-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
IEEE Transactions on
-
G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, 17(6):734-749, 2005.
-
(2005)
Knowledge and Data Engineering
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
2
-
-
0002734008
-
Horting hatches an egg: A new graph-theoretic approach to collaborative filtering
-
New York, NY, USA ACM
-
C. C. Aggarwal, J. L. Wolf, K.-L. Wu, and P. S. Yu. Horting hatches an egg: a new graph-theoretic approach to collaborative filtering. In KDD '99, pages 201-212, New York, NY, USA, 1999. ACM.
-
(1999)
KDD '99
, pp. 201-212
-
-
Aggarwal, C.C.1
Wolf, J.L.2
Wu, K.-L.3
Yu, P.S.4
-
3
-
-
0031103679
-
Fab: Content-based, collaborative recommendation
-
M. Balabanović and Y. Shoham. Fab: content-based, collaborative recommendation. Commun. ACM, 40(3):66-72, 1997.
-
(1997)
Commun. ACM
, vol.40
, Issue.3
, pp. 66-72
-
-
Balabanović, M.1
Shoham, Y.2
-
4
-
-
85047670813
-
Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories
-
October
-
L. W. Barsalou. Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11(4):629-654, October 1985.
-
(1985)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.11
, Issue.4
, pp. 629-654
-
-
Barsalou, L.W.1
-
5
-
-
57649221782
-
Formalizing object typicality in context-aware ontology
-
IEEE Computer Society
-
Y. Cai and H. fung Leung. Formalizing object typicality in context-aware ontology. In ICTAI (2), pages 233-240. IEEE Computer Society, 2008.
-
(2008)
ICTAI
, Issue.2
, pp. 233-240
-
-
Cai, Y.1
Fung Leung, H.2
-
8
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
New York, NY, USA ACM Press
-
J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In SIGIR '99, pages 230-237, New York, NY, USA, 1999. ACM Press.
-
(1999)
SIGIR '99
, pp. 230-237
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
10
-
-
0031103122
-
GroupLens: Applying collaborative filtering to usenet news
-
J. A. Konstan, B. N. Miller, D. Maltz, J. L. Herlocker, L. R. Gordon, and J. Riedl. GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3):77-87, 1997.
-
(1997)
Communications of the ACM
, vol.40
, Issue.3
, pp. 77-87
-
-
Konstan, J.A.1
Miller, B.N.2
Maltz, D.3
Herlocker, J.L.4
Gordon, L.R.5
Riedl, J.6
-
12
-
-
77951196813
-
Can movies and books collaborate? Cross-domain collaborative filtering for sparsity reduction
-
C. Boutilier, editor
-
B. Li, Q. Yang, and X. Xue. Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction. In C. Boutilier, editor, IJCAI, pages 2052-2057, 2009.
-
(2009)
IJCAI
, pp. 2052-2057
-
-
Li, B.1
Yang, Q.2
Xue, X.3
-
13
-
-
36448972659
-
Effective missing data prediction for collaborative filtering
-
New York, NY, USA ACM
-
H. Ma, I. King, and M. R. Lyu. Effective missing data prediction for collaborative filtering. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 39-46, New York, NY, USA, 2007. ACM.
-
(2007)
SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 39-46
-
-
Ma, H.1
King, I.2
Lyu, M.R.3
-
15
-
-
0036932094
-
Content-boosted collaborative filtering for improved recommendations
-
Menlo Park, CA, USA American Association for Artificial Intelligence
-
P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative filtering for improved recommendations. In Eighteenth national conference on Artificial intelligence, pages 187-192, Menlo Park, CA, USA, 2002. American Association for Artificial Intelligence.
-
(2002)
Eighteenth National Conference on Artificial Intelligence
, pp. 187-192
-
-
Melville, P.1
Mooney, R.J.2
Nagarajan, R.3
-
16
-
-
0033653019
-
Content-based book recommending using learning for text categorization
-
New York, NY, USA ACM
-
R. J. Mooney and L. Roy. Content-based book recommending using learning for text categorization. In DL '00: Proceedings of the fifth ACM conference on Digital libraries, pages 195-204, New York, NY, USA, 2000. ACM.
-
(2000)
DL '00: Proceedings of the Fifth ACM Conference on Digital Libraries
, pp. 195-204
-
-
Mooney, R.J.1
Roy, L.2
-
18
-
-
0031168547
-
Learning and revising user profiles: The identification ofinteresting web sites
-
M. Pazzani and D. Billsus. Learning and revising user profiles: The identification ofinteresting web sites. Mach. Learn., 27(3):313-331, 1997.
-
(1997)
Mach. Learn.
, vol.27
, Issue.3
, pp. 313-331
-
-
Pazzani, M.1
Billsus, D.2
-
19
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
New York, NY, USA ACM
-
B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW '01, pages 285-295, New York, NY, USA, 2001. ACM.
-
(2001)
WWW '01
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Reidl, J.4
-
21
-
-
65449166085
-
Arnetminer: Extraction and mining of academic social networks
-
New York, NY, USA ACM
-
J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Arnetminer: extraction and mining of academic social networks. In KDD '08, pages 990-998, New York, NY, USA, 2008. ACM.
-
(2008)
KDD '08
, pp. 990-998
-
-
Tang, J.1
Zhang, J.2
Yao, L.3
Li, J.4
Zhang, L.5
Su, Z.6
-
22
-
-
0031104279
-
Phoaks: A system for sharing recommendations
-
L. Terveen, W. Hill, B. Amento, D. McDonald, and J. Creter. Phoaks: a system for sharing recommendations. Commun. ACM, 40(3):59-62, 1997.
-
(1997)
Commun. ACM
, vol.40
, Issue.3
, pp. 59-62
-
-
Terveen, L.1
Hill, W.2
Amento, B.3
McDonald, D.4
Creter, J.5
-
23
-
-
41349112246
-
A varying abstraction model for categorization
-
Mahwah, NJ Lawrence Erlbaum
-
W. Vanpaemel, G. Storms, and B. Ons. A varying abstraction model for categorization. In CogSci2005, pages 2277-2282, Mahwah, NJ, 2005. Lawrence Erlbaum.
-
(2005)
CogSci2005
, pp. 2277-2282
-
-
Vanpaemel, W.1
Storms, G.2
Ons, B.3
-
24
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
New York, NY, USA ACM
-
J. Wang, A. P. de Vries, and M. J. T. Reinders. Unifying user-based and item-based collaborative filtering approaches by similarity fusion. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 501-508, New York, NY, USA, 2006. ACM.
-
(2006)
SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 501-508
-
-
Wang, J.1
De Vries, A.P.2
Reinders, M.J.T.3
-
25
-
-
84885578920
-
Scalable collaborative filtering using cluster-based smoothing
-
G.-R. Xue, C. Lin, Q. Yang, W. Xi, H.-J. Zeng, Y. Yu, and Z. Chen. Scalable collaborative filtering using cluster-based smoothing. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval.
-
SIGIR '05: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
-
-
Xue, G.-R.1
Lin, C.2
Yang, Q.3
Xi, W.4
Zeng, H.-J.5
Yu, Y.6
Chen, Z.7
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