Research on social recommendation algorithm based on fuzzy subjective trust

In order to resist malicious attacks and improve recommendation accuracy, this paper proposes a collaborative filtering recommendation algorithm based on fuzzy subjective trust based on the subjectivity and fuzziness of trust. Firstly, the trust matrix is constructed by calculating the trust degree between users based on fuzzy subjective trust model and set of trusted users. Then, based on the traditional collaborative filtering recommendation algorithm, the user hybrid recommendation matrix is obtained through user similarity matrix and trust matrix to form recommendations for target users. Experimental results show that this method can effectively improve the resistance to malicious attacks and improve the accuracy of the recommendation system.