Main blog
Welcome to our Main Blog, the cornerstone of our exploration into information retrieval. This dedicated space serves as a comprehensive repository where we delve into our research, findings, and various topics predominantly centered around information retrieval.
Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
Train and Test Sets Split for Evaluating Learning To Rank Models
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
Elasticsearch Disk Space Issue and Rollover Solution
What is a cluster_block_exception in Elasticsearch? How to solve it? Let's define an index management policy with a rollover strategy.
Have Neural Networks Killed the Inverted Index?
DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.
QueryResultCache and FilterCache in Apache Solr
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.
How the Feature Vector Cache Is Used in Apache Solr
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Tackling Vocabulary Mismatch with Document Expansion
Let's attenuate vocabulary mismatch by leveraging document expansion using two modern transformer-based approaches.
Apache Solr Neural Search
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
