Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
Welcome to the ninth London Information Retrieval Meetup, scheduled on 29th June 2021. The event will be fully remote.
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
This blog explores how the luceneMatchVersion parameter in the solrconfig.xml works in Apache Solr. Dos and don’ts, and anything in between.
This blog post aims to illustrate how to generate the query Id and how to manage the creation of the Training Set
Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.
TUE 30TH MARCH 2021STARTING FROM 06:00 PM (GMT) We are pleased to announce the eighth London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and discuss the latest trends in the field.This time we go fully remote, given the COVID-19 situation and the impossibility…
This blog post explains how to list, upload and delete feature and model stores in Apache Solr for learning to rank.
This blog post is about several analysis on a LTR model and its explanation using the open source library SHAP