A prototype WWW literature recommendation system for digital libraries

Online Information Review

Volumn 27, Issue 3, 2003, Pages 169-182

  Hwang, San Yih ^a   Hsiung, Wen Chiang ^a   Yang, Wan Shiou ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Cluster analysis; Data mining; Digital libraries; Recommendations; Web sites

Indexed keywords

DATA MINING; ELECTRONIC MAIL; SEMANTICS; SOFTWARE PROTOTYPING; WEBSITES;

WEB USAGE LOGS;

DIGITAL LIBRARIES;

EID: 0038343013     PISSN: 14684527     EISSN: None     Source Type: Journal    
DOI: 10.1108/14684520310481436     Document Type: Article

References (39)

1. Agrawal, R., Imielinski, T. and Swami, A. (1993), "Mining association rules between sets of items in large databases", in Buneman, P. and Jajodia, S. (Eds), Proceedings of the ACM SIGMOD Conference on Management of Data, Washington, DC, May 26-28, ACM Press, New York, NY, pp. 207-16.
2. Agrawal, R. and Srikant, R. (1994), "Fast algorithms for mining association rules", in Bocca, J.B., Jarke, M. and Zaniolo, C. (Eds), Proceedings of the 20th International Conference on Very Large Data Bases, September 12-15, Santiago, Chile, Morgan Kaufmann, San Francisco, CA, pp. 487-99.
3. Alspector, J., Kolcz, A. and Karunanithi, N. (1998), "Comparing feature-based and clique-based user models for movie selection", Proceedings of the 3rd ACM International Conference on Digital Libraries, June 23-26, 1998, Pittsburgh, PA, ACM Press, New York, NY, pp. 11-18.
4. Andresen, D., Carver, L., Dolin, R., Fischer, C., Frew, J., Goodchild, M., Ibarra, O., Kothuri, R., Larsgaard, M., Nebert, D., Simpson, J., Smith, T., Yang, T. and Zheng, Q. (1995), "The WWW prototype of the Alexandria digital library", Proceedings of the International Symposium on Digital Libraries, Tsukuba, Japan, 22-5 August, pp. 17-27.
5. Ansari, A., Essegaier, S. and Kohli, R. (2000), "Internet recommendation systems", Journal of Marketing Research, Vol. 37 No. 3, pp. 67-85.
6. Arms, W. (2000), Digital Libraries, MIT Press, Cambridge, MA.
7. Armstrong, R., Freitag, D., Joachims, T. and Mitchell, T. (1997), "WebWatcher: a learning apprentice for the World Wide Web", AAAI Spring Symposium on Information Gathering from Heterogeneous Distributed Environments, pp. 6-12.
8. Balabanovi'c, M. and Shoham, Y. (1997), "Fab: content-based, collaborative recommendation", Communications of the ACM, Vol. 40 No. 3, pp. 66-72.
9. Baldonado, M., Chang, C., Gravano, L. and Paepcke, A. (1997), "Metadata for digital libraries: architecture and design rationale", Proceedings of the 2nd ACM International Conference on Digital Libraries, ACM Press, New York, NY, pp. 47-56.
10. Basu, C., Hirsh, H. and Cohen, W. (1998), "Recommendation as classification: using social and content-based information in recommendation", Proceedings of the 15th National Conference on Artificial Intelligence, 26-30 July, Madison, WI, AAAI Press, Menlo Park, CA, pp. 714-20.
11. Billsus, D. and Pazzani, M. (1999), "A hybrid user model for news story classification", in Kay, J. (Ed.), Proceedings of the 7th International Conference on User Modelling, Banff, Canada, 20-4 June, Springer-Verlag, New York, NY, pp. 99-108.
12. Bowman, C., Manber, P. and Schwartz, U. (1994), "Scalable Internet resources discovery: research problems and approaches", Communications of the ACM, Vol. 37 No. 8, pp. 98-107.
13. Breese, J., Heckerman, D. and Kadie, C. (1998), "Empirical analysis of predictive algorithms for collaborative filtering", Technical Report MSR-TR-98-12, Microsoft Research, Seattle, CA.
14. Chen, H., Schatz, B., Ng, T., Martinez, J., Kirchhoff, A. and Lin, C. (1996), "A parallel computing approach to creating engineering concept spaces for semantic retrieval: the Illinois digital library initiative project", IEEE Transactions on PAMI, Vol. 18 No. 8, pp. 17-34.
15. 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.
16. Furner, J. (2002), "On recommending", Journal of the American Society for Information Science and Technology, Vol. 53 No. 9, pp. 747-63.
17. Goldberg, D., Nichols, D., Oki, B. and Terry, D. (1992), "Using collaborative filtering to weave an information tapestry", Communications of the ACM, Vol. 35 No. 12, pp. 61-70.
18. Herlocker, J. and Konstan, J. (2001), "Content-independent task-focused recommendation", IEEE Internet Computing, Vol. 5 No. 6, pp. 40-7.
19. Karypis, G. (2002), "Multilevel hypergraph partitioning", Tech. Report TR#02-25, Department of Computer Science, University of Minnesota, MN.
20. Kessler, J. (1996), Internet Digital Libraries: The International Dimension, Artech House Publishers, Norwood, MA.
21. Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L. and Riedl, J. (1997), "GroupLens: applying collaborative filtering to Usenet news", Communications of the ACM, Vol. 40 No. 3, pp. 77-87.
22. Lang, K. (1995), "Newsweeder: learning to filter netnews", in Prieditis, A. and Russell, S. (Eds), Proceedings of the 12th International Conference on Machine Learning, Lake Tahoe, Morgan Kaufmann, San Francisco, CA, pp. 331-9.
23. Liu, B., Hsu, W. and Ma, Y. (1999), "Mining association rules with multiple minimum supports", Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 15-18 August, San Diego, ACM Press, New York, NY, pp. 430-4.
24. Loeb, S. and Terry, D. (1992), "Information filtering", Communications of the ACM, Special Issue on Information Filtering, Vol. 35 No. 12, pp. 26-8.
25. 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.
26. Mobasher, B., Dai, H., Luo, T., Nakagawa, M. and Wiltshire, J. (2000), "Discovery of aggregate usage profiles for Web personalisation", Proceedings of the webKDD Workshop.
27. Mooney, R. and Roy, L. (2000), "Content-based book recommending using learning for text categorisation", Proceedings of the 5th ACM Conference on Digital Libraries, San Antonio, ACM Press, New York, NY, pp. 195-204.
28. Pazzani, M. and Billsus, D. (1997), "Learning and revising user profiles: the identification of interesting Web sites", Machine Learning, Vol. 27 No. 4, pp. 313-31.
29. Pazzani, M. (1999), "A framework for collaborative, content-based and demographic filtering", Artificial Intelligence Review, Vol. 13 No. 56, pp. 393-408.
30. 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 16th Conference on Uncertainty in Artificial Intelligence, San Francisco, 30 June-3 July, Morgan Kaufmann, San Francisco, CA, pp. 473-80.
31. Pitkow, J. and Pirolli, P. (1999), "Mining longest repeating subsequences to predict World Wide Web surfing", Proceedings of the 2nd USENIX Symposium on Internet Technologies and Systems, Boulder, CO, pp. 139-150.
32. Schafer, J., Konstan, J. and Riedl, J. (2001), "E-commerce recommendation applications", Data Mining and Knowledge Discovery, Vol. 5 No. 1, pp. 10-22.
33. Shardanand, U. and Maes, P. (1995), "Social information filtering: algorithms for automating 'word of mouth'", Proceedings of the Conference on Human Factors in Computing Systems, Denver, CO, ACM Press, New York, NY, pp. 210-17.
34. Spink, A., Wilson, T., Ford, N., Foster, A. and Ellis, D. (2002), "Information seeking and mediated searching", Journal of The American Society For Information Science and Technology, Vol. 53 No. 9, pp. 695-703.
35. 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.
36. Terveen, L., Hill, W., Amento, B., McDonald, D. and Creter, J. (1997), "PHOAKS: a system for sharing recommendations", Communications of the ACM, Vol. 40 No. 3, pp. 59-62.
37. Wilensky, R. (1996), "Toward work-centred digital information services", IEEE Computer, Vol. 29 No. 5, pp. 7-44.
38. Yan, T., Jacobsen, M., Molina, H. and Dayal, U. (1996), "From user access patterns to dynamic hypertext linking", Proceedings of the 5th International World Wide Web Conference, pp. 1007-14.
39. Yang, Q., Zhang, H.H. and Li, T. (2001), "Mining Web 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.