Boosting MySQL Fulltext Search Relevance for Specific Fields
In a fulltext search scenario, where a user wants to prioritize matches in one field over another, MySQL provides versatile options. This article explores how to enhance the relevance of a specific field, such as "keywords," in a fulltext search query.
The provided solution harnesses the power of multiple fulltext indexes. By creating separate indexes on individual fields (e.g., keywords and content), as well as a combined index on both fields, a nuanced approach to relevance scoring can be achieved.
In the query, the MATCH function is utilized to calculate the relevance scores for both the "keywords" and "content" fields. A weighting factor of 1.5 is applied to the relevance score for "keywords," signifying its higher importance. The sum of these weighted relevance scores is then used to order the search results.
This approach allows for precise control over the search result relevance, giving the specified field greater influence in the overall relevance calculation. It's worth noting that while this technique offers flexibility and efficiency, it may introduce a performance overhead due to additional indexing and query complexity.
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