Based on the users past book choices , system recommend new books to user using collaborative filtering
System has 3 subsection
1- Calculating the similarites of a user with other users A readers similarity with other readers calculated using pearson coefficient
2- Finding the most similar K people to user For a given K value , find the most similar K user to user using calculations in first subsection
3- Recommending a new book to user Using the most similar users, recommend a book to user using below formula, N value in this formula indicates most similar K users
Sample outputs using RecomendationDataSet.csv
1-
2-
3-
4-
5-
6-
7-
