The flexible integration of inference algorithm based on users' preference
Ying Wang, Hao Bu, Yimin Qiu · 2011
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.