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3M2-IOS-3b-6 Contextual Restaurant Recommendation Utilizing Implicit Feedback

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06月14日(Thu) 13:30〜18:00 M会場(-山口県自治会館/大会議室(80))
3M2-IOS-3b International Organized Session「Special Session on Web Intelligence & Data Mining (2)」

演題番号3M2-IOS-3b-6
題目Contextual Restaurant Recommendation Utilizing Implicit Feedback
著者Wei-Ti Kuo(National Taiwan University, Taipei, Taiwan)
Yen-Ling Kuo(National Taiwan University, Taipei, Taiwan)
Jane Yung-jen Hsu(National Taiwan University, Taipei, Taiwan)
Richard Tzong-Han Tsai(Yuan Ze University, Taoyuan, Taiwan)
時間06月14日(Thu) 16:30〜17:00
概要 In the past, there are a great many research about restaurant recommendation. Most of them focus on location-based methods, and the scenario is usually simple. It's easy to recommend neighboring and price accepted restaurants to people, however, there are very few research considering many event contexts such like purposes, companions, and festivals, etc. In addition to the types of cuisine and price, we even consider the atmosphere and style of restaurants. Unlike the much more extensively researched explicit feedback, we don't have any direct rating from the user regarding their preference. Namely, we lack the substantial evidence on which restaurants user dislike. Contrast to other domains, the lack of booking information is a more severe problem. This research aims at how to use the available data to provide useful recommendation. In this work, we use the data between August of 2008 and December of 2011 from EZTABLE which is an online restaurant booking system in Taiwan, to discover how the event contexts affect restaurant recommendation.
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