Using GPT for Relevancy Judgements
Human ratings for relevance tuning are resource-intensive to generate – so could we use a large language model like GPT instead?
Human ratings for relevance tuning are resource-intensive to generate – so could we use a large language model like GPT instead?
A step-by-step approach to compare the results of two search systems using human ratings & NDCG
Lucene bugs, More Like This, ChatGPT, Elasticsearch, OpenSearch and MongoDB Atlas Search – just some of the things we worked on at our Search Hackday
As Google Analytics Universal Analytics (UA) approaches end-of-life, we show how to set up site search tracking using the new Google Analytics 4 (GA4), BigQuery and Google Looker Studio and how to create your site search tracking dashboards.
Applying synonyms – isn’t that a solved challenge by now? This post summarizes tools, types and strategies including a glimpse into the AI-powered future
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!
A search migration project can be risky – how can you identify & mitigate those risks with measurement, a great team and expert help?
How we utilized a variant of BM25 for sparse vector scoring and combined it with cosine similarity between dense vectors to achieve a hybrid ranking algorithm with better search performance than either technique alone, validated at TREC 2021
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, …
What are the options for training a search team? With news of a brand new training option from OSC