Eugene Yan • 6/13/2021

Patterns for Personalization in Recommendations and Search

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This technical article analyzes patterns for personalization in recommendation and search systems, categorizing approaches like multi-armed and contextual bandits, sequential models, and graph-based methods. It explains their advantages over batch learning, using examples like Netflix's image personalization, and discusses handling user context and cold-start problems.

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#Machine Learning #recommendation systems #search algorithms
Patterns for Personalization in Recommendations and Search

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