Search Results (SERPS) are no longer about showing pages that are ordered by rankings for a query term. A Google paper shows us a different way of thinking about them in our age of structured Snippets and featured snippets mixed with URL search results. The paper is:
Incorporating Clicks, Attention and Satisfaction into a
Search Engine Result Page Evaluation Model by Aleksandr Chuklin, Google Research Europe & University of Amsterdam and Maarten de Rijke, University of Amsterdam
Search engine results have gone through some significant changes over the past couple of years. A paper from the CIKM’16 conference in October 24-28, 2016, recently published on the Research at Google pages describes some of the user behavior that may take place around search results. The benefit that the paper brings us is that it describes:
In this paper we propose a model of user behavior on a SERP that jointly captures click behavior, user attention and satisfaction, the CAS model, and demonstrate that it gives more accurate predictions of user actions and self-reported satisfaction than existing models based on clicks alone.