The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software. The project is best known for its Indri search engine, Lemur Toolbar, and ClueWeb09 dataset. Our software and datasets are used widely in scientific and research applications, as well as in some commercial applications. The Lemur Project’s software development philosophy emphasizes state-of-the-art accuracy, flexibility, and efficiency. For example, the Indri search engine provides accurate search for large text collections ’out of the box’, and data is stored in an accessible manner to support development of new retrieval strategies. Software from the Lemur Project is distributed under open-source licenses that provide flexibility to scientists and software developers. The Lemur Project was begun by the Center for Intelligent Information Retrieval (CIIR) at the University of Massachusetts, Amherst, and the Language Technologies Institute (LTI) at Carnegie Mellon University. For more information about the Lemur Project, see the About page.

References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Yanshan Wang, Hongfang Liu: MatLM: a Matrix Formulation for Probabilistic Language Models (2016) arXiv
  2. Bache, Richard; Ballie, Mark; Crestani, Fabio: The likelihood property in general retrieval operations (2013) ioport
  3. Vanderbauwhede, Wim; Chalamalasetti, S. R.; Margala, M.: Throughput analysis for a high-performance FPGA-accelerated real-time search application (2012) ioport
  4. Murugesan, Mummoorthy; Jiang, Wei; Clifton, Chris; Si, Luo; Vaidya, Jaideep: Efficient privacy-preserving similar document detection (2010) ioport
  5. Paltoglou, Georgios; Salampasis, Michail; Satratzemi, Maria: Collection-integral source selection for uncooperative distributed information retrieval environments (2010) ioport
  6. Wei, Shikui; Zhao, Yao; Zhu, Zhenfeng; Liu, Nan: A cooperative learning scheme for interactive video search (2010) ioport
  7. Buckley, Chris: Why current IR engines fail (2009) ioport
  8. Clarke, Charles L. A.; Cormack, Gordon V.; Lynam, Thomas R.; Buckley, Chris; Harman, Donna: Swapping documents and terms (2009) ioport
  9. Losada, David E.; Azzopardi, Leif: An analysis on document length retrieval trends in language modeling smoothing (2008) ioport
  10. Talvensaari, Tuomas; Pirkola, Ari; Järvelin, Kalervo; Juhola, Martti; Laurikkala, Jorma: Focused web crawling in the acquisition of comparable corpora (2008) ioport
  11. Kettunen, Kimmo; Airio, Eija; Järvelin, Kalervo: Restricted inflectional form generation in management of morphological keyword variation (2007) ioport
  12. Lin, Jimmy; Wilbur, W. John: Pubmed related articles: a probabilistic topic-based model for content similarity (2007) ioport
  13. Cronen-Townsend, Steve; Zhou, Yun; Croft, W. Bruce: Precision prediction based on ranked list coherence (2006) ioport
  14. Lu, Jie; Callan, Jamie: Full-text federated search of text-based digital libraries in peer-to-peer networks (2006) ioport
  15. Wei, Xing; Croft, Bruce; McCallum, Andrew: Table extraction for answer retrieval (2006) ioport
  16. Wu, Shengli; Gibb, Forbes; Crestani, Fabio: Experiments with document archive size detection (2003)