Next: About this document ...
Up: Semantically Enhanced Collaborative Filtering
Previous: Conclusions and Future Work
- 1
-
C. C. Aggarwal, J. L. Wolf, and P. S. Yu.
A new method for similarity indexing for market data.
In Proceedings of the 1999 ACM SIGMOD Conference, Philadelphia,
PA, June 1999.
- 2
-
C. Basu, H. Hirsh, and W. Cohen.
Recommendation as classification: Using social and content-based
information in recommendation.
In Proceedings of the the 15th National Conference on Artificial
Intelligence (AAAI 98), Madison, WI, July 1998.
- 3
-
B. Berendt, A. Hotho, and G. Stumme.
Towards semantic web mining.
In Proceedings of the First International Semantic Web
Conference (ISWC02), Sardinia, Italy, June 2002.
- 4
-
M.W. Berry, S.T. Dumais, and G.W. OBrien.
Using linear algebra for intelligent information retrieval.
SIAM Review, 37:573-595, 1995.
- 5
-
D. Billsus and M.J. Pazzani.
Learning collaborative information filters.
In Proceedings of the International Conference on Machine
Learning, Madison, WI, 1998.
- 6
-
M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin.
Combining content-based and collaborative filters in an online
newspaper.
In Proceedings of the ACM SIGIR '99 Workshop on Recommender
Systems: Algorithms and Evaluation, Berkeley, California, August 1999.
- 7
-
M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam, and
S. Slattery.
Learning to construct knowledge bases from the world wide web.
Artificial Intelligence, 118(1-2):69-113, 2000.
- 8
-
M. Deshpande and G. Karypis.
Item-based top-n recommendation algorithms.
ACM Transactions on Information Systems, 22(1):1-34, 2004.
- 9
-
P. Ganesan, H. Garcia-Molina, and J. Widom.
Exploiting hierarchical domain structure to compute similarity.
ACM Transactions on Information Systems, 21(1):63-94, 2003.
- 10
-
R. Ghani and A. Fano.
Building recommender systems using a knowledge base of product
semantics.
In Proceedings of the Workshop on Recommendation and
Personalization in E-Commerce, at the 2nd Int'l Conf. on Adaptive Hypermedia
and Adaptive Web Based Systems, Malaga, Spain, May 2002.
- 11
-
J. Herlocker, J. Konstan, A. Borchers, and J. Riedl.
An algorithmic framework for performing collaborative filtering.
In Proceedings of the 22nd ACM Conference on Research and
Development in Information Retrieval (SIGIR'99), Berkeley, CA, August 1999.
- 12
-
I. Horrocks.
Daml+oil: A reasonable web ontology language.
In Proceedings of the 8th International Conference on Extending
Database Technology, pages 2-13, Prague, Czech Republic, March 2002.
Springer-Verlag.
- 13
-
A. Hotho, A. Maedche, and S. Staab.
Ontology-based text clustering.
In Proceedings of the IJCAI-2001 Workshop Text Learning: Beyond
Supervision, Seattle, WA, August 2001.
- 14
-
J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl.
Grouplens: Applying collaborative filtering to usenet news.
Communications of the ACM, 40(3), 1997.
- 15
-
P. Melville, R.J. Mooney, and R. Nagarajan.
Content-boosted collaborative filtering.
In Proceedings of the SIGIR2001 Workshop on Recommender
Systems, New Orleans, LA, September 2001.
- 16
-
B. Mobasher, R. Cooley, and J. Srivastava.
Automatic personalization based on web usage mining.
Communications of the ACM, 43(8):142-151, 2000.
- 17
-
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa.
Effective personalization based on association rule discovery from
web usage data.
In Proceedings of the 3rd ACM Workshop on Web Information and
Data Management (WIDM01), Atlanta, Georgia, November 2001.
- 18
-
B. Mobasher, H. Dai, and M. Nakagawa T. Luo.
Discovery and evaluation of aggregate usage profiles for web
personalization.
Data Mining and Knowledge Discovery, 6:61-82, 2002.
- 19
-
M. O'Conner and J. Herlocker.
Clustering items for collaborative filtering.
In Proceedings of the ACM SIGIR Workshop on Recommender
Systems, Berkeley, CA, August 1999.
- 20
-
M. Pazzani.
A framework for collaborative, content-based and demographic
filtering.
Artificial Intelligence Review, 13(5-6):393-408, 1999.
- 21
-
D. Pierrakos, G. Paliouras, C. Papatheodorou, and C.D. Spyropoulos.
Web usage mining as a tool for personalization: A survey.
User Modeling and User-Adapted Interaction, 13:311-372, 2003.
- 22
-
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl.
Application of dimensionality reduction in recommender systems-a
case study.
In Proceedings of the WebKDD 2000 Workshop at the ACM-SIGKDD
Conference on Knowledge Discovery in Databases (KDD'00), August 2000.
- 23
-
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl.
Item-based collaborative filtering recommendation algorithms.
In Proceedings of the 10th International WWW Conference, Hong
Kong, May 2001.
- 24
-
B. M. Sarwar, G. Karypis, J. Konstan, and J. Riedl.
Analysis of recommender algorithms for e-commerce.
In Proceedings of the 2nd ACM E-Commerce Conference (EC'00),
Minneapolis, MN, October 2000.
- 25
-
U. Shardanand and P. Maes.
Social information filtering: Algorithms for automating 'word of
mouth'.
In Proceedings of the Computer-Human Interaction Conference
(CHI95), Denver, CO, May 1995.
- 26
-
J. Srivastava, R. Cooley, M. Deshpande, and P. Tan.
Web usage mining: Discovery and applications of usage patterns from
web data.
SIGKDD Explorations, 1(2):12-23, 2000.
Bamshad Mobasher
2004-03-09