2024
Revisiting Bundle Recommendation for Intent-aware Product Bundling.
Trans. Recomm. Syst., September, 2024
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach.
ACM Trans. Knowl. Discov. Data, June, 2024
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data.
Data Min. Knowl. Discov., May, 2024
Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation.
ACM Trans. Web, February, 2024
A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning.
IEEE/ACM Trans. Netw., February, 2024
Understanding Diversity in Session-based Recommendation.
ACM Trans. Inf. Syst., January, 2024
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System.
ACM Trans. Inf. Syst., January, 2024
Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback.
CoRR, 2024
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation.
CoRR, 2024
A Simple Yet Effective Approach for Diversified Session-Based Recommendation.
CoRR, 2024
Adaptive In-Context Learning with Large Language Models for Bundle Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2023
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Improving the identification of miRNA-disease associations with multi-task learning on gene-disease networks.
Briefings Bioinform., July, 2023
Purpose tendency-aware diversified strategy for effective session-based recommendation.
Electron. Commer. Res. Appl., January, 2023
Dynamic Opinion Maximization in Social Networks.
IEEE Trans. Knowl. Data Eng., 2023
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.
CoRR, 2023
Decentralized Matrix Factorization with Heterogeneous Differential Privacy.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Integrating social influence modeling and user modeling for trust prediction in signed networks.
Artif. Intell., 2022
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2021
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks.
Proceedings of the 20th IEEE International Conference on Trust, 2021
2020
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.
ACM Trans. Inf. Syst., 2020
A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling".
Electron. Commer. Res. Appl., 2020
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
2019
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl., 2019
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
Proceedings of the Web Engineering - 19th International Conference, 2019
Supervised User Ranking in Signed Social Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A generalized stereotype learning approach and its instantiation in trust modeling.
Electron. Commer. Res. Appl., 2018
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
FILE: A Novel Framework for Predicting Social Status in Signed Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Rethinking the Link Prediction Problem in Signed Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2015
Multi-faceted trust and distrust prediction for recommender systems.
Decis. Support Syst., 2015
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings.
Proceedings of the 17th International Conference on Electronic Commerce 2015, 2015
2014
Reputation mechanism for e-commerce in virtual reality environments.
Electron. Commer. Res. Appl., 2014
SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
Subjectivity grouping: learning from users' rating behavior.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
RepRev: Mitigating the Negative Effects of Misreported Ratings.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Towards effective online review systems in the Chinese context: A cross-cultural empirical study.
Electron. Commer. Res. Appl., 2013
Supporting group collaboration in Wiki by increasing the awareness of task conflict.
Aslib Proc., 2013
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity.
Proceedings of the IJCAI 2013, 2013
A trust model stemmed from the diffusion theory for opinion evaluation.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
2012
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites.
Proceedings of the 11th IEEE International Conference on Trust, 2012
A Generalized Stereotypical Trust Model.
Proceedings of the 11th IEEE International Conference on Trust, 2012
SARC: subjectivity alignment for reputation computation.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
The Influence of Interaction Attributes on Trust in Virtual Communities.
Proceedings of the Advances in User Modeling, 2011
Handling Subjective User Feedback for Reputation Computation in Virtual Reality.
Proceedings of the Advances in User Modeling, 2011
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation.
Proceedings of the IEEE 10th International Conference on Trust, 2011
A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment.
Proceedings of the IEEE 10th International Conference on Trust, 2011
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011