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학술대회 A Design of Smart Docent Service Using Hybrid Recommenders
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저자
정기숙, 타이광퉁, 금창섭
발행일
201607
출처
International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.386-389
DOI
https://dx.doi.org/10.1109/ICUFN.2016.7537055
협약과제
16ZI1400, 단말 근접 실시간 스마트 서비스추천플랫폼 기술 개발, 금창섭
초록
E-commerce companies such as Amazon.com and Netflix have been introducing recommendation techniques to attract their customers on their web sites. At Amazon.com, they use recommendation algorithms to personalize the online store for each customer. Many applications collect customer's interests to generate a list of recommended items. We introduce recommendation algorithms to smart docent service which guides the visitor considering his preference and other conditions such as his location in museums or art galleries. We use a hybrid approach which combines item-item collaborative filtering and demographical recommendation.
키워드
collaborative filtering, demographical recommendation, Smart docent
KSP 제안 키워드
Art galleries, Collaborative filtering(CF), Docent service, Electronic commerce(E-Commerce), Online store, Web sites, hybrid approach, hybrid recommenders, recommendation algorithm