Journal
2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014
Volume 31, Issue -, Pages 875-881Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2014.05.339
Keywords
Link prediction; Recommender system; Domain knowledge
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In this paper, we propose a new recommendation algorithm, which extends the idea of linkage measure to recommendation in bipartite network, and incorporate domain knowledge with topological property in recommendation process. Through calculating domain similarities between products, we weigh the products recommended to potential customer with larger weights, whose categories are more close to the categories meeting with users' preference, so as to improve the recommendation quality. Our preliminary experimental results based on a retail transaction dataset indicate that domain-based link prediction measures achieved better performance than general linkage measures algorithms. (C) 2014 Published by Elsevier B.V. Open access under CC BY-NC-ND license.
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