On the analysis and evaluation of information retrieval models for social book search

Author:

Ullah IrfanORCID,Khusro ShahORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference81 articles.

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2. Amati G (2003) Probability models for information retrieval based on divergence from randomness. PhD Thesis, University of Glasgow, Glasgow, Scotland. Available at: https://theses.gla.ac.uk/1570/

3. Amati G (2006) Frequentist and Bayesian approach to information retrieval. In: Lalmas M, MacFarlane A, Rüger S, Tombros A, Tsikrika T, Yavlinsky A (eds) The 28th European conference on Advances in Information Retrieval, ECIR'06, Berlin, Heidelberg, April 2006. Advances in information retrieval. Springer Berlin Heidelberg, pp 13–24. https://doi.org/10.1007/11735106_3

4. Amati G, Rijsbergen CJV (2002) Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans Inf Syst 20(4):357–389. https://doi.org/10.1145/582415.582416

5. Amati G, Ambrosi E, Bianchi M, Gaibisso C, Gambosi G 2007 FUB, IASI-CNR and University of Tor Vergata at TREC 2007 Blog track. In: Voorhees EM, Buckland LP (eds) 16th text REtrieval conference (TREC-2007), Gaithersburg, Maryland, USA, November 5–9, 2007. NIST Special Publication. National Institute of Standards and Technology. Available at: https://apps.dtic.mil/sti/citations/ADA512723. Accessed 21 July 2022

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