Mingxiao An
4 papers in the PaperMetrix corpus
Papers by this author
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NPA
2019
News recommendation is very important to help users find interested news and alleviate information overload. Different users usually have different interests and the same user may have various interests. Thus, different users may click the …
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Neural News Recommendation with Long- and Short-term User Representations
2019
Personalized news recommendation is important to help users find their interested news and improve reading experience. A key problem in news recommendation is learning accurate user representations to capture their interests. Users usually have both …
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Neural News Recommendation with Topic-Aware News Representation
2019
News recommendation can help users find interested news and alleviate information overload. The topic information of news is critical for learning accurate news and user representations for news recommendation. However, it is not considered in …
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Neural News Recommendation with Attentive Multi-View Learning
2019
Personalized news recommendation is very important for online news platforms to help users find interested news and improve user experience. News and user representation learning is critical for news recommendation. Existing news recommendation methods usually …