Mobile Internet based personalized literature recommendation system
Wen Yi · Journal of Computer Applications · 2013
To meet the needs of reading literature conveniently,efficiency and personally,a Mobile Internet based Personalized Literature Recommendation(MIPLR) system was proposed.The architecture of the system as well as the function of each module was expounded.To support retrieving content automatically by large volume of users,a receiver intent based sender push model was implemented.A vertical search engine for literature was constructed for literature acquisition.For recommending suitable literature resources to user,this system used Vector Space Model(VSM) to represent literature resources and user model and dynamically updated user model according to user behavior.The experimental results show that this system can improve user literature retrieval efficiency and increase the accuracy of the literature recommendation.MIPLR can automatically provide users with literature resources and saves users' immense amounts of time.