From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance
By Adrien Grand, R. Muir, Jim Ferenczi, Jimmy J. Lin. 2020
24 citations recorded by the source corpus.
The latest major release of Lucene (version 8) in March 2019 incorporates block-max indexes and exploits the block-max variant of Wand for query evaluation, which are innovations that originated from academia. This paper shares the story of how this came to be, which provides an interesting case study at the intersection of reproducibility and academic research achieving impact in the “real world”. We offer additional thoughts on the often idiosyncratic processes by which academic research makes its way into deployed solutions.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Retrieval & Search, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jimmy J. Lin
- Andrew Yates
- Rodrigo Nogueira
- Zeynep Akkalyoncu Yilmaz
- Sebastian Hofstätter
- Allan Hanbury
- Zhuyun Dai
- Jamie Callan
In Computer Networks and Communications
In Information Retrieval & Search
- Jimmy J. Lin
- Rodrigo Nogueira
- Andrew Yates
- Zeynep Akkalyoncu Yilmaz
- Sebastian Hofstätter
- Allan Hanbury
- Zhuyun Dai
- Wei Yang
In Signal Processing
Citations in the corpus
- Pretrained Transformers for Text Ranking: BERT and Beyond (2020, background): “that research innovation might have a short path to real-world impact; see, Grand et al. [2020] for an example case study.”