2025
PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation.
CoRR, January, 2025
A compact autonomous inspection system for greenhouse environmental information sensing and three-dimensional visualization.
Comput. Electron. Agric., 2025
2024
HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network.
IEEE Trans. Knowl. Data Eng., December, 2024
Inductive Lottery Ticket Learning for Graph Neural Networks.
J. Comput. Sci. Technol., November, 2024
How graph convolutions amplify popularity bias for recommendation?
Frontiers Comput. Sci., October, 2024
Mitigating Hidden Confounding Effects for Causal Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2024
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng., September, 2024
Causal Inference in Recommender Systems: A Survey and Future Directions.
ACM Trans. Inf. Syst., July, 2024
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning.
ACM Trans. Knowl. Discov. Data, June, 2024
Causal Incremental Graph Convolution for Recommender System Retraining.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Learning to Double-Check Model Prediction From a Causal Perspective.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
ACM Trans. Inf. Syst., January, 2024
Feature Mixture on Pre-Trained Model for Few-Shot Learning.
IEEE Trans. Image Process., 2024
Information Discovery in E-commerce.
Found. Trends Inf. Retr., 2024
SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations.
CoRR, 2024
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters.
CoRR, 2024
Unified Parameter-Efficient Unlearning for LLMs.
CoRR, 2024
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.
CoRR, 2024
Personalized Image Generation with Large Multimodal Models.
CoRR, 2024
RosePO: Aligning LLM-based Recommenders with Human Values.
CoRR, 2024
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.
CoRR, 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.
CoRR, 2024
Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.
CoRR, 2024
Reinforced Prompt Personalization for Recommendation with Large Language Models.
CoRR, 2024
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.
CoRR, 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.
CoRR, 2024
A Survey of Generative Search and Recommendation in the Era of Large Language Models.
CoRR, 2024
Exact and Efficient Unlearning for Large Language Model-based Recommendation.
CoRR, 2024
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.
CoRR, 2024
DiFashion: Towards Personalized Outfit Generation and Recommendation.
CoRR, 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation.
CoRR, 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection.
CoRR, 2024
Large Language Models for Recommendation: Progresses and Future Directions.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
The 2nd Workshop on Recommendation with Generative Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
Item-side Fairness of Large Language Model-based Recommendation System.
Proceedings of the ACM on Web Conference 2024, 2024
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation.
Proceedings of the ACM on Web Conference 2024, 2024
Proactive Recommendation with Iterative Preference Guidance.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Diffusion Models for Generative Outfit Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Large Language Models are Learnable Planners for Long-Term Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
LLaRA: Large Language-Recommendation Assistant.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
β-DPO: Direct Preference Optimization with Dynamic β.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
A3S: A General Active Clustering Method with Pairwise Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards 3D Molecule-Text Interpretation in Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Boosting Few-Shot Learning via Attentive Feature Regularization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Text-to-Image Generation for Abstract Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.
IEEE Trans. Big Data, December, 2023
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
ACM Trans. Inf. Syst., October, 2023
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023
Rumor detection with self-supervised learning on texts and social graph.
Frontiers Comput. Sci., August, 2023
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023
Time-aware Path Reasoning on Knowledge Graph for Recommendation.
ACM Trans. Inf. Syst., April, 2023
CatGCN: Graph Convolutional Networks With Categorical Node Features.
IEEE Trans. Knowl. Data Eng., April, 2023
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
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Trans. Recomm. Syst., March, 2023
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.
IEEE Trans. Knowl. Data Eng., March, 2023
Bundle Recommendation and Generation With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation.
IEEE Trans. Comput. Soc. Syst., February, 2023
Boosting Hyperspectral Image Classification with Dual Hierarchical Learning.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023
Interactive active learning for fairness with partial group label.
AI Open, January, 2023
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
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AI Open, January, 2023
Bias and Debias in Recommender System: A Survey and Future Directions.
ACM Trans. Inf. Syst., 2023
Addressing Confounding Feature Issue for Causal Recommendation.
ACM Trans. Inf. Syst., 2023
Incorporating Price into Recommendation With Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2023
Adversarial Attack on Large Scale Graph.
IEEE Trans. Knowl. Data Eng., 2023
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions.
IEEE Trans. Knowl. Data Eng., 2023
Reinforced Causal Explainer for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
CoRR, 2023
CAR: Consolidation, Augmentation and Regulation for Recipe Retrieval.
CoRR, 2023
Large Language Model Can Interpret Latent Space of Sequential Recommender.
CoRR, 2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.
CoRR, 2023
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation.
CoRR, 2023
A Content-Driven Micro-Video Recommendation Dataset at Scale.
CoRR, 2023
Selective Volume Mixup for Video Action Recognition.
CoRR, 2023
Label Denoising through Cross-Model Agreement.
CoRR, 2023
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.
CoRR, 2023
Recommendation Unlearning via Influence Function.
CoRR, 2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR, 2023
Generative Recommendation: Towards Next-generation Recommender Paradigm.
CoRR, 2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors.
CoRR, 2023
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.
CoRR, 2023
Weakly Supervised Anomaly Detection: A Survey.
CoRR, 2023
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion.
CoRR, 2023
GIF: A General Graph Unlearning Strategy via Influence Function.
Proceedings of the ACM Web Conference 2023, 2023
On the Theories Behind Hard Negative Sampling for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.
Proceedings of the ACM Web Conference 2023, 2023
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Alleviating Structural Distribution Shift in Graph Anomaly Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Cooperative Explanations of Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Unbiased Knowledge Distillation for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Causal Recommendation: Progresses and Future Directions.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Diffusion Recommender Model.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
RecAD: Towards A Unified Library for Recommender Attack and Defense.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Understanding Contrastive Learning via Distributionally Robust Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CgT-GAN: CLIP-guided Text GAN for Image Captioning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Discriminative-Invariant Representation Learning for Unbiased Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
The 1st Workshop on Recommendation with Generative Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
How Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Counterfactual Active Learning for Out-of-Distribution Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Knowledge Graph Embedding by Normalizing Flows.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Multimedia Recommender Systems: Algorithms and Challenges.
Proceedings of the Recommender Systems Handbook, 2022
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2.
ACM Trans. Inf. Syst., 2022
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst., 2022
Hierarchical User Intent Graph Network for Multimedia Recommendation.
IEEE Trans. Multim., 2022
Modeling Product's Visual and Functional Characteristics for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022
A Survey on Large-Scale Machine Learning.
IEEE Trans. Knowl. Data Eng., 2022
Modelling High-Order Social Relations for Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Learning Vertex Representations for Bipartite Networks.
IEEE Trans. Knowl. Data Eng., 2022
Cross-domain Recommendation with Bridge-Item Embeddings.
ACM Trans. Knowl. Discov. Data, 2022
Spatio-Temporal Collaborative Module for Efficient Action Recognition.
IEEE Trans. Image Process., 2022
Attention in Attention: Modeling Context Correlation for Efficient Video Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022
A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Learning to Compose and Reason with Language Tree Structures for Visual Grounding.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Exploring lottery ticket hypothesis in media recommender systems.
Int. J. Intell. Syst., 2022
Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022
Adversarial Causal Augmentation for Graph Covariate Shift.
CoRR, 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network.
CoRR, 2022
Differentiable Invariant Causal Discovery.
CoRR, 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph.
CoRR, 2022
KuaiRec: A Fully-observed Dataset for Recommender Systems.
CoRR, 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks.
CoRR, 2022
On the Effectiveness of Sampled Softmax Loss for Item Recommendation.
CoRR, 2022
Learning Robust Recommenders through Cross-Model Agreement.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Causal Representation Learning for Out-of-Distribution Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Cross Pairwise Ranking for Unbiased Item Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Accepted Tutorials at The Web Conference 2022.
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Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Graph Neural Networks for Recommender System.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022
Self-Supervised Learning for Recommender System.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Interpolative Distillation for Unifying Biased and Debiased Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Hierarchical Hourglass Convolutional Network for Efficient Video Classification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Invariant Representation Learning for Multimedia Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Multi-directional Knowledge Transfer for Few-Shot Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Causal Attention for Interpretable and Generalizable Graph Classification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2022
Discovering Invariant Rationales for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Group Contextualization for Video Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Self-Supervised Learning for Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Visually aware recommendation with aesthetic features.
VLDB J., 2021
Socializing the Videos: A Multimodal Approach for Social Relation Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users.
ACM Trans. Inf. Syst., 2021
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.
ACM Trans. Inf. Syst., 2021
Generating Face Images With Attributes for Free.
IEEE Trans. Neural Networks Learn. Syst., 2021
Learning to Recommend With Multiple Cascading Behaviors.
IEEE Trans. Knowl. Data Eng., 2021
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure.
IEEE Trans. Knowl. Data Eng., 2021
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.
IEEE Trans. Knowl. Data Eng., 2021
Social-Enhanced Attentive Group Recommendation.
IEEE Trans. Knowl. Data Eng., 2021
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences.
Inf. Sci., 2021
Deconfounded Training for Graph Neural Networks.
CoRR, 2021
Learning Robust Recommender from Noisy Implicit Feedback.
CoRR, 2021
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.
CoRR, 2021
Hierarchical User Intent Graph Network forMultimedia Recommendation.
CoRR, 2021
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
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CoRR, 2021
Probabilistic and Variational Recommendation Denoising.
CoRR, 2021
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.
CoRR, 2021
Structure-enhanced meta-learning for few-shot graph classification.
AI Open, 2021
Advances and challenges in conversational recommender systems: A survey.
AI Open, 2021
Disentangling User Interest and Conformity for Recommendation with Causal Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Denoising Implicit Feedback for Recommendation.
Proceedings of the WSDM '21, 2021
Causal Intervention for Leveraging Popularity Bias in Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Self-supervised Graph Learning for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
AutoDebias: Learning to Debias for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Towards Multi-Grained Explainability for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Selective Dependency Aggregation for Action Classification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Deconfounded Recommendation for Alleviating Bias Amplification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Graph Learning based Recommender Systems: A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Time horizon-aware modeling of financial texts for stock price prediction.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
A Deep Learning Framework for Self-evolving Hierarchical Community Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Empowering Language Understanding with Counterfactual Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Learning Visual Elements of Images for Discovery of Brand Posts.
ACM Trans. Multim. Comput. Commun. Appl., 2020
Improving Implicit Recommender Systems with Auxiliary Data.
ACM Trans. Inf. Syst., 2020
Fast Matrix Factorization With Nonuniform Weights on Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2020
Knowledge-Based Topic Model for Multi-Modal Social Event Analysis.
IEEE Trans. Multim., 2020
Hierarchical Attention Network for Visually-Aware Food Recommendation.
IEEE Trans. Multim., 2020
Adversarial Training Towards Robust Multimedia Recommender System.
IEEE Trans. Knowl. Data Eng., 2020
Generative Adversarial Active Learning for Unsupervised Outlier Detection.
IEEE Trans. Knowl. Data Eng., 2020
ATM: An Attentive Translation Model for Next-Item Recommendation.
IEEE Trans. Ind. Informatics, 2020
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020
Video-based recipe retrieval.
Inf. Sci., 2020
MGAT: Multimodal Graph Attention Network for Recommendation.
Inf. Process. Manag., 2020
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction.
Inf. Process. Manag., 2020
Deep Learning for Matching in Search and Recommendation.
Found. Trends Inf. Retr., 2020
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.
CoRR, 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
CoRR, 2020
One Person, One Model, One World: Learning Continual User Representation without Forgetting.
CoRR, 2020
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue.
CoRR, 2020
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning.
CoRR, 2020
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR, 2020
Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020
A Survey of Adversarial Learning on Graphs.
CoRR, 2020
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions.
CoRR, 2020
Bilinear Graph Neural Network with Node Interactions.
CoRR, 2020
Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation.
CoRR, 2020
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
How to Retrain Recommender System?: A Sequential Meta-Learning Method.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Disentangled Graph Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Conversational Recommendation: Formulation, Methods, and Evaluation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Multi-behavior Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Modeling Personalized Item Frequency Information for Next-basket Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
FinIR 2020: The First Workshop on Information Retrieval in Finance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Bundle Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
How to Learn Item Representation for Cold-Start Multimedia Recommendation?
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Interactive Path Reasoning on Graph for Conversational Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Bilinear Graph Neural Network with Neighbor Interactions.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Modeling Personalized Out-of-Town Distances in Location Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Price-aware Recommendation with Graph Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Improving Neural Relation Extraction with Implicit Mutual Relations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Item-based Collaborative Filtering for Top-N Recommendation.
ACM Trans. Inf. Syst., 2019
Attentive Aspect Modeling for Review-Aware Recommendation.
ACM Trans. Inf. Syst., 2019
Temporal Relational Ranking for Stock Prediction.
ACM Trans. Inf. Syst., 2019
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering.
ACM Trans. Inf. Syst., 2019
Special issue on multimedia recommendation and multi-modal data analysis.
Multim. Syst., 2019
Modeling the Past and Future Contexts for Session-based Recommendation.
CoRR, 2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels.
CoRR, 2019
Learning Vertex Representations for Bipartite Networks.
CoRR, 2019
Cross-domain Recommendation Without Sharing User-relevant Data.
Proceedings of the World Wide Web Conference, 2019
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.
Proceedings of the World Wide Web Conference, 2019
A Simple Convolutional Generative Network for Next Item Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Interpretable Fashion Matching with Rich Attributes.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Neural Graph Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Learning Subjective Attributes of Images from Auxiliary Sources.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Mixed-dish Recognition with Contextual Relation Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
KGAT: Knowledge Graph Attention Network for Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Sets2Sets: Learning from Sequential Sets with Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Modeling Extreme Events in Time Series Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
λOpt: Learn to Regularize Recommender Models in Finer Levels.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Enhancing Stock Movement Prediction with Adversarial Training.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Reinforced Negative Sampling for Recommendation with Exposure Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Neural Multi-task Recommendation from Multi-behavior Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Counterfactual Critic Multi-Agent Training for Scene Graph Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Learning and Reasoning on Graph for Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Explainable Reasoning over Knowledge Graphs for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Attributed Social Network Embedding.
IEEE Trans. Knowl. Data Eng., 2018
NAIS: Neural Attentive Item Similarity Model for Recommendation.
IEEE Trans. Knowl. Data Eng., 2018
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation.
CoRR, 2018
Fast Matrix Factorization with Non-Uniform Weights on Missing Data.
CoRR, 2018
Improving Stock Movement Prediction with Adversarial Training.
CoRR, 2018
Visually-aware Collaborative Food Recommendation.
CoRR, 2018
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.
CoRR, 2018
Learning Recommender Systems from Multi-Behavior Data.
CoRR, 2018
A Simple but Hard-to-Beat Baseline for Session-based Recommendations.
CoRR, 2018
Aesthetic-based Clothing Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
TEM: Tree-enhanced Embedding Model for Explainable Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Learning on Partial-Order Hypergraphs.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
f<sub>BGD</sub>: Learning Embeddings From Positive Unlabeled Data with BGD.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
A Personal Privacy Preserving Framework: I Let You Know Who Can See What.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Fast Scalable Supervised Hashing.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Attentive Moment Retrieval in Videos.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Attentive Group Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Adversarial Personalized Ranking for Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
BiNE: Bipartite Network Embedding.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018
Knowledge-aware Multimodal Dialogue Systems.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Interpretable Multimodal Retrieval for Fashion Products.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Beyond the Product: Discovering Image Posts for Brands in Social Media.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Recommendation Technologies for Multimedia Content.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018
Cross-Domain Depression Detection via Harvesting Social Media.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Discrete Factorization Machines for Fast Feature-based Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Improving Implicit Recommender Systems with View Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Outer Product-based Neural Collaborative Filtering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Batch IS NOT Heavy: Learning Word Representations From All Samples.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts.
ACM Trans. Inf. Syst., 2017
Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search.
IEEE Trans. Multim., 2017
BiRank: Towards Ranking on Bipartite Graphs.
IEEE Trans. Knowl. Data Eng., 2017
A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System.
Sensors, 2017
Version-sensitive mobile App recommendation.
Inf. Sci., 2017
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search.
CoRR, 2017
Neural Collaborative Filtering.
Proceedings of the 26th International Conference on World Wide Web, 2017
A Generic Coordinate Descent Framework for Learning from Implicit Feedback.
Proceedings of the 26th International Conference on World Wide Web, 2017
Item Silk Road: Recommending Items from Information Domains to Social Users.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Neural Factorization Machines for Sparse Predictive Analytics.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Video Question Answering via Gradually Refined Attention over Appearance and Motion.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Enhancing Micro-video Understanding by Harnessing External Sounds.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Multiview and Multimodal Pervasive Indoor Localization.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
How Personality Affects our Likes: Towards a Better Understanding of Actionable Images.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Discrete Collaborative Filtering.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Fast Matrix Factorization for Online Recommendation with Implicit Feedback.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Shorter-is-Better: Venue Category Estimation from Micro-Video.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Context-aware Image Tweet Modelling and Recommendation.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
2015
Differential spread strategy: An incentive for advertisement dissemination.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015
TriRank: Review-aware Explainable Recommendation by Modeling Aspects.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
VELDA: Relating an Image Tweet's Text and Images.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Comment-based multi-view clustering of web 2.0 items.
Proceedings of the 23rd International World Wide Web Conference, 2014
Predicting the popularity of web 2.0 items based on user comments.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
2013
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
2010
Recording How-Provenance on Probabilistic Databases.
Proceedings of the Advances in Web Technologies and Applications, 2010