研究生: |
艾芙桑 Afsaneh Taheri |
---|---|
論文名稱: |
基於食材原料之食譜搜尋 Recipes Retrieval Based on Ingredients |
指導教授: |
楊傳凱
Chuan-Kai Yang |
口試委員: |
林伯慎
Bor-Shen Lin 賴源正 Yuan-Cheng Lai |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 資訊管理系 Department of Information Management |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 50 |
中文關鍵詞: | 無 |
外文關鍵詞: | Recipe Recommendation System, Tensorflow Object Detection, Recipe Retrieval, Ingredients Recognition, Faster RCNN |
相關次數: | 點閱:449 下載:17 |
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Recommendation systems are offering users the ability to explore their interests and discover new things that are already popular in e-commerce websites and on online multimedia services. They will become interesting for food and recipe since they give users suggestions to select from the retrieved cooking based on food images or ingredients while possibly including personal preferences. This research proposes a recipe recommendation system that is based on the available ingredients with an additional feature to replace similar ingredients in the retrieved recipe. The system takes the images of the ingredients as input and recognizes them through a convolutional neural network (CNN). This research adopts Tensorflow Object Detection API to train the objects and a fine-tuned Faster R-CNN model with a training dataset for twelve ingredients. The detected ingredients can, in turn, be used to recommend recipes, and for each missing ingredient, our system finds the most suitable substitute ingredient that has large co-occurrence relations with the main ingredients with a higher frequency.
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