Distributed Recommender Profiling and Selection with Gittins Indices
Weng, Li-Tung S., Xu, Yue, Li, Yuefeng, & Nayak, Richi (2006) Distributed Recommender Profiling and Selection with Gittins Indices. In Cheung, K.W. (Ed.) IEEE/WIC/ACM International Conference on Web Intelligence, 2006. WI 2006, 18-22 December 2006, Hong Kong, China.
Most existing recommender systems nowadays operate in a single organizational base, and very often they do not have sufficient resources to be used in order to generate quality recommendations. Therefore, it would be beneficial if recommender systems of different organizations can cooperate together to share their resources and recommendations. In this paper, we present a distributed recommender system model that consists of multiple recommender systems from different organizations. With the hope to provide better recommendation service to users, the recommender systems can improve their performances by sharing their recommendations cooperatively. A recommender selection technique based on the Gittins indices is presented in this paper, and it makes selections based on the stability, average performance and selection frequency of the recommenders.
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|Item Type:||Conference Paper|
|Keywords:||information filtering, information filters|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2006 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||05 Sep 2007|
|Last Modified:||29 Feb 2012 23:25|
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