Collaborative Filtering Algorithm Introduced Factor of Authority and Trust
Tao Jun, Zhang Ning · 2010
The traditional collaborative filtering algorithm is too much emphasizing on the role of similarity of the predicted value that there have a higher Sparse Data and poor result of Recommendation. In addition to similarity, the user's trust and authority are also an important factor that will affect the result of recommendation in the algorithm by analyzing. Proposing a new filtering method by introducing factor of authority and trust, by which the users have a more reasonable and reasonable assessment of the resources. Experiments show the effectiveness of the algorithm.