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·184· 智能系统学报 第16卷 Xi'an,China,2016:617-628 transactions on knowledge and data engineering,2018, [4]SARWAR B,KARYPIS G.KONSTAN J,et al.Item- 30(12:2228-2241 based collaborative filtering recommendation algori- [16]CHEN Shulong,PENG Yuxing.Matrix factorization for thms[C]//Proceedings of the 10th International Conference recommendation with explicit and implicit feedback[J]. on World Wide Web.Hong Kong,China,2001:285-295. Knowledge-based systems,2018,158:109-117 [5]HERLOCKER JL,KONSTAN J A,BORCHERS A,et al. 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Hon￾olulu, USA, 2018: 2087–2095. [13] SMITH V, CHIANG C K, SANJABI M, et al. Federated multi-task learning[C]//Proceedings of the 31st Interna￾tional Conference on Neural Information Processing Sys￾tems. Red Hook, USA, 2017: 4427–4437. [14] HSU C C, YEH M Y, LIN Shude. A general framework for implicit and explicit social recommendation[J]. IEEE [15] transactions on knowledge and data engineering, 2018, 30(12): 2228–2241. CHEN Shulong, PENG Yuxing. Matrix factorization for recommendation with explicit and implicit feedback[J]. Knowledge-based systems, 2018, 158: 109–117. [16] JAWAHEER G, SZOMSZOR M, KOSTKOVA P. Com￾parison of implicit and explicit feedback from an online music recommendation service[C]//Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems. New York, USA, 2010: 47–51. [17] PAZZANI M J, BILLSUS D. Content-based recommend￾ation systems[M]. BRUSILOVSKY P, KOBSA A, NE￾JDL W. The Adaptive Web: Methods and Strategies of Web Personalization. Berlin, Heidelberg, Germany: Springer, 2007: 325–341. [18] BURKE R. Knowledge-based recommender systems[J]. Encyclopedia of library and information systems, 2000, 69(S32): 175–186. [19] WANG Jizhe, HUANG Pipei, ZHAO Huan, et al. Billion￾scale commodity embedding for E-commerce recom￾mendation in Alibaba[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Dis￾covery & Data Mining. London, United Kingdom, 2018: 839–848. [20] HWANGBO H, KIM Y S, CHA K J. Recommendation system development for fashion retail E-commerce[J]. Electronic commerce research and applications, 2018, 28: 94–101. [21] HERLOCKER J L, KONSTAN J A, RIEDL J. Explain￾ing collaborative filtering recommendations[C]//Proceed￾ings of the 2000 ACM Conference on Computer Suppor￾ted Cooperative Work. Pennsylvania, Philadelphia, USA, 2000: 241–250. [22] SUBRAMANIYASWAMY V, LOGESH R, CHANDRASHEKHAR M, et al. A personalised movie recommendation system based on collaborative filtering[J]. International journal of high performance computing and networking, 2017, 10(1/2): 54–63. [23] ZHENG E, KONDO G Y, ZILORA S, et al. Tag-aware dynamic music recommendation[J]. Expert systems with applications, 2018, 106: 244–251. [24] ZHENG Guanjie, ZHANG Fuzheng, ZHENG Zihan, et al. DRN: a deep reinforcement learning framework for news recommendation[C]//Proceedings of the 2018 World Wide Web Conference. Lyon, France, 2018: 167–176. [25] COLOMO-PALACIOS R, GARCÍA-PEÑALVO F J, STANTCHEV V, et al. Towards a social and context￾aware mobile recommendation system for tourism[J]. Per￾vasive and mobile computing, 2017, 38: 505–515. [26] [27] GENTRY C. A fully homomorphic encryption ·184· 智 能 系 统 学 报 第 16 卷
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