Event recommendation in social networks with linked data enablement

ICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems

Volumn 2, Issue , 2013, Pages 371-379

  Zhang, Yinuo ^a   Wu, Hao ^a   Sorathia, Vikram ^a   Prasanna, Viktor K ^a  

^a University of Southern California   (United States)

Author keywords

Linked data; Recommendation; Social networks

Indexed keywords

CONTEXTUAL INFORMATION; LATENT DIRICHLET ALLOCATIONS; LINKED DATUM; RECOMMENDATION; RECOMMENDATION ACCURACY; RECOMMENDATION METHODS; SOCIAL NETWORKING SERVICES; STRUCTURED KNOWLEDGE;

DATA HANDLING; INFORMATION SYSTEMS; STATISTICS;

SOCIAL NETWORKING (ONLINE);

EID: 84887649972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Au Yeung, C. and Iwata, T. (2011). Strength of social influence in trust networks in product review sites. In Proceedings of the fourth ACM international conference on Web search and data mining, pages 495-504. ACM.
2. Blei, D., Ng, A., and Jordan, M. (2003). Latent dirichlet allocation. The Journal of Machine Learning Research, 3:993-1022.
3. Chen, H. and Chen, A. (2001). A music recommendation system based on music data grouping and user interests. In Proceedings of the tenth international conference on Information and knowledge management, pages 231-238. ACM.
4. Coppens, S., Mannens, E., De Pessemier, T., Geebelen, K., Dacquin, H., Van Deursen, D., and Van de Walle, R. (2012). Unifying and targeting cultural activities via events modelling and profiling. Multimedia Tools and Applications, pages 1-38.
5. Cornelis, C., Guo, X., Lu, J., and Zhang, G. (2005). A fuzzy relational approach to event recommendation. In Proceedings of the Indian International Conference on Artificial Intelligence.
6. Daly, E. M. and Geyer, W. (2011). Effective event discovery: using location and social information for scoping event recommendations. In Proceedings of the fifth ACM conference on Recommender systems, RecSys '11, pages 277-280, New York, NY, USA. ACM.
7. De Pessemier, T., Coppens, S., Geebelen, K., Vleugels, C., Bannier, S., Mannens, E., Vanhecke, K., and Martens, L. (2011). Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform. Multimedia Tools and Applications, pages 1-47.
8. Guan, Z., Bu, J., Mei, Q., Chen, C., and Wang, C. (2009). Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 540-547. ACM.
9. Kayaalp, M., Özyer, T., and Özyer, S. T. (2009). A collaborative and content based event recommendation system integrated with data collection scrapers and services at a social networking site. In ASONAM, pages 113-118.
10. Klamma, R., Pham, M. C., and Cao, Y. (2009). You never walk alone: Recommending academic events based on social network analysis. In Complex (1), pages 657-670.
11. Konstas, I., Stathopoulos, V., and Jose, J.M. (2009). On social networks and collaborative recommendation. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '09, pages 195-202, New York, NY, USA. ACM.
12. Li, H., Tian, Y., Lee, W.-C., Giles, C. L., and Chen, M.- C. (2010). Personalized feed recommendation service for social networks. In SocialCom/PASSAT, pages 96- 103.
13. Linden, G., Smith, B., and York, J. (2003). Amazon. com recommendations: Item-to-item collaborative filtering. Internet Computing, IEEE, 7(1):76-80.
14. Manning, C. D., Raghavan, P., and Schtze, H. (2008). Introduction to Information Retrieval. Cambridge University Press, New York, NY, USA.
15. Minkov, E., Charrow, B., Ledlie, J., Teller, S. J., and Jaakkola, T. (2010). Collaborative future event recommendation. In CIKM, pages 819-828.
16. Perny, P. and Zucker, J. (1999). Collaborative filtering methods based on fuzzy preference relations. Proceedings of EUROFUSE-SIC, 99:279-285.
17. Sigurbjörnsson, B. and Van Zwol, R. (2008). Flickr tag recommendation based on collective knowledge. In Proceedings of the 17th international conference on World Wide Web, pages 327-336. ACM.
18. Yang, S., Long, B., Smola, A., Sadagopan, N., Zheng, Z., and Zha, H. (2011). Like like alike: joint friendship and interest propagation in social networks. In Proceedings of the 20th international conference on World wide web, pages 537-546. ACM.