Rating-based Restaurant and Food Recommendation System using Nearest Neighbor Algorithm

M. Malathi, S. Sarujith, Samyuktha Menon
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引用次数: 2

Abstract

Nowadays, People prefer restaurants more than for special occasions. Simultaneously, availability of many restaurants in many areas and online food ordering platforms increases the reach of restaurants and restaurant food for people. Proposing a recommendation system will help the people to identify preferred food and restaurants rather than searching a list of restaurants and food items. Recommending restaurants and food items based on people’s rating on food items shows the quality of that food item in that restaurant and increases the reliability to new users on this recommendation system as the ratings are given by public users.
基于评级的基于最近邻算法的餐厅和食物推荐系统
如今,人们更喜欢去餐馆,而不是在特殊场合。同时,许多地区的许多餐馆和在线订餐平台的可用性增加了餐馆和餐馆食品对人们的影响。提出一个推荐系统将帮助人们确定喜欢的食物和餐馆,而不是搜索餐馆和食物的列表。根据人们对食物的评价来推荐餐馆和食物,这显示了该餐馆食物的质量,并增加了推荐系统对新用户的可靠性,因为这些评价是由公众用户给出的。
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