Enhancing digital libraries with TechLens

Proceedings of the ACM IEEE International Conference on Digital Libraries, JCDL 2004

Volumn , Issue , 2004, Pages 228-236

  Torres, Roberto ^a,b   McNee, Sean M ^b   Abel, Mara ^a   Konstan, Joseph A ^b   Riedl, John ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b University of Minnesota   (United States)

Author keywords

Collaborative Filtering; Content Based Filtering; Digital Libraries; Hybrid Recommender Systems

Indexed keywords

ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; CONTENT BASED RETRIEVAL; DATA ACQUISITION; INFORMATION RETRIEVAL; SEARCH ENGINES;

COLLABORATIVE FILTERING; CONTENT-BASED FILTERING; CROSS-CULTURAL EFFECTS; HYBRID RECOMMENDER SYSTEMS;

DIGITAL LIBRARIES;

EID: 4944231474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/996350.996402     Document Type: Conference Paper

References (24)

1. ACM Digital Library, http://www.acm.org/dl, 2004.
2. Balabanovic, M. and Y. Shoham. Fab: Content-Based, Collaborative Recommendation. Communications of the ACM, 40(3), 1997, pp. 66-72.
3. Bollacker, K., S. Lawrence, and C.L. Giles. A System for Automatic Personalized Tracking of Scientific Literature on the Web. In Proceedings of the Fourth ACM Conference on Digital Libraries (DL 99), Berkeley, CA, 1999, pp. 105-113.
4. Breese, J., D. Heckerman, and C. Kadie. Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI 98), Madison, WI, 1998, pp. 43-52.
5. Burke, R. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-adapted Interaction, 12(4), 2002, pp. 331-370.
6. Claypool, M., A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin. Combining Content-Based and Collaborative Filters in an Online Newspaper. ACM SIGIR '99 Workshop on Recommender Systems, Berkeley, CA, 1999.
7. Cotter, P. and B. Smyth. PTV: Intelligent Personalised TV Guides. In Proceedings of the Twelfth Innovative Applications of Artificial Intelligence Conference on Artificial Intelligence (IAAI-2000), Austin, TX, 2000, pp. 957-964.
8. eBizSearch, http://gunther.smeal.psu.edu/, 2004.
9. Google, http://www.google.com/, 2004.
10. Herlocker, J., J. Konstan, A. Borchers, and J. Riedl. An Algorithmic Framework for Performing Collaborative Filtering. In Proceedings of the Twenty-Second Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '99), Berkeley, CA, 1999, pp. 230-237.
11. Bharat, K., T. Kamba, and M. Albers. Personalized, Interactive News on the Web. Multimedia Systems, 6(5), 1998, pp. 249-358.
12. Karypis, G., SUGGEST Top-N Recommendation Engine, http://www.cs.umn.edu/ ~karypis/suggest/, 2000.
13. LANL (arXiv) e-Print Archive, http://arxiv.org/, 2004.
14. Lawrence, S., Access to Scientific literature. The Nature Yearbook of Science and Technology, 420(19), 2001, p. 86-88.
15. McCallum, A.K., Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering, http://www-2.cs.cmu.edu/~mccallum/bow/ , 1996.
16. McNee, S., I. Albert, D. Cosley, P. Gopalkrishnan, S.K. Lam, A.M. Rashid, J.A. Konstan, and J. Riedl. On the Recommending of Citations for Research Papers. In Proceedings of the ACM 2002 Conference on Computer Supported Cooperative Work (CSCW 2002), New Orleans, LA, 2002, pp. 116-125.
17. Melville, P., R.J. Mooney, and R. Nagarajan. Content-Boosted Collaborative Filtering. ACM SIGIR 2001 Workshop on Recommender Systems, New Orleans, LA, 2001.
18. NSF, N.S.F. Academic Research and Development. 1999.
19. New-Zealand Digital Library, http://www.sadl.uleth.ca/nz/cgi-bin/library, 2004.
20. Penn State University, CiteSeer.IST, http://citeseer.ist.psu.edu/, 2004.
21. Resnick, P., N. Iacovou, M. Sushak, P. Bergstrom, and J. Riedl. GroupLens: An open architecture for collaborative filtering of netnews. In Proceedings of the ACM 1994 Conference on Computer Supported Collaborative Work (CSCW '94), Chapel Hill, NC, 1994, pp. 175-186.
22. Salton, G. and C. Buckley, Term weighting approaches in automatic text retrieval. Information Processing and Management, 24(5), 1988, p. 513-523.
23. Shardanand, U. and P. Maes. Social information Filtering: Algorithms for automating "word of mouth". In Proceedings of the 1995 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 95), Denver, CO, 1995, pp. 210-217.
24. Woodruff, A., R. Gossweiler, J. Pitkow, E.H. Chi, and S.K. Card. Enhancing a Digital Book with a Reading Recommender. In Proceedings of the 2000 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2000), The Hague, The Netherlands, 2000, pp. 153-160.