These settings are used to set up more advanced optional settings for SearchSpring.
Internal User IPs
Listing your internal user IPs allows SearchSpring to block internal user behavior from being recorded and skewing the search report data. Internal user queries are reported on the Overall Search Activity report
Save your changes on the bottom of the page when you're done.
Keyword Match Level
This is the number of keywords required to match in a result set.
Strict = 100%
Relaxed is looser
Loose just requires 1 keyword match
Default Facet Limit
This is where you specify how many options or values you want to come back by default for each facet. This can be overwrote on the facet settings page on a per facet level.
An alternate search relevancy algorithm that smooths out search result scores and more heavily utilizes Product Awareness. Enabling this is required to use Boosting Rules on search result pages.
- "Strict" functions similarly to our existing search algorithms that looks to match all terms entered in the query. If all terms are not able to be found in searchable fields, no results will be returned.
- "Loose" adds some search downgrade functionality. If not all terms in the query are found, it will try to match on pieces of the query.
Automatic Search Downgrade
This a feature of SearchSpring that will attempt to lessen the requirements of a search in the event no results are found based on the original query.
Search fuzziness allows SearchSpring to find results even though the search query may not exactly match with the product data. Fuzziness is measured on a scale of 0 - 5, with 0 having no fuzziness and 5 having the most fuzziness. Fuzzy search is helpful for misspellings, for example, if someone searches for "Misissippi", with a fuzziness setting of +1 or more, will automatically find results for "Mississippi" instead. But be aware that fuzzy matching can return irrelevant results as well as relevant ones. For example, a search for "cat shirt" could also return results for "rat shirt" or "frat shirt" depending on the level of search fuzziness.