A Comparative Study on Prediction Approaches of Item-Based Collaborative Filtering in Neighborhood-Based Recommendations

With the growing nature of data over the internet, item-based collaborative filtering has become a promising method in the recommendation. The two-step process of item-based collaborative filtering, i.e., computation of similarity among items, and rating prediction using similar items are utilized in recommendation. However, the quality of recommendations after following these steps degrade in sparse datasets. Traditionally, in item-based...