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Situation-based food recommendation for yielding good results

机译:基于情况的食物建议,以获得良好的结果

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We propose a method for finding such foods that yield good results to a user based on the user's situation and showing the recommending foods with the evidence of the foods yielding good results so that the user is convinced to choose the food. We focus on the following problems: (1) existing recommendation systems only focus on “who chooses what” but people is not always able to select the best one which yields good resu (2) even though the proposed method finds the suitable foods, it is not sufficient to simply recommend them because users cannot understand why the foods are good. To address these problems, we construct a model by analyzing food related tweets on the Twitter. In our experiments, we demonstrate that the proposed method successfully avoided recommending a food which yields a bad result and providing evidence in addition to the recommendation foods is beneficial for decision making of food.
机译:我们提出了一种寻找此类食物的方法,这些食品可以基于用户的情况对用户产生良好的结果,并显示推荐的食物,其中有食物的证据产生了良好的结果,以便用户确信选择食物。我们专注于以下问题:(1)现有推荐系统只关注“谁选择”,但人们并不总是能够选择最佳结果的最佳结果; (2)尽管所提出的方法发现合适的食物,但简单地推荐它们是不够的,因为用户无法理解为什么食物很好。为了解决这些问题,我们通过分析Twitter上的食物相关推文来构建模型。在我们的实验中,我们证明了该方法成功避免推荐食物,除了推荐食品外,还有利于食物的决策,提供证据。

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