Computer Science ›› 2020, Vol. 47 ›› Issue (9): 81-87.doi: 10.11896/jsjkx.191100120
• Database & Big Data & Data Science • Previous Articles Next Articles
MA Li-bo, QIN Xiao-lin
CLC Number:
[1] SASSI I B,MELLOULI S,YAHIA S B.Context-aware recommender systems in mobile environment:On the road of future research[J].Information Systems,2017,72:27-61. [2] WANG H,FU Y,WANG Q,et al.A location-sentiment-aware recommender system for both home-town and out-of-town users[C]//Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.2017:1135-1143. [3] TOBLER W R.A Computer Movie Simulating Urban Growth in the Detroit Region[J].Economic Geography,1970,46(Supp 1):234-240. [4] STEPAN T,MORAWSKI J M,DICK S,et al.Incorporatingspatial,temporal,and social context in recommendations for location-based social networks[J].IEEE Trans.Comput Soc.Syst.,2016,3(4):164-175. [5] WU H,SHAO J,YIN H,et al.Geographical Constraint andTemporal Similarity Modeling for Point-of-Interest Recommendation[C]//International Conference on Web Information Systems Engineering.2015:426-441. [6] LIAN D,ZHAO C,XIE X,et al.Geomf:joint geographical modeling and matrix factorization for point-of-interest recommendation[C]//Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.2014:831-840. [7] XING S,LIU F,WANG Q,et al.Content-aware point-of-interest recommendation based on convolutional neural network[J].Appl.Intell.,2019,49:858. [8] REN X Y,SONG M N,SONG J D.Context-aware Point-of-interest Recommendation in Location-Based Social Networks[J].Chinese Journal of Computers,2017,40(4):824-841. [9] ZHU Z Q,CAO J X,WENG C H.Location-time-sociality aware personalized tourist attraction recommendation in LBSN[C]//IEEE 22nd International Conference on Computer Supported Cooperative Work in Design.2018:636-641. [10] WANG H,TERROVITIS M,MAMOULIS N.Location recommendationin location-based social networks using user check-in data[C]//Proceedings of the 21st ACM SIGS PATIAL International Conference on Advances in Geographic Information Systems.2013:374-383. [11] YUAN Q,CONG G,MA Z,et al.Time aware point-of-interest recommendation[C]//Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval.2013:363-372. [12] SI Y L,ZHANG F Z,LIU W Y.An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features[J].Knowledge-Based Systems,2019,163:267-282. [13] BAO J,ZHENG Y,MOKBEL M F.Location-based and prefe-rence-aware recommendation using sparse geo-social networking data[C]//Proceedings of the 20th International Conference on Advances in Geographic Information Systems.2012:199-208. [14] XIAN X F,CHEN X J,ZHAO P P,et al.Next point of interest recommendation based on context awareness and personalized metrics[J].Computer Engineering and Science,2018,40(4):616-625. [15] YE M,YIN P,LEE W C,et al.Exploiting geographical influence for collaborative point-of-interest recommendation[C]//Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval.2011:325-334. [16] CHENG C,YANG H,KING I,et al.Fused matrix factorization with geographical and social influence in location-based social networks[C]//Twenty-Sixth AAAI Conference on Artificial Intelligence.2012:17-23. [17] LIU B,FU Y,YAO Z,et al.Learning geographical preferences for point-of-interest recommendation[C]//19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.2013:1043-1051. [18] ZHANG J D,CHOW C Y.GeoSoCa:exploiting geographical,social and categorical correlations for point-of-interest recommendations[C]//38th International ACM SIGIR Conference on Research and Development in Information Retrieval.2015:443-452. [19] YANG D Q,ZHANG D Q,ZHENG V W,et al.Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2015,45(1):129-142. [20] HU L K,SUN A X,LIU Y.Your neighbors affect your ratings:on geographical neighborhood influence to rating prediction[C]//Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval.2014:345-354. |
[1] | LUO Jia-lei and MENG Li-min. Signal Timing Scheme Recommendation Algorithm Based on Intersection Similarity [J]. Computer Science, 2020, 47(6A): 66-69. |
[2] | ZHU Lei, HU Qin-han, ZHAO Lei, YANG Ji-wen. Collaborative Filtering Algorithm Based on Rating Preference and Item Attributes [J]. Computer Science, 2020, 47(4): 67-73. |
[3] | ZHAO Nan, PI Wen-chao, XU Chang-qiao. Video Recommendation Algorithm for Multidimensional Feature Analysis and Filtering [J]. Computer Science, 2020, 47(4): 103-107. |
[4] | FENG Chen-jiao,LIANG Ji-ye,SONG Peng,WANG Zhi-qiang. New Similarity Measure Based on Extremely Rating Behavior [J]. Computer Science, 2020, 47(2): 31-36. |
[5] | WU Lei,YUE Feng,WANG Han-ru,WANG Gang. Academic Paper Recommendation Method Combined with Researcher Tag [J]. Computer Science, 2020, 47(2): 51-57. |
[6] | HUANG Chao-ran, GAN Yong-shi. Balance Between Preference and Universality Based on Explicit Feedback Collaborative Filtering [J]. Computer Science, 2020, 47(11A): 471-473. |
[7] | ZHOU Bo. Bipartite Network Recommendation Algorithm Based on Semantic Model [J]. Computer Science, 2020, 47(11A): 482-485. |
[8] | KANG Yan, BU Rong-jing, LI Hao, YANG Bing, ZHANG Ya-chuan, CHEN Tie. Neural Collaborative Filtering Based on Enhanced-attention Mechanism [J]. Computer Science, 2020, 47(10): 114-120. |
[9] | WANG Han, XIA Hong-bin. Collaborative Filtering Recommendation Algorithm Mixing LDA Model and List-wise Model [J]. Computer Science, 2019, 46(9): 216-222. |
[10] | DENG Cun-bin, YU Hui-qun, FAN Gui-sheng. Integrating Dynamic Collaborative Filtering and Deep Learning for Recommendation [J]. Computer Science, 2019, 46(8): 28-34. |
[11] | ZHANG Yan-hong, ZHANG Chun-guang, ZHOU Xiang-zhen, WANG Yi-ou. Diverse Video Recommender Algorithm Based on Multi-property Fuzzy Aggregate of Items [J]. Computer Science, 2019, 46(8): 78-83. |
[12] | KANG Lin-yao, TANG Bing, XIA Yan-min, ZHANG Li. GPU-accelerated Non-negative Matrix Factorization-based Parallel Collaborative Filtering Recommendation Algorithm [J]. Computer Science, 2019, 46(8): 106-110. |
[13] | JU Ya-ya, YANG Lu, YAN Jian-feng. LDA Algorithm Based on Dynamic Weight [J]. Computer Science, 2019, 46(8): 260-265. |
[14] | ZHANG Lei,CAI Ming. Image Annotation Based on Topic Fusion and Frequent Patterns Mining [J]. Computer Science, 2019, 46(7): 246-251. |
[15] | WANG Xu, PANG Wei, WANG Zhe. MetaStruct-CF:A Meta Structure Based Collaborative Filtering Algorithm in Heterogeneous Information Networks [J]. Computer Science, 2019, 46(6A): 397-401. |
|