Restaurant Recommendation using Collaborative Filtering

Suraj Regmi
2017
BSc.CSIT
Semester 6
Downloads 5

Restaurant Recommender is an item-based recommendation website that recommends restaurant to the users according to their preferences. The similar items are found by using Pearson’s correlation score and it is compared to the user’s items then the recommendation is made on the basis of highest score

Collaborative filtering
item-based collaborative filtering
Pearson’s correlation score

Similar Projects