In the course of regular enhancements and optimizations, and in addition to various tweaks, two new features have been recently added, which can be controlled through the management console:
Facet normalization (under “Result Pages”)
Through the optional facet normalization (mapping) different spellings or variations of a facet value can be consolidated under a single facet value, so that just a single facet value will be displayed instead of multiple variants. For example you could normalize “Sony Inc”, “Sony GmbH” and “Sony Corporation” to “Sony” in the brand facet. In addition, you can also specify the number of times an individual facet value needs to appear in the feed data, for the facet value to be displayed. This allows rare values, such as a niche brand name to be excluded from the display, which is helpful when there is a high number of possible values which can be overwhelming for the user. So by having a clearer smaller set of facet values it makes it more likely the user will successfully drill down to their target purchase.
Query-based ranking (under “Ranking”)
It is now possible to influence the ranking based on the query itself, allowing for even higher result relevancy and hence conversions. In a global ranking rule search terms can be defined that trigger this ranking rule to come into effect. For example, you can specify that the ranking rule “boost the category toy” is only activated when the query contains the word “ball”. If the query term was not used as a restriction, the category “toys” would always be boosted. For example if the query term was “golf” toy golf products would be placed on top, although users might expect professional equipment, so that this rule should not apply. So the query-based ranking allows you to tune the relevancy in cases.
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