A collaborative and content based event recommendation system integrated with data collection scrapers and services at a social networking site

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009

Volumn , Issue , 2009, Pages 113-118

  Kayaalp, Mehmet ^a   Ozyer, Tansel ^a   Ozyer, Sibel Tariyan ^b  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

^b CANKAYA UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS; WEB SERVICES;

CONTENT-BASED; DATA COLLECTION; GEOGRAPHICAL LOCATIONS; NETWORKING ENVIRONMENT; SOCIAL CONCEPTS; SOCIAL ENVIRONMENT; SOCIAL NETWORKING SITES; WEB SCRAPINGS;

SOCIAL NETWORKING (ONLINE);

EID: 70349804706     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2009.41     Document Type: Conference Paper

References (14)

1. Churchill, E.F.; Halverson, CA.; Guest Editors' Introduction: Social Networks and Social Networking, (Internet Computing, IEEE Volume9, Issue 5, Sept.-Oct. 2005Page(s):14-19)
2. Christos Faloutsos, Douglas W. Oard, August 1995, "A Survey of Information Retrieval and Filtering Methods" UM Computer Science Department; CS-TR-3514 URI: http://hdl.handle.net/1903/436
3. Kosala, R. and Blockeel, H. 2000. Web mining research: a survey. SIGKDD Explor. Newsl. 2, 1 (Jun. 2000), 1-15.
4. Schafer, J. B., Konstan, J., and Riedi, J. 1999. Recommender systems in e-commerce. In Proceedings of the 1st ACM Conference on Electronic Commerce (Denver, Colorado, United States, November 03 - 05, 1999). EC '99. ACM, New York, NY, 158-166.
5. Németh, Bottyán. "How do I Know What You Like? The Ways of Collaborative Filtering", 7th International Symposium of Hungarian Researchers on Computational Intelligence, Page: 575-582.
6. Balabanović, M. and Shoham, Y. 1997. Fab: content-based, collaborative recommendation. Commun. ACM40, 3 (Mar. 1997), 66-72.
7. S. Chee, J. Han, and K. Wang. Rectree: An efficient collaborative filtering method. In 3rd Int. Conf. On Data Ware-housing and Knowledge Discovery (DAWAK 2001), LNCS 2114, Munich, Germany, September 2001. Springer Verlag.
8. Web Services Glossary, W3C Working Group Note, 11.02.2004, http://www.w3.org/TR/ws-gloss/
9. Roy T. Fielding. Architectural Styles and the Design of Network-based Software, 2000.
10. 1. M. E. J. Newman, D. J. Watts, andS. H. Strogatz, Random graph models of social networks, PNAS, 2002.
11. Tim O'Reilly (2005-09-30). "What Is Web 2.0". O'Reilly Network. http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20. html. Retrieved on 2006-08-106 @ article {358934,
12. Kobayashi, Mei and Takeda, Koichi, Information retrieval on the web, ACM Comput. Surveys, 32, 2, pages 144-173, 2000.
13. Raghavan, Prabhakar, Information retrieval algorithms: a survey, SODA '97: Proceedings of the eighth annual ACMSIAM symposium on Discrete algorithms, pages 11-18, 1997.
14. Adomavicius, G.; Tuzhilin, A., Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, IEEE Transactions on Knowledge and Data Engineering 17 (6): 734-749, 2005. (Pubitemid 40860454)