Measuring attention intensity to web pages based on specificity of social tags

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6193 LNCS, Issue , 2010, Pages 264-273

  Yumoto, Takayuki ^a   Sumiya, Kazutoshi ^a  

^a UNIVERSITY OF HYOGO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

WEB PAGE;

DATABASE SYSTEMS; TECHNICAL PRESENTATIONS;

WORLD WIDE WEB;

EID: 77956137463     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14589-6_27     Document Type: Conference Paper

References (8)

1. Krestel, R., Chen, L.: Using co-occurence of tags and resources to identify spammers. In: ECML/PKDD Discovery Challenge (RSDC 2008), Workshop at ECML/PKDD 2008 (2008)
2. Niwa, S., Doi, T., Honiden, S.: Web page recommender system based on folksonomy mining. In: ITNG 2006: Third International Conference on Information Technology New Generations, pp. 388-393 (2006)
3. Sugiyama, N., Seki, Y., Aono, M.: A method for finding related pages by users' tagging behavior from social bookmarks (in Japanese). Journal of the DBSJ 7(1), 239-244 (2008)
4. Liang, H., Xu, Y., Li, Y., Nayak, R.: Collaborative filtering recommender systems based on popular tags. In: ADCS 2009: Proceedings of the Fourteenth Australasian Document Computing Symposium (2009)
5. Chi, E.H., Mytkowicz, T.: Understanding the efficiency of social tagging systems using information theory. In: HT 2008: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, pp. 81-88. ACM, New York (2008)
6. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604-632 (1999)
7. Noll, M.G., Au Yeung, C.M., Gibbins, N., Meinel, C., Shadbolt, N.: Telling experts from spammers: expertise ranking in folksonomies. In: SIGIR 2009: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pp. 612-619. ACM, New York (2009)
8. Järvelin, K., Kekäläinen, J.: Ir evaluation methods for retrieving highly relevant documents. In: SIGIR 2000: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 41-48. ACM, New York (2000)