Research on Applying User-Based Collaborative Filtering Algorithms to Building Products Selection

Abstract:

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Nowadays, there are lots of internet-based service platforms about construction products. The building products’ types are too many to select. This paper proposes an algorithm applying user-based collaborative filtering method to building products selection, which implements personalized recommendation with the help of group users’ experience. The algorithm provides decision support to relevant personnel and improves the efficiency and quality of building products selection.

Info:

Periodical:

Edited by:

Zhijiu Ai, Xiaodong Zhang, Yun-Hae Kim and Prasad Yarlagadda

Pages:

396-399

DOI:

10.4028/www.scientific.net/AMR.339.396

Citation:

L. M. Sun et al., "Research on Applying User-Based Collaborative Filtering Algorithms to Building Products Selection", Advanced Materials Research, Vol. 339, pp. 396-399, 2011

Online since:

September 2011

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Price:

$35.00

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