- Fenak is a mobile app which helps tourists by showing personalized recommendations to improve their tourism experience in Egypt.
- Help small businesses by recommending them to tourists.
The Recommender systems are "Similar_Locations_Recommender" which is a content based recommender system which uses cosine similarity to recommend locations similar to the inputed location (which is the location liked by the user) and "Survey_Processing_Recommender_System" which analyze the answer of new users to a simple survey in which they rate the categories from 1-5 and use these ratings to give them intial recommendations.
I am using Cosine similarity to determine similarity between businesses, by trying to find cosine of the angle between the two businesses using their categories.
I am using yelp open dataset to test the recommender systems as it is similar to the data which will be used by the mobile application