Collaborative Filtering Algorithm for Recommendation System of Improvement Based on Big Data Environment

Shi Jin Li; Wa Te He; Xi Bing Wang; Ting Shi

doi:10.4028/www.scientific.net/AMM.736.189

Paper Titles

Investigation of Simulation Parameters for Cross Wedge Rolling Titanium and Bainitic Grade Steel
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The Design and Implementation of the Power Distribution Unit in Campus Intelligent Computer Room
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Design and Implementation of the Firewall Policy Audit Based on Improved Policy Tree
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The Proposal of Methodology for Evaluating the Effectiveness of Alarm Systems
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Collaborative Filtering Algorithm for Recommendation System of Improvement Based on Big Data Environment
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Software Development for Telehealth at Blood Donation Centers
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Failure Analysis of Cable Based Parallel Manipulators
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Combined Criterion for Ship Position Optimization in Cable Based Parallel Manipulators
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 736Collaborative Filtering Algorithm for...

Collaborative Filtering Algorithm for Recommendation System of Improvement Based on Big Data Environment

Abstract:

With the rapid development of Internet and information technology, the exponential growth of information has attracted a lot of concern thesedays. Big data processing is particularly important. Recommendation system appears a good solution inadequacies of search engines, it is in addition based on keywords entered by the user to obtain information, but also with the user's social circle, as well as search history records, for users personalized recommendations services, and to establish a long and constant user interaction relations, not only improve customer loyalty, but also for the producers to create a good and reliable information platform for big data processing to achieve a win-win.

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Periodical:

Applied Mechanics and Materials (Volume 736)

Pages:

189-195

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.736.189

Citation:

Cite this paper

Online since:

March 2015

Authors:

Shi Jin Li, Wa Te He, Xi Bing Wang, Ting Shi*

Keywords:

Big Data Proceeding, Big Date, Collaborative Filering Algorithm, Recommendation System

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* - Corresponding Author

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