liveBook · Manning

Geospatial boosting

As explained in AI-Powered Search

Geospatial boosting increases the ranking score of documents according to their geographic proximity to a reference location.

Geospatial boosting raises document scores when their locations are near the user or another reference point. It adds geographic proximity to text-based relevance functions such as BM25, so ranking combines keyword matching with location. section 3.2.2

A search pipeline can calculate distance from a document’s location to user latitude and longitude, then transform that distance into a boost. Solr function queries can combine this proximity signal with keyword, freshness, and popularity scores. section 3.2.2

How AI-Powered Search covers it

How deep it goes
Defines proximity boosting and shows Solr scoring functions, but does not develop distance normalization or evaluation procedures.
Examples
Uses Solr requests that sort by geodistance or combine geographic distance with keyword, date, and popularity functions.
What it assumes
Assumes keyword relevance and BM25, while framing query components as configurable scoring functions.
What you can do after
Apply it via Solr geodistance sorting or function queries that combine proximity with other ranking signals.
How it connects
Connects geospatial boosting with BM25, date boosting, popularity boosting, field boosting, and semantic expansion.

This explainer was generated by Manning's knowledge graph from the text of AI-Powered Search. The section links point to the parts of the book it draws on.