Title :
The flexible integration of inference algorithm based on users´ preference
Author :
Ying Wang ; Hao Bu ; Yimin Qiu
Author_Institution :
Coll. of Comput., Wuhan Univ., Wuhan, 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.
Keywords :
Internet; human computer interaction; inference mechanisms; recommender systems; Internet; inference algorithm; personalized recommendation system; users preference; Databases; Educational institutions; Equations; Inference algorithms; Machine learning; Mathematical model; Semantics; AI; personalization; the flexible integration of inference; users´ preference;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023646
