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Recommendation in Online Shopping Malls: Results and Experiences

Title
Recommendation in Online Shopping Malls: Results and Experiences
Author
김상욱
Keywords
Recommendation systems; Price-comparison services; Click-log
Issue Date
2013-10
Publisher
ACM New York
Citation
Research in Adaptive and Convergent Systems, 2013, P.116-117
Abstract
Some portal sites have been providing price-comparison services. For the price-comparison services, however, they do not provide personalized recommendations. This paper proposes a strategy of recommendations for the price-comparison services. The strategy uses the click-log data to identify user's preference. We apply the strategy to three recommendation methods. Through the experiments, we have shown the possibility of recommendation for price-comparison services with the real-world data.
URI
http://dl.acm.org/citation.cfm?doid=2513228.2513254https://repository.hanyang.ac.kr/handle/20.500.11754/73191
ISBN
978-1-4503-2348-2
DOI
10.1145/2513228.2513254
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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