-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the stateof- The-art and possible extensions
-
Adomavicius, G. and Tuzhilin, A. 2005. Toward the Next Generation of Recommender Systems: A Survey of the Stateof- The-Art and Possible Extensions, IEEE Trans. Knowl. Data Eng, 17 (6), 2005, pp. 734-749.
-
(2005)
IEEE Trans. Knowl. Data Eng
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
4
-
-
48949103145
-
Designing specific weighted similarity measures to improve collaborative filtering systems
-
Candillier, L., Meyer, F., Fessant, F. 2008. Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems. ICDM 2008: 242-255.
-
(2008)
ICDM 2008
, pp. 242-255
-
-
Candillier, L.1
Meyer, F.2
Fessant, F.3
-
5
-
-
78649914423
-
Performance of recommender algorithms on top-n recommender tasks
-
Cremonesi, P., Koren, Y., and Turrin, R. 2010. Performance of recommender algorithms on Top-N recommender tasks. RecSys 2010.
-
(2010)
RecSys 2010
-
-
Cremonesi, P.1
Koren, Y.2
Turrin, R.3
-
6
-
-
3042821101
-
Item-based top-n recommendation algorithms
-
Deshpande, M., and Karypis, G. 2004. Item-based top-N recommendation algorithms. In ACM Transactions on Information Systems, 22(1), 143-177.
-
(2004)
ACM Transactions on Information Systems
, vol.22
, Issue.1
, pp. 143-177
-
-
Deshpande, M.1
Karypis, G.2
-
7
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
Herlocker, J. L., Konstan, J. A., Terveen, L.G. and Riedl, J. 2004. Evaluating collaborative filtering recommender systems. In ACM Transactions on Information Systems 22 (1), 5-53.
-
(2004)
ACM Transactions on Information Systems
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.L.1
Konstan, J.A.2
Terveen, L.G.3
Riedl, J.4
-
8
-
-
82555191342
-
A pragmatic procedure to support the user-centric evaluation of recommender systems
-
Knijnenburg, B. P., Willemsen, M.C., Kobsa, A. 2011: A pragmatic procedure to support the user-centric evaluation of recommender systems.RECSYS 2011, 321-324.
-
(2011)
RECSYS 2011
, pp. 321-324
-
-
Knijnenburg, B.P.1
Willemsen, M.C.2
Kobsa, A.3
-
9
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
2003
-
Linden, G., Smith, .B, and York, J. 2003. Amazon.com Recommendations: Item-to-Item Collaborative Filtering. IEEE Internet Computing, 7 (1), 2003, pp. 76-80.
-
(2003)
IEEE Internet Computing
, vol.7
, Issue.1
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
10
-
-
84891925508
-
Recommender systems in industrial contexts
-
Meyer, F. 2012. Recommender systems in industrial contexts. ArXiv e-prints. http://arxiv.org/abs/1203.4487.
-
(2012)
ArXiv E-prints
-
-
Meyer, F.1
-
15
-
-
64149121935
-
Scalable collaborative filtering approaches for large recommender systems
-
2009
-
Takács, G., Pilászy, I., Németh, B., Tikk, D. 2009. Scalable Collaborative Filtering Approaches for Large Recommender Systems. Journal of Machine Learning Research 10: 623-656 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 623-656
-
-
Takács, G.1
Pilászy, I.2
Németh, B.3
Tikk, D.4
|