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Item-based and User-based Double Clustering Collaborative Filtering Recommendation Algorithm

Author: ShiHua
Tutor: LinHePing
School: Northeast Normal University
Course: Applied Computer Technology
Keywords: Collaborative Filtering Recommended system Clustering Data Mining E-commerce
CLC: TP301.6
Type: Master's thesis
Year: 2009
Downloads: 278
Quote: 6
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Abstract


With the popularity of the Internet and e-commerce applications widely , while enjoying the convenience of online shopping has found itself in a predicament of information overload , users in a large number of product information is difficult to find the goods they need . Therefore , e-commerce recommendation system came into being. Recommended system in the e - commerce platform to play the role of the sales staff , recommended to users of commodities , to help users find the necessary goods to the successful completion of the purchase process . Good prospects for the development and application of e-commerce recommendation system application has gradually become an important research content , has been more and more attention . E-commerce recommendation system with a more in-depth research , detailed analysis of the status and prospects of the various personalized recommendation technology applications in the field of e-commerce recommendation . The technology collaborative filtering recommendation system application of the first and one of the most successful technology , its development is facing two of the three major challenges : scalability; improve the collaborative filtering algorithm to lower recommended system sparsity of the data set ; improve recommendation quality . This paper presents an improved collaborative filtering algorithm - double clustering users and project - based collaborative filtering algorithm solve these problems , this algorithm has a collaborative filtering algorithm based on user clustering and the advantages of project - based clustering collaborative filtering algorithm , and abandoned its shortcomings .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Theories, methods > Algorithm Theory
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