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Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems.

, , , , and . CIKM, page 3332-3341. ACM, (2022)

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Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems., , , , , , , and . KDD, page 4510-4520. ACM, (2022)Maximizing the data utility of a data archiving & querying system through joint coding and scheduling., , , and . IPSN, page 244-253. ACM, (2007)Load Balancing in Hypercubic Distributed Hash Tables with Heterogeneous Processors., and . ESA, volume 3221 of Lecture Notes in Computer Science, page 496-507. Springer, (2004)Bounds on the throughput gain of network coding in unicast and multicast wireless networks., , and . IEEE J. Sel. Areas Commun., 27 (5): 582-592 (2009)Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems., , , , and . CIKM, page 3332-3341. ACM, (2022)Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations., , , and . RecSys, page 269-278. ACM, (2020)The YouTube video recommendation system., , , , , , , , , and 1 other author(s). RecSys, page 293-296. ACM, (2010)J-DES: A graphical interactive package for analysis and synthesis of discrete event systems., , , and . ACC, page 3405-3410. IEEE, (2003)On optimal communication cost for gathering correlated data through wireless sensor networks., , , and . MobiCom, page 310-321. ACM, (2006)Bounds on the Gain of Network Coding and Broadcasting in Wireless Networks., , and . INFOCOM, page 724-732. IEEE, (2007)