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Chapter and Conference Paper
Contrastive Learning for Session-Based Recommendation
Session-based recommendation predicts the next item to recommend by modeling session sequences. Existing methods usually treat this task as a sequential prediction task. Though these methods have achieved prom...
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Chapter and Conference Paper
Your Social Circle Affects Your Interests: Social Influence Enhanced Session-Based Recommendation
Session-based recommendation aims at predicting the next item given a series of historical items a user interacts with in a session. Many works try to make use of social network to achieve a better recommendat...
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Chapter and Conference Paper
Unsupervised Text Style Transfer via an Enhanced Operation Pipeline
Unsupervised text style transfer aims to change the style attribute of the given unpaired texts while preserving the style-independent semantic content. In order to preserve the content, some methods directly ...