-
1
-
-
84887602753
-
Beyond rating prediction accuracy: On new perspectives in recommender systems
-
ACM
-
P. Adamopoulos. Beyond Rating Prediction Accuracy: On New Perspectives in Recommender Systems. In Proceedings of RecSys '13. ACM, 2013.
-
(2013)
Proceedings of RecSys '13
-
-
Adamopoulos, P.1
-
2
-
-
84940344047
-
What makes a great MOOC? An interdisciplinary analysis of online course student retention
-
P. Adamopoulos. What Makes a Great MOOC? An Interdisciplinary Analysis of Online Course Student Retention. In Proceedings of ICIS, 2013.
-
(2013)
Proceedings of ICIS
-
-
Adamopoulos, P.1
-
3
-
-
84887600017
-
On unexpectedness in recommender systems: Or how to expect the unexpected
-
ACM
-
P. Adamopoulos and A. Tuzhilin. On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. In DiveRS 2011, RecSys '11. ACM, 2011.
-
(2011)
DiveRS 2011 RecSys '11
-
-
Adamopoulos, P.1
Tuzhilin, A.2
-
4
-
-
84887591609
-
On unexpectedness in recommender systems: Or how to better expect the unexpected
-
New York University
-
P. Adamopoulos and A. Tuzhilin. On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. Working Paper: CBA-13-03, New York University, 2013. http://hdl.handle.net/2451/31801.
-
(2013)
Working Paper:CBA-13-03
-
-
Adamopoulos, P.1
Tuzhilin, A.2
-
5
-
-
84859702336
-
Improving aggregate recommendation diversity using ranking-based techniques
-
G. Adomavicius and Y. Kwon. Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. on Knowl. and Data Eng., 24(5):896 -911, 2012.
-
(2012)
IEEE Trans. on Knowl. and Data Eng
, vol.24
, Issue.5
, pp. 896-911
-
-
Adomavicius, G.1
Kwon, Y.2
-
6
-
-
20844435854
-
Toward the next generation of recommender systems: A Survey of the state-of-the-art and possible extensions
-
June
-
G. Adomavicius and A. Tuzhilin. Toward the next generation of Recommender Systems: A Survey of the state-of-the-art and possible extensions. IEEE Trans. on Knowl. and Data Eng., 17(6):734-749, June 2005.
-
(2005)
IEEE Trans. on Knowl. and Data Eng
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
7
-
-
0036959356
-
Hybrid recommender systems: Survey and experiments
-
R. Burke. Hybrid recommender systems: Survey and experiments. User Model. User-Adapt. Interact., 12(4), 2002.
-
(2002)
User Model. User-Adapt. Interact
, vol.12
, pp. 4
-
-
Burke, R.1
-
8
-
-
84887591181
-
-
New York, NY, USA, ACM
-
I. Cantador, P. Brusilovsky, and T. Kuflik. In Proceedings of HetRec 2011, RecSys '11, New York, NY, USA, 2011. ACM.
-
(2011)
Proceedings of HetRec 2011, RecSys '11
-
-
Cantador, I.1
Brusilovsky, P.2
Kuflik, T.3
-
10
-
-
84887598890
-
-
gmisclib, Scientific Library, 2013. http://kochanski.org/gpk/code/ speechresearch/gmisclib/.
-
(2013)
Scientific Library
-
-
-
11
-
-
84976668719
-
Using collaborative filtering to weave an information tapestry
-
D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992.
-
(1992)
Communications of the ACM
, vol.35
, Issue.12
, pp. 61-70
-
-
Goldberg, D.1
Nichols, D.2
Oki, B.M.3
Terry, D.4
-
12
-
-
3042829247
-
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
-
J. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Information retrieval, 5(4):287-310, 2002.
-
(2002)
Information Retrieval
, vol.5
, Issue.4
, pp. 287-310
-
-
Herlocker, J.1
Konstan, J.A.2
Riedl, J.3
-
13
-
-
84887591867
-
What recommenders recommend-an analysis of accuracy, popularity, and sales diversity effects
-
Springer
-
D. Jannach, L. Lerche, F. Gedikli, and G. Bonnin. What recommenders recommend-an analysis of accuracy, popularity, and sales diversity effects. In UMAP '13. Springer, 2013.
-
(2013)
UMAP '13
-
-
Jannach, D.1
Lerche, L.2
Gedikli, F.3
Bonnin, G.4
-
15
-
-
8644230345
-
An automatic weighting scheme for collaborative filtering
-
R. Jin, J. Y. Chai, and L. Si. An automatic weighting scheme for collaborative filtering. In Proceedings of SIGIR '04, 2004.
-
(2004)
Proceedings of SIGIR '04
-
-
Jin, R.1
Chai, J.Y.2
Si, L.3
-
18
-
-
36849052574
-
Analytics-driven solutions for customer targeting and sales-force allocation
-
R. Lawrence, C. Perlich, S. Rosset, J. Arroyo, Callahan, et al. Analytics-driven solutions for customer targeting and sales-force allocation. IBM Systems Journal, 46(4), 2007.
-
(2007)
IBM Systems Journal
, vol.46
, pp. 4
-
-
Lawrence, R.1
Perlich, C.2
Rosset, S.3
Arroyo Callahan, J.4
-
21
-
-
0018632276
-
User modeling via stereotypes
-
E. Rich. User modeling via stereotypes. Cognitive science, 3(4):329-354, 1979.
-
(1979)
Cognitive Science
, vol.3
, Issue.4
, pp. 329-354
-
-
Rich, E.1
-
22
-
-
77951128611
-
Improved neighborhood-based algorithms for large-scale recommender systems
-
ACM
-
A. Töscher, M. Jahrer, and R. Legenstein. Improved neighborhood-based algorithms for large-scale recommender systems. In Proceedings of Netflix '08. ACM, 2008.
-
(2008)
Proceedings of Netflix '08
-
-
Töscher, A.1
Jahrer, M.2
Legenstein, R.3
|