Guides / Managing results / Refine results / Filtering

# Filter Scoring

As well as refining results, you can use filtering to rank records according to how well or how poorly they match a set of filters: this is called filter scoring. Scoring applies numerical settings to filter values, making some filter values more important than others. Records with the highest filter values sit at the top of the list of results.

Consider the case of stock portfolios in which companies are scored according to their monetary significance. Filter scoring can be used to rank Google higher than Facebook. For example:

``````1
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index.search('', {
});
``````

The result is that records with Google stocks sit at the top of the list, higher than Amazon and Facebook.

## How scoring is calculated

Filter scores are integer values from 0 to 65535.

### Default scoring

In the preceding example, any portfolio containing all three companies (Google, Amazon, and Facebook) would score `3`, as the total is based on the highest score. In other words, by default, there is no accumulation of the individual scores.

### Accumulating scores with `sumOrFiltersScores`

You accumulate scores by setting the `sumOrFiltersScores` parameter to `true`. In the preceding example, any record with all three companies would have a total score of 6 (3+2+1).

If `sumOrFiltersScores` is `false`, the default, the system uses the default scoring method: taking the highest score. Using the preceding example and a query filtered on Google and Amazon with `sumOrFiltersScores` = `false` returns a score of 3 (google(3) > amazon(2)).

``````1
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index.search('', {
});
``````

The same query with `sumOrFiltersScores` = `true` returns a score of 5 (google (3) + amazon(2)).

``````1
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4
index.search('', {
});
``````

## Scoring ANDs and ORs

Use the `OR` operator when you want to weigh terms differently.

• When filtering with `OR`, the total score is based on the individual `true` value scores. If you have three filter values in your query and all three match, it will have a higher score than another record that matches only one filter value.
• Filtering only with ANDs will remove the effect of scoring. With a group of ANDs, records are chosen only if all filters match: all records will have the same score.

## Scoring using numeric filters

You can’t apply scores when using numeric filters (like `>=`, `!=`, `>`). Scoring can only be done on facet values, using the `attribute:value<score=X>` syntax.