Title
Developing an Intelligent e-Restaurant With a Menu Recommender for Customer-Centric Service
Abstract
Traditional restaurant service is typically passive: Waiters must interact with customers directly before processing their orders. However, a high-quality service system should be customer centered; it should immediately recognize customer identities, favorite menus, and expenditure records to provide customer-centric services. To achieve this goal, this study integrates radio frequency identification (RFID), wireless local area network, database technologies, and a menu recommender to develop an intelligent e-restaurant for customer-centric service. This system enables waiters to immediately identify customers via RFID-based membership cards and then actively recommend the most appropriate menus through menu recommender for customers. Experimental results that are obtained from a case study conducted in two Taipei restaurants indicate that the proposed system has practical potential in providing customer-centric service.
Year
DOI
Venue
2012
10.1109/TSMCC.2011.2168560
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Keywords
Field
DocType
intelligent e-restaurant,rfid,expenditure records,customer-centric service,taipei restaurants,catering industry,high-quality service system,rfid-based membership cards,customer services,favorite menus,recommender systems,menu recommender,radio frequency identification,radiofrequency identification,wireless local area network,radio frequency identification (rfid),customer identities,wireless local area network (wlan),wireless lan,database technologies,databases,materials,genetic algorithms,particle swarm optimization
Recommender system,Catering industry,World Wide Web,Computer science,Service system,Wi-Fi,Wireless lan,Radio-frequency identification
Journal
Volume
Issue
ISSN
42
5
1094-6977
Citations 
PageRank 
References 
3
0.42
27
Authors
3
Name
Order
Citations
PageRank
Tan-Hsu Tan120526.92
Ching-Su Chang2213.78
Yung-Fu Chen315520.85