Augmenting Netflix Search with In-Session Adapted Recommendations

Moumita Bhattacharya; Sudarshan Lamkhede

Augmenting Netflix Search with In-Session Adapted Recommendations

Information Retrieval 2022-06-07 v1 Artificial Intelligence Machine Learning

Authors: Moumita Bhattacharya , Sudarshan Lamkhede

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.

Keywords

recommender system recommendation system

Cite

@article{arxiv.2206.02254,
  title  = {Augmenting Netflix Search with In-Session Adapted Recommendations},
  author = {Moumita Bhattacharya and Sudarshan Lamkhede},
  journal= {arXiv preprint arXiv:2206.02254},
  year   = {2022}
}

Comments

5 pages, 2 figures

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