-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
G. Adomavicius, G. Adomavicius, and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE TKDE, 17(6):734-749, 2005.
-
(2005)
IEEE TKDE
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Adomavicius, G.2
Tuzhilin, A.3
-
2
-
-
77954782513
-
Group recommendation: Semantics and efficiency
-
S. Amer-Yahia, S. B. Roy, A. Chawlat, G. Das, and C. Yu. Group recommendation: semantics and efficiency. PVLDB, 2:754-765, 2009.
-
(2009)
PVLDB
, vol.2
, pp. 754-765
-
-
Amer-Yahia, S.1
Roy, S.B.2
Chawlat, A.3
Das, G.4
Yu, C.5
-
3
-
-
0242498568
-
Intrigue: Personalized recommendation of tourist attractions for desktop and hand held devices
-
L. Ardissono, A. Goy, G. Petrone, M. Segnan, and P. Torasso. Intrigue: personalized recommendation of tourist attractions for desktop and hand held devices. Applied Artificial Intelligence, 17(8):687-714, 2003.
-
(2003)
Applied Artificial Intelligence
, vol.17
, Issue.8
, pp. 687-714
-
-
Ardissono, L.1
Goy, A.2
Petrone, G.3
Segnan, M.4
Torasso, P.5
-
4
-
-
78649935586
-
Group recommendations with rank aggregation and collaborative filtering
-
L. Baltrunas, T. Makcinskas, and F. Ricci. Group recommendations with rank aggregation and collaborative filtering. In RecSys, pages 119-126, 2010.
-
(2010)
RecSys
, pp. 119-126
-
-
Baltrunas, L.1
Makcinskas, T.2
Ricci, F.3
-
6
-
-
33749567580
-
Empirical analysis of predictive algorithms for collaborative filtering
-
J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI, pages 43-52, 1998.
-
(1998)
UAI
, pp. 43-52
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.3
-
7
-
-
33749567580
-
Empirical analysis of predictive algorithms for collaborative filtering
-
J. S. Breese, D. Heckerman, and C. M. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI, pages 43-52, 1998.
-
(1998)
UAI
, pp. 43-52
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.M.3
-
8
-
-
0036382751
-
Flytrap: Intelligent group music recommendation
-
A. Crossen, J. Budzik, and K. J. Hammond. Flytrap: intelligent group music recommendation. In IUI, pages 184-185, 2002.
-
(2002)
IUI
, pp. 184-185
-
-
Crossen, A.1
Budzik, J.2
Hammond, K.J.3
-
9
-
-
84976668719
-
Using collaborative filtering to weave an information tapestry
-
D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. CACM, 35:61-70, 1992.
-
(1992)
CACM
, vol.35
, pp. 61-70
-
-
Goldberg, D.1
Nichols, D.2
Oki, B.M.3
Terry, D.4
-
10
-
-
3042742744
-
Latent semantic models for collaborative filtering
-
T. Hofmann. Latent semantic models for collaborative filtering. TOIS, 22(1):89-115, 2004.
-
(2004)
TOIS
, vol.22
, Issue.1
, pp. 89-115
-
-
Hofmann, T.1
-
11
-
-
38849183481
-
-
chapter Recommendation to groups
-
A. Jameson and B. Smyth. The adaptive web. chapter Recommendation to groups, pages 596-627. 2007.
-
(2007)
The Adaptive Web
, pp. 596-627
-
-
Jameson, A.1
Smyth, B.2
-
12
-
-
84866035611
-
Event-based social networks: Linking the online and offline social worlds
-
X. Liu, Q. He, Y. Tian, W.-C. Lee, J. McPherson, and J. Han. Event-based social networks: Linking the online and offline social worlds. In KDD, 2012.
-
(2012)
KDD
-
-
Liu, X.1
He, Q.2
Tian, Y.3
Lee, W.-C.4
McPherson, J.5
Han, J.6
-
13
-
-
0842290000
-
Group modeling: Selecting a sequence of television items to suit a group of viewers
-
J. Masthoff. Group modeling: Selecting a sequence of television items to suit a group of viewers. UMUAI, 14:37-85, 2004.
-
(2004)
UMUAI
, vol.14
, pp. 37-85
-
-
Masthoff, J.1
-
14
-
-
0032282347
-
Musicfx: An arbiter of group preferences for computer supported collaborative workouts
-
J. F. McCarthy and T. D. Anagnost. Musicfx: an arbiter of group preferences for computer supported collaborative workouts. In CSCW, pages 363-372, 1998.
-
(1998)
CSCW
, pp. 363-372
-
-
McCarthy, J.F.1
Anagnost, T.D.2
-
15
-
-
33746068276
-
Cats: A synchronous approach to collaborative group recommendation
-
K. McCarthy, M. Salamó, L. Coyle, L. McGinty, B. Smyth, and P. Nixon. Cats: A synchronous approach to collaborative group recommendation. In FLAIRS, pages 86-91, 2006.
-
(2006)
FLAIRS
, pp. 86-91
-
-
McCarthy, K.1
Salamó, M.2
Coyle, L.3
McGinty, L.4
Smyth, B.5
Nixon, P.6
-
16
-
-
0033653019
-
Content-based book recommending using learning for text categorization
-
R. J. Mooney and L. Roy. Content-based book recommending using learning for text categorization. In DL, pages 195-204, 2000.
-
(2000)
DL
, pp. 195-204
-
-
Mooney, R.J.1
Roy, L.2
-
17
-
-
0842308560
-
Polylens: A recommender system for groups of users
-
M. O'Connor, D. Cosley, J. A. Konstan, and J. Riedl. Polylens: a recommender system for groups of users. In ECSCW, pages 199-218, 2001.
-
(2001)
ECSCW
, pp. 199-218
-
-
O'Connor, M.1
Cosley, D.2
Konstan, J.A.3
Riedl, J.4
-
18
-
-
38849159007
-
Group modeling in a public space: Methods, techniques, experiences
-
S. Pizzutilo, B. De Carolis, G. Cozzolongo, and F. Ambruoso. Group modeling in a public space: methods, techniques, experiences. In WSEAS, pages 175-180, 2005.
-
(2005)
WSEAS
, pp. 175-180
-
-
Pizzutilo, S.1
De Carolis, B.2
Cozzolongo, G.3
Ambruoso, F.4
-
19
-
-
85030174634
-
Grouplens: An open architecture for collaborative filtering of netnews
-
P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: an open architecture for collaborative filtering of netnews. In CSCW, pages 175-186, 1994.
-
(1994)
CSCW
, pp. 175-186
-
-
Resnick, P.1
Iacovou, N.2
Suchak, M.3
Bergstrom, P.4
Riedl, J.5
-
20
-
-
33745451385
-
The author-topic model for authors and documents
-
M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In UAI, pages 487-494, 2004.
-
(2004)
UAI
, pp. 487-494
-
-
Rosen-Zvi, M.1
Griffiths, T.2
Steyvers, M.3
Smyth, P.4
-
21
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In WWW, pages 285-295, 2001.
-
(2001)
WWW
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
23
-
-
0003235454
-
Clustering methods for collaborative filtering
-
L. Ungar, L. Ungar, D. Foster, E. Andre, S. Wars, F. S. Wars, D. S. Wars, and J. H. Whispers. Clustering methods for collaborative filtering. In AAAI Workshop on Recommendation Systems, 1998.
-
AAAI Workshop on Recommendation Systems, 1998
-
-
Ungar, L.1
Ungar, L.2
Foster, D.3
Andre, E.4
Wars, S.5
Wars, F.S.6
Wars, D.S.7
Whispers, J.H.8
-
24
-
-
84866612153
-
Exploring social influence for recommendation - A generative model approach
-
M. Ye, X. Liu, and W.-C. Lee. Exploring social influence for recommendation - a generative model approach. In SIGIR, 2012.
-
(2012)
SIGIR
-
-
Ye, M.1
Liu, X.2
Lee, W.-C.3
-
25
-
-
33746058968
-
Tv program recommendation for multiple viewers based on user profile merging
-
Z. Yu, X. Zhou, Y. Hao, and J. Gu. Tv program recommendation for multiple viewers based on user profile merging. UMUAI, 16:63-82, 2006.
-
(2006)
UMUAI
, vol.16
, pp. 63-82
-
-
Yu, Z.1
Zhou, X.2
Hao, Y.3
Gu, J.4
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