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1
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3042821101
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Item-Based Top-N Recommendation Algorithms, MUKUND DESHPANDE and GEORGE KARYPIS
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January
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Item-Based Top-N Recommendation Algorithms, MUKUND DESHPANDE and GEORGE KARYPIS, ACM Transactions on Information Systems, Vol. 22, No. 1, January 2004, Pages 143-177.
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(2004)
ACM Transactions on Information Systems
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2
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38049088759
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DENG Ai-Lin, ZHU Yang-Yong, SHI Bai-Le. A Collaborative Filtering Recomm endation Algorithm Based on Item Rating Prediction. Journal of Software, 1000. 9825/2003/14(09)162
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DENG Ai-Lin, ZHU Yang-Yong, SHI Bai-Le. A Collaborative Filtering Recomm endation Algorithm Based on Item Rating Prediction. Journal of Software, 1000. 9825/2003/14(09)162
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3
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38049057125
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Improving Recommendation Lists Through Topic Diversification, CaiNicolas Ziegler,Sean M. McNee,Joseph A. Konstan,Georg Lausen, WWW 2005, May 1014,2005, Chiba, Japan
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Improving Recommendation Lists Through Topic Diversification, CaiNicolas Ziegler,Sean M. McNee,Joseph A. Konstan,Georg Lausen, WWW 2005, May 1014,2005, Chiba, Japan
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4
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3242713086
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Context boosting collaborative recommendations, Conor Hayes, Pa'draig Cunningham
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Context boosting collaborative recommendations, Conor Hayes, Pa'draig Cunningham, Knowledge-Based Systems 17 (2004) 131-138
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(2004)
Knowledge-Based Systems
, vol.17
, pp. 131-138
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5
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38048999465
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Enhancing Collaborative Filtering with Demographic Data: The case of Item-based Filtering, Manolis Vozalis and Konstantinos G. Margaritis,the fourth International Conference of Intelligent Systems Design and Applications (ISDA04)
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Enhancing Collaborative Filtering with Demographic Data: The case of Item-based Filtering, Manolis Vozalis and Konstantinos G. Margaritis,the fourth International Conference of Intelligent Systems Design and Applications (ISDA04)
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6
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38049029047
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Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion, Jun Wang, Arjen P. de Vries, Marcel J.T. Reinders1SIGIR'06, August 6-11, 2006, Seattle, Washington, USA
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Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion, Jun Wang, Arjen P. de Vries, Marcel J.T. Reinders1SIGIR'06, August 6-11, 2006, Seattle, Washington, USA
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7
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9244231155
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A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce,Yu li, Liu lu, Li xuefeng, Expert Systems with Applications 28 (2005) 67-77
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A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce,Yu li, Liu lu, Li xuefeng, Expert Systems with Applications 28 (2005) 67-77
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8
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38049054694
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Implementations of web-based Recommender Systems Using Hybrid Methods, Janusz Sobecki, International Journal of Computer Science & Applications 3 Issue 3, pp52-64
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Implementations of web-based Recommender Systems Using Hybrid Methods, Janusz Sobecki, International Journal of Computer Science & Applications vol.3 Issue 3, pp52-64
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9
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1442310758
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Feature-based recommendations for one-to-one marketing, Sung-Shun Weng, Mei-Ju Liu
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Feature-based recommendations for one-to-one marketing, Sung-Shun Weng, Mei-Ju Liu, Expert Systems with Applications 26 (2004) 493-508
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(2004)
Expert Systems with Applications
, vol.26
, pp. 493-508
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10
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38049009888
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Using Item Descriptors in Recommender Systems, Eliseo Reategui, John A. Campbell, Roberto Torres, American Association for Artificial Intelligence
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Using Item Descriptors in Recommender Systems, Eliseo Reategui, John A. Campbell, Roberto Torres, American Association for Artificial Intelligence
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11
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38049057755
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capturing evolving patterns for ontology-based web mining, yuefeng li,ning zhong, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)
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capturing evolving patterns for ontology-based web mining, yuefeng li,ning zhong, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)
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