-
1
-
-
80052659792
-
Scalable distributed inference of dynamic user interests for behavioral targeting
-
ACM
-
A. Ahmed, Y. Low, M. Aly, V. Josifovski, and A. J. Smola, Scalable distributed inference of dynamic user interests for behavioral targeting, KDD '11. ACM, 2011
-
(2011)
KDD '11
-
-
Ahmed, A.1
Low, Y.2
Aly, M.3
Josifovski, V.4
Smola, A.J.5
-
2
-
-
77950884255
-
Spatio-temporal models for estimating click-through rate
-
ACM
-
D. Agarwal, B.-C. Chen, and P. Elango. Spatio-Temporal Models for Estimating Click-through Rate, WWW '09. ACM, 2009
-
(2009)
WWW '09
-
-
Agarwal, D.1
Chen, B.-C.2
Elango, P.3
-
4
-
-
70449633093
-
A markov chain model for integrating behavioral targeting into contextual advertising
-
T. Li, N. Liu, J. Yan, G. Wang, F. Bai, and Z. Chen, A Markov Chain Model for Integrating Behavioral Targeting into Contextual Advertising, ADKDD '09. 2009
-
(2009)
ADKDD '09
-
-
Li, T.1
Liu, N.2
Yan, J.3
Wang, G.4
Bai, F.5
Chen, Z.6
-
5
-
-
21844507978
-
-
Part 2 of 2: Special Issue on Empirical Generalizations in Marketing 1995
-
M. Uncles, A. Ehrenberg, and K. Hammond, Patterns of Buyer Behavior: Regularities, Models, and Extensions, Marketing Science, Vol. 14, No. 3, Part 2 of 2: Special Issue on Empirical Generalizations in Marketing (1995), pp. G71-G78. 1995
-
(1995)
Patterns of Buyer Behavior: Regularities, Models, and Extensions, Marketing Science
, vol.14
, Issue.3
, pp. G71-G78
-
-
Uncles, M.1
Ehrenberg, A.2
Hammond, K.3
-
6
-
-
2342633868
-
Capturing evolving visit behavior in clickstream data
-
W. W. Moe, and P. S. Fader, Capturing evolving visit behavior in clickstream data, J. Interactive Mark. 2004
-
(2004)
J. Interactive Mark
-
-
Moe, W.W.1
Fader, P.S.2
-
7
-
-
33747172362
-
Maximizing the spread of influence through a social network
-
ACM
-
D. Kempe, J. Kleinberg, and E. Tardos, Maximizing the spread of influence through a social network, KDD '03. ACM, 2003
-
(2003)
KDD '03
-
-
Kempe, D.1
Kleinberg, J.2
Tardos, E.3
-
8
-
-
0141607824
-
Latent dirichlet allocation
-
March
-
D.M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet allocation, J. Mach. Learn. Res. 3 (March 2003), 993-1022
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
10
-
-
84960144657
-
Review sentiment scoring via a parse-and-paraphrase paradigm
-
K. Dave, S. Lawrence, and D. M. Pennock, Review sentiment scoring via a parse-and-paraphrase paradigm, WWW '03. 2003
-
(2003)
WWW '03
-
-
Dave, K.1
Lawrence, S.2
Pennock, D.M.3
-
11
-
-
84960144658
-
-
http://edgerank.net/
-
-
-
-
13
-
-
33749563073
-
Training linear SVMs in linear time
-
T. Joachims, Training Linear SVMs in Linear Time, KDD '06. 2006
-
(2006)
KDD '06
-
-
Joachims, T.1
-
14
-
-
85026972772
-
Probabilistic latent semantic indexing
-
T. Hofmann, Probabilistic Latent Semantic Indexing, SIGIR '99. 1999
-
(1999)
SIGIR '99
-
-
Hofmann, T.1
-
15
-
-
0014599202
-
Maximum likelihood estimation of the parameters of the gamma distribution and their bias
-
Nov.
-
S. C. Choi, and R. Wette, Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias, Technometrics , Vol. 11, No. 4 (Nov., 1969), pp. 683-690
-
(1969)
Technometrics
, vol.11
, Issue.4
, pp. 683-690
-
-
Choi, S.C.1
Wette, R.2
-
16
-
-
83055179252
-
Attention prediction on social media brand pages
-
H. Lakkaraju, and J. Ajmera, Attention Prediction on Social Media Brand Pages, CIKM '11. 2011
-
(2011)
CIKM '11
-
-
Lakkaraju, H.1
Ajmera, J.2
-
17
-
-
84874258367
-
Exploiting social relations for sentiment analysis in microblogging
-
X. Hu, L. Tang, J. Tang, and H. Liu Exploiting Social Relations for Sentiment Analysis in Microblogging, WSDM '13. 2013
-
(2013)
WSDM '13
-
-
Hu, X.1
Tang, L.2
Tang, J.3
Liu, H.4
-
18
-
-
50249088861
-
Using sentiwordnet from multilingual sentiment analysis
-
K. Denecke, Using sentiwordnet from multilingual sentiment analysis, ICDE '08. 2008
-
(2008)
ICDE '08
-
-
Denecke, K.1
-
19
-
-
77954619079
-
Using a model of social dynamics to predict popularity of news
-
K. Lerman, and T. Hogg, Using a model of social dynamics to predict popularity of news, WWW '10. 2010
-
(2010)
WWW '10
-
-
Lerman, K.1
Hogg, T.2
-
20
-
-
70350684903
-
Granular data for behavioral targeting
-
U.S. Patent Application
-
J. Canny, S. Zhong, S. Gaffiney, C. Brower, P. Berkhin, and G. H. John, Granular data for behavioral targeting, U.S. Patent Application 20090006363
-
-
-
Canny, J.1
Zhong, S.2
Gaffiney, S.3
Brower, C.4
Berkhin, P.5
John, G.H.6
-
21
-
-
84960144660
-
-
http://techcrunch.com/2012/10/09/forrester-usonline-display-ad-spend-to-hit-12-7b-in-2012-richmedia-video-leading-the-charge/
-
-
-
-
22
-
-
74549114844
-
Exploiting internal and external semantics for the clustering of short texts using world knowledge
-
X. Hu, N. Sun, C. Zhang, and T.-S. Chua, Exploiting internal and external semantics for the clustering of short texts using world knowledge, CIKM '09. 2009
-
(2009)
CIKM '09
-
-
Hu, X.1
Sun, N.2
Zhang, C.3
Chua, T.-S.4
-
23
-
-
84865656170
-
How much can behavioral targeting help online advertising?
-
J. Yan, N. Liu, G. Wang, W. Zhang, Y. Jiang, and Z. Chen How much can Behavioral Targeting Help Online Advertising?, WWW '09. 2009
-
(2009)
WWW '09
-
-
Yan, J.1
Liu, N.2
Wang, G.3
Zhang, W.4
Jiang, Y.5
Chen, Z.6
-
24
-
-
84960144661
-
Probabilistic marco behavioral targeting
-
October
-
Y. Xie, Y. Gao, J. Gou, Y. Cheng, D. Honbo, K. Zhang, A. Agrawal, and A. Choudhary, Probabilistic Marco Behavioral Targeting, CIKM DUBMMSM workshop. October 2012
-
(2012)
CIKM DUBMMSM Workshop
-
-
Xie, Y.1
Gao, Y.2
Gou, J.3
Cheng, Y.4
Honbo, D.5
Zhang, K.6
Agrawal, A.7
Choudhary, A.8
|