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Conference Paper A Design of Smart Docent Service Using Hybrid Recommenders
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Authors
Ki-Sook Chung, Thai Quang Tung, Chang-sup Keum
Issue Date
2016-07
Citation
International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.386-389
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUFN.2016.7537055
Abstract
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.
KSP Keywords
Art galleries, Collaborative filtering(CF), Docent service, E-commerce, Hybrid Approach, Web sites, hybrid recommenders, online stores, recommendation algorithm