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FINN: Feedback Interactive Neural Network for Intent Recommendation.

, , , , , and . WWW, page 1949-1958. ACM / IW3C2, (2021)

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Collective topic modeling for heterogeneous networks., , and . SIGIR, page 1109-1110. ACM, (2011)Joint Optimization of Ad Ranking and Creative Selection., , , , , , , and . SIGIR, page 2341-2346. ACM, (2022)Path-based Deep Network for Candidate Item Matching in Recommenders., , , , , , , and . SIGIR, page 1493-1502. ACM, (2021)CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network., , , , and . SIGIR, page 229-238. ACM, (2020)Explanation as a Defense of Recommendation., , , and . WSDM, page 1029-1037. ACM, (2021)CAN: Feature Co-Action Network for Click-Through Rate Prediction., , , , , , , , , and 5 other author(s). WSDM, page 57-65. ACM, (2022)Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network., , , , and . IEEE Trans. Knowl. Data Eng., 25 (8): 1876-1889 (2013)Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models., , , , , , and . CoRR, (2022)Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model., , , , , , , , and . CoRR, (2022)Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach., , , , , , and . WWW, page 579-590. ACM, (2016)