Model Training For Apache Solr Learning To Rank If you want to train a model for Apache Solr Learning To Rank, you are in the right place.This blog post is about the model training phase for the Apache Solr Learning To Rank integration. We modelled our dataset, collected the data and refined it in Part…
Introduction This blog post is about the journey necessary to bring Learning To Rank In Apache Solr search engines. Learning to Rank [1] is the application of Machine Learning in the construction of ranking models for Information Retrieval systems.Introducing supervised learning from user behaviour and signals can improve the relevancy of the documents retrieved bringing a new…
This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.
Introduction This blog post describes the approach used in the Lucene Classification module to adapt text classification to document ( multi field ) classification. Machine Learning and Search have been always strictly associated.Machine Learning can help to improve the Search Experience in a lot of ways, extracting more information from the corpus of documents, auto…