Li, Tao and Anand, Sarabjot Singh (2009) Exploiting domain knowledge by automated taxonomy generation in recommender systems. In: DiNoia, T. and Buccafurri, F., (eds.) E-Commerce and Web Technologies. Lecture Notes in Computer Science, 5692 . Springer Berlin Heidelberg, pp. 120-131. ISBN 9783642039638

PDF Recommendation.pdf - Published Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (228Kb)

Request Changes to record.

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:	Book Item
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Series Name:	Lecture Notes in Computer Science
Publisher:	Springer Berlin Heidelberg
ISBN:	9783642039638
Book Title:	E-Commerce and Web Technologies
Editor:	DiNoia, T. and Buccafurri, F.
Official Date:	2009
Dates:	Date Event 2009 Published
Volume:	5692
Page Range:	pp. 120-131
DOI:	10.1007/978-3-642-03964-5-12
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	8 July 2016
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

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item