An Improved Personalized Recommendation System Research

DOI

10.2991/iccia.2012.3How to use a DOI?

Keywords

Personalized recommendation, association rules ,Collaborative filtering recommendation, styling, Project Score

Abstract

In order to find information of interest and found valuable information resources in enrich Internet data. This paper describes a personalized recommendation system, personalized recommendation system is an intelligent recommendation system to help e-commerce site for customers to provide complete personalized shopping decision support and information services. for the User Rating data extreme sparseness, This paper presents nearest neighbor collaborative filtering algorithm based on project score predicted ,experiments show that this method can improve the quality of recommendation system.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xingyuan Li
AU  - Qingshui Li
PY  - 2014/05
DA  - 2014/05
TI  - An Improved Personalized Recommendation System Research
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 13
EP  - 16
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.3
DO  - 10.2991/iccia.2012.3
ID  - Li2014/05
ER  -