What is it about?
The paper is about an algorithm that recommends influencers to follow on Instagram. This algorithm uses the content of the photos uploaded by the influencers to provide better recommendations. Using this additional information improves over algorithms that consider only relationships among users.
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Photo by Solen Feyissa on Unsplash
Why is it important?
Improving user recommendation, e.g. influencers recommendation, results in a better user experience. When a new user gets into a social network there's the problem of suggesting which other users to follow, to keep him/her engaged. This algorithm helps to find a better solution to this issue.
Perspectives
Often recommenders are based on user meta data; this work explores techniques that have been proposed in computer vision and multimedia communities and adapts them to the recommendation community.
Marco Bertini
Universita degli Studi di Firenze
Read the Original
This page is a summary of: Keeping up with the Influencers: Improving User Recommendation in Instagram using Visual Content, July 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3386392.3397594.
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