Indri at TREC 2004: Terabyte Track

By Donald Metzler, Trevor Strohman, Howard R. Turtle, W. Bruce Croft. 2004

73 citations recorded by the source corpus.

Subfields: Information Retrieval & Search, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Retrieval & Search

1. Jimmy J. Lin
2. Rodrigo Nogueira
3. Andrew Yates
4. Jamie Callan
5. Zeynep Akkalyoncu Yilmaz
6. Allan Hanbury
7. Sebastian Hofstätter
8. Guido Zuccon

In Evaluation & Benchmarks

1. Rodrigo Nogueira
2. Jimmy J. Lin
3. Andrew Yates
4. John Foley
5. Jamie Callan
6. Craig Macdonald
7. Andrew Trotman
8. Guido Zuccon

Citations in the corpus

• Pretrained Transformers for Text Ranking: BERT and Beyond (2020, background): “mple, to showcase new ranking models, query evaluation algorithms, or index organizations. An incomplete list, past and present, includes (in an arbitrary order) Lemur/Indri [Metzler and Croft, 2004, Metzler et al., 2004], Galago [Cartright et al., 2012], Terrier [Ounis et al., 2006, Macdonald et al”
• Anserini (2018, background): “An incomplete list includes Lemur/Indri [38, 39], Galago [15], Terrier [35, 42], ATIRE [51], Ivory [30], JASS [31], MG4J [12], [60, 61].”
• From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance (2020, background): “The tradition continues to this day, with Lemur/Indri [12, 13] and Terrier [8, 14] being the most successful examples of open-source academic search engines, still popular with many researchers today.”
• The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017 (2017, methodology): “An incomplete list includes SMART [18], Lemur/Indri [15, 16], Galago [8], Terrier [14, 17], ATIRE [20], Ivory [12], JASS [13], MG4J [6], Wumpus [21], and ZeŠair [25].”
• Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge (2016, methodology): “In total, developers from seven open-source systems participated (in alphabetical order): ATIRE [16], Galago [6], Indri [10,12], JASS [9], Lucene [2], MG4J [3], and Terrier [14].”
• An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures (2017, background): “To address this challenge, many academic research groups have built and shared open-source search engines with the broader community—prominent examples include Lemur/Indri [9, 10] and Terrier [7, 13].”