Content-aware point of interest recommendation on location-based social networks

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2015, Pages 1721-1727

  Gao, Huiji ^a   Tang, Jiliang ^a   Hu, Xia ^a   Liu, Huan ^a  

^a Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING;

CONTENT INFORMATION; LOCATION-BASED SOCIAL NETWORKS; POINT OF INTEREST; POINTS OF INTEREST; RECOMMENDATION PERFORMANCE; SOCIAL PATTERNS; URBAN EXPANSION; USER INTERESTS;

BEHAVIORAL RESEARCH;

EID: 84947075340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. Bensoussan, B. E., and Fleisher, C. S. 2012. Analysis Without Paralysis: 12 Tools to Make Better Strategic Decisions. FT Press.
2. Chang, J., and Sun, E. 2011. Location 3: How users share and respond to location-based data on social networking sites. Proceedings of the ICWSM.
3. Cheng, Z.; Caverlee, J.; Lee, K.; and Sui, D. 2011. Exploring millions of footprints in location sharing services. In Proceedings of the ICWSM.
4. Cheng, C; Yang, H.; King, I.; and Lyu, M. 2012. Fused matrix factorization with geographical and social influence in location-based social networks. AAAI, Canada.
5. Cheng, C; Yang, H.; Lyu, M. R.; and King, I. 2013. Where you like to go next: Successive point-of-interest recommendation. In Proceedings of the IJCAI, 2605-2611.
6. Cho, E.; Myers, S.; and Leskovec, J. 2011. Friendship and mobility: user movement in location-based social networks. In Proceedings of the SIGKDD, 1082-1090.
7. Dingqi Yang, Daqing Zhang, Z. Y, and Wang, Z. 2013. A sentiment-enhanced personalized location recommendation system. ACM Hypertext.
8. Gao, H., and Liu, H. 2014. Data analysis on location-based social networks. In Mobile Social Networking. Springer. 165-194.
9. Gao, H.; Tang, J.; Hu, X.; and Liu, H. 2013. Exploring temporal effects for location recommendation on location-based social networks. In Proceedings of the RecSys, 93-100.
10. Gao, H.; Tang, J.; and Liu, H. 2012. Exploring social-historical ties on location-based social networks. In Proceedings of the ICWSM.
11. Hu, B., and Ester, M. 2013. Spatial topic modeling in online social media for location recommendation. In Proceedings of the RecSys, 25-32.
12. Jorge Nocedal, S. W. 1999. Numerial Optimization. Springer.
13. Koren, Y 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In Proceeding of the SIGKDD, 426-434.
14. Lee, D.; Seung, H.; et al. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401(6755):788-791.
15. Li, Y; Hu, J.; Zhai, C; and Chen, Y. 2010. Improving one-class collaborative filtering by incorporating rich user information. In Proceedings of the CIKM, 959-968. ACM.
16. Liu, B., and Xiong, H. 2013. Point-of-interest recommendation in location based social networks with topic and location awareness. Proc. of SDM 396-404.
17. Liu, B.; Fu, Y; Yao, Z.; and Xiong, H. 2013. Learning geo-graphical preferences for point-of-interest recommendation. In Proceedings of the SIGKDD, 1043-1051. ACM.
18. Liu, J.; Ji, S.; and Ye, J. 2009. Multi-task feature learning via efficient 1 2, 1-norm minimization. In Proceedings of the VAI, 339-348. AUAI Press.
19. Long, X., and Joshi, J. 2013. A hits-based poi recommendation algorithm for location-based social networks. In Proceedings of the ASONAM, 642-647. ACM.
20. Ma, H.; Yang, H.; Lyu, M.; and King, I. 2008. Sorec: social recommendation using probabilistic matrix factorization. In Proceedings of the CIKM, 931-940. ACM.
21. Noulas, A.; Scellato, S.; Mascolo, C; and Pontil, M. 2011. An empirical study of geographic user activity patterns in foursquare. Proceeding of the ICWSM.
22. Paatero, P., and Tapper, U. 1994. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. Environmetrics (2).
23. Pan, R., and Scholz, M. 2009. Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. In Proceedings of the SIGKDD, 667-676. ACM.
24. Pan, R.; Zhou, Y; Cao, B.; Liu, N. N.; Lukose, R.; Scholz, M.; and Yang, Q. 2008. One-class collaborative filtering. In Proceeding of the ICDM, 502-511. IEEE.
25. Salakhutdinov, R., and Mnih, A. 2007. Probabilistic matrix factorization. In NIPS, volume 1,2-1.
26. Scellato, S.; Noulas, A.; Lambiotte, R.; and Mascólo, C. 2011. Socio-spatial properties of online location-based social networks. Proceeding of the ICWSM 11.
27. Sridharan, S. 2001. Usability and Reliability of the User Action Framework: A Theoretical Foundation for Usability Engineering Activities. Ph.D. Dissertation, Citeseer.
28. Tang, J.; Hu, X.; Gao, H.; and Liu, H. 2013. Exploiting local and global social context for recommendation. In Proceedings of the IJCAI, 2712-2718. AAAI Press.
29. Ye, M.; Yin, P.; Lee, W.; and Lee, D. 2011. Exploiting geographical influence for collaborative point-of-interest recommendation. In Proceeding of the SIGIR, 325-334.
30. Ye, M.; Liu, X.; and Lee, W. 2012. Exploring social influence for recommendation-A probabilistic generative approach. In Proceeding of the SIGIR, 325-334.
31. Ye, M.; Yin, P.; and Lee, W. 2010. Location recommendation for location-based social networks. In Proceedings of the SIGSPATIAL, 458-461.
32. Yin, H.; Sun, Y; Cui, B.; Hu, Z.; and Chen, L. 2013. Lcars: a location-content-aware recommender system. In Proceedings of the SIGKDD, 221-229. ACM.
33. Yuan, Q.; Cong, G.; Ma, Z.; Sun, A.; and Thalmann, N. M. 2013. Time-aware point-of-interest recommendation. In Proceedings of the SIGIR, 363-372. ACM.
34. Zhang, C; Shou, L.; Chen, K.; Chen, G.; and Bei, Y. 2012. Evaluating geo-social influence in location-based social net-works. In Proceedings of the CIKM, 1442-1451. ACM.
35. Zheng, Y, and Xie, X. 2011. Learning travel recommendations from user-generated gps traces. TIST2(1):2.
36. Zheng, Y; Zhang, L.; Xie, X.; and Ma, W. 2009. Mining interesting locations and travel sequences from gps trajectories. In WWW, 791-800. ACM.
37. Zhou, D.; Wang, B.; Rahimi, S.; and Wang, X. 2012. A study of recommending locations on location-based social network by collaborative filtering. Proceeding of the AAI.