Allergy free Food Recommendation System

Abstract

Due to the tremendous amount of data on internet, web data mining has become very necessary .The system
contains the number of different food products. Registering into the application, the system will acquire all the
detailed information of the user for providing online services. Selecting the user required products and order is
placed. This system contains the online services providing allergy-safe food recipes. The allergy-free ingredients
could be extracted from the large number of the ordinary food recipes. By considering food context for allergy
ingredients, the precision of extracting allergy-free ingredients can be improved. Predicting the missing items form
dataset is indefinite area of research in Web Data Mining. On the basis of the users feedback (ratings/comments) the
system gives preferences according to the highest rating. The proposed approach extends advantages of prediction
at a higher level abstraction and reduced rule generation complexity.