We apply principles and techniques of recommen- dation systems to develop a predictive model of customers' restaurant ratings. Using Yelp's dataset, we extract collabo- rative and content based features to identify customer and restaurant profiles. In particular, we implement singular value ...
Basically it gives you a clear example of content-based recommendation systems, specifically a food recommendation system. The dataset that is used in this project is from "yemeksepeti.com". Similar foods are recommended according to previously constructed user preferences. Keywords— Information ...
To address these challenges, a new healthy group food recommendation system based on deep social community detection and user popularity is developed in this study. To this end, an innovative deep community detection approach based on feature learning and deep neural networks is developed using the ...
Besides the requirements from the user query, personalized requirements from the user's dietary preferences and health guidelines are handled in a unified way as additional constraints to the QA system. To validate this idea, we create a QA style dataset for personalized food recommendation based ...
Additionally, we suggest using the Selenium library to create a dataset by employing the web scraping technique. This strategy solves the problem that many open-source datasets have with the overrepresentation of foods from the Asian continent by enabling the addition of foods to the dataset in a...
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The main aim of my project was to create a food recommendation system using machine learning model which will be integrated in an android application that will allows users to order food and drinks in a fast and convenient way. Basically, my project consists of three major parts, i.e....
Data on environmental impacts per food ingredient34 (dataset 1 described in Methods) is publicly available via the Oxford University Research Archive depository60. Data providing environmental values per food product linked to foodDB39 (see description of datasets 2 and 3 in Methods) is described by...
In the specific application field of bibliometrics, the method identifies different research streams (Kuntner and Teichert2016). By reducing the number of variables in a dataset, the factor analysis finds patterns and therefore, the underlying structure of the data (Wendler and Gröttrup2016). Ther...
Personalized nutrition and food recommendation Eating/cooking action recognition/anticipation Food-relevant multi-modal data fusion and learning Devices and sensors for food intake detection and dietary management Large-scale food-relevant benchm...