R-cube: a dialogue agent for Restaurant Recommendation and Reservation

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R-cube: a dialogue agent for Restaurant Recommendation and Reservation
Title:
R-cube: a dialogue agent for Restaurant Recommendation and Reservation
Journal Title:
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific
Keywords:
Publication Date:
09 December 2014
Citation:
S. Kim and R. E. Banchs, "R-cube: A dialogue agent for restaurant recommendation and reservation," Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, Siem Reap, 2014, pp. 1-6. doi: 10.1109/APSIPA.2014.7041732
Abstract:
This paper describes a hybrid dialogue system for restaurant recommendation and reservation. The proposed system combines rule-based and data-driven components by using a flexible architecture aiming at diminishing error propagation along the different steps of the dialogue management and processing pipeline. The system implements three basic subsystems for restaurant recommendation, selection and booking, which leverage on the same system architecture and processing components. The specific system described here operates with a data collection of Singapore's F&B industry but it can be easily adapted to any other city or location by simply replacing the used data collection.
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PublisherCopyrights
Funding Info:
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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