Research on Tag-based Collaborative Filtering Strategy

Recommendation technology is designed to take the initiative to recommend using the user's history behavior information, without requiring users to explicitly specify the query case information. Collaborative filtering is the most widely recommended technique. However, some problems of the traditional collaborative filtering recommendation system still exist, and these problems significantly affect the recommended results. Tag system as the essential functions of Web2.0 websites in recent years has been very widely used. This article will combine the tag information with the collaborative filtering recommendation, and recommend resources by recommending tags. By analyzing a problem of the traditional collaborative filtering strategy, this experiment proves tag-based recommendation strategy can effectively solve these problems and improve the accuracy of recommendation.