Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update search-lucene-query-architecture.md #108

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update search-lucene-query-architecture.md #108

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion articles/search/search-lucene-query-architecture.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -359,7 +359,7 @@ search=Spacious, air-condition* +"Ocean view"
}
```

Document 1 matched the query best because both the term *spacious* and the required phrase *ocean view* occur in the description field. The next two documents match only the phrase *ocean view*. It might be surprising that the relevance score for document 2 and 3 is different even though they matched the query in the same way. It's because the scoring formula has more components than just TF/IDF. In this case, document 3 was assigned a slightly higher score because its description is shorter. Learn about [Lucene's Practical Scoring Formula](https://lucene.apache.org/core/6_6_1/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html) to understand how field length and other factors can influence the relevance score.
Document 1 matched the query best because both the term *spacious* and the required phrase *ocean view* occur in the description field. The next two documents match only the phrase *ocean view*. It might be surprising that the relevance score for document 2 and 3 is different even though they matched the query in the same way. It's because the scoring formula has more components than just TF/IDF. In this case, document 2 was assigned a slightly higher score because its description is shorter. Learn about [Lucene's Practical Scoring Formula](https://lucene.apache.org/core/6_6_1/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html) to understand how field length and other factors can influence the relevance score.

Some query types (wildcard, prefix, regex) always contribute a constant score to the overall document score. This allows matches found through query expansion to be included in the results, but without affecting the ranking.

Expand Down