Li, Tao and Anand, Sarabjot Singh (2009) Exploiting domain knowledge by automated taxonomy generation in recommender systems. In: 10th International Conference on E-Commerce and Web Technologies, Linz, Austria, September 01-04, 2009. Published in: E-commerce and Web Technologies, Proceeding, 5692 pp. 120-131.

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Abstract

The effectiveness of incorporating domain knowledge into recommender systems to address their sparseness problem and improve their prediction accuracy has been discussed in many research works. However, this technique is usually restrained in practice because of its high computational expense. Although cluster analysis can alleviate the computational complexity of the recommendation procedure, it is not satisfactory in preserving pair-wise item similarities, which would severely impair the recommendation quality. In this paper, we propose an efficient approach based on the technique of Automated Taxonomy Generation to exploit relational domain knowledge in recommender systems so as to achieve high system scalability and prediction accuracy. Based on the domain knowledge, a hierarchical data. model is synthesized in air offline phase to preserve the original pairwise item similarities. The model is then used by online recommender systems to facilitate the similarity calculation and keep their recommendation quality comparable to those systems by means of real-time exploiting domain knowledge. Experiments were conducted upon real datasets to evaluate our approach.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Series Name:	Lecture Notes in Computer Science
Journal or Publication Title:	E-commerce and Web Technologies, Proceeding
Publisher:	Springer-Verlag Berlin
ISBN:	978-3-642-03963-8
ISSN:	0302-9743
Editor:	DiNoia, T and Buccafurri, F
Date:	2009
Volume:	5692
Number of Pages:	12
Page Range:	pp. 120-131
Identification Number:	10.1007/978-3-642-03964-5_12
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	10th International Conference on E-Commerce and Web Technologies
Type of Event:	Conference
Location of Event:	Linz, Austria
Date(s) of Event:	September 01-04, 2009
URI:	http://wrap.warwick.ac.uk/id/eprint/16868

Data sourced from Thomson Reuters' Web of Knowledge

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