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2017 Conference Publication Influenced nodes discovery in temporal contact networkHuang, Jinjing, Lin, Tianqiao, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2017). Influenced nodes discovery in temporal contact network. 18th International Conference on Web Information Systems Engineering, WISE 2017, Puschino, Russia, 7-11 October 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-68783-4_32 |
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2017 Conference Publication People opinion topic model: opinion based user clustering in social networksChen, Hongxu, Yin, Hongzhi, Li, Xue, Wang, Meng, Chen, Weitong and Chen, Tong (2017). People opinion topic model: opinion based user clustering in social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051159 |
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2017 Conference Publication SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior predictionYin, Hongzhi, Chen, Hongxu, Sun, Xiaoshuai, Wang, Hao, Wang, Yang and Nguyen, Quoc Viet Hung (2017). SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior prediction. 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. New York, USA: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICDM.2017.68 |
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2017 Conference Publication A location-sentiment-aware recommender system for both home-town and out-of-town usersWang, Hao , Fu, Yanmei , Wang, Qinyong , Yin, Hongzhi , Du, Changying and Xiong, Hui (2017). A location-sentiment-aware recommender system for both home-town and out-of-town users. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, NS, Canada, 13-17 August 2017. New York, NY, United States: ACM. doi: 10.1145/3097983.3098122 |
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2017 Conference Publication Graph-based metric embedding for next POI recommendationXie, Min, Yin, Hongzhi, Xu, Fanjiang, Wang, Hao and Zhou, Xiaofang (2017). Graph-based metric embedding for next POI recommendation. 17th International Conference on Web Information Systems Engineering (WISE), Shanghai, China, 8 - 10 November 2016. Heidelberg, Germany: Springer . doi: 10.1007/978-3-319-48743-4_17 |
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2017 Conference Publication Retaining data from streams of social platforms with minimal regretTam, Nguyen Thanh, Weidlich, Matthias, Thang, Duong Chi, Yin, Hongzhi and Hung, Nguyen Quoc Viet (2017). Retaining data from streams of social platforms with minimal regret. International Joint Conference on Artificial Intelligence, IJCAI, Melbourne, Australia, 19-25 August 2017. Melbourne, Australia: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2017/397 |
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2017 Conference Publication Group recommender model based on preference interactionZheng, Wei, Li, Bohan, Wang, Yanan, Yin, Hongzhi, Li, Xue, Guan, Donghai and Qin, Xiaolin (2017). Group recommender model based on preference interaction. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_10 |
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2017 Conference Publication Time-constrained graph pattern matching in a large temporal graphXu, Yanxia, Huang, Jinjing, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2017). Time-constrained graph pattern matching in a large temporal graph. Joint Conference, APWeb-WAIM, Beijing, China, 7-9 July 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63579-8 9 |
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2017 Conference Publication Jointly modeling heterogeneous temporal properties in location recommendationHosseini, Saeid, Yin, Hongzhi, Zhang, Meihui, Zhou, Xiaofang and Sadiq, Shazia (2017). Jointly modeling heterogeneous temporal properties in location recommendation. 22nd Internation Conference, DASFAA 2017, Suzhou, China, 27 - 30 March 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-55753-3_31 |
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2017 Conference Publication Exploiting spatio-temporal user behaviors for user linkageChen, Wei, Yin, Hongzhi, Wang, Weiqing, Zhao, Lei, Hua, Wen and Zhou, Xiaofang (2017). Exploiting spatio-temporal user behaviors for user linkage. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3132898 |
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2016 Journal Article A spatial-temporal topic model for the semantic annotation of POIs in LBSNsHe, Tieke, Yin, Hongzhi, Chen, Zhenyu, Zhou, Xiaofang, Sadiq, Shazia and Luo, Bin (2016). A spatial-temporal topic model for the semantic annotation of POIs in LBSNs. ACM Transactions on Intelligent Systems and Technology, 8 (1) 12, 1-24. doi: 10.1145/2905373 |
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2016 Journal Article Adapting to user interest drift for POI recommendationYin, Hongzhi, Zhou, Xiaofang, Cui, Bin, Wang, Hao, Zheng, Kai and Nguyen, Quoc Viet Hung (2016). Adapting to user interest drift for POI recommendation. IEEE Transactions on Knowledge and Data Engineering, 28 (10) 7491346, 2566-2581. doi: 10.1109/TKDE.2016.2580511 |
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2016 Journal Article Joint modeling of user check-in behaviors for real-time point-of-interest recommendationYin, Hongzhi, Cui, Bin, Zhou, Xiaofang, Wang, Weiqing, Huang, Zi and Sadiq, Shazia (2016). Joint modeling of user check-in behaviors for real-time point-of-interest recommendation. ACM Transactions on Information Systems, 35 (2) 2873055, 1-44. doi: 10.1145/2873055 |
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2016 Journal Article A fast sketch-based approach of top-k closeness centrality search on large networksShao, Y.-X., Cui, B., Ma, L. and Yin, H.-Z. (2016). A fast sketch-based approach of top-k closeness centrality search on large networks. Jisuanji Xuebao/Chinese Journal of Computers, 39 (10), 1965-1978. doi: 10.11897/SP.J.1016.2016.01965 |
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2016 Conference Publication Discovering interpretable geo-social communities for user behavior predictionYin, Hongzhi, Hu, Zhiting, Zhou, Xiaofang, Wang, Hao, Zheng, Kai, Quoc Viet Hung Nguyen and Sadiq, Shazia (2016). Discovering interpretable geo-social communities for user behavior prediction. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498303 |
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2016 Conference Publication Learning graph-based POI embedding for location-based recommendationXie, Min, Yin, Hongzhi, Wang, Hao, Xu, Fanjiang, Chen, Weitong and Wang, Sen (2016). Learning graph-based POI embedding for location-based recommendation. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983711 |
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2016 Conference Publication SPORE: a sequential personalized spatial item recommender systemWang, Weiqing, Yin, Hongzhi, Sadiq, Shazia, Chen, Ling, Xie, Min and Zhou, Xiaofang (2016). SPORE: a sequential personalized spatial item recommender system. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498304 |
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2016 Conference Publication Keyword-aware continuous kNN query on road networksZheng, Bolong, Zheng, Kai, Xiao, Xiaokui, Su, Han, Yin, Hongzhi, Zhou, Xiaofang and Li, Guohui (2016). Keyword-aware continuous kNN query on road networks. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498297 |
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2016 Conference Publication A unified framework for fine-grained opinion mining from online reviewsWang, Hao, Zhang, Chen, Yin, Hongzhi, Wang, Wei, Zhang, Jun and Xu, Fanjiang (2016). A unified framework for fine-grained opinion mining from online reviews. 49th Annual Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, 5-8 January 2016. Piscataway, NJ, United States: I E E E. doi: 10.1109/HICSS.2016.144 |
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2016 Conference Publication Using detected visual objects to index video databaseDu, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2016). Using detected visual objects to index video database. Australasian Database Conference on Databases Theory and Applications, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_26 |
