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The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10)

Authors:

Roi Blanco,

B. Barla Cambazoglu,

Claudio LuccheseAuthors Info & Claims

ACM SIGIR Forum, Volume 44, Issue 2

Pages 54 - 58

https://doi.org/10.1145/1924475.1924486

Published: 03 January 2011 Publication History

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Abstract

The size of theWeb as well as user bases of search systems continue to grow exponentially. Consequently, providing subsecond query response times and high query throughput become quite challenging for large-scale information retrieval systems. Distributing different aspects of search (e.g., crawling, indexing, and query processing) is essential to achieve scalability in large-scale information retrieval systems. The 8th Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR'10) has provided a venue to discuss the current research challenges and identify new directions for distributed information retrieval. The workshop contained two industry talks as well as six research paper presentations. The hot topics in this year's workshop were collection selection architectures, application of MapReduce to information retrieval problems, similarity search, geographically distributed web search, and optimization techniques for search efficiency.

References

[1]

F. Cacheda, V. Carneiro, D. Fernández, and V. Formoso. Performance evaluation of largescale information retrieval systems scaling down. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 36--39. CEUR WS, 2010.

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[2]

A. Kulkarni and J. Callan. Topic-based index partitions for efficient and effective selective search. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 19--24. CEUR WS, 2010.

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[3]

G. D. F. Morales, C. Lucchese, and R. Baraglia. Scaling out all pairs similarity search with MapReduce. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 25--30. CEUR WS, 2010.

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[4]

A. Stupar, S. Michel, and R. Schenkel. RankReduce -- processing k-nearest neighbor queries on top of MapReduce. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 13--18. CEUR WS, 2010.

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A. Tigelaar and D. Hiemstra. Query-based sampling using snippets. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 7--12. CEUR WS, 2010.

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N. Tonellotto, C. Macdonald, and I. Ounis. Efficient dynamic pruning with proximity support. In Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, pages 31--35. CEUR WS, 2010.

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The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10)

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Published In

ACM SIGIR Forum Volume 44, Issue 2

December 2010

83 pages

ISSN:0163-5840

DOI:10.1145/1924475

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Association for Computing Machinery

New York, NY, United States

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Published: 03 January 2011

Published in SIGIR Volume 44, Issue 2

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Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014)

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013)

7th workshop on large-scale distributed systems for information retrieval (LSDS-IR'09)

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