Recommender System for Favourite Dish in Best Restaurant

Authors

  • K. Michael Sadgun Rao, V. Lakshmi Harika, K. Venkateswarrao, P. Tirupathirao

Abstract

Recommender system is the best method to provide suggestions for the users. At present recommendation systems are gaining more importance in different fields. They are generally used to recommend movies, hotels, restaurants to the users. They generally give recommendations based on the users search history. In this paper restaurant recommendation system is developed. Generally restaurant recommendation suggests best restaurants based on the rating, but now we are going to develop a recommendation engine that suggests restaurants for the user’s favourite dish. In this process number of votes and rating are the selected criteria for giving recommendations. Based on these criteria the restaurants are ranked. Multinomial logistic regression is used for predicting the probabilities of the restaurants. The restaurant with highest probability is recommended to the user.

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Published

2020-05-10

Issue

Section

Articles