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08/29/2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
As powerful tools for representation learning on graphs, graph neural ne...
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02/13/2023
Enhancing User Personalization in Conversational Recommenders
Conversational recommenders are emerging as a powerful tool to personali...
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10/13/2022
Closed-book Question Generation via Contrastive Learning
Question Generation (QG) is a fundamental NLP task for many downstream a...
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08/08/2022
Towards Fair Conversational Recommender Systems
Conversational recommender systems have demonstrated great success. They...
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08/05/2022
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
Conversational recommender systems (CRS) have shown great success in acc...
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12/28/2021
Session-based Recommendation with Hypergraph Attention Networks
Session-based recommender systems aim to improve recommendations in shor...
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09/22/2021
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model
Online video services acquire new content on a daily basis to increase e...
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07/13/2021
Sequential Recommendation for Cold-start Users with Meta Transitional Learning
A fundamental challenge for sequential recommenders is to capture the se...
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03/14/2021
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning
Recommendation algorithms typically build models based on historical use...
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12/30/2019
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
User-generated item lists are a popular feature of many different platfo...
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09/09/2018
