Intra-query Concurrent Pipelined Processing for Distributed Full-Text Retrieval-Reference-Cited by-同舟云学术

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Intra-query Concurrent Pipelined Processing for Distributed Full-Text Retrieval

Published:2012 Issue: Volume: Page:413-425
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Jonassen Simon,Bratsberg Svein Erik

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-28997-2_35

Reference20 articles.

1. Badue, C., Baeza-Yates, R., Ribeiro-Neto, B., Ziviani, N.: Distributed query processing using partitioned inverted files. In: SPIRE (2001)

2. Büttcher, S., Clarke, C.L.A., Cormack, G.V.: Information Retrieval: Implementing and Evaluating Search Engines. The MIT Press (2010)

3. Ding, S., Suel, T.: Faster top-k document retrieval using block-max indexes. In: SIGIR (2011)

4. Lecture Notes in Computer Science;E. Feuerstein,2009

5. Lecture Notes in Computer Science;S. Jonassen,2010

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1. An NVM SSD-based High Performance Query Processing Framework for Search Engines;IEEE Transactions on Knowledge and Data Engineering;2022

2. Improving Dynamic Index Pruning via Linear Programming;Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval;2015-10-22

3. Improving the performance of pipelined query processing with skipping—and its comparison to document-wise partitioning;World Wide Web;2013-10-22

4. A term-based inverted index partitioning model for efficient distributed query processing;ACM Transactions on the Web;2013-09

5. Decoding billions of integers per second through vectorization;Software: Practice and Experience;2013-05-28

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