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Adaptive Recommendation Algorithm Based on the Bayesian-Network

  • Jianqiong Xiao
  • Jiangjin Gao
  • Guoqin Song
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 206)

Abstract

Recommendation service could provided recommended project resources for interested preference to network users, has now been maturely used to site navigation, retrieval system in digital libraries and e-commerce etc. The article respectively introduced existing various recommendation algorithm, and analyzed the advantages and disadvantages of all kinds of algorithm, and came up with an adaptive recommendation algorithm based on the Bayesian network. The results of theoretical analysis and experiments indicated that the algorithm could make personalized recommendation for users in real-time online. Compared with other existing algorithms, this algorithm could give the recommendation set more quickly with higher precision and recall level.

Keywords

Bayesian network Personalized recommendation Adaptive Weblog mining 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Experiment Center of China West Normal UniversityNanchongChina

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