A distributed recommender agent model based on user's perspective SVD technique

This paper proposes a modified centralized recommender technique to be embedded in a software agent. The software agent will act as a cooperative assistant to carry out some tasks on behalf of its user working in the decentralized environment. The historical rating data from other available sources...

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Main Authors: Praserttitipong,D., Sophatsathit,P.
Format: Article
Published: Advanced Institute of Convergence Information Technology Research Center 2015
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Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84862727744&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38633
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-386332015-06-16T07:53:42Z A distributed recommender agent model based on user's perspective SVD technique Praserttitipong,D. Sophatsathit,P. Computer Networks and Communications Software This paper proposes a modified centralized recommender technique to be embedded in a software agent. The software agent will act as a cooperative assistant to carry out some tasks on behalf of its user working in the decentralized environment. The historical rating data from other available sources and itself are learned so as to constructing the agent's prior knowledge at the central server. Knowledge acquisition is accomplished by an eager learning process based on adaptive user's perspective singular value decomposition (USVD) technique. Subsequent incremental knowledge update according to user's feedback is maintained by a lazy learning process until some thresholds are reached. Thereby the eager learning process takes over. The overall accumulated knowledge entails the agent to arrive at more accurate recommendations. The processing time for this knowledge maintenance is reduced from polynomial time to constant time. Moreover, the versatility of the proposed model renders it to be applied to sparse knowledge and new-item cold-start problems. This software agent is referred to as a recommender agent. 2015-06-16T07:53:42Z 2015-06-16T07:53:42Z 2012-06-01 Article 19759339 2-s2.0-84862727744 10.4156/jdcta.vol6.issue10.13 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84862727744&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38633 Advanced Institute of Convergence Information Technology Research Center
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Networks and Communications
Software
spellingShingle Computer Networks and Communications
Software
Praserttitipong,D.
Sophatsathit,P.
A distributed recommender agent model based on user's perspective SVD technique
description This paper proposes a modified centralized recommender technique to be embedded in a software agent. The software agent will act as a cooperative assistant to carry out some tasks on behalf of its user working in the decentralized environment. The historical rating data from other available sources and itself are learned so as to constructing the agent's prior knowledge at the central server. Knowledge acquisition is accomplished by an eager learning process based on adaptive user's perspective singular value decomposition (USVD) technique. Subsequent incremental knowledge update according to user's feedback is maintained by a lazy learning process until some thresholds are reached. Thereby the eager learning process takes over. The overall accumulated knowledge entails the agent to arrive at more accurate recommendations. The processing time for this knowledge maintenance is reduced from polynomial time to constant time. Moreover, the versatility of the proposed model renders it to be applied to sparse knowledge and new-item cold-start problems. This software agent is referred to as a recommender agent.
format Article
author Praserttitipong,D.
Sophatsathit,P.
author_facet Praserttitipong,D.
Sophatsathit,P.
author_sort Praserttitipong,D.
title A distributed recommender agent model based on user's perspective SVD technique
title_short A distributed recommender agent model based on user's perspective SVD technique
title_full A distributed recommender agent model based on user's perspective SVD technique
title_fullStr A distributed recommender agent model based on user's perspective SVD technique
title_full_unstemmed A distributed recommender agent model based on user's perspective SVD technique
title_sort distributed recommender agent model based on user's perspective svd technique
publisher Advanced Institute of Convergence Information Technology Research Center
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84862727744&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38633
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