Make a guess for the user whose ID is given, using the item-based and user-based recomennder methods. Consider 5 suggestions from the user-based model and 5 suggestions from the item-based model and finally make 10 suggestions from 2 models.
MOVIE
movieId: Unique movie number
title: The name of movie
genres: The category of movie
RATING
userId: Unique number of each user
movieId: Unique movie number
rating: The score given by user
timestamp: The date user was rated