Recommender Systems

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
Conversational recommender systems (CRS) utilize natural language interactions and dialogue history to infer user preferences and …
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Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation
Recommender systems have been widely adopted in various online personal e-commerce applications for improving user experience. A …
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A Survey on Fairness-aware Recommender Systems
As information filtering services, recommender systems have extremely enriched our daily life by providing personalized suggestions and …
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Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation
Recommender systems are essential to various fields, e.g., e-commerce, e-learning, and streaming media. At present, session-based …
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
Large-scale e-commercial platforms in the real-world usually contain various recommendation scenarios (domains) to meet demands of …
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Hypergraph Convolutional Network for Group Recommendation
Group activities have become an essential part of people’s daily life, which stimulates the requirement for intensive research on the …
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Task-adaptive Neural Process for User Cold-Start Recommendation
User cold-start recommendation is a long-standing challenge for recommender systems due to the fact that only a few interactions of …
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Exploiting Implicit Influence from Information Propagation for Social Recommendation
Social recommender systems have attracted a lot of attention from academia and industry. On social media, users’ ratings and reviews …
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Social recommendation with evolutionary opinion dynamics
When users in online social networks make a decision, they are often affected by their neighbors. Social recommendation models utilize …
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