Part 2 is about the model training for the Learning To Rank integration. We modelled our dataset, collected the data and refined it in Part1.
We’ll introduce you to Learning To Rank In Apache Solr. Start with us the exciting journey to bring LTR to production for your search engine.
How Apache Solr works internally and the vital data structures that make the Lucene based search engine so fast and efficient.
This blog post is about the Apache Solr Suggester feature. Here you find all the available implementations with examples and tricks and tips.
This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.
Let’s describes the approach used in the Lucene Classification module to adapt text classification to document ( multi field ) classification.