-
1
-
-
77956196510
-
Community-based greedy algorithm for mining top-k influential nodes in mobile social networks
-
Y. Wang, G. Cong, G. Song, and K. Xie, "Community-based greedy algorithm for mining top-k influential nodes in mobile social networks," in KDD, Washington, DC, 2010, pp. 1039-1048.
-
KDD, Washington, DC, 2010
, pp. 1039-1048
-
-
Wang, Y.1
Cong, G.2
Song, G.3
Xie, K.4
-
2
-
-
33750335820
-
Tractable models for information diffusion in social networks
-
PKDD
-
M. Kimura and K. Saito, "Tractable models for information diffusion in social networks," in PKDD, LNAI 4213, 2006, pp. 259-271.
-
(2006)
LNAI
, vol.4213
, pp. 259-271
-
-
Kimura, M.1
Saito, K.2
-
3
-
-
67650323503
-
Mining social networks using heat diffusion processes for marketing candidates selection
-
H. Ma, H. Yang, M. R. Lyu, and I. King, "Mining social networks using heat diffusion processes for marketing candidates selection," in Proceeding of the 17th ACM conference on Information and knowledge management (CIKM), Napa Valley, CA, 2008, pp. 233-242.
-
Proceeding of the 17th ACM Conference on Information and Knowledge Management (CIKM), Napa Valley, CA, 2008
, pp. 233-242
-
-
Ma, H.1
Yang, H.2
Lyu, M.R.3
King, I.4
-
4
-
-
57349187579
-
Optimal marketing strategies over social networks
-
J. Hartline, V. S. Mirrokni, and M. Sundararajan, "Optimal marketing strategies over social networks," in WWW, Beijing, China, 2008, pp. 189-198.
-
WWW, Beijing, China, 2008
, pp. 189-198
-
-
Hartline, J.1
Mirrokni, V.S.2
Sundararajan, M.3
-
5
-
-
36849083014
-
Cost-effective outbreak detection in networks
-
J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. Van- Briesen, and N. Glance, "Cost-effective outbreak detection in networks," in Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), San Jose, CA, 2007, pp. 420-429.
-
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose, CA, 2007
, pp. 420-429
-
-
Leskovec, J.1
Krause, A.2
Guestrin, C.3
Faloutsos, C.4
Van- Briesen, J.5
Glance, N.6
-
6
-
-
33747172362
-
Maximizing the spread of influence through a social network
-
D. Kempe, J. Kleinberg, and E. Tardos, "Maximizing the spread of influence through a social network," in Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), Washington, D.C., 2003, pp. 137-146.
-
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington, D.C., 2003
, pp. 137-146
-
-
Kempe, D.1
Kleinberg, J.2
Tardos, E.3
-
7
-
-
70350643635
-
Efficient influence maximization in social networks
-
W. Chen, Y. Wang, and S. Yang, "Efficient influence maximization in social networks," in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), Paris, France, 2009, pp. 199-208.
-
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Paris, France, 2009
, pp. 199-208
-
-
Chen, W.1
Wang, Y.2
Yang, S.3
-
8
-
-
70549111711
-
Learning continuous-time information diffusion model for social behavioral data analysis
-
K. Saito, M. Kimura, K. Ohara, and H. Motoda, "Learning continuous-time information diffusion model for social behavioral data analysis," in Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning (ACML), Nanjing, China, 2009, pp. 322-337.
-
Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning (ACML), Nanjing, China, 2009
, pp. 322-337
-
-
Saito, K.1
Kimura, M.2
Ohara, K.3
Motoda, H.4
-
9
-
-
78650368367
-
Behavioral analyses of information diffusion models by observed data of social network
-
K. Saito, M. Kimura, K. Ohara, and H. Motoda, "Behavioral analyses of information diffusion models by observed data of social network," in Proceedings of the 2010 International Conference on Social Computing, Behavioral Modeling, Advances in Social Computing Prediction (SBP10), Mar. 2010, pp. 149-158.
-
Proceedings of the 2010 International Conference on Social Computing, Behavioral Modeling, Advances in Social Computing Prediction (SBP10), Mar. 2010
, pp. 149-158
-
-
Saito, K.1
Kimura, M.2
Ohara, K.3
Motoda, H.4
-
10
-
-
70350639694
-
Social influence analysis in large-scale networks
-
J. Tang, J. Sun, C. Wang, and Z. Yang, "Social influence analysis in large-scale networks," in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), Paris, France, 2009, pp. 807-816.
-
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Paris, France, 2009
, pp. 807-816
-
-
Tang, J.1
Sun, J.2
Wang, C.3
Yang, Z.4
-
11
-
-
84989525001
-
Indexing by latent semantic analysis
-
S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman, "Indexing by latent semantic analysis," Journal of the American society for information science, vol. 41, no. 6, pp. 391-407, 1990.
-
(1990)
Journal of the American Society for Information Science
, vol.41
, Issue.6
, pp. 391-407
-
-
Deerwester, S.1
Dumais, S.2
Furnas, G.3
Landauer, T.4
Harshman, R.5
-
12
-
-
0021440227
-
SVD REPRESENTATION OF UNITARILY INVARIANT MATRICES.
-
J. Cadzow, "SVD representation of unitarily invariant matrices,"IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 32, no. 3, pp. 512-516, 1984. (Pubitemid 14604234)
-
(1984)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.ASSP-32
, Issue.3
, pp. 512-516
-
-
Cadzow, J.A.1
-
14
-
-
34848865085
-
Location of bank accounts to optimize float
-
G. Cornuejols, M. Fisher, and G. Nemhauser, "Location of bank accounts to optimize float," Management Science, vol. 23, 1977.
-
(1977)
Management Science
, vol.23
-
-
Cornuejols, G.1
Fisher, M.2
Nemhauser, G.3
-
15
-
-
0000095809
-
An analysis of the approximations for maximizing submodular set functions
-
G. Nemhauser, L. Wolsey, and M. Fisher, "An analysis of the approximations for maximizing submodular set functions," in Mathematical Programming, vol. 14, 1978, pp. 265-294.
-
(1978)
Mathematical Programming
, vol.14
, pp. 265-294
-
-
Nemhauser, G.1
Wolsey, L.2
Fisher, M.3
-
17
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, "Item-based collaborative filtering recommendation algorithms," in WWW '01, Hong Kong, Hong Kong, 2001, pp. 285-295.
-
WWW '01, Hong Kong, Hong Kong, 2001
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Reidl, J.4
-
18
-
-
0035789667
-
Mining the network value of customers
-
P. Domingos and M. Richardson, "Mining the network value of customers," in Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), San Francisco, CA, 2001, pp. 57-66.
-
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Francisco, CA, 2001
, pp. 57-66
-
-
Domingos, P.1
Richardson, M.2
-
19
-
-
0242456823
-
Mining knowledge-sharing sites for viral marketing
-
M. Richardson and P. Domingos, "Mining knowledge-sharing sites for viral marketing," in Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), Edmonton, Alberta, Canada, 2002, pp. 61-70.
-
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Edmonton, Alberta, Canada, 2002
, pp. 61-70
-
-
Richardson, M.1
Domingos, P.2
-
20
-
-
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, 2005, pp. 114-121.
-
(2005)
SIGIR '05
, pp. 114-121
-
-
Xue, G.-R.1
Lin, C.2
Yang, Q.3
Xi, W.4
Zeng, H.-J.5
Yu, Y.6
Chen, Z.7
-
21
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
ACM Press
-
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. ACM Press, 2006, pp. 501-508.
-
(2006)
SIGIR '06
, pp. 501-508
-
-
Wang, J.1
De Vries, A.P.2
Reinders, M.J.T.3
-
22
-
-
77951495272
-
An efficient collaborative filtering approach using smoothing and fusing
-
D. Zhang, J. Cao, J. Zhou, M. Guo, and V. Raychoudhury, "An efficient collaborative filtering approach using smoothing and fusing," in Proceedings of the 2009 International Conference on Parallel Processing (ICPP), 2009, pp. 558-565.
-
Proceedings of the 2009 International Conference on Parallel Processing (ICPP), 2009
, pp. 558-565
-
-
Zhang, D.1
Cao, J.2
Zhou, J.3
Guo, M.4
Raychoudhury, V.5
-
23
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
Jan/Feb
-
G. Linden, B. Smith, and J. York, "Amazon.com recommendations: item-to-item collaborative filtering," Internet Computing, IEEE, vol. 7, no. 1, pp. 76-80, Jan/Feb 2003.
-
(2003)
Internet Computing, IEEE
, vol.7
, Issue.1
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
24
-
-
0038547942
-
Recommender Systems Using Linear Classifiers
-
DOI 10.1162/153244302760200641
-
T. Zhang and V. S. Iyengar, "Recommender systems using linear classifiers," J. Machine Learning Research, vol. 2, pp. 313-334, 2002. (Pubitemid 135712564)
-
(2002)
Journal of Machine Learning Research
, vol.2
, Issue.3
, pp. 313-334
-
-
Zhang, T.1
Iyengar, V.S.2
-
25
-
-
36448969351
-
Efficient bayesian hierarchical user modeling for recommendation system
-
New York, NY, USA: ACM
-
Y. Zhang and J. Koren, "Efficient bayesian hierarchical user modeling for recommendation system," in SIGIR '07. New York, NY, USA: ACM, 2007, pp. 47-54.
-
(2007)
SIGIR '07
, pp. 47-54
-
-
Zhang, Y.1
Koren, J.2
|