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Collaborative Filtering (CF), which utilizes similar neighbors to generate recommendations, is believed to be the most widely implemented and most mature ...
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A hybrid recommender system which incorporates social network and trust network into improved CF is proposed to enhance the accuracy of recommendation and ...
In this paper, we present an improved mechanism to the standard CF techniques by incorporating trust into CF recommendation process. We derive the trust score ...
Dec 15, 2023 · The current study proposes a collaborative filtering recommendation framework that employs social networks to generate more precise and pertinent ...
This paper explores recommender systems in social networks which leverage information such as item rating, intra-item similarities, and trust graph.
This method requires that a significant amount of domain knowledge can be obtained. The collaborative filtering recommendation strategy uses a different ...
Mar 15, 2023 · This research proposes a new similarity measure approach that takes both user confidence and time context into account to increase user similarity computation.
Providing high quality recommendations is important for e-commerce systems to assist users in making effective selection decisions from a plethora of choices.
To address these issues, a new method called “GlotMF” has been suggested to enhance the collaborative filtering method of recommendation accuracy. Trust-based ...
We proposed a collaborative filtering method using a novel graph clustering algorithm. · The clustering method can be used in user based and item based modes.