Modelling Coarse- and Fine-grained User Representation for News Recommendation
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- Modelling Coarse- and Fine-grained User Representation for News Recommendation
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FUM: Fine-grained and Fast User Modeling for News Recommendation
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalUser modeling is important for news recommendation. Existing methods usually first encode user's clicked news into news embeddings independently and then aggregate them into user embedding. However, the word-level interactions across different clicked ...
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Association for Computing Machinery
New York, NY, United States
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