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Wenjie, Li
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Interactive recommendation with user-specific deep reinforcement learning
Lei Y., Li W. ACM Transactions on Knowledge Discovery from Data 13(6): 1-15, 2019. Type: Article
Recommender systems are widely used, especially by online applications with a view to enhancing user experience. In most conventional systems, past history of a user’s implicit online behavior is used to derive a new recommen...
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Mar 2 2020
Information diffusion prediction with network regularized role-based user representation learning
Wang Z., Chen C., Li W. ACM Transactions on Knowledge Discovery from Data 13(3): 1-23, 2019. Type: Article
Wang et al. propose and evaluate the network regularized diffusion representation (NRDR) learning model to tackle the issue of information diffusion prediction. The results show that NRDR works better than other state-of-the-art models...
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Sep 12 2019
Sequential summarization: a full view of Twitter trending topics
Mladenovic M., Gao D., Li W., Cai X., Zhang R., Ouyang Y. IEEE/ACM Transactions on Audio, Speech and Language Processing 22(2): 293-302, 2014. Type: Article
This paper describes an approach to summarize trending topics on Twitter. The tweets for a given topic are linearly segmented into more granular subtopics that define a single action or event....
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Jul 11 2014
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