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At the moment, auto-suggestions are matching words pulled from the first N matching result records. This sometimes leads to unexpected words ranking on top. E.g. (taken from the VisitPlus dataset):
- "ca" -> "calshot", "castle", "camber"
castle would be the most common & intuitive suggestion. However calshot ranks higher, probably because "Calshot castle" comes up as the highest scored record in the ca search.
We could think about re-scoring suggestions based on the number of matches they would produce as a search result. This would be an extra step, and require one follow-up search per suggestion each. But if we do it, we would get castle as the highest ranked suggestions, because it produces 1k+ results as a search, while calshot only produces one result.
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