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A distributed recommender system architecture

A distributed recommender system architecture In contemporary internet architectures, including server farms and blog aggregators, web log data may be scattered among multiple cooperating peers. In order to perform content personalisation through provision of recommendations on such architectures, it is necessary to employ a recommendation algorithm; however, the majority of such algorithms are centralised, necessitating excessive data transfers and exhibiting performance issues when the number of users or the volume of data increase. In this paper, we propose an approach where the clickstream information is distributed to a number of peers, which cooperate for discovering frequent patterns and for generating recommendations, introducing: The proposed approach may be employed in various domains, including digital libraries, social data, server farms and content distribution networks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Web Engineering and Technology Inderscience Publishers

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References (58)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1476-1289
eISSN
1741-9212
DOI
10.1504/IJWET.2012.048517
Publisher site
See Article on Publisher Site

Abstract

In contemporary internet architectures, including server farms and blog aggregators, web log data may be scattered among multiple cooperating peers. In order to perform content personalisation through provision of recommendations on such architectures, it is necessary to employ a recommendation algorithm; however, the majority of such algorithms are centralised, necessitating excessive data transfers and exhibiting performance issues when the number of users or the volume of data increase. In this paper, we propose an approach where the clickstream information is distributed to a number of peers, which cooperate for discovering frequent patterns and for generating recommendations, introducing: The proposed approach may be employed in various domains, including digital libraries, social data, server farms and content distribution networks.

Journal

International Journal of Web Engineering and TechnologyInderscience Publishers

Published: Jan 1, 2012

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