يهدف البحث إلى عمل دراسة في طرائق نظم التوصيات الخاصة بشبكات التواصل الإجتماعي ، بحيث يتم ذكر العديد من
هذه الطرائق والمقارنة فيما بينها ،والتركيز على موقع تويتر من خلال شرح عمل نظام توصية شخصي للتغريدات والمتابَعين
معتمداً على بيان المعرفة .
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References used
Tweet and followee personalized recommendations based on knowledge graphs
A Personalized Tweet Recommendation Approach Based on Concept Graphs
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Although paths of user interests shift in knowledge graphs (KGs) can benefit conversational recommender systems (CRS), explicit reasoning on KGs has not been well considered in CRS, due to the complex of high-order and incomplete paths. We propose CR
Knowledge graph entity typing aims to infer entities' missing types in knowledge graphs which is an important but under-explored issue. This paper proposes a novel method for this task by utilizing entities' contextual information. Specifically, we d
With the recent surge in social applications relying on knowledge graphs, the need for techniques to ensure fairness in KG based methods is becoming increasingly evident. Previous works have demonstrated that KGs are prone to various social biases, a