Zhaochun Ren

Orcid: 0000-0002-9076-6565

Affiliations:
  • Leiden University, The Netherlands
  • Shandong University, Qingdao, China (former)
  • JD.com, Beijing, China (former)
  • University of Amsterdam, The Netherlands (former)


According to our database1, Zhaochun Ren authored at least 196 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
ACM Trans. Inf. Syst., September, 2024

Report on the Search Futures Workshop at ECIR 2024.
SIGIR Forum, June, 2024

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing.
ACM Trans. Inf. Syst., May, 2024

Center-retained fine-tuning for conversational question ranking through unsupervised center identification.
Inf. Process. Manag., March, 2024

Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems.
ACM Trans. Inf. Syst., January, 2024

Unifying heterogeneous and homogeneous relations for personalized compatibility modeling.
Knowl. Based Syst., 2024

Situation-aware empathetic response generation.
Inf. Process. Manag., 2024

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.
CoRR, 2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.
CoRR, 2024

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization.
CoRR, 2024

Information Discovery in e-Commerce.
CoRR, 2024

Cognitive Biases in Large Language Models for News Recommendation.
CoRR, 2024

What are the limits of cross-lingual dense passage retrieval for low-resource languages?
CoRR, 2024

Generative Retrieval with Few-shot Indexing.
CoRR, 2024

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory.
CoRR, 2024

Chain of Tools: Large Language Model is an Automatic Multi-tool Learner.
CoRR, 2024

ExcluIR: Exclusionary Neural Information Retrieval.
CoRR, 2024

Offline Trajectory Generalization for Offline Reinforcement Learning.
CoRR, 2024

Enhanced Generative Recommendation via Content and Collaboration Integration.
CoRR, 2024

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation.
CoRR, 2024

On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.
CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
CoRR, 2024

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
CoRR, 2024

Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models.
CoRR, 2024

LLM-based Federated Recommendation.
CoRR, 2024

A Multi-Agent Conversational Recommender System.
CoRR, 2024

Zero-Shot Position Debiasing for Large Language Models.
CoRR, 2024

Generative News Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

On the Effectiveness of Unlearning in Session-Based Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Disentangling ID and Modality Effects for Session-based Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Recent Advances in Generative Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Generative Retrieval as Multi-Vector Dense Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

R<sup>3</sup>AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Towards Empathetic Conversational Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Learning to Use Tools via Cooperative and Interactive Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Search Futures Workshop.
Proceedings of the Advances in Information Retrieval, 2024

Answer Retrieval in Legal Community Question Answering.
Proceedings of the Advances in Information Retrieval, 2024

Improving the Robustness of Large Language Models via Consistency Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Content-Based Collaborative Generation for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

An Iterative Associative Memory Model for Empathetic Response Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Self-Supervised Position Debiasing for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning to Ask: Conversational Product Search via Representation Learning.
ACM Trans. Inf. Syst., April, 2023

Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations.
IEEE Trans. Knowl. Data Eng., April, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Improving Transformer-based Sequential Recommenders through Preference Editing.
ACM Trans. Inf. Syst., 2023

On the User Behavior Leakage from Recommender System Exposure.
ACM Trans. Inf. Syst., 2023

Learning Robust Sequential Recommenders through Confident Soft Labels.
CoRR, 2023

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.
CoRR, 2023

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.
CoRR, 2023

Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues.
CoRR, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent.
CoRR, 2023

Modeling Sequential Recommendation as Missing Information Imputation.
CoRR, 2023

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation.
Proceedings of the ACM Web Conference 2023, 2023

A Self-Correcting Sequential Recommender.
Proceedings of the ACM Web Conference 2023, 2023

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Explainable Conversational Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning to Tokenize for Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploiting Emotion-Semantic Correlations for Empathetic Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards a Unified Framework for Reference Retrieval and Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Syllogistic Reasoning for Legal Judgment Analysis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generative Knowledge Selection for Knowledge-Grounded Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Privacy-Preserving Federated Learning via Disentanglement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Answering Ambiguous Questions via Iterative Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UMSE: Unified Multi-scenario Summarization Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Learning Reduces Hallucination in Conversations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Feature-Level Debiased Natural Language Understanding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Question Tagging via Graph-guided Ranking.
ACM Trans. Inf. Syst., 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

Mixed Information Flow for Cross-Domain Sequential Recommendations.
ACM Trans. Knowl. Discov. Data, 2022

HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning.
IEEE J. Biomed. Health Informatics, 2022

Improving legal judgment prediction through reinforced criminal element extraction.
Inf. Process. Manag., 2022

Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding.
CoRR, 2022

Improving Conversational Recommender Systems via Transformer-based Sequential Modelling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Personalized Abstractive Opinion Tagging.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Variational Reasoning about User Preferences for Conversational Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Event Transition Planning for Open-ended Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Knowledge Bridging for Empathetic Dialogue Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Conversations with Search Engines: SERP-based Conversational Response Generation.
ACM Trans. Inf. Syst., 2021

Meaningful Answer Generation of E-Commerce Question-Answering.
ACM Trans. Inf. Syst., 2021

M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues.
CoRR, 2021

Few-Shot Electronic Health Record Coding through Graph Contrastive Learning.
CoRR, 2021

Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Abstractive Opinion Tagging.
Proceedings of the WSDM '21, 2021

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Conversations Powered by Cross-Lingual Knowledge.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Wizard of Search Engine: Access to Information Through Conversations with Search Engines.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Semi-Supervised Variational Reasoning for Medical Dialogue Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-Type Textual Reasoning for Product-Aware Answer Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Description Generation for Points of Interest.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Membership Inference Attacks Against Recommender Systems.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Learning to Ask Conversational Questions by Optimizing Levenshtein Distance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation.
IEEE Trans. Knowl. Data Eng., 2020

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020

Mixed Information Flow for Cross-domain Sequential Recommendations.
CoRR, 2020

Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling.
CoRR, 2020

Conversations with Search Engines.
CoRR, 2020

Keywords Generation Improves E-Commerce Session-based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 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

Coding Electronic Health Records with Adversarial Reinforcement Path Generation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Meta Matrix Factorization for Federated Rating Predictions.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Streaming Graph Neural Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Auxiliary Template-Enhanced Generative Compatibility Modeling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

VN Network: Embedding Newly Emerging Entities with Virtual Neighbors.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation.
CoRR, 2019

From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions.
CoRR, 2019

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations.
CoRR, 2019

From Stances' Imbalance to Their HierarchicalRepresentation and Detection.
Proceedings of the World Wide Web Conference, 2019

Improving Outfit Recommendation with Co-supervision of Fashion Generation.
Proceedings of the World Wide Web Conference, 2019

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Product-Aware Answer Generation in E-Commerce Question-Answering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Robust Embedding with Multi-Level Structures for Link Prediction.
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

Vectors of Pairwise Item Preferences.
Proceedings of the Advances in Information Retrieval, 2019

Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Spectral Clustering in Heterogeneous Information Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Abstractive Text Summarization by Incorporating Reader Comments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sentence Relations for Extractive Summarization with Deep Neural Networks.
ACM Trans. Inf. Syst., 2018

Linear feature extraction for ranking.
Inf. Retr. J., 2018

User session level diverse reranking of search results.
Neurocomputing, 2018

Dynamic Graph Neural Networks.
CoRR, 2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation.
CoRR, 2018

Manifold Learning for Rank Aggregation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Hierarchical Variational Memory Network for Dialogue Generation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 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

Dynamic Embeddings for User Profiling in Twitter.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Knowledge Diffusion for Neural Dialogue Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 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

2017
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering.
ACM Trans. Inf. Syst., 2017

Neural Attentive Session-based Recommendation.
CoRR, 2017

Preserving Local and Global Information for Network Embedding.
CoRR, 2017

A Concept Language Model for Ad-hoc Retrieval.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Summarizing Answers in Non-Factoid Community Question-Answering.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Social Collaborative Viewpoint Regression with Explainable Recommendations.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Neural Rating Regression with Abstractive Tips Generation for Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Neural Attentive Session-based Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Collaborative User Clustering for Short Text Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Efficient Structured Learning for Personalized Diversification.
IEEE Trans. Knowl. Data Eng., 2016

Explainable User Clustering in Short Text Streams.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Summary Generation for Temporal Extractions.
Proceedings of the Database and Expert Systems Applications, 2016

Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Mining and ranking users' intents behind queries.
Inf. Retr. J., 2015

The University of Amsterdam (ILPS) at TREC 2015 Total Recall Track.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014
Hierarchical multi-label classification of social text streams.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Fusion helps diversification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Personalized search result diversification via structured learning.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search.
Proceedings of the Advances in Information Retrieval, 2014

Time-Aware Rank Aggregation for Microblog Search.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Personalized time-aware tweets summarization.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Ranking-oriented nearest-neighbor based method for automatic image annotation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Semantic Linking and Contextualization for Social Forensic Text Analysis.
Proceedings of the 2013 European Intelligence and Security Informatics Conference, 2013

2012
PRAVDA-live: interactive knowledge harvesting.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A hybrid relevant-diverse approach for image re-ranking with multiple features.
Int. J. Comput. Math., 2011

Dynamically Modeling Semantic Dependencies in Web Forum Threads.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Summarizing web forum threads based on a latent topic propagation process.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


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