-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
Gediminas Adomavicius and Alexander Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE Trans. Knowl. Data Eng., Vol. 17, no. 6, pp. 734-749, 2005.
-
(2005)
IEEE Trans. Knowl. Data Eng.
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
2
-
-
0031103679
-
Fab: Content-based, collaborative recommendation
-
Marko Balabanović and Yoav Shoham, "Fab: content-based, collaborative recommendation," Commun. ACM, Vol. 40, no. 3, pp. 66-72, 1997.
-
(1997)
Commun. ACM
, vol.40
, Issue.3
, pp. 66-72
-
-
Balabanović, M.1
Shoham, Y.2
-
3
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl, "An algorithmic framework for performing collaborative filtering," in SIGIR, 1999, pp. 230-237.
-
(1999)
SIGIR
, pp. 230-237
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
4
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
Badrul M. Sarwar, George Karypis, Joseph A. Konstan, and John Riedl, "Item-based collaborative filtering recommendation algorithms," in WWW, 2001, pp. 285-295.
-
(2001)
WWW
, pp. 285-295
-
-
Sarwar, B.M.1
Karypis, G.2
Konstan, J.A.3
Riedl, J.4
-
5
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
Jun Wang, Arjen P. de Vries, and Marcel J. T. Reinders, "Unifying user-based and item-based collaborative filtering approaches by similarity fusion," in SIGIR, 2006, pp. 501-508.
-
(2006)
SIGIR
, pp. 501-508
-
-
Wang, J.1
De Vries, A.P.2
Reinders, M.J.T.3
-
6
-
-
0001391984
-
Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach
-
David M. Pennock, Eric Horvitz, Steve Lawrence, and C. Lee Giles, "Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach," in UAI, 2000, pp. 473-480.
-
(2000)
UAI
, pp. 473-480
-
-
Pennock, D.M.1
Horvitz, E.2
Lawrence, S.3
Lee Giles, C.4
-
7
-
-
3042742744
-
Latent semantic models for collaborative filtering
-
Thomas Hofmann, "Latent semantic models for collaborative filtering," ACM Trans. Inf. Syst., Vol. 22, no. 1, pp. 89-115, 2004.
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.1
, pp. 89-115
-
-
Hofmann, T.1
-
8
-
-
1942516799
-
Flexible mixture model for collaborative filtering
-
Luo Si and Rong Jin, "Flexible mixture model for collaborative filtering," in ICML, 2003, pp. 704-711.
-
(2003)
ICML
, pp. 704-711
-
-
Si, L.1
Jin, R.2
-
9
-
-
1942516801
-
Weighted low-rank approximations
-
Nathan Srebro and Tommi Jaakkola, "Weighted low-rank approximations," in ICML, 2003, pp. 720-727.
-
(2003)
ICML
, pp. 720-727
-
-
Srebro, N.1
Jaakkola, T.2
-
11
-
-
36849035955
-
Recommendation on item graphs
-
Fei Wang, Sheng Ma, Liuzhong Yang, and Tao Li, "Recommendation on item graphs," in ICDM, 2006, pp. 1119-1123.
-
(2006)
ICDM
, pp. 1119-1123
-
-
Wang, F.1
Ma, S.2
Yang, L.3
Li, T.4
-
12
-
-
33745478821
-
Learning from incomplete ratings using non-negative matrix factorization
-
Sheng Zhang, Weihong Wang, James Ford, and Fillia Makedon, "Learning from incomplete ratings using non-negative matrix factorization," in SDM, 2006.
-
(2006)
SDM
-
-
Zhang, S.1
Wang, W.2
Ford, J.3
Makedon, F.4
-
13
-
-
49549101067
-
Collaborative filtering using orthogonal nonnegative matrix tri-factorization
-
Gang Chen, Fei Wang, and Changshui Zhang, "Collaborative filtering using orthogonal nonnegative matrix tri-factorization," in ICDM Workshops, 2007, pp. 303-308.
-
(2007)
ICDM Workshops
, pp. 303-308
-
-
Chen, G.1
Wang, F.2
Zhang, C.3
-
14
-
-
48349135120
-
Probabilistic matrix factorization
-
Ruslan Salakhutdinov and Andriy Mnih, "Probabilistic matrix factorization," in NIPS, 2007.
-
(2007)
NIPS
-
-
Salakhutdinov, R.1
Mnih, A.2
-
15
-
-
84860522688
-
Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments
-
Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, and Steve Lawrence, "Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments," in UAI, 2001, pp. 437-444.
-
(2001)
UAI
, pp. 437-444
-
-
Popescul, A.1
Ungar, L.H.2
Pennock, D.M.3
Lawrence, S.4
-
16
-
-
0036932094
-
Content-boosted collaborative filtering for improved recommendations
-
Prem Melville, Raymond J. Mooney, and Ramadass Nagarajan, "Content-boosted collaborative filtering for improved recommendations, " in AAAI/IAAI, 2002, pp. 187-192.
-
(2002)
AAAI/IAAI
, pp. 187-192
-
-
Melville, P.1
Mooney, R.J.2
Nagarajan, R.3
-
17
-
-
14344253490
-
Unifying collaborative and content-based filtering
-
Justin Basilico and Thomas Hofmann, "Unifying collaborative and content-based filtering," in ICML, 2004.
-
(2004)
ICML
-
-
Basilico, J.1
Hofmann, T.2
-
18
-
-
9444285502
-
Kernels and regularization on graphs
-
Alex J. Smola and Risi Imre Kondor, "Kernels and regularization on graphs," in COLT, 2003, pp. 144-158.
-
(2003)
COLT
, pp. 144-158
-
-
Smola, A.J.1
Kondor, R.I.2
-
19
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zhang, Qiang Yang, and Stephen Lin, "Graph embedding and extensions: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 29, no. 1, pp. 40-51, 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.4
Yang, Q.5
Lin, S.6
-
20
-
-
79956332461
-
Local relevance weighted maximum margin criterion for text classification
-
Quanquan Gu and Jie Zhou, "Local relevance weighted maximum margin criterion for text classification," in SDM, 2009, pp. 1135-1146.
-
(2009)
SDM
, pp. 1135-1146
-
-
Gu, Q.1
Zhou, J.2
-
21
-
-
67049155384
-
Non-negative matrix factorization on manifold
-
Deng Cai, Xiaofei He, Xiaoyun W.u., and Jiawei Han, "Non-negative matrix factorization on manifold," in ICDM, 2008, pp. 63-72.
-
(2008)
ICDM
, pp. 63-72
-
-
Cai, D.1
He, X.2
Wu, X.3
Han, J.4
-
22
-
-
77951187342
-
Local learning regularized nonnegative matrix factorization
-
Quanquan Gu and Jie Zhou, "Local learning regularized nonnegative matrix factorization," in IJCAI, 2009, pp. 1046-1051.
-
(2009)
IJCAI
, pp. 1046-1051
-
-
Gu, Q.1
Zhou, J.2
-
23
-
-
70350697580
-
Co-clustering on manifolds
-
Quanquan Gu and Jie Zhou, "Co-clustering on manifolds," in KDD, 2009, pp. 359-368.
-
(2009)
KDD
, pp. 359-368
-
-
Gu, Q.1
Zhou, J.2
-
24
-
-
53849111925
-
Semi-supervised clustering via matrix factorization
-
Fei Wang, Tao Li, and Changshui Zhang, "Semi-supervised clustering via matrix factorization," in SDM, 2008, pp. 1-12.
-
(2008)
SDM
, pp. 1-12
-
-
Wang, F.1
Li, T.2
Zhang, C.3
-
25
-
-
22944492898
-
Learning with local and global consistency
-
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, and Bernhard Schölkopf, "Learning with local and global consistency," in NIPS, 2003.
-
(2003)
NIPS
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
26
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," Journal of Machine Learning Research, Vol. 7, pp. 2399-2434, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
27
-
-
70350662708
-
Transductive classification via dual regularization
-
Quanquan Gu and Jie Zhou, "Transductive classification via dual regularization," in ECML/PKDD (1), 2009, pp. 439-454.
-
(2009)
ECML/PKDD (1)
, pp. 439-454
-
-
Gu, Q.1
Zhou, J.2
-
29
-
-
8644230345
-
An automatic weighting scheme for collaborative filtering
-
Rong Jin, Joyce Y. Chai, and Luo Si, "An automatic weighting scheme for collaborative filtering," in SIGIR, 2004, pp. 337-344.
-
(2004)
SIGIR
, pp. 337-344
-
-
Jin, R.1
Chai, J.Y.2
Si, L.3
-
30
-
-
80052126248
-
Trust based recommender system for semantic web
-
Punam Bedi, Harmeet Kaur, and Sudeep Marwaha, "Trust based recommender system for semantic web," in IJCAI, 2007, pp. 2677-2682.
-
(2007)
IJCAI
, pp. 2677-2682
-
-
Bedi, P.1
Kaur, H.2
Marwaha, S.3
-
31
-
-
70349257904
-
Sorec: Social recommendation using probabilistic matrix factorization
-
Hao Ma, Haixuan Yang, Michael R. Lyu, and Irwin King, "Sorec: social recommendation using probabilistic matrix factorization," in CIKM, 2008, pp. 931-940.
-
(2008)
CIKM
, pp. 931-940
-
-
Ma, H.1
Yang, H.2
Lyu, M.R.3
King, I.4
-
32
-
-
31844438615
-
Learning from labeled and unlabeled data on a directed graph
-
Dengyong Zhou, Jiayuan Huang, and Bernhard Schölkopf, "Learning from labeled and unlabeled data on a directed graph," in ICML, 2005, pp. 1036-1043.
-
(2005)
ICML
, pp. 1036-1043
-
-
Zhou, D.1
Huang, J.2
Schölkopf, B.3
-
34
-
-
0001093042
-
Algorithms for non-negative matrix factorization
-
Daniel D. Lee and H. Sebastian Seung, "Algorithms for non-negative matrix factorization," in NIPS, 2000, pp. 556-562.
-
(2000)
NIPS
, pp. 556-562
-
-
Lee, D.D.1
Sebastian Seung, H.2
-
35
-
-
33749575326
-
Orthogonal nonnegative matrix t-factorizations for clustering
-
Chris H. Q. Ding, Tao Li, Wei Peng, and Haesun Park, "Orthogonal nonnegative matrix t-factorizations for clustering," in KDD, 2006, pp. 126-135.
-
(2006)
KDD
, pp. 126-135
-
-
Chris, H.1
Ding, Q.2
Li, T.3
Peng, W.4
Park, H.5
-
36
-
-
70350679216
-
Convex and semi-nonnegative matrix factorizations
-
Chris H.Q. Ding, Tao Li, and Michael I. Jordan, "Convex and semi-nonnegative matrix factorizations," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 99, no. 1, 2008.
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.99
, Issue.1
-
-
Ding, C.H.Q.1
Li, T.2
Jordan, M.I.3
|