Title | ||
---|---|---|
Developing an Intelligent e-Restaurant With a Menu Recommender for Customer-Centric Service |
Abstract | ||
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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 |
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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 Tan | 1 | 205 | 26.92 |
Ching-Su Chang | 2 | 21 | 3.78 |
Yung-Fu Chen | 3 | 155 | 20.85 |