[IntelliSense] Improve fuzzy search to increase scores for exact matches

[varna]

Typing bold I expect font-bold to be the first result. Instead I receive a long list of fuzzy stuff like border-l- and border-lime while font-bold is buried somewhere. Would it be possible to improve search results by adding bigger weight to exact matches instead of fuzzy combinations of letters?

[Carlgonzalez]

Hello,

To improve fuzzy search and increase scores for exact matches, you can implement the following techniques:

Exact Match Boosting: Assign a higher weight or boost factor to exact matches, such as searching for "font-bold" specifically, so that they are ranked higher in the search results compared to fuzzy combinations.

Phrase Matching: Analyze the query as a phrase and prioritize exact phrase matches over individual terms. This ensures that the entire query "font-bold" is given more weight than separate terms like "font" or "bold."

Field-Level Boosting: Apply field-level boosting, where exact matches in specific fields, such as the name or description of a result, receive a higher score. This allows you to emphasize the importance of exact matches in critical fields. Target Pay and Benefits

Synonym Expansion: Expand the search to include common synonyms of the query terms, but still give higher weight to the exact match. This allows for more flexibility while still prioritizing the exact match.

Tuning Relevance Parameters: Adjust the relevance parameters of the search algorithm to give greater importance to exact matches. This can involve modifying ranking algorithms, term frequency, or document length normalization factors to favor exact matches.