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Exploiting domain knowledge by automated taxonomy generation in recommender systems
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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
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Official URL: http://dx.doi.org/10.1007/978-3-642-03964-5_12
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 | ||||
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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: |
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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
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