Search Advisor explained briefly
The Search Advisor has two main features. It considers specific user behavior, such as clicks and purchases, and creates patterns of relevance based on this data.
The output of the search advisor is based on an algorithm that can instantly process millions of data points, in this case, generated from user behavior on indi.nl.
The Search Advisor uses this data to re-rank the results of the on-page search feature. The most relevant products for each individual user are positioned at the top of the search result page.
Secondly, the Search Advisor can re-rank the products on category pages, placing relevant products closer to the top of the page. As you navigate the site, expressing various interests, the products on category pages are re-arranged according to your specific behavior.
This re-ranking is based on the same data as the search results, which means that you can navigate indi.nl, without using the search feature, but you will still see products that are specifically chosen and relevant for you.
When the behavioral data from one specific user is combined with clickstream data from millions of other users, the relevance is almost impossible to surpass.