-
1
-
-
20444387298
-
-
Bharat and A. Broder. A technique for measuring the relative size and overlap of public web search engines. Comput. Netw. ISDN Syst., 30(1-7):379-388, 1998.
-
Bharat and A. Broder. A technique for measuring the relative size and overlap of public web search engines. Comput. Netw. ISDN Syst., 30(1-7):379-388, 1998.
-
-
-
-
2
-
-
33749567580
-
Empirical analysis of predictive algorithms for collaborative filtering
-
J Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI '98, pages 43-52, 1998.
-
(1998)
UAI '98
, pp. 43-52
-
-
Breese, J.1
Heckerman, D.2
Kadie, C.3
-
3
-
-
33750357681
-
You are what you say: Privacy risks of public mentions
-
D. Frankowski, D. Cosley, S. Sen, L. Terveen, and J. Riedl. You are what you say: Privacy risks of public mentions. In Special Interest Group on Information Retrieval (SIGIR), 2006.
-
(2006)
Special Interest Group on Information Retrieval (SIGIR)
-
-
Frankowski, D.1
Cosley, D.2
Sen, S.3
Terveen, L.4
Riedl, J.5
-
4
-
-
33745209469
-
Pulse: Mining customer opinions from free text
-
Springer Verlag
-
M.A. Gamon, S. Aue, S. Corston-Oliver, and E. Ringger. Pulse: Mining customer opinions from free text. In Lecture Notes in Computer Science, volume 3646, pages 121-132. Springer Verlag, 2005.
-
(2005)
Lecture Notes in Computer Science
, vol.3646
, pp. 121-132
-
-
Gamon, M.A.1
Aue, S.2
Corston-Oliver, S.3
Ringger, E.4
-
5
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5-53, 2004.
-
(2004)
ACM Trans. Inf. Syst
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.L.1
Konstan, J.A.2
Terveen, L.G.3
Riedl, J.T.4
-
6
-
-
0032478628
-
Searching the World Wide Web
-
S. Lawrence and C. L. Giles. Searching the World Wide Web. Science, 280(5360):98-100, 1998.
-
(1998)
Science
, vol.280
, Issue.5360
, pp. 98-100
-
-
Lawrence, S.1
Giles, C.L.2
-
7
-
-
59349114874
-
Opinion mining of customer feedback data on the web
-
D. Lee, O. Jeong, and S. Lee. Opinion mining of customer feedback data on the web. In ICUIMC '08, pages 230-235, 2008.
-
(2008)
ICUIMC '08
, pp. 230-235
-
-
Lee, D.1
Jeong, O.2
Lee, S.3
-
8
-
-
42149141236
-
A probabilistic model for item-based recommender systems
-
M. Li, B. Dias, W. El-Deredy, and P. J. G. Lisboa. A probabilistic model for item-based recommender systems. In RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems, pages 129-132, 2007.
-
(2007)
RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems
, pp. 129-132
-
-
Li, M.1
Dias, B.2
El-Deredy, W.3
Lisboa, P.J.G.4
-
9
-
-
34748825544
-
A sketch algorithm for estimating two-way and multi-way associations
-
P. Li and K. W. Church. A sketch algorithm for estimating two-way and multi-way associations. Computational Linguistics, 33(3):305-354, 2007.
-
(2007)
Computational Linguistics
, vol.33
, Issue.3
, pp. 305-354
-
-
Li, P.1
Church, K.W.2
-
10
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
G. Linden, B. Smith, and J. York. Amazon.com recommendations: item-to-item collaborative filtering. 7:76-80, 2003.
-
(2003)
, vol.7
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
11
-
-
36348984392
-
Robust estimation of google counts for social network extraction
-
Y. Matsuo, H. Tomobe, and T. Nishimura. Robust estimation of google counts for social network extraction. In AAAI, pages 1395-1401, 2007.
-
(2007)
AAAI
, pp. 1395-1401
-
-
Matsuo, Y.1
Tomobe, H.2
Nishimura, T.3
-
12
-
-
84869147060
-
Being accurate is not enough: How accuracy metrics have hurt recommender systems
-
S. M. McNee, J. Riedl, and J. A. Konstan. Being accurate is not enough: how accuracy metrics have hurt recommender systems. In CHI '06, pages 1097-1101, 2006.
-
(2006)
CHI '06
, pp. 1097-1101
-
-
McNee, S.M.1
Riedl, J.2
Konstan, J.A.3
-
13
-
-
0344519548
-
A taxonomy of recommender agents on the internet
-
M. Montaner, B. López, and J. L. De La Rosa. A taxonomy of recommender agents on the internet. Artificial Intelligence Review, 19(4):285-330, 2003.
-
(2003)
Artificial Intelligence Review
, vol.19
, Issue.4
, pp. 285-330
-
-
Montaner, M.1
López, B.2
De La Rosa, J.L.3
-
14
-
-
50249142450
-
Robust de-anonymization of large sparse datasets (how to break anonymity of the netflix prize dataset)
-
A. Narayanan and V. Shmatikov. Robust de-anonymization of large sparse datasets (how to break anonymity of the netflix prize dataset). In 29th IEEE Symposium on Security and Privacy, pages 111-125, 2008.
-
(2008)
29th IEEE Symposium on Security and Privacy
, pp. 111-125
-
-
Narayanan, A.1
Shmatikov, V.2
-
15
-
-
48349134259
-
Content-based recommendation systems
-
M. Pazzani and D. Billsus. Content-based recommendation systems. The Adaptive Web, 5:325-341, 2007.
-
(2007)
The Adaptive Web
, vol.5
, pp. 325-341
-
-
Pazzani, M.1
Billsus, D.2
-
16
-
-
80053270803
-
Extracting product features and opinions from reviews
-
[16] A. Popescu and O. Etzioni. Extracting product features and opinions from reviews. In HLT '05, pages 339-346, 2005.
-
(2005)
HLT '05
, pp. 339-346
-
-
Popescu, A.1
Etzioni, O.2
-
17
-
-
63449088489
-
-
B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Reidl. Application of dimensionality reduction in recommender system, a case study. Technical report
-
B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Reidl. Application of dimensionality reduction in recommender system - a case study. Technical report.
-
-
-
-
18
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In World Wide Web, pages 285-295, 2001.
-
(2001)
World Wide Web
, pp. 285-295
-
-
Sarwar, B.M.1
Karypis, G.2
Konstan, J.A.3
Reidl, J.4
-
21
-
-
63449118645
-
-
P. Viola and M. Narasimhand. Learning to extract information from semi-structured text using a discriminative context free grammar
-
P. Viola and M. Narasimhand. Learning to extract information from semi-structured text using a discriminative context free grammar.
-
-
-
-
22
-
-
33645657113
-
Improving recommendation lists through topic diversification
-
C. N. Ziegler, S. M. McNee, J. A. Konstan, and G. Lausen. Improving recommendation lists through topic diversification. In WWW '05, pages 22-32, 2005.
-
(2005)
WWW '05
, pp. 22-32
-
-
Ziegler, C.N.1
McNee, S.M.2
Konstan, J.A.3
Lausen, G.4
|