E-commerce shoppers now search in natural language
In the 2010s “Googling” started to mean asking questions. Now it can feel closer to chatting. Is the same true of e-commerce? Is it becoming true? E-commerce stalwartly resisted…
In the 2010s “Googling” started to mean asking questions. Now it can feel closer to chatting. Is the same true of e-commerce? Is it becoming true? E-commerce stalwartly resisted…
Trust converts. When shoppers find what they’re looking for, 74% go on to buy it and 62% come back to shop again. When they don’t, the numbers flip fast: 73% will abandon a site within a minute or two of failing to find what they want, and 36% never come back.
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business?
How can generative AI help your customers find the right product by extracting information from reviews?
A step-by-step approach to compare the results of two search systems using human ratings & NDCG
How we built vector search in Chorus, the open source reference platform for e-commerce search, the challenges and solutions
What’s next after search relevance? We think there are more factors affecting search result quality – here’s how we’ll be exploring them.
Atita Arora shows how e-commerce search with vectors can return more relevant products – even with vocabulary mismatches and misspellings!
Some queries require a special technique to be improved: the need a redirect to a landing page. Learn how to implement this with Chorus and about types of redirects, pitfalls, …
On his continuing quest to build superior e-commerce search, Pete the Product Owner establishes a baseline relevance metric
How we built a prototype vector search application for e-commerce using Jina AI at the Vector Search Hackday
Improving e-commerce search often starts with being able to actually know what’s going on in your online shop search, and much of this knowledge may be gathered by analyzing…