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Personality Based Recipe Recommendation Using Recipe Network Graphs

机译：使用配方网络图的基于个性的配方推荐

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摘要

There is usually a vast amount of information that people have to sift through when searching for recipes online. In addition to looking at the ingredient list, people tend to read the reviews of recipes to decide if it is appealing to them based on the feedback of others who have prepared the recipe, with some recipes having hundreds of reviews. Several researchers have proposed recipe-based recommendation systems using details such as the nutritional information of the recipe, however, such recommendations are not personalized to the characteristics of the user. To contribute to research in this area, we propose a personalized recommendation system that makes suggestions to users based on their personality. People of the same personality tend to have many similarities, and personality is a predictor of behavior, we thus propose that the use of personality types could make recommendations more personalized. In this paper, we present the result of a preliminary investigation into the use of the personality of reviewers of recipes and a recipe-based network graph in recommending recipes to users.
机译：人们在网上搜索食谱时通常必须筛选大量信息。除了查看成分表外，人们还倾向于阅读食谱的评论，以根据其他准备食谱的人的反馈来决定食谱是否对他们有吸引力，有些食谱具有数百条评论。几位研究人员已经提出了使用诸如食谱的营养信息之类的细节的基于食谱的推荐系统，但是，这种建议并未针对用户的特征进行个性化设置。为了对这一领域的研究做出贡献，我们提出了一种个性化的推荐系统，该系统可以根据用户的个性向他们提出建议。具有相同个性的人往往具有许多相似之处，并且个性是行为的预测指标，因此，我们建议使用个性类型可以使推荐更加个性化。在本文中，我们介绍了对食谱审阅者的个性和基于食谱的网络图在向用户推荐食谱方面的使用情况的初步调查结果。

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