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The flexible integration of inference algorithm based on users' preference
Wang Y.1; Bu H.1; Qiu Y.1
2011-10-06
Conference Name2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
Source PublicationProceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
Volume5
Pages2671-2674
Conference Date12 August 2011 to 14 August 2011
Conference PlaceHarbin, Heilongjiang, China
Abstract

The core problem with the current personalized recommendation system is incomplete description of users' preference. Different from the commonly-used methods in which the system enquires users to inform users' preference, this paper proposes a method that is flexible integration of inference from semantic information of noumenon. Through inference it will effectively improve the users' preference data. Experimental results show the effectiveness and feasibility of the method. © 2011 IEEE.

KeywordAi Personalization The Flexible Integration Of Inference Users' Preference
DOI10.1109/EMEIT.2011.6023646
URLView the original
Language英語English
Scopus ID2-s2.0-80053388499
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Wuhan University
2.Wuhan University of Science and Technology
Recommended Citation
GB/T 7714
Wang Y.,Bu H.,Qiu Y.. The flexible integration of inference algorithm based on users' preference[C], 2011, 2671-2674.
APA Wang Y.., Bu H.., & Qiu Y. (2011). The flexible integration of inference algorithm based on users' preference. Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, 5, 2671-2674.
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