'A picture is worth a thousand words' - Approaches to search relevance scoring based on product data, including image recognition
René Kriegler • Back to Haystack 2018
Many online shops around the world use open source technologies like Solr and Elasticsearch for their onsite search. However, the underlying relevance scoring algorithms were largely developed with enterprise search or general site search in mind. Relatively little is known about the specifics of search relevance scoring in e-commerce search, even from the perspective of information retrieval theory.
In my talk I shall give an overview of approaches to search relevance scoring based on product data that I have seen as a search relevance consultant. The second part of the talk shall focus on the use of image recognition as a valuable source of information for relevance scoring, which has only recently begun to be explored for e-commerce search.View the Slides
René has been working as a freelance search consultant for clients in Germany and abroad for more than ten years, often contracting for OpenSource Connections. Although he is interested in all aspects of search and NLP, key areas include search relevance consulting and e-commerce search. His technological focus is on Solr/Lucene. René co-organises MICES (Mix-Camp E-Commerce Search, Berlin, 13 June). He maintains the Querqy open source library.