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DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades.

, , , , and . CIKM, page 1149-1158. ACM, (2017)

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What We Vote for? Answer Selection from User Expertise View in Community Question Answering., , , , and . WWW, page 1198-1209. ACM, (2019)DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades., , , , and . CIKM, page 1149-1158. ACM, (2017)Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction., , , , , , and . KDD, page 2078-2086. ACM, (2019)ULE: Learning User and Location Embeddings for POI Recommendation., , , and . DSC, page 99-106. IEEE, (2018)Representation Learning-Assisted Click-Through Rate Prediction., , , , , and . IJCAI, page 4561-4567. ijcai.org, (2019)Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation., , , and . IJCAI, page 3877-3883. ijcai.org, (2018)Truth Discovery by Claim and Source Embedding., , , and . CIKM, page 2183-2186. ACM, (2017)A Non-negative Symmetric Encoder-Decoder Approach for Community Detection., , , , and . CIKM, page 597-606. ACM, (2017)Learning Cost-Effective Social Embedding for Cascade Prediction., , , , , and . SMP, volume 669 of Communications in Computer and Information Science, page 1-13. (2016)Learning representations for quality estimation of crowdsourced submissions., , , and . Inf. Process. Manage., 56 (4): 1484-1493 (2019)