Study on Personalized Recommendation Based on Collaborative Filtering
نویسندگان
چکیده
Collaborative filtering is the most successful technology for building personalized recommendation system and is extensively used in many fields. In the paper, a system architecture of personalized recommendation using collaborative filtering based on web log is proposed and data preparation process is detailedly described. The paper also gives an improved k-means algorithm for clustering user transactions. Experimental results show that our proposed algorithm could increase recommendation precision. Key-Words: Collaborative filtering, Personalized recommendation, Data preparation, Cluster algorithm
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