Search Relevance Regression Testing using Search Test Framework

Posted: 16 Dec 2019

Date Written: December 16, 2019

Abstract

Search relevance regression testing is the process by which search quality is monitored and improved by comparing search results over time, and in particular before and after releases. It helps us to evaluate whether recent changes to the environment, content, application and search algorithms have adversely impacted the results delivered by the search engine in any way, and to take action accordingly. It provides feedback on relevance and allows us to monitor trends and impacts of algorithm changes. This work explores the use of an integrated search testing and instrumentation tool to track regression over time and to highlight changes.

Keywords: relevance testing, relevance regression testing, STF, Search Test Framework

Suggested Citation

Kandappanthodi, Deepa, Search Relevance Regression Testing using Search Test Framework (December 16, 2019). Proceedings of the 3rd Annual RELX Search Summit, Available at SSRN: https://ssrn.com/abstract=3504647

Deepa Kandappanthodi (Contact Author)

LexisNexis ( email )

P. O. Box 933
Dayton, OH 45401
United States

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