I´m currently working on a query that must show a list of all articles from a specific table, but it must sort the list according to a search form, so that the articles that contain most/best matches are shown first and those that do not have any matches at all will be shown last sorted alphabetically.
I have made this code which is working fine, though I cannot find a way to sort the matches by most hits / relevance.
Here is my code:
$search = $_POST["searhwords"];
$search = preg_replace('/\s+/', ' ',$search);
$SearchQueryArray = str_replace(",", "", $search);
$SearchQueryArray = str_replace(" ", ",", $SearchQueryArray);
$SearchQueryArray = explode(',', $SearchQueryArray);
$outputtt1 = '';
$outputtt2 = '';
foreach ( $SearchQueryArray as $queryword )
{
$outputtt1 .= "title LIKE '%".$queryword."%' OR ";
$outputtt2 .= "title NOT LIKE '%".$queryword."%' AND ";
}
$outputtt1 = rtrim($outputtt1, ' OR ');
$outputtt2 = rtrim($outputtt2, ' AND ');
$query_for_result = mysql_query("SELECT * from mytable
WHERE ".$outputtt1."
union all
SELECT * from mytable
WHERE ".$outputtt2."
");
So I need to find a way to sort the article that contain matches so that those that contain most matches are sorted first.
You can see the script i Have made live here: http://www.genius-webdesign.com/test/querytest.php
Here is the SQL that does this:
select t.*
from mytable
order by ((title like '%keyword1%') +
(title like '%keyword2%') +
(title like '%keyword3%') +
. . .
(title like '%keywordn%')
) desc;
MySQL treats boolean expressions as numbers, with true being 1
. So, this counts the number of matches.
By the way, if your data has any size, you might find full text search is more efficient than using like
.
EDIT:
Counting the number of keywords is a bit more challenging, but you can do it as:
order by ((length(replace(title, 'keyword1', 'x')) -
length(replace(title, 'keyword1', '')
) +
(length(replace(title, 'keyword2', 'x')) -
length(replace(title, 'keyword2', '')
) +
. . .
(length(replace(title, 'keywordn', 'x')) -
length(replace(title, 'keywordn', '')
)
);
Counting the number of appearance of a keyword is more cumbersome than merely looking for where or not it is present.
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