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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/63709

    Title: 適用於智慧型手機使用者之味覺資料庫建置與菜單推薦機制
    Menu Recommendation System and Taste Database Constructed for Smartphone Users
    Authors: 林信廷
    Lin, Shin Ting
    Contributors: 郭正佩
    Kuo, Pei Jeng
    Lin, Shin Ting
    Keywords: 個人化推薦
    Personalized recommendation
    Taste identification
    Dietary records
    Date: 2013
    Issue Date: 2014-02-10 14:56:42 (UTC+8)
    Abstract: 中國有句諺語:「民以食為天」,食物乃人類生活所不可缺的要素之一,而人們對於食物則有各自的偏好,而要從琳瑯滿目的食物中依照個人喜好來推薦則成為一門重要的課題。
    Foods and eating are the basic element of human's life, and people have their own favorite in choosing foods. Thus it is an important issue to make some recommendation for people in front of a dazzling array of foods.

    With the advances in technology, smartphones bring convenience to people and change their life style. One can use smartphones to record various things in his life. The ways of memories become digitalized, and how to use these digital data to analyze and give opinions becomes popular.

    Base on one’s taste, present study combined dietary records and food taste in Lifelog, using Folksonomy and Crowdsourcing to acquire data of specific food taste from smartphone users, and linked these data to restaurant’s name and the name of the meal in our database.

    We designed a smartphone application which called "Foodtaste". It provided users to record what they ate and how did it taste, looking up personal records, and several recommending methods. Our study also provides several methods in calculating cumulative data in Lifelog and acquiring the preference of one’s taste and ratio in variable foods from every user. Then we calculated these data to carry out personalized food recommendation.
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0099753032
    Data Type: thesis
    Appears in Collections:[Department of Computer Science ] Theses

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