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Incorporating contextual information in recommender systems using a multidimensional approach
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Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, and Alexander Tuzhilin, 'Incorporating contextual information in recommender systems using a multidimensional approach', ACM Trans. Inf. Syst., 23(1), 103-145, (2005).
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Adomavicius, G.1
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Sen, S.3
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Contextual recommendation
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Sarabjot S. Anand and Bamshad Mobasher, 'Contextual recommendation', in WebMine, pp. 142-160, (2006).
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Predicting user experiences through cross-context reasoning
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Shlomo Berkovsky, Tsvi Kuflik, Lora Aroyo, Dominik Heckmann, Alexander Kröner, Francesco Ricci, and Geert-Jan Houben, 'Predicting user experiences through cross-context reasoning', in LWA, pp. 27-31, (2006).
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4
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78650132447
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Predicting most rated items in weekly recommendation with temporal regression
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ACM
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Antoine Brenner, Bruno Pradel, Nicolas Usunier, and Patrick Gallinari, 'Predicting most rated items in weekly recommendation with temporal regression', in Proc. of CAMRa'10. ACM, (2010).
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Brenner, A.1
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78650081280
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Simple time-biased knn-based recommendations
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ACM
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Pedro G. Campos, Alejandro Bellogín, Fernando Díez, and J. Enrique Chavarriaga, 'Simple time-biased knn-based recommendations', in Proc. of CAMRa'10. ACM, (2010).
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Campos, P.G.1
Bellogín, A.2
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Enrique Chavarriaga, J.4
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78650119198
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Movie recommendations based in explicit and implicit features extracted from the filmtipset dataset
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ACM
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Fernando Díez, Enrique Chavarriaga, Pedro G. Campos, and Alejandro Bellogín, 'Movie recommendations based in explicit and implicit features extracted from the filmtipset dataset', in Proc. of CAMRa'10. ACM, (2010).
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Díez, F.1
Chavarriaga, E.2
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Bellogín, A.4
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78650095201
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Factorization models for context-/time-aware movie recommendations
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ACM
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Zeno Gantner, Steffen Rendle, and Lars Schmidt-Thieme, 'Factorization models for context-/time-aware movie recommendations', in Proc. of CAMRa'10. ACM, (2010).
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Gantner, Z.1
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Evaluating collaborative filtering recommender systems
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Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, and John Riedl, 'Evaluating collaborative filtering recommender systems', ACM Trans. Inf. Syst., 22(1), 5-53, (2004).
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Herlocker, J.L.1
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Riedl, J.4
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9
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78650094668
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Incorporating social networks and user opinions for collaborative recommendation: Modified cf and local trust network based methods
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ACM
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Bin Liu and Zheng Yuan, 'Incorporating social networks and user opinions for collaborative recommendation: Modified cf and local trust network based methods', in Proc. of CAMRa'10. ACM, (2010).
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Bin, L.1
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10
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78650085404
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Adapting neighborhood and matrix factorization models for context aware recommendation
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ACM
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Nathan N. Liu, Bin Cao, Min Zhao, and Qiang Yang, 'Adapting neighborhood and matrix factorization models for context aware recommendation', in Proc. of CAMRa'10. ACM, (2010).
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Liu, N.N.1
Bin, C.2
Min, Z.3
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11
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78650162024
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Two complementary approaches to context aware movie recommendation
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ACM
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Hossein Rahmani, Beau Piccart, Daan Fierens, and Hendrik Blockeel, 'Two complementary approaches to context aware movie recommendation', in Proc. of CAMRa'10. ACM, (2010).
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Rahmani, H.1
Piccart, B.2
Fierens, D.3
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12
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84988231959
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How social relationships affect user similarities
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Alan Said, Ernesto W. De Luca, and Sahin Albayrak, 'How social relationships affect user similarities', in SRS Workshop, (2010).
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SRS Workshop
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Said, A.1
De Luca, E.W.2
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13
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78650115966
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Mining mood-specific movie similarity with matrix factorization for context-aware recommendation
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ACM
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Yue Shi, Martha Larson, and Alan Hanjalic, 'Mining mood-specific movie similarity with matrix factorization for context-aware recommendation', in Proc. of CAMRa'10. ACM, (2010).
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Yue, S.1
Larson, M.2
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14
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78650132446
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A new approach to mood-based hybrid collaborative filtering
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ACM
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Licai Wang, Xiangwu Meng, Yujie Zhang, and Yancui Shi, 'A new approach to mood-based hybrid collaborative filtering', in Proc. of CAMRa'10. ACM, (2010).
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Wang, L.1
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15
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78650147636
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A novel recommender system fusing the opinions from experts and ordinary people
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ACM
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Pei Wu, Weiping Liu, and Cihang Jin, 'A novel recommender system fusing the opinions from experts and ordinary people', in Proc. of CAMRa'10. ACM, (2010).
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Wu, P.1
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