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20-05-2017

Efficiency in information retrieval: introduction to special issue

Authors: David Hawking, Alistair Moffat, Andrew Trotman

Published in: Discover Computing | Issue 3/2017

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The efficiency of information retrieval (IR) algorithms has always been of interest to researchers at the computer science end of the IR field, and index compression techniques, intersection and ranking algorithms, and pruning mechanisms have been a constant feature of IR conferences and journals over many years. Efficiency is also of serious economic concern to operators of commercial web search engines, where a cluster of a thousand or more computers might participate in processing a single query, and where such clusters of machines might be replicated hundreds of times to handle the query load (Dean 2009). In this environment even relatively small improvements in query processing efficiency could potentially save tens of millions of dollars per year in terms of hardware and energy costs, and at the same time significantly reduce greenhouse gas emissions. …

next article Performance improvements for search systems using an integrated cache of lists + intersections

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Daoud, C. M., de Moura, E. S., Fernandes, D., da Silva, A. S., Rossi, C., & Carvalho, A. (2017). Waves: A fast multi-tier top-\(k\) query processing algorithm. Information Retrieval Journal. doi:10.1007/s10791-017-9298-6.

Dean, J. (2009). Challenges in building large-scale information retrieval systems. In Proc. 2nd ACM int. conf. on web search and data mining (WSDM 2009) (p. 1). doi:10.1145/1498759.1498761. Keynote presentation.

Gagie, T., Hartikainen, A., Karhu, K., Kärkkäinen, J., Navarro, G., Puglisi, S. J., & Sirén, J. (2017). Document retrieval on repetitive string collections. Information Retrieval Journal. doi:10.1007/s10791-017-9297-7.

Kim, Y., Callan, J., Culpepper, J. S., & Moffat, A. (2017). Efficient distributed selective search. Information Retrieval Journal. doi:10.1007/s10791-016-9290-6.

Lin, J., & Trotman, A. (2017). The role of index compression in score-at-a-time query evaluation. Information Retrieval Journal. doi:10.1007/s10791-016-9291-5.

Tolosa, G., Feuerstein, E., Becchetti, L., & Marchetti-Spaccamela, A. (2017). Performance improvements for search systems using an integrated cache of \(\text{lists}+\text{ intersections }\). Information Retrieval Journal. doi:10.1007/s10791-017-9299-5.

Title: Efficiency in information retrieval: introduction to special issue
Authors: David Hawking
Alistair Moffat
Andrew Trotman
Publication date: 20-05-2017
Publisher: Springer Netherlands
Published in: Discover Computing / Issue 3/2017
Print ISSN: 2948-2984
Electronic ISSN: 2948-2992
DOI: https://doi.org/10.1007/s10791-017-9309-7

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Other articles of this Issue 3/2017

The role of index compression in score-at-a-time query evaluation

Document retrieval on repetitive string collections

Efficient distributed selective search

Waves: a fast multi-tier top-k query processing algorithm

Performance improvements for search systems using an integrated cache of lists + intersections

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