Leveraging User Behavior Insights to Enhance Search Relevance

Even with the all advancements in search engine technologies with vectorDBs and LLMs, for Search practitioners ‘Measuring the Search holistically’ is still a problem that does not have a standard solution. To test different search strategies, you must capture user clickstream data to measure the impact on end-user experience and inform decisions on optimal search strategy. By understanding factors like search queries, result clicks and subsequent searches, the search system can be continuously optimized to better match user intent and deliver more relevant results. The existing clickstream solutions are more generic and not tailored made for search use-cases. User Behavior Insights (UBI) enables the collection and analysis of rich user search interactions, from queries to result engagements. This talk will demonstrate how organizations can leverage UBI dashboards and integrate insights into their search process to continuously optimize the search relevance for their end users.

Aswath N Srinivasan

AWS @ OpenSearch

Aswath Srinivasan is a Senior Search Engine Architect at AWS. He has been a Search Engineer for several years with experience in various search technologies and search uses cases such E-commerce Search, Enterprise Search, Site Search, Observability, Log Analytics, Security Analytics etc., He is a search & open-source enthusiast and is currently focusing on OpenSearch https://opensearch.org/, an open source Search Engine.