Give the height the right weight: quantities detection in Apache Solr

Quantity detection? What is a quantity? And why do we need to detect it? A quantity, as described by Martin Fowler in his "Analysis Patterns" [1] is defined as a pair which combines an amount and unit (such as 30 litres, 0.25 cl, or 140 cm).¬†In search-based applications, there are many cases where you may … Continue reading Give the height the right weight: quantities detection in Apache Solr

Solr Is Learning To Rank Better – Part 4 – Solr Integration

Last Stage Of The Journey This blog post is about the Apache Solr Learning To Rank ( LTR ) integration. We modelled our dataset, we collected the data and refined it in Part 1 . Trained the model in Part 2 . Analysed and evaluate the model and training set in Part 3 . We … Continue reading Solr Is Learning To Rank Better – Part 4 – Solr Integration

Solr Is Learning To Rank Better – Part 1 – Data Collection

Learning To Rank In Apache Solr 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 … Continue reading Solr Is Learning To Rank Better – Part 1 – Data Collection