Maximizing Relevance with Hyperparameter Optimization
Find out how Hyperparameter Optimization helps you figure out the best values to use for classical search rankers
5 Reasons why you should remove stop words (at indexing time)
Here’s 5 reasons why you should remove stop words from your search index
10 Reasons why you shouldn’t remove stop words
Should you automatically remove stop words like ‘the’ from your search query or index? Here are 10 reasons you shouldn’t!
Pete establishes a Baseline Relevance Metric
On his continuing quest to build superior e-commerce search, Pete the Product Owner establishes a baseline relevance metric
Approaches to field boost tuning with Learning to Rank
A guest post from the Metarank team write on field boosts, Learning to Boost and Learning to Rank
How to succeed with explicit relevance evaluation using Probability-Proportional-to-Size sampling
How to use PPTS sampling to choose queries to reflect the actual needs of your users when carrying out explicit relevance evaluation.
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…
How to make Quepid talk to your .NET Search API
By Atita Arora (OpenSource Connections), Bego Terzimustafic & Mark Johnson (Emerson Ecologics) In the e-commerce business, there are several factors directly or indirectly affecting your success. A smooth UI…
Building a Search Technology Radar
In September 2021 as part of the Haystack conference we solicited ideas from the community on what the future technologies for search looks like, to build a Search Technology Radar
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
Haystack 2021 – The Search Relevance Event returns
Haystack, the search relevance conference is back on September 29th 2021 with in-person and online options – come and join us!
Using the Jaccard index for search regression testing
How to use the Jaccard Index to compare the results of two search algorithms, to evaluate the risk of pushing a new algorithm to production