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Content based and Collaborative Filtering in Food Recommendation
Author Name : Harshal Kalunkhe, Rohit Bhapkar
ABSTRACT
In this modern way of living is changing rapidly. Health and eating habits are one of those changes. Scientific studies are showing that because of modern day bad eating habits, decreasing life span and increasing diseases. It is very difficult for everyone to get information about the food they are eating. So, there is a problem of finding good suggestions and relevant information about their food. So it is important to provide the best solution possible with a scientific database. In this system, we are implementing a suggestion model using content base and collaborative filtering which will give the best suggestion with both personal choices and considering nutrition requirements.