REVIEW GENERATION SYSTEM USING PATTERN MATCHING FOR RESTAURANT

Abstract

The Restaurant Review System provides reviews and ratings to any restaurant and suggests restaurants to the user. Here analysis of comments given by various users will be done and a common review will be generated. This generated review will be a simple statement and will help users to take a correct decision while selecting any restaurant. The Online Restaurant Review System also provides Recommendation option. If user wants to recommend his/her favorite restaurant to any other user/friend then he/she can. This system generates a common review related to a restaurant by using Latent-Semantic Analysis (LSA) algorithm as reference. Here we tokenize the statements and match them with the patterns and assign the respective weights. Whenever a user writes a review its value is added to the old generated review and hence time complexity is reduced. User can recommend restaurant to his/her friends by sending an e-mail related to that restaurant. This mail will include factors like name of the restaurant, location of the restaurant, its current rating, etc.