Achieving Relevance Prioritization in MySQL Fulltext Search
When conducting fulltext searches across multiple fields, MySQL assigns equal relevance to matches found in each field. However, there may be scenarios where prioritizing certain fields is desirable, ensuring they contribute more significantly to the overall relevance score.
Solution: Create Weighted Indexes
To achieve this, create multiple fulltext indexes:
Example Query with Weighted Relevance
Using the MATCH (keyword) AGAINST (...) and MATCH (content) AGAINST (...) functions, you can calculate separate relevance scores for each field. The CASE statement assigns binary values to indicate whether a specific field contains the search term:
SELECT *, CASE WHEN Keywords LIKE '%watermelon%' THEN 1 ELSE 0 END AS keywordmatch, CASE WHEN Content LIKE '%watermelon%' THEN 1 ELSE 0 END AS contentmatch,
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