From Click Logs to Search Ranking: Building an Offline Popularity Trainer with Python and Typesense

Automated excerpt

Does the model need to run inside every search request? Rather than directly adding position-discounted events into the final score, it uses position weighting while fitting a model from document features and click labels. Grouped evaluation: events for the same document must never cross the evaluation boundary.

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