Collaborative Filtering Recommendation Algorithm Based on Contextual Information

Abstract

Contextual information refers to all the factors affecting the recommendation system and supporting recommendation except “user - item†assessment information. To make effective recommendation to the user against a specific context, it is very important to integrate contextual information into recommendation. Based on contextual information, this paper improves collaborative filtering recommendation algorithm, applying the algorithm to the curricula-variable recommendation context so as to improve the accuracy of recommendation results and provide certain guidance and suggestions to curricula-variable process.