sphinxsearchHow can I use the proximity_bm25 feature in Sphinx Search?
The proximity_bm25 feature in Sphinx Search is used to boost the relevance of documents that contain words close to each other. It works by giving a higher weight to documents that have words near each other in the text, compared to documents that have the same words but with a large gap between them.
To use the proximity_bm25 feature in Sphinx Search, you need to set the ranker
option to proximity_bm25
when running your query. For example:
$query->setQuery('hello world');
$query->setRanker(SPH_RANK_PROXIMITY_BM25);
The output of this query will be documents where the words “hello” and “world” are close to each other, and will be ranked higher than documents where the words are far apart.
Code explanation
$query->setQuery('hello world');
- This sets the query string to “hello world”.$query->setRanker(SPH_RANK_PROXIMITY_BM25);
- This sets the ranker to proximity_bm25, so that documents with close words will be ranked higher.
Here are some ## Helpful links
More of Sphinxsearch
- How do I install SphinxSearch on Ubuntu 20.04?
- How can I use Sphinx Search to generate word forms?
- How can I use Sphinx Search to create a wiki?
- How do I install and configure Sphinxsearch on Ubuntu?
- How can I use SphinxSearch with Node.js?
- How do I use Sphinxsearch with Zsh?
- How can I use Sphinx Search to weigh my search results?
- How do I find the version of Sphinx Search I'm using?
- How do I install Sphinxsearch on Ubuntu?
- How do I use the sphinxsearch sql_attr_multi attribute?
See more codes...