Sep 20, 2017 · In this paper, we present a content recommendation scheme that uses trust-based user filtering. To perform user filtering, the trust of a user ...
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The content to be recommended is chosen through collaborative filtering, the recommendation priority is determined according to content trust, and content.
Nov 19, 2019 · In this paper, we propose a trust-based personalized content recommendation scheme using collaborative filtering in online social network ...
In this paper, we propose a trust‐based personalized content recommendation scheme using collaborative filtering in online social network services. The user ...
A trust‐based personalized content recommendation scheme using collaborative filtering in online social network services that share multimedia content that ...
Bibliographic details on Contents Recommendation Scheme Considering Trust and Collaborative Filtering in Online Social Networks.
Dec 15, 2023 · The current study proposes a collaborative filtering recommendation framework that employs social networks to generate more precise and pertinent ...
Analyzing the data generated by users within social networks has several practical applications that can be used to develop personalization and recommendation.
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Sep 8, 2023 · The current study proposes a collaborative filtering recommendation framework that employs social networks to generate more precise and pertinent ...
In general, the recommendation systems are typically divided into three categories: CF-based, Content-based filtering, and the hybrid method [14]. The CF-based ...