Jingjie Li
3 papers in the PaperMetrix corpus
Papers by this author
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RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT
2021
Personalized news recommendation aims to alleviate information overload and help users find news of their interests. Accurately matching candidate news and users' interests is the key to news recommendation. Most existing methods separately encode each …
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UNBERT: User-News Matching BERT for News Recommendation
2021
Nowadays, news recommendation has become a popular channel for users to access news of their interests. How to represent rich textual contents of news and precisely match users' interests and candidate news lies in the …
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Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
2022 · arXiv (Cornell University)
Learning vectorized embeddings is at the core of various recommender systems for user-item matching. To perform efficient online inference, representation quantization, aiming to embed the latent features by a compact sequence of discrete numbers, recently …