Collaborative Filtering

Collaborative Filtering is named for how users' collaborative behavior data is stacked for prediction. It is based on recommending items that are preferred by other users who have similar preferences to items that users have liked in the past. The difference from

Sequential recommender is that it is user-item interaction based (not necessarily time series).