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New study predicts Bluesky custom feed returns for posts

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for predicting which custom feeds on the Bluesky platform will surface new posts. This approach treats new posts as queries and ranks existing feeds based on their likelihood of returning the post within 24 hours. A benchmark dataset of 17.8 million posts and 5,000 feeds was used, with LambdaRank achieving the best performance on metrics like Recall@10 and NDCG@10. AI

IMPACT This research could improve content discovery and personalization on social media platforms by optimizing how custom feeds surface relevant posts.

RANK_REASON The item is an academic paper published on arXiv detailing a study on recommendation systems. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New study predicts Bluesky custom feed returns for posts

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The item is an academic paper published on arXiv detailing a study on recommendation systems. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Mohit Singhal ·

    Predicting Custom-Feed Returns for New Bluesky Posts: A Prospective Study

    The conventional approach to cold-start recommendation addresses new users or newly introduced items. Bluesky custom feeds create a different setting: independently operated feeds filter content from a shared public stream. In this setting, newly published posts are the cold-star…

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