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arXiv:2206.02254cs.IR

Augmenting Netflix Search with In-Session Adapted Recommendations

Moumita Bhattacharya, Sudarshan Lamkhede

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Abstract

We motivate the need for recommendation systems that can cater to the members in-the-moment intent by leveraging their interactions from the current session. We provide an overview of an end-to-end in-session adaptive recommendations system in the context of Netflix Search. We discuss the challenges and potential solutions when developing such a system at production scale.

arXiv comments
5 pages, 2 figures
Journal reference
DOI
Subjects
cs.IRInformation Retrieval cs.AIArtificial Intelligence cs.LGMachine Learning

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  1. Your browsing behavior is being modeled as a language 1 comment

    • Clickbait blogspam goop. Here's the article it's talking about: https://arxiv.org/pdf/2206.02254.pdf It's not "modeled as a language", it's "language problems are modeled as prediction problems, and "your next action is obviously a prediction problems."

      lupireView on HNParent context

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