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…
Introduction This blog post is about the Lucene Inverted Index and how Apache Solr internally works. When playing with Solr systems, understanding and properly configuring the underline Lucene Index is fundamental to deeply control your search.With a better knowledge of how the index looks like and how each component is used, you can build a…
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.
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…