-
1
-
-
84937563776
-
Diversity maximization under matroid constraints
-
Z. Abbassi, V. S. Mirrokni, and M. Thakur. Diversity maximization under matroid constraints. In KDD, pages 32-40, 2013.
-
(2013)
KDD
, pp. 32-40
-
-
Abbassi, Z.1
Mirrokni, V.S.2
Thakur, M.3
-
2
-
-
70349138027
-
Diversifying search results
-
R. Agrawal, S. Gollapudi, A. Halverson, and S. Ieong. Diversifying search results. In WSDM, pages 5-14, 2009.
-
(2009)
WSDM
, pp. 5-14
-
-
Agrawal, R.1
Gollapudi, S.2
Halverson, A.3
Ieong, S.4
-
3
-
-
85006764431
-
Text-based measures of document diversity
-
K. Bache, D. Newman, and P. Smyth. Text-based measures of document diversity. In KDD, pages 23-31, 2013.
-
(2013)
KDD
, pp. 23-31
-
-
Bache, K.1
Newman, D.2
Smyth, P.3
-
4
-
-
84866617207
-
Modeling the impact of short- and long-term behavior on search personalization
-
P. N. Bennett, R. W. White, W. Chu, S. T. Dumais, P. Bailey, F. Borisyuk, and X. Cui. Modeling the impact of short- and long-term behavior on search personalization. In SIGIR, pages 185-194, 2012.
-
(2012)
SIGIR
, pp. 185-194
-
-
Bennett, P.N.1
White, R.W.2
Chu, W.3
Dumais, S.T.4
Bailey, P.5
Borisyuk, F.6
Cui, X.7
-
7
-
-
79952257141
-
Multilingual topic models for unaligned text
-
J. Boyd-Graber and D. M. Blei. Multilingual topic models for unaligned text. In UAI, pages 75-82, 2009.
-
(2009)
UAI
, pp. 75-82
-
-
Boyd-Graber, J.1
Blei, D.M.2
-
8
-
-
0032270694
-
The use of MMR, diversity-based reranking for reordering documents and producing summaries
-
J. Carbonell and J. Goldstein. The use of MMR, diversity-based reranking for reordering documents and producing summaries. In SIGIR, pages 335-336, 1998.
-
(1998)
SIGIR
, pp. 335-336
-
-
Carbonell, J.1
Goldstein, J.2
-
9
-
-
33750364986
-
Less is more: Probabilistic models for retrieving fewer relevant documents
-
H. Chen and D. R. Karger. Less is more: probabilistic models for retrieving fewer relevant documents. In SIGIR, pages 429-436, 2006.
-
(2006)
SIGIR
, pp. 429-436
-
-
Chen, H.1
Karger, D.R.2
-
10
-
-
57349111122
-
Novelty and diversity in information retrieval evaluation
-
C. L. A. Clarke, M. Kolla, G. V. Cormack, O. Vechtomova, A. Ashkan, S. Büttcher, and I. MacKinnon. Novelty and diversity in information retrieval evaluation. In SIGIR, pages 659-666, 2008.
-
(2008)
SIGIR
, pp. 659-666
-
-
Clarke, C.L.A.1
Kolla, M.2
Cormack, G.V.3
Vechtomova, O.4
Ashkan, A.5
Büttcher, S.6
MacKinnon, I.7
-
12
-
-
84866605634
-
Diversity by proportionality: An election-based approach to search result diversification
-
V. Dang and W. B. Croft. Diversity by proportionality: An election-based approach to search result diversification. In SIGIR, pages 65-74, 2012.
-
(2012)
SIGIR
, pp. 65-74
-
-
Dang, V.1
Croft, W.B.2
-
13
-
-
84883098389
-
Term level search result diversification
-
V. Dang and W. B. Croft. Term level search result diversification. In SIGIR, pages 603-612, 2013.
-
(2013)
SIGIR
, pp. 603-612
-
-
Dang, V.1
Croft, W.B.2
-
14
-
-
84883130228
-
An unsupervised topic segmentation model incorporating word order
-
S. Jameel and W. Lam. An unsupervised topic segmentation model incorporating word order. In SIGIR, pages 203-212, 2013.
-
(2013)
SIGIR
, pp. 203-212
-
-
Jameel, S.1
Lam, W.2
-
15
-
-
0032614948
-
The budgeted maximum coverage problem
-
S. Khuller, A. Moss, and J. S. Naor. The budgeted maximum coverage problem. Inf. Proc. Lett., 70(1):39-45, 1999.
-
(1999)
Inf. Proc. Lett.
, vol.70
, Issue.1
, pp. 39-45
-
-
Khuller, S.1
Moss, A.2
Naor, J.S.3
-
17
-
-
84866608937
-
Personalization of search results using interaction behaviors in search sessions
-
C. Liu, N. J. Belkin, and M. J. Cole. Personalization of search results using interaction behaviors in search sessions. In SIGIR, 2012.
-
(2012)
SIGIR
-
-
Liu, C.1
Belkin, N.J.2
Cole, M.J.3
-
18
-
-
79951870792
-
The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem
-
J. S. Liu. The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem. J. Am. Stat. Assoc., 89(427):958-966, 1994.
-
(1994)
J. Am. Stat. Assoc.
, vol.89
, Issue.427
, pp. 958-966
-
-
Liu, J.S.1
-
19
-
-
33750340233
-
Improving personalized web search using result diversification
-
ACM
-
F. Radlinski and S. Dumais. Improving personalized web search using result diversification. In SIGIR, pages 691-692. ACM, 2006.
-
(2006)
SIGIR
, pp. 691-692
-
-
Radlinski, F.1
Dumais, S.2
-
20
-
-
0002532192
-
The TREC-9 filtering track final report
-
S. E. Robertson and D. A. Hull. The TREC-9 filtering track final report. In TREC, pages 25-40, 2000.
-
(2000)
TREC
, pp. 25-40
-
-
Robertson, S.E.1
Hull, D.A.2
-
21
-
-
77954606687
-
Exploiting query reformulations for web search result diversification
-
R. L. Santos, C. Macdonald, and I. Ounis. Exploiting query reformulations for web search result diversification. In WWW, pages 881-890, 2010.
-
(2010)
WWW
, pp. 881-890
-
-
Santos, R.L.1
Macdonald, C.2
Ounis, I.3
-
22
-
-
33745780139
-
Implicit user modeling for personalized search
-
ACM
-
X. Shen, B. Tan, and C. Zhai. Implicit user modeling for personalized search. In CIKM, pages 824-831. ACM, 2005.
-
(2005)
CIKM
, pp. 824-831
-
-
Shen, X.1
Tan, B.2
Zhai, C.3
-
23
-
-
84866632656
-
Adaptive diversification of recommendation results via latent factor portfolio
-
ACM
-
Y. Shi, X. Zhao, J. Wang, M. Larson, and A. Hanjalic. Adaptive diversification of recommendation results via latent factor portfolio. In SIGIR, pages 175-184. ACM, 2012.
-
(2012)
SIGIR
, pp. 175-184
-
-
Shi, Y.1
Zhao, X.2
Wang, J.3
Larson, M.4
Hanjalic, A.5
-
24
-
-
85017329626
-
One theme in all views: Modeling consensus topics in multiple contexts
-
J. Tang, M. Zhang, and Q. Mei. One theme in all views: Modeling consensus topics in multiple contexts. In KDD, pages 5-13, 2013.
-
(2013)
KDD
, pp. 5-13
-
-
Tang, J.1
Zhang, M.2
Mei, Q.3
-
25
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res., 6:1453-1484, 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
26
-
-
84866622937
-
Personalized diversification of search results
-
D. Vallet and P. Castells. Personalized diversification of search results. In SIGIR'12, 2012.
-
(2012)
SIGIR'12
-
-
Vallet, D.1
Castells, P.2
-
27
-
-
77952294849
-
Personalizing web search with folksonomy-based user and document profiles
-
Springer
-
D. Vallet, I. Cantador, and J. M. Jose. Personalizing web search with folksonomy-based user and document profiles. In ECIR, pages 420-431. Springer, 2010.
-
(2010)
ECIR
, pp. 420-431
-
-
Vallet, D.1
Cantador, I.2
Jose, J.M.3
-
28
-
-
84866621714
-
Explicit relevance models in intent-oriented information retrieval diversification
-
S. Vargas, P. Castells, and D. Vallet. Explicit relevance models in intent-oriented information retrieval diversification. In SIGIR, pages 75-84, 2012.
-
(2012)
SIGIR
, pp. 75-84
-
-
Vargas, S.1
Castells, P.2
Vallet, D.3
-
29
-
-
84883127964
-
Personalized ranking model adaptation for web search
-
H. Wang, X. He, M.-W. Chang, Y. Song, R. W. White, and W. Chu. Personalized ranking model adaptation for web search. In SIGIR, pages 323-332, 2013.
-
(2013)
SIGIR
, pp. 323-332
-
-
Wang, H.1
He, X.2
Chang, M.-W.3
Song, Y.4
White, R.W.5
Chu, W.6
-
30
-
-
33749565782
-
Topics over time: A non-markov continuous-time model of topical trends
-
X. Wang and A. McCallum. Topics over time: A non-markov continuous-time model of topical trends. In KDD, pages 424-433, 2006.
-
(2006)
KDD
, pp. 424-433
-
-
Wang, X.1
McCallum, A.2
-
31
-
-
84992119955
-
Who, where, when and what: Discover spatio-temporal topics for twitter users
-
Q. Yuan, G. Cong, Z. Ma, A. Sun, and N. M. Thalmann. Who, where, when and what: Discover spatio-temporal topics for twitter users. In KDD, pages 605-613, 2013.
-
(2013)
KDD
, pp. 605-613
-
-
Yuan, Q.1
Cong, G.2
Ma, Z.3
Sun, A.4
Thalmann, N.M.5
-
32
-
-
56449130129
-
Predicting diverse subsets using structural svms
-
ACM
-
Y. Yue and T. Joachims. Predicting diverse subsets using structural svms. In ICML, pages 1224-1231. ACM, 2008.
-
(2008)
ICML
, pp. 1224-1231
-
-
Yue, Y.1
Joachims, T.2
-
33
-
-
36448983903
-
A support vector method for optimizing average precision
-
ACM
-
Y. Yue, T. Finley, F. Radlinski, and T. Joachims. A support vector method for optimizing average precision. In SIGIR, pages 271-278. ACM, 2007.
-
(2007)
SIGIR
, pp. 271-278
-
-
Yue, Y.1
Finley, T.2
Radlinski, F.3
Joachims, T.4
-
34
-
-
0034788435
-
A study of smoothing methods for language models applied to ad hoc information retrieval
-
C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In SIGIR, pages 334-342, 2001.
-
(2001)
SIGIR
, pp. 334-342
-
-
Zhai, C.1
Lafferty, J.2
-
35
-
-
1542347826
-
Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval
-
C. Zhai, W. W. Cohen, and J. Lafferty. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In SIGIR, pages 10-17, 2003.
-
(2003)
SIGIR
, pp. 10-17
-
-
Zhai, C.1
Cohen, W.W.2
Lafferty, J.3
-
36
-
-
84872193462
-
Structured SVMs for automatic speech recognition
-
S.-X. Zhang and M. Gales. Structured SVMs for automatic speech recognition. IEEE Trans. on Audio, Speech, and Lang. Proc., 21(3):544-555, 2013.
-
(2013)
IEEE Trans. On Audio, Speech, and Lang. Proc.
, vol.21
, Issue.3
, pp. 544-555
-
-
Zhang, S.-X.1
Gales, M.2
-
37
-
-
84979594919
-
Scalable inference in max-margin topic models
-
J. Zhu, X. Zheng, L. Zhou, and B. Zhang. Scalable inference in max-margin topic models. In KDD, pages 964-972, 2013.
-
(2013)
KDD
, pp. 964-972
-
-
Zhu, J.1
Zheng, X.2
Zhou, L.3
Zhang, B.4
|