Moumita Bhattacharya highlighted that Netflix created a Unified Contextual Recommender (UniCoRn) to efficiently address both search and recommendation needs in a single model.
In addressing search and recommendation, Bhattacharya noted the necessity of a two-step approach, selecting candidate products before deploying heavy machine learning algorithms for ranking.
By anticipating user queries and using real-time browsing signals, Netflix optimizes the search experience, especially for users on television remotes where text entry is cumbersome.
Dr. Bhattacharya emphasized that the need for high recall in the first step of product selection is crucial to ensure relevant items are returned to users.
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