Recommendation Systems are mainly used to predict the output based on the user ratings and inputs. In a decade recommendation system has gained popularity for a variety of applications. Recommendation system compares the data collected from users and create a list of items recommended to the user. Place Recommendation system allows user to enter the rating of the city/ tourist destination they visited and then depending on their interest a similar place will be recommended.
Predicted missing ratings using SVD algorithm from the Surprise Library for items from a file containing user ratings for multiple items by comparing a user’s ratings for available items with those of other user’s ratings and the project was built in Python