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Precise user modeling is critical for online personalized recommendation services.
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Personalized top-n sequential recommendation via convolutional sequence embedding. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining . 565–573
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Multi-interest network with dynamic routing for recommendation at Tmall. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 2615–2623
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Deep Interest Evolution Network for Click-Through Rate Prediction. In Thirty-Third AAAI Conference on Artificial Intelligence
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Controllable Multi-Interest Framework for Recommendation
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Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation. In Proceedings of The Web Conference 2020 (WWW ’20) . 1127–1137
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DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents (WSDM ’21) . Association for Computing Machinery
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, and Manik Varma. 2021 · 2021
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