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

Article Preview

Abstract:

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.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

396-399

Citation:

Online since:

September 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Herlocker J , Konstan J A, Riedl J. Information Retrieval, Vol. 5(4) (2002), pp.287-310

DOI: 10.1023/a:1020443909834

Google Scholar

[2] Sarwar B, Karypis G, Konstan J , et al. ACM Press (2001), pp.285-295

Google Scholar

[3] Jun Wang, Arjen P. de Vries, Marcel J.T. Reinders. Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion. SIGIR,2006.

DOI: 10.1145/1148170.1148257

Google Scholar

[4] Ana Belén Barragáns-Martínez, et al. Information Sciences 180 (2010) , p.4290–4311

Google Scholar

[5] Hao Ma, Irwin King ,Michael R. Lyu. Effective Missing Data Prediction for Collaborative Filtering. SIGIR,2007.

Google Scholar

[6] Construction Products Classification and Coding (JG/T151-2003). Beijing: Standards Press of China, 2004(In Chinese)

Google Scholar