A design of smart docent service using hybrid recommenders

• Published in: 2016 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
• Language: English
• 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
• ISSN: 2165-8536
• DOI: 10.1109/ICUFN.2016.7537055

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.