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» Faster top-k document retrieval using block-max indexes
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AACC
2004
Springer
13 years 10 months ago
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms
Searching on the Internet has grown in importance over the last few years, as huge amount of information is invariably accumulated on the Web. The problem involves locating the des...
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Th...
SIGIR
2011
ACM
12 years 7 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel
SIGMOD
2008
ACM
123views Database» more  SIGMOD 2008»
14 years 5 months ago
Query-based partitioning of documents and indexes for information lifecycle management
Regulations require businesses to archive many electronic documents for extended periods of time. Given the sheer volume of documents and the response time requirements, documents...
Soumyadeb Mitra, Marianne Winslett, Windsor W. Hsu
SIGIR
2011
ACM
12 years 7 months ago
Faster temporal range queries over versioned text
Versioned textual collections are collections that retain multiple versions of a document as it evolves over time. Important large-scale examples are Wikipedia and the web collect...
Jinru He, Torsten Suel
PVLDB
2008
174views more  PVLDB 2008»
13 years 4 months ago
Relaxation in text search using taxonomies
In this paper we propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a ...
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Chr...