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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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02/22/2023
A Survey on User Behavior Modeling in Recommender Systems
User Behavior Modeling (UBM) plays a critical role in user interest lear...
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06/17/2022
A Graph-Enhanced Click Model for Web Search
To better exploit search logs and model users' behavior patterns, numero...
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03/23/2022
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
The goal of recommender systems is to provide ordered item lists to user...
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10/18/2021
Context-aware Reranking with Utility Maximization for Recommendation
As a critical task for large-scale commercial recommender systems, reran...
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08/11/2021
Retrieval Interaction Machine for Tabular Data Prediction
Prediction over tabular data is an essential task in many data science a...
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06/25/2021
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
Fairness in recommendation has attracted increasing attention due to bia...
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04/13/2021
An Adversarial Imitation Click Model for Information Retrieval
Modern information retrieval systems, including web search, ads placemen...
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05/21/2020
Opportunistic Multi-aspect Fairness through Personalized Re-ranking
As recommender systems have become more widespread and moved into areas ...
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04/25/2020
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
Modeling the sequential correlation of users' historical interactions is...
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12/30/2019
Consistency-Aware Recommendation for User-Generated ItemList Continuation
User-generated item lists are popular on many platforms. Examples includ...
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11/26/2019
Contextual Combinatorial Conservative Bandits
The problem of multi-armed bandits (MAB) asks to make sequential decisio...
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09/10/2019
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
The item cold-start problem seriously limits the recommendation performa...
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09/10/2019
PMD: A New User Distance for Recommender Systems
Collaborative filtering, a widely-used recommendation technique, predict...
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06/22/2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
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06/13/2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Graph Neural Networks (GNNs) achieve an impressive performance on struct...
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09/09/2018