
Apache Solr Learning To Rank Interleaving
Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.

Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.

This blog post aims to explain Docvalues and Store fields in Apache Solr for operations in which they can be used interchangeably.

Apache Lucene/Solr have been central to me for the last 10 years:I am honoured to announce I am now an APACHE LUCENE/SOLR COMMITTER ! And I am happy 🙂

This blog post is about our latest contribution to the Apache Lucene project: introducing weighted synonyms to provide better query expansion.

An approach to solve the problem of an application that requires both Full and Atomic Updates, using one of the powerful concepts in Object Oriented Programming: Polymorphism.

Let’s quickly setup a Solr development environment for implementation and debugging purposes, with our 5 minutes how to!

This blog post is about the handleSelect and qt parameter in Apache Solr and their relation with the Request Handler mechanism.

A guide through the rough sea of Nested Documents in Apache Solr to build childFIlter queries and use Solrj to get the results back.

Tag and Exclusion for Apache Solr Faceting is often misused. Here’s a guide to optimal utilisation with a focus on ACL filtering scenarios.

How faceting is calculated in Apache Solr distributed architectures. It presents inner details explanation and practical examples.
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
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