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< A,V >-Spear: A New Method for Expert Based Recommendation Systems
- Issue Date
- Feb-2014
- Publisher
- TAYLOR & FRANCIS INC
- Keywords
- recommendation systems; attribute value; item profile; user profile; ontology
- Citation
- CYBERNETICS AND SYSTEMS, v.45, no.2, pp 165 - 179
- Pages
- 15
- Journal Title
- CYBERNETICS AND SYSTEMS
- Volume
- 45
- Number
- 2
- Start Page
- 165
- End Page
- 179
- ISSN
- 0196-9722
1087-6553
- Abstract
- Recommendation systems are based on a fast and effective personalized mechanism to provide items relevant to users. In this article, an expert-based approach for recommendation is proposed. We extend the spamming-resistant expertise analysis and ranking (SPEAR) algorithm to determine a set of experts from a set of attributes and values, calling the modification the <A,V > -SPEAR algorithm. This system can recommend a set of items to users using expert opinions. In this approach, we use ontology to build profiles of users. The experimental results are implemented in the movie domain as a case study. Our data set was collected from IMDB and MovieLens data sets.
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