A design of smart docent service using hybrid recommenders

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...

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Bibliographic Details
Published in2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) pp. 386 - 389
Main Authors Chung, Ki-Sook, Quang Tung, Thai, Keum, Chang-sup
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Algorithm design and analysis
Algorithms
Bluetooth
Collaboration
collaborative filtering
Conferences
Customers
demographical recommendation
Demographics
Filtering
Networks
Recommendations
Recommender systems
Smart docent
Smart phones
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
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SourceType-Conference Papers & Proceedings-2
ISSN:2165-8536
DOI:10.1109/ICUFN.2016.7537055