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An adaptive information grid architecture for recommendation system

Lan, M. and Zhou, Wanlei 2004, An adaptive information grid architecture for recommendation system, Lecture notes in computer science, vol. 3032, pp. 584-591.

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Title An adaptive information grid architecture for recommendation system
Author(s) Lan, M.
Zhou, WanleiORCID iD for Zhou, Wanlei
Journal name Lecture notes in computer science
Volume number 3032
Start page 584
End page 591
Publisher Springer-Verlag
Place of publication Berlin, Germany
Publication date 2004
ISSN 0302-9743
Summary This paper presents an adaptive information grid architecture for recommendation systems, which consists of the features of the recommendation rule and a co-citation algorithm. The algorithm addresses some challenges that are essential for further searching and recommendation algorithms. It does not require users to provide a lot of interactive communication. Furthermore, it supports other queries, such as keyword, URL and document investigations. When the structure is compared to other algorithms, the scalability is noticeably better. The high online performance can be obtained as well as the repository computation, which can achieve a high group-forming accuracy using only a fraction of web pages from a cluster.
Language eng
Field of Research 080201 Analysis of Algorithms and Complexity
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2004, Springer-Verlag
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Document type: Journal Article
Collection: School of Information Technology
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