Professional Machine Learning Engineer

By Google · Question Mode

QuestionQ33

Scaling prototypes into ML models

A company operates an application that collects news articles from many online sources and delivers them to users. You need to create a recommendation model that suggests articles to readers that are similar to those they are currently reading. Which approach should you use?

Explanation

Article text can be encoded as vector embeddings, and vector-similarity search can retrieve articles whose content is semantically similar to the article being read. This is a content-based recommendation approach.

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