Combining article content and Web usage for literature recommendation in digital libraries

Online Information Review

Volumn 28, Issue 4, 2004, Pages 260-272

  Hwang, San Yih ^a   Chuang, Shi Min ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Digital libraries; Literature

Indexed keywords

DIGITAL LIBRARIES; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; WEB BROWSERS;

DATA COLLECTION; ELECTRONIC THESIS AND DISSERTATION (ETD); LITERATURE; RECOMMENDATION SYSTEMS; WEB USAGE DATA;

WORLD WIDE WEB;

EID: 9444234495     PISSN: 14684527     EISSN: None     Source Type: Journal    
DOI: 10.1108/14684520410553750     Document Type: Article

References (32)

1. Ansari, A., Essegaier, S. and Kohli, R. (2000), "Internet recommendation systems", Journal of Marketing Research, Vol. 37 No. 3, pp. 67-85.
2. Balabanovic, M. and Shoham, Y. (1997), "Fab: content-based, collaborative recommendation". Communications of the ACM, Vol. 40 No. 3, pp. 66-72.
3. Breese, J., Heckerman, D. and Kadie, C. (1998), "Empirical analysis of predictive algorithms for collaborative filtering", Technical Report MSR-TR-98-12, Microsoft Research, available at: http://research.microsoft.com/users/breese/algsweb.PS
4. Cooley, R., Mobasher, B. and Srivastava, J. (1999), "Data preparation for mining World Wide Web browsing patterns". Journal of Knowledge and Information Systems, Vol. 1 No. 1, pp. 5-32.
5. Deshpande, M. and Karypis, G. (2001), "Selective Markov models for predicting Web-page accesses", Proceedings of the 1st International SIAM Conference on Data Mining, available at: www.siam.org/meetings/sdm01/pdf/sdm01_04.pdf
6. Fischer, G. and Stevens, C. (1991), "Information access in complex, poorly structured information spaces", Proceedings of the ACM International Conference on Human Computer Interaction, pp. 63-70.
7. Fox, C. (1992), "Lexical analysis and stoplists", in Frakes, W.B. and Baeza-Yates, R. (Eds), Information Retrieval: Data Structures & Algorithms, Prentice-Hall, Englewood Cliffs, NJ.
8. Garey, M.R. and Johnson, D.S. (1979), Computers and Intractability; A Guide to the Theory of NP-Completeness, W.H. Freeman & Company, San Francisco, CA.
9. Huang, Z., Chung, W. and Chen, H. (2004), "A graph model for e-commerce recommender systems", Journal of the American Society for Information Science and Technology, Vol. 55 No. 3, pp. 259-74.
10. Hwang, S-Y., Hsiung, W-C. and Yang, W-S. (2003), "A prototype WWW literature recommendation system for digital libraries". Online Information Review, Vol. 27 No. 3, pp. 169-82.
11. Karypis, G., Aggarwal, R., Kumar, V. and Shekhar, S. (1997), "Multilevel hypergraph partitioning: applications in VLSI domain", Proceedings of the 34th International Conference on Design Automation, pp. 526-9, available at: www.sigda.org/Archives/ProceedingArchives/Dac/Dac97/papers/1997/dac97/psfiles/ 32_4.ps
12. Korfhage, R.R. (1997), Information Storage and Retrieval, John Wiley & Sons, New York, NY.
13. Krulwich, B. and Burkey, C. (1997), "The infofinder agent: learning user-interests through heuristic phrase extraction", IEEE Expert, Vol. 12 No. 5, pp. 22-7.
14. Kuflik, T., Shapira, B. and Shoval, P. (2003), "Stereotype-based versus personal-based filtering rules in information filtering systems", Journal of the American Society for Information Science and Technology, Vol. 54 No. 3, pp. 243-50.
15. Lang, K. (1995), "Newsweeder: learning to filter Netnews", Proceedings of the 12th International Conference on Machine Learning, pp. 331-9.
16. Liu, B., Hsu, W. and Ma, Y. (1999), "Mining association rules with multiple minimum supports". Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 337-41.
17. Malone, T.W., Grant K.R., Turbak, F.A., Brobst, S.A. and Cohen, M.D. (1987), "Intelligent information-sharing systems", Communications of ACM, Vol. 30 No. 5, pp. 390-402.
18. Mobasher, B., Cooley, R. and Srivastava, J. (1999), "Creating adaptive Web sites through usage-based clustering of URLs", Proceedings of the IEEE Knowledge and Data Engineering Exchange Workshop, pp. 19-25.
19. Mobasher, B., Dai, H., Luo, T., Sung, Y. and Zhu, J. (2000), "Integrating Web usage and content mining for more effective personalization". Proceedings of the International Conference on E-Commerce and Web Technologies, pp. 165-76.
20. Mooney, R. and Roy, L. (2000), "Content-based book recommending using learning for text categorization", Proceedings of the ACM Conference on Digital Libraries, pp. 195-204.
21. Myaeng, S.H. and Korfhage, R.R. (1990), "Integration of user profiles: models and experiments in information retrieval", Information Processing and Management, Vol. 26 No. 6, pp. 719-38.
22. NSYSU-ETD (n.d.), "ETD system at National Sun Yat-Sen University", available at: www.lib.nsysu.edu.tw/ethesys/english/default_e.htm
23. Pazzani, M. (1999), "A framework for collaborative, content-based and demographic filtering", Artificial Intelligence Review, Vol. 13 No. 5/6, pp. 393-408.
24. Pazzani, M., Muramatsu, J. and Billsus, D. (1996), "Syskill & Webert: identifying interesting Web sites", Proceedings of the National Conference on Artificial Intelligence, Vol. 13 No. 5/6, pp. 54-61.
25. Pennock, D., Horvitz, E., Lawrence, S. and Giles, C. (2000), "Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach", Proceedings of the Conference on Uncertainty in Artificial Intelligence, pp. 473-80.
26. Pitkow, J. and Pirolli, P. (1999), "Mining longest repeating subsequences to predict World Wide Web surfing", Proceedings of the USENIX Symposium on Internet Technologies and Systems, pp. 139-50.
27. Rucker, J. and Polanco, M.J. (1992), "Siteseer: personalized navigation for the Web, Communications of the ACM, Vol. 35 No. 12, pp. 73-5.
28. Sarwar, B.M., Karypis, G., Konstan, J. and Riedl, J. (2000), "Analysis of recommender algorithms for e-commerce", Proceedings of the 2nd ACM E-Commerce Conference, pp. 158-67.
29. Shepherd, M., Duffy, J.F., Watters, C. and Gugle, N. (2001), "The role of user profiles for news filtering", Journal of the American Society for Information Science and Technology, Vol. 52 No. 2, pp. 149-60.
30. Srivastava, J., Cooley, R., Deshpande, M. and Tang, P. (2000), "Web usage mining: discovery and applications of usage patterns from Web data", SIGKDD Explorations, Vol. 1 No. 2, pp. 12-23.
31. Yan, T.W., Jacobsen, M., Garcia-Molina, H. and Dayal, U. (1996), "From user access patterns to dynamic hypertext linking", Computer Networks, Vol. 28 No. 7-11, pp. 1007-14.
32. Yang, Q., Zhang, H.H. and Li, T. (2001), "Mining Web usage logs for prediction models in WWW caching and prefetching", Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 473-8.