-
1
-
-
84872759615
-
Location-based and preference-aware recommendation using sparse geo-social networking data
-
J. Bao, Y. Zheng, and M. F. Mokbe. Location-based and preference-aware recommendation using sparse geo-social networking data. In SIGSPATIAL, 2012.
-
(2012)
SIGSPATIAL
-
-
Bao, J.1
Zheng, Y.2
Mokbe, M.F.3
-
2
-
-
84879743820
-
Fused matrix factorization with geographical and social influence in location-based social networks
-
C. Cheng, H. Yang, I. King, and M. R. Lyu. Fused matrix factorization with geographical and social influence in location-based social networks. In AAAI, 2012.
-
(2012)
AAAI
-
-
Cheng, C.1
Yang, H.2
King, I.3
Lyu, M.R.4
-
3
-
-
80052648113
-
Friendship and mobility: User movement in location-based social networks
-
E. Cho, S. A. Myers, and J. Leskovec. Friendship and mobility: User movement in location-based social networks. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Cho, E.1
Myers, S.A.2
Leskovec, J.3
-
5
-
-
80052124916
-
Who should share what?: Item-level social influence prediction for users and posts ranking
-
P. Cui, F. Wang, S. Liu, M. Ou, S. Yang, and L. Sun. Who should share what?: Item-level social influence prediction for users and posts ranking. In SIGIR, 2011.
-
(2011)
SIGIR
-
-
Cui, P.1
Wang, F.2
Liu, S.3
Ou, M.4
Yang, S.5
Sun, L.6
-
6
-
-
84893458302
-
gscorr: Modeling geo-social correlations for new check-ins on location-based social networks
-
H. Gao, J. Tang, and H. Liu. gscorr: Modeling geo-social correlations for new check-ins on location-based social networks. In CIKM, 2012.
-
(2012)
CIKM
-
-
Gao, H.1
Tang, J.2
Liu, H.3
-
7
-
-
80052668032
-
Large-scale matrix factorization with distributed stochastic gradient descent
-
R. Gemulla, E. Nijkamp, P. J. Haas, and Y. Sismanis. Large-scale matrix factorization with distributed stochastic gradient descent. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Gemulla, R.1
Nijkamp, E.2
Haas, P.J.3
Sismanis, Y.4
-
8
-
-
84866052908
-
Recmax: Exploiting recommender systems for fun and profit
-
A. Goyal and L. V. S. Lakshmanan. Recmax: Exploiting recommender systems for fun and profit. In SIGKDD, 2012.
-
(2012)
SIGKDD
-
-
Goyal, A.1
Lakshmanan, L.V.S.2
-
9
-
-
72249114912
-
Personalized recommendation of social software items based on social relations
-
I. Guy, N. Zwerdling, D. Carmel, I. Ronen, E. Uziel, S. Yogev, and S. Ofek-Koifman. Personalized recommendation of social software items based on social relations. In RecSys, 2009.
-
(2009)
RecSys
-
-
Guy, I.1
Zwerdling, N.2
Carmel, D.3
Ronen, I.4
Uziel, E.5
Yogev, S.6
Ofek-Koifman, S.7
-
11
-
-
70350656351
-
TrustWalker: A random walk model for combining trust-based and item-based recommendation
-
M. Jamali and M. Ester. TrustWalker: A random walk model for combining trust-based and item-based recommendation. In SIGKDD, 2009.
-
(2009)
SIGKDD
-
-
Jamali, M.1
Ester, M.2
-
12
-
-
72449160235
-
On social networks and collaborative recommendation
-
I. Konstas, V. Stathopoulos, and J. M. Jose. On social networks and collaborative recommendation. In SIGIR, 2009.
-
(2009)
SIGIR
-
-
Konstas, I.1
Stathopoulos, V.2
Jose, J.M.3
-
13
-
-
80052112678
-
Clr: A collaborative location recommendation framework based on co-clustering
-
K. W.-T. Leung, D. L. Lee, and W.-C. Lee. Clr: A collaborative location recommendation framework based on co-clustering. In SIGIR, 2011.
-
(2011)
SIGIR
-
-
Leung, K.W.-T.1
Lee, D.L.2
Lee, W.-C.3
-
15
-
-
72249094128
-
Learning to recommend with social trust ensemble
-
H. Ma, I. King, and M. R. Lyu. Learning to recommend with social trust ensemble. In SIGIR, 2009.
-
(2009)
SIGIR
-
-
Ma, H.1
King, I.2
Lyu, M.R.3
-
16
-
-
80051490270
-
Improving recommender systems by incorporating social contextual information
-
H. Ma, T. C. Zhou, M. R. Lyu, and I. King. Improving recommender systems by incorporating social contextual information. ACM TOIS, 29(2):9:1-9:23, 2011.
-
(2011)
ACM TOIS
, vol.29
, Issue.2
-
-
Ma, H.1
Zhou, T.C.2
Lyu, M.R.3
King, I.4
-
17
-
-
3843049042
-
Pocketlens: Toward a personal recommender system
-
B. Miller, J. Konstan, L. Terveen, and J. Riedl. Pocketlens: Toward a personal recommender system. ACM TOIS, 22(3):437-476, 2004.
-
(2004)
ACM TOIS
, vol.22
, Issue.3
, pp. 437-476
-
-
Miller, B.1
Konstan, J.2
Terveen, L.3
Riedl, J.4
-
18
-
-
0035510303
-
Personalization and privacy
-
J. Riedl. Personalization and privacy. IEEE Internet Computing, 5(6):29-31, 2001.
-
(2001)
IEEE Internet Computing
, vol.5
, Issue.6
, pp. 29-31
-
-
Riedl, J.1
-
19
-
-
0038003568
-
Item-based collaborative filtering recommendation algorithms
-
B. Sarwar, G. Kapypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In WWW, 2001.
-
(2001)
WWW
-
-
Sarwar, B.1
Kapypis, G.2
Konstan, J.3
Riedl, J.4
-
20
-
-
84866019508
-
Learning personal + social latent factor model for social recommendation
-
Y. Shen and R. Jin. Learning personal + social latent factor model for social recommendation. In SIGKDD, 2012.
-
(2012)
SIGKDD
-
-
Shen, Y.1
Jin, R.2
-
22
-
-
80052396145
-
Like like alike: Joint friendship and interest propagation in social networks
-
S.-H. Yang, B. Long, A. Smola, N. Sadagopan, Z. Zheng, and H. Zha. Like like alike: Joint friendship and interest propagation in social networks. In WWW, 2011.
-
(2011)
WWW
-
-
Yang, S.-H.1
Long, B.2
Smola, A.3
Sadagopan, N.4
Zheng, Z.5
Zha, H.6
-
23
-
-
84866046089
-
Circle-based recommendation in online social networks
-
X. Yang, H. Steck, and Y. Liu. Circle-based recommendation in online social networks. In SIGKDD, 2012.
-
(2012)
SIGKDD
-
-
Yang, X.1
Steck, H.2
Liu, Y.3
-
24
-
-
78650589837
-
Location recommendation for location-based social networks
-
M. Ye, P. Yin, and W.-C. Lee. Location recommendation for location-based social networks. In SIGSPATIAL, 2010.
-
(2010)
SIGSPATIAL
-
-
Ye, M.1
Yin, P.2
Lee, W.-C.3
-
25
-
-
80052134524
-
Exploiting geographical influence for collaborative point-of-interest recommendation
-
M. Ye, P. Yin, W.-C. Lee, and D.-L. Lee. Exploiting geographical influence for collaborative point-of-interest recommendation. In SIGIR, 2011.
-
(2011)
SIGIR
-
-
Ye, M.1
Yin, P.2
Lee, W.-C.3
Lee, D.-L.4
-
26
-
-
84893487331
-
Urban point-of-interest recommendation by mining user check-in behaviors
-
J. J.-C. Ying, E. H.-C. Lu, W.-N. Kuo, and V. S. Tseng. Urban point-of-interest recommendation by mining user check-in behaviors. In UrbComp, 2012.
-
(2012)
UrbComp
-
-
Ying, J.J.-C.1
Lu, E.H.-C.2
Kuo, W.-N.3
Tseng, V.S.4
-
27
-
-
80054083224
-
Collaborative filtering meets mobile recommendation: A user-centered approach
-
V. W. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang. Collaborative filtering meets mobile recommendation: A user-centered approach. In AAAI, 2010.
-
(2010)
AAAI
-
-
Zheng, V.W.1
Cao, B.2
Zheng, Y.3
Xie, X.4
Yang, Q.5
-
28
-
-
77954577189
-
Collaborative location and activity recommendations with gps history data
-
V. W. Zheng, Y. Zheng, X. Xie, and Q. Yang. Collaborative location and activity recommendations with gps history data. In WWW, 2010.
-
(2010)
WWW
-
-
Zheng, V.W.1
Zheng, Y.2
Xie, X.3
Yang, Q.4
-
29
-
-
84862792169
-
Towards mobile intelligence: Learning from gps history data for collaborative recommendation
-
V. W. Zheng, Y. Zheng, X. Xie, and Q. Yang. Towards mobile intelligence: Learning from gps history data for collaborative recommendation. Artificial Intelligence, 184-185(0):17-37, 2012.
-
(2012)
Artificial Intelligence
, vol.184-185
, Issue.0
, pp. 17-37
-
-
Zheng, V.W.1
Zheng, Y.2
Xie, X.3
Yang, Q.4
-
30
-
-
78650617680
-
Recommending friends and locations based on individual location history
-
Y. Zheng, L. Zhang, Z. Ma, X. Xie, and W.-Y. Ma. Recommending friends and locations based on individual location history. ACM TWEB, 5(1):5:1-5:44, 2011.
-
(2011)
ACM TWEB
, vol.5
, Issue.1
-
-
Zheng, Y.1
Zhang, L.2
Ma, Z.3
Xie, X.4
Ma, W.-Y.5
|