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Abstract: Large web search engines have to answer thousands of queries per second with interactive response times. A major factor in the cost of executing a query is given by the lengths of the inverted lists for the query terms, which increase with the size of the document collection and are often in the range of many megabytes. To address this issue, IR and database researchers have proposed pruning techniques that compute or approximate term-based ranking functions without scanning over the full... (Update)
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4: Optimal aggregation algorithms for middleware
- Fagin, Lotem et al. - 2001
4: Managing gigabytes: compressing and indexing documents and images
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3: Filtered document retrieval with frequency-sorted indexes
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BibTeX entry: (Update)
X. Long and T. Suel. Optimized Query Execution in Large Search Engines with Global Page Ordering. In VLDB'03, 2003. http://citeseer.ist.psu.edu/long03optimized.html More
@misc{ long03optimized,
author = "X. Long and T. Suel",
title = "Optimized Query Execution in Large Search Engines with Global Page Ordering",
text = "X. Long and T. Suel. Optimized Query Execution in Large Search Engines
with Global Page Ordering. In VLDB'03, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/long03optimized.html" }
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Finding authorities and hubs from link structures on the Wor..
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Design and implementation of a high-performance distributed ..
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