-
1
-
-
36448972659
-
Effective missing data prediction for collaborative filtering
-
Amsterdam, The Netherlands, July 23-27, ACM Press, NewYork, NY
-
Ma, H., King, I. and Lyu, M.R. (2007) Effective Missing Data Prediction for Collaborative Filtering. Proc. 30th Annual Int. ACM SIGIR, Amsterdam, The Netherlands, July 23-27, pp. 39-46. ACM Press, NewYork, NY.
-
(2007)
Proc. 30th Annual Int. ACM SIGIR
, pp. 39-46
-
-
Ma, H.1
King, I.2
Lyu, M.R.3
-
2
-
-
48349093367
-
A collaborative filtering framework based on both local user similarity and global user similarity
-
Luo, H., Niu, C., Shen, R. and Ullrich, C. (2008)A collaborative filtering framework based on both local user similarity and global user similarity. Machine Learning 72(3), 231-245.
-
(2008)
Machine Learning
, vol.72
, Issue.3
, pp. 231-245
-
-
Luo, H.1
Niu, C.2
Shen, R.3
Ullrich, C.4
-
3
-
-
0036959356
-
Hybrid recommender systems: Survey and experiments
-
Burke, R. (2002) Hybrid recommender systems: Survey and experiments. User Model. User-Adapt. Interact., 12, 331-370.
-
(2002)
User Model. User-Adapt. Interact.
, vol.12
, pp. 331-370
-
-
Burke, R.1
-
4
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-ofthe- art and possible extensions
-
Adomavicius, G. and Tuzhilin, A. (2005) Toward the next generation of recommender systems: A survey of the state-ofthe- art and possible extensions. IEEE Trans. Knowl. Data Eng., 17, 734-749.
-
(2005)
IEEE Trans. Knowl. Data Eng.
, vol.17
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
6
-
-
84873459337
-
Hybrid collaborative and content-based movie recommendation using probabilistic model with latent user preferences
-
Victoria, Alberta, Canada, October 8-12
-
Yoshii, K., Goto, M., Komatani, K., Ogata, T. and Okuno, H.G. (2006) Hybrid Collaborative and Content-Based Movie Recommendation Using Probabilistic Model with Latent User Preferences. Proc. 7th Int. Conf. Music Information Retrieval (ISMIR), Victoria, Alberta, Canada, October 8-12, pp. 296-301.
-
(2006)
Proc. 7th Int. Conf. Music Information Retrieval (ISMIR)
, pp. 296-301
-
-
Yoshii, K.1
Goto, M.2
Komatani, K.3
Ogata, T.4
Okuno, H.G.5
-
7
-
-
37249036549
-
Ahybrid approach formovie recommendation
-
Lekakos, G. and Caravelas, P. (2008)Ahybrid approach formovie recommendation. Multimedia Tools Appl., 36, 55-70.
-
(2008)
Multimedia Tools Appl.
, vol.36
, pp. 55-70
-
-
Lekakos, G.1
Caravelas, P.2
-
8
-
-
0036932094
-
Content- boosted collaborative filtering for improved recommendation
-
Edmonton, Canada, July 28-August 1, American Association for Artificial Intelligence (AAAI) Press, Menlo Park, CA
-
Melville, P., Mooney, R.J. and Nagarajan, R. (2002) Content- Boosted Collaborative Filtering for Improved Recommendation. Proc. National Conf. Artificial Intelligence, Edmonton, Canada, July 28-August 1, pp.187-192. American Association for Artificial Intelligence (AAAI) Press, Menlo Park, CA.
-
(2002)
Proc. National Conf. Artificial Intelligence
, pp. 187-192
-
-
Melville, P.1
Mooney, R.J.2
Nagarajan, R.3
-
9
-
-
80052562663
-
-
The Internet Movie Database (IMDb)
-
The Internet Movie Database (IMDb). http://www.imdb.com.
-
-
-
-
10
-
-
84891926225
-
A content-based user model generation and optimization approach for movie recommendation
-
American Association for Artificial Intelligence (AAAI) Press, CA, USA
-
Kirmemis, O. and Birturk, A. (2008) A Content-Based User Model Generation and Optimization Approach for Movie Recommendation. Proc. 6thWorkshop on Intelligent Techniques for Web Personalization & Recommender Systems, Chicago, IL, USA, July 13-17. American Association for Artificial Intelligence (AAAI) Press, CA, USA.
-
(2008)
Proc. 6thWorkshop on Intelligent Techniques for Web Personalization & Recommender Systems, Chicago, IL, USA, July
, pp. 13-17
-
-
Kirmemis, O.1
Birturk, A.2
-
11
-
-
80052581938
-
-
IMDbPY
-
IMDbPY. http://imdbpy.sourceforge.net/.
-
-
-
-
12
-
-
57349175840
-
Feature weighting in content based recommendation system using social network analysis
-
Beijing, China, April 21-25, ACM Press, NewYork, NY
-
Debnath, S., Ganguly, N. and Mitra, P. (2008) FeatureWeighting in Content Based Recommendation System Using Social Network Analysis. Proc. 17th Int. Conf. World Wide Web (WWW'08), Beijing, China, April 21-25, pp. 1041-1042. ACM Press, NewYork, NY.
-
(2008)
Proc. 17th Int. Conf. World Wide Web (WWW'08)
, pp. 1041-1042
-
-
Debnath, S.1
Ganguly, N.2
Mitra, P.3
-
13
-
-
8644228708
-
A collaborative filtering algorithm and evaluation metric that accurately model the user experience
-
Sheffield, UK, July 25-29, ACM Press, NewYork, NY
-
McLaughlin, M.R. and Herlocker, J.L. (2004) A Collaborative FilteringAlgorithm and Evaluation Metric that Accurately Model the User Experience. 27th Annual Int.ACMSIGIR Conf. Research and Development in Information Retrieval, Sheffield, UK, July 25-29, pp. 329-336. ACM Press, NewYork, NY.
-
(2004)
27th Annual Int. ACMSIGIR Conf. Research and Development in Information Retrieval
, pp. 329-336
-
-
McLaughlin, M.R.1
Herlocker, J.L.2
-
14
-
-
84945709831
-
Algorithm 97: Shortest path
-
Floyd, R.W. (1962) Algorithm 97: Shortest path. Commun. ACM, 5, 345-348.
-
(1962)
Commun. ACM
, vol.5
, pp. 345-348
-
-
Floyd, R.W.1
-
15
-
-
80052567405
-
-
MovieLens
-
MovieLens. www.movielens.umn.edu.
-
-
-
-
16
-
-
70350113456
-
Do metrics make recommender algorithms?
-
Bradford, UK, May 26-29, IEEE Computer Society Press,Washington, DC, USA
-
Campochiaro, E., Casatta, R., Cremonesi, P. andTurrin, R. (2009) Do Metrics Make Recommender Algorithms? Proc. Int. Conf. Advanced Information Networking and Applications (AINA), Bradford, UK, May 26-29, pp. 648-653. IEEE Computer Society Press,Washington, DC, USA.
-
(2009)
Proc. Int. Conf. Advanced Information Networking and Applications (AINA)
, pp. 648-653
-
-
Campochiaro, E.1
Casatta, R.2
Cremonesi, P.3
Turrin, R.4
-
17
-
-
85030174634
-
Grouplens: An open architecture for collaborative filtering of netnews
-
Chapel Hill, NC, USA, October 22-26, ACM Press, NewYork, NY
-
Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P. and Riedl, J. (1994) GroupLens: An Open Architecture for Collaborative Filtering of Netnews. Proc. ACM Conf. Computer Supported Cooperative Work, Chapel Hill, NC, USA, October 22-26, pp. 175-186. ACM Press, NewYork, NY.
-
(1994)
Proc. ACM Conf. Computer Supported Cooperative Work
, pp. 175-186
-
-
Resnick, P.1
Iacovou, N.2
Suchak, M.3
Bergstrom, P.4
Riedl, J.5
-
18
-
-
85052617391
-
Item- based collaborative filtering recommendation algorithms
-
Hong Kong, May 1-5, WWW10 Ltd., Kowloon, Hong Kong
-
Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001) Item- Based Collaborative Filtering Recommendation Algorithms. Proc. 10th Int. Conf. World Wide Web (WWW'01), Hong Kong, May 1-5, pp. 285-295. WWW10 Ltd., Kowloon, Hong Kong.
-
(2001)
Proc. 10th Int. Conf. World Wide Web (WWW'01)
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
19
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
ACM Press, NewYork, NY
-
Wang, J., de Vries, A.P. and Reinders, M.J. (2006) Unifying User-Based and Item-Based Collaborative Filtering Approaches by Similarity Fusion. Proc. 29th Annual Int. ACM SIGIR Conf. Research and Development in Information Retrieval, Seatttle, WA, USA, August 6-11, pp. 501-508. ACM Press, NewYork, NY.
-
(2006)
Proc. 29th Annual Int. ACM SIGIR Conf. Research and Development in Information Retrieval
, pp. 501-508
-
-
Wang, J.1
De Vries, A.P.2
Reinders, M.J.3
|