Incorporating usage information into average-clicks algorithm

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

Volumn 4811 LNAI, Issue , 2007, Pages 21-35

  Beemanapalli, Kalyan ^a   Rangarajan, Ramya ^a   Srivastava, Jaideep ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Link analysis; Recommendation engines; Web mining; Web usage analysis

Indexed keywords

ALGORITHMS; DATA MINING; WEBSITES;

LINK ANALYSIS; OUT-GOING LINKS; RECOMMENDATION ENGINES; USAGE AWARE AVERAGE-CLICKS; WEB MINING; WEB USAGE ANALYSIS;

INFORMATION USE;

EID: 38549167872     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77485-3_2     Document Type: Conference Paper

References (18)

1. Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A., Wiener, J.: Graph Structure in the web. In: Proc. 9th WWW conf. (2000)
2. Borodin, A., Gareth, O., Roberts, J.S., Rosenthal, P.T.: Finding authorities and hubs from link structures on the world wide web. In: World Wide Web, pp. 415-429 (2001)
3. Bose, A., Beemanapalli, K., Srivastava, J., Sahar, S.: Incorporating Concept hierarchies into Usage Mining Based Recommendations. In: Nasraoui, O., Spiliopoulou, M., Srivastava, J., Mobasher, B., Masand, B. (eds.) WebKDD 2006. LNCS (LNAI), vol. 4811, pp. 110-126. Springer, Heidelberg (2007)
4. Oztekin, B.U., Ertoz, L., Kumar, V., Srivastava, J.: Usage Aware PageRank (2003), http://www2003.org
5. Cooley, R., Srivastava, J., Mobasher, B.: Web Mining - Information and Pattern Discovery on the World wide Web. In: 9th IEEE International Conference on Tools with Artificial Intelligence (November 1997)
6. Ward Eric.: How Search Engines Use Link Analysis - A special report from the Search Engine Strategies 2001 Conference, November 14-15, Dallas, TX. (December 2001)
7. Google: http://www.google.com/
8. Kleinberg, J.M., Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.S.: The web as a Graph: measurements, models, and methods. In: Proc. of the International Conference on Combinatorics and Computing (1999)
9. Miller, J.C., Rae, G., Schaefer, F., Ward, L.A., LoFaro, T., Farahat, A.: Modifications of Kleinberg's HITS algorithm using Matrix Exponentiation and Web log Records. In: SIGIR 2001. Proceeding of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 444-445. ACM Press, New York, NY,USA (2001)
10. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM) 46(5), 604-632
11. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing order to the Web. In: Stanford Digital Library Technologies Project (1998)
12. Lee, J.H., Kim, M.H., Lee, Y.J.: Information retrieval based on conceptual distance in ISA hierarchies. Journal of Documentation 49(2), 188-207 (1993)
13. Richardson, M., Domingos, P.: The intelligent surfer: Probabilistic combination of link and content information in pagerank. In: Advances in Neural Information Processing Systems, vol. 14, MIT Press, Cambridge, MA (2002)
14. Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems 30(1-7), 107-117 (1998)
15. Srivastava, J., Cooley, R., Deshpande, M.: Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations 1(2), 12-23 (2000)
16. Haveliwala, T.: Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search. IEEE Transactions on Knowledge and Data Engineering (2003)
17. University of Minnesota, Computer Science Department website, http://www.cs.umn.edu
18. Matsuo, Y., Ohsawa, Y., Ishizuka, M.: Average-Clicks. A New Measure on the World Wide Web-Journal of Intelligent Systems (2003)