-
1
-
-
0036384150
-
Getting to know you: Learning new user preferences in recommender systems
-
Al Mamunur, R., Istvan, A., Cosley, D., Lam, S. K., McNee, S. M., Konstan, J. A., & Riedl, J. (2002). Getting to know you: Learning new user preferences in recommender systems. In Proceedings of the seventh international conference on Intelligent user, interfaces.
-
(2002)
Proceedings of the Seventh International Conference on Intelligent User, Interfaces
-
-
Al Mamunur, R.1
Istvan, A.2
Cosley, D.3
Lam, S.K.4
McNee, S.M.5
Konstan, J.A.6
Riedl, J.7
-
3
-
-
84888353905
-
The JUMP project: Domain ontologies and linguistic knowledge at work
-
Basile, P., de Gemmis, M., Gentile, A., Iaquinta, L., & Lops, P. (2007). The JUMP project: Domain ontologies and linguistic knowledge at work. In Proceedings of the fourth Italian semantic web applications and perspectives - SWAP 2007.
-
(2007)
Proceedings of the Fourth Italian Semantic Web Applications and Perspectives - SWAP 2007
-
-
Basile, P.1
De Gemmis, M.2
Gentile, A.3
Iaquinta, L.4
Lops, P.5
-
5
-
-
0034479396
-
User modeling for adaptive news access
-
DOI 10.1023/A:1026501525781
-
Billsus, D., & Pazzani, M. J. (2000). User modelling for adaptive news access. User modelling and user-adapted interaction, 10 (2-3), pp. 147-180. (Pubitemid 32138187)
-
(2000)
User Modelling and User-Adapted Interaction
, vol.10
, Issue.2-3
, pp. 147-180
-
-
Billsus, D.1
Pazzani, M.J.2
-
6
-
-
0036993076
-
Collaborative filtering with privacy via factor analysis
-
Canny, J. (2002). Collaborative filtering with privacy via factor analysis. In SIGIR.
-
(2002)
SIGIR
-
-
Canny, J.1
-
9
-
-
34249308531
-
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
-
DOI 10.1007/s11257-006-9023-4
-
M. De Gemmis, P. Lops, and G. Semeraro A content-collaborative recommender that exploitswordnet-based user profiles for neighborhood formation. User modeling and user-adapted interaction The Journal of Personalization Research 17 3 2007 217 255 (Pubitemid 46807639)
-
(2007)
User Modelling and User-Adapted Interaction
, vol.17
, Issue.3
, pp. 217-255
-
-
Degemmis, M.1
Lops, P.2
Semeraro, G.3
-
10
-
-
3042821101
-
Item-based top-N recommendation algorithms
-
M. Deshpande Item-based top-N recommendation algorithms ACM TOIS 22 1 2004 143 177
-
(2004)
ACM TOIS
, vol.22
, Issue.1
, pp. 143-177
-
-
Deshpande, M.1
-
13
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
Herlocker, J. L., Konstan, J. A., Borchers, A. & Riedl, J. (1999). An algorithmic framework for performing collaborative filtering. In SIGIR.
-
(1999)
SIGIR
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
14
-
-
78649966194
-
Optimizing multiple objectives in collaborative filtering
-
Barcelona, Spain
-
Jambor, T., & Wang, J. (2010). Optimizing multiple objectives in collaborative filtering. In Proceedings of RecSys, Barcelona, Spain.
-
(2010)
Proceedings of RecSys
-
-
Jambor, T.1
Wang, J.2
-
15
-
-
33744797084
-
A study of mixture models for collaborative filtering
-
DOI 10.1007/s10791-006-4651-1
-
R. Jin, L. Si, and C. Zhai A study of mixture models for collaborative filtering Journal of Information Retrieval 9 3 2006 357 382 (Pubitemid 43839180)
-
(2006)
Information Retrieval
, vol.9
, Issue.3
, pp. 357-382
-
-
Jin, R.1
Si, L.2
Zhai, C.3
-
16
-
-
84867684196
-
TopRecs: Top-k algorithms for item-based collaborative filtering
-
Sweden
-
Khabbaz, M., & Lakshmanan, L. V. S. (2011). TopRecs: Top-k algorithms for item-based collaborative filtering. In Proceedings of EDBT, Sweden.
-
(2011)
Proceedings of EDBT
-
-
Khabbaz, M.1
Lakshmanan, L.V.S.2
-
17
-
-
36749047332
-
Supervised machine learning: A review of classification techniques
-
S.B. Kotsiantis Supervised machine learning: A review of classification techniques Informatica 31 2007 249 268 (Pubitemid 350208045)
-
(2007)
Informatica (Ljubljana)
, vol.31
, Issue.3
, pp. 249-268
-
-
Kotsiantis, S.B.1
-
18
-
-
70349824268
-
Addressing cold-start problem in recommendation systems
-
Lam, X. N., Vu, T., Le, T. D., & Duong, A. D. (2008). Addressing cold-start problem in recommendation systems. In Proceedings of the second international conference on ubiquitous information management and, communication.
-
(2008)
Proceedings of the Second International Conference on Ubiquitous Information Management And, Communication
-
-
Lam, X.N.1
Vu, T.2
Le, T.D.3
Duong, A.D.4
-
20
-
-
80052881372
-
Content-based recommender systems: State of the art and trends
-
F. Ricci, L. Rokach, B. Shapira, P. Kantor, Springer
-
P. Lops, M. de Gemmis, and G. Semeraro Content-based recommender systems: State of the art and trends F. Ricci, L. Rokach, B. Shapira, P. Kantor, Recommender systems handbook 2011 Springer 73 105
-
(2011)
Recommender Systems Handbook
, pp. 73-105
-
-
Lops, P.1
De Gemmis, M.2
Semeraro, G.3
-
21
-
-
84943173790
-
Improving User Modeling with Content-Based Techniques
-
User Modeling 2001
-
Magnini, B., & Strapparava, C. (2001). Improving user modelling with content-based techniques. In Proceedings of the eighth international conference of user modelling (pp. 74-83). (Pubitemid 33304886)
-
(2001)
Lecture Notes in Computer Science
, Issue.2109
, pp. 74-83
-
-
Magnini, B.1
Strapparava, C.2
-
27
-
-
0031191784
-
Amalthaea: Information discovery and filtering using a multiagent evolving ecosystem
-
A. Moukas Amalthaea information discovery and filtering using a multiagent evolving ecosystem Applied Artificial Intelligence 11 5 1997 437 457 (Pubitemid 127642301)
-
(1996)
Applied Artificial Intelligence
, vol.11
, Issue.5
, pp. 437-457
-
-
Moukas, A.1
-
31
-
-
0031168547
-
Learning and Revising User Profiles: The Identification of Interesting Web Sites
-
M. Pazzani, and D. Billsus Learning and revising user profiles: The identification of interesting web sites Machine Learning 27 3 1997 313 331 (Pubitemid 127510033)
-
(1997)
Machine Learning
, vol.27
, Issue.3
, pp. 313-331
-
-
Pazzani, M.1
Billsus, D.2
-
32
-
-
0012253296
-
Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments
-
Popescul, A., Ungar, L. H., Pennock, D. M., Lawrence, S. (2001). Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In Proceedings of the 17th conference on uncertainty in artificial intelligence.
-
(2001)
Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence
-
-
Popescul, A.1
Ungar, L.H.2
Pennock, D.M.3
Lawrence, S.4
-
35
-
-
34249990939
-
Collaborative filtering recommender systems
-
The Adaptive Web: Methods and Strategies of Web Personalization
-
Schafer, J., Frankowski, D., Herlocker, J., & Sen, S. (2007) Collaborative filtering recommender systems. In: P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web (pp. 291-324). (Pubitemid 351189201)
-
(2007)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, pp. 291-324
-
-
Schafer, J.B.1
Frankowski, D.2
Herlocker, J.3
Sen, S.4
-
36
-
-
0036989477
-
Methods and metrics for cold-start recommendations
-
Schein, A. I., Popescul, A., Ungar, L. H., & Pennock, D. M. (2002). Methods and metrics for cold-start recommendations. In Proceedings of the 25th international ACM SIGIR.
-
(2002)
Proceedings of the 25th International ACM SIGIR
-
-
Schein, A.I.1
Popescul, A.2
Ungar, L.H.3
Pennock, D.M.4
-
37
-
-
79956317694
-
Using association rules to solve the cold-start problem in recommender systems
-
Shaw, G., Xu, Y., & Geva, S. (2010). Using association rules to solve the cold-start problem in recommender systems. In Lecture notes in computer science.
-
(2010)
Lecture Notes in Computer Science
-
-
Shaw, G.1
Xu, Y.2
Geva, S.3
-
39
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
Wang, J., de Vries, A. P. & Reinders, M. J. T. (2006). Unifying user-based and item-based collaborative filtering approaches by similarity fusion. In SIGIR.
-
(2006)
SIGIR
-
-
Wang, J.1
De Vries, A.P.2
Reinders, M.J.T.3
-
41
-
-
10044283198
-
The optimality of Naive Bayes
-
Zhang, H. (2004). The optimality of Naive Bayes. In FLAIRS.
-
(2004)
FLAIRS
-
-
Zhang, H.1
-
43
-
-
78751646378
-
Solving the cold-start problem in recommender systems with social tags
-
Zhang, Z. K., Liu, C., Zhang, Y., & Zhou, Z. (2010). Solving the cold-start problem in recommender systems with social tags, EPL (Vol. 92).
-
(2010)
EPL
, vol.92
-
-
Zhang, Z.K.1
Liu, C.2
Zhang, Y.3
Zhou, Z.4
|