Abstract:
Collaborative filtering (CF) is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data sets. In article presents metric function between set of users and set of items and evaluating method of predictions.
Key words and phrases:collaborative filtering, recommender systems, evaluating of predictions, distance between user and item.