Recommendation in online shopping malls: Results and experiences

Citations

SCOPUS

5

초록

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.

키워드

click-logprice-comparison servicesrecommendation systemsclick-logOnline shoppingPersonalized recommendationprice-comparison servicesReal-worldRecommendation methodsStrategy useUser's preferencesElectronic commerceRecommender systemsCosts
제목
Recommendation in online shopping malls: Results and experiences
저자
Lee, Sang-ChulKim, Sang-WookPark, Sunju
DOI
10.1145/2513228.2513254
발행일
2013-10
유형
Conference Paper
저널명
Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
페이지
116 ~ 117