fixed links

Author: HeidiSteen

articles/search/query-lucene-syntax.md

@@ -130,7 +130,7 @@ Proximity searches are used to find terms that are near each other in a document
 
 Term boosting refers to ranking a document higher if it contains the boosted term, relative to documents that don't contain the term. This differs from scoring profiles in that scoring profiles boost certain fields, rather than specific terms.  
 
-The following example helps illustrate the differences. Suppose that there's a scoring profile that boosts matches in a certain field, say *genre* in the  [musicstoreindex example](index-add-scoring-profiles.md#extended-example). Term boosting could be used to further boost certain search terms higher than others. For example, `rock^2 electronic` boosts documents that contain the search terms in the genre field higher than other searchable fields in the index. Further, documents that contain the search term *rock* are ranked higher than the other search term *electronic* as a result of the term boost value (2).  
+The following example helps illustrate the differences. Suppose that there's a scoring profile that boosts matches in a certain field, say *genre* in the  [musicstoreindex example](index-add-scoring-profiles.md#extended-example-for-keyword-search). Term boosting could be used to further boost certain search terms higher than others. For example, `rock^2 electronic` boosts documents that contain the search terms in the genre field higher than other searchable fields in the index. Further, documents that contain the search term *rock* are ranked higher than the other search term *electronic* as a result of the term boost value (2).  
 
  To boost a term, use the caret, `^`, symbol with a boost factor (a number) at the end of the term you're searching. You can also boost phrases. The higher the boost factor, the more relevant the term is relative to other search terms. By default, the boost factor is 1. Although the boost factor must be positive, it can be less than 1 (for example, 0.20).