More Query Understanding: Brand Detection with LLMs
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business?
What do you actually mean? Query Understanding with LLMs
Query Understanding helps you find out what users actually mean when they search – and LLMs can be used to detect this user intent, relax and even replace queries for better recall
Until Decompounding Do Us Part – Solving compound noun challenges with Querqy & LLMs
The challenges with compound nouns in search, how to successfully tackle them with decompounding using Query Rewriting and the role of LLMs.
Using Modern NLP Models from Apache OpenNLP with Solr
The topic of this blog post was the subject of the Searching for the Right Words: Bringing NLP to Apache Solr through ONNX and Apache OpenNLP talk at the…
Fundamentals of query rewriting (part 1): introduction to query expansion
Johannes Peter introduces query expansion in the first part of a series on fundamentals of query rewriting
The BERT Search Experience
Welcome back, dear reader, to the BERT search experience! The thing on most people’s minds when they think about search using BERT is “semantic search”. But search is more…
Ranking Search Results by Trending Hashtags with a zero-shot classifier
How to classify movies based on trending topics using a zero-shot classifier, Kubernetes and Apache Flink
The Annual Search Shootout – Search strategy for TREC News
This is the second post in my blog series about participating in TREC 2020. If you want some background about what exactly is TREC, check out my first post….
What problem does BERT hope to solve for search?
I’m sure if you run in search or NLP circles, you’ve heard of BERT. It’s what Google famously used to improve 1 out of 10 searches, in what they…