A New User-based Collaborative Filtering Recommendation Algorithm
Kai Nie · Logistics Sci-tech · 2006
Collaborative filtering, which is widely used recommendation algorithm, usually provides predicted ratings as recommendation. A new algorithm is proposed, which uses a probability value as the output showing the chance that a user might like an item. It employs a user-based approach. At first, a mapping model between the predictions and the probability values is constructed by training. The recommendations are then generated based on the opinions of similar users. Experimental results show that the algorithm can give accurate predictions.