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Recommender Systems for Social Networks: A Short Review

Abstract

Since the 1990s, recommendation systems have been the subject of numerous studies. A recommender system is a software tool that assists users in the choice-making process by recommending items similar to their preferences and interests. However, in the age of the internet and social networking platforms, it is becoming more and more complex to provide the appropriate items for users due to the information overload problem. Hence, the introduction of a novel type of RS called "social recommender systems", an approach that employs social data to generate precise recommendations and surpass the classic recommender system's limitations. This article provides a brief overview of social recommender systems and their various methods.

Research topics

  • Recommender Systems and Techniques
  • Caching and Content Delivery
  • Advanced Graph Neural Networks

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DOI: 10.1145/3607720.3607725

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