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» An Analysis of Factors Used in Search Engine Ranking
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 4 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
SODA
2004
ACM
89views Algorithms» more  SODA 2004»
13 years 10 months ago
The number of bit comparisons used by Quicksort: an average-case analysis
The analyses of many algorithms and data structures (such as digital search trees) for searching and sorting are based on the representation of the keys involved as bit strings and...
James Allen Fill, Svante Janson
PVLDB
2008
157views more  PVLDB 2008»
13 years 7 months ago
SEDA: a system for search, exploration, discovery, and analysis of XML Data
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information emb...
Andrey Balmin, Latha S. Colby, Emiran Curtmola, Qu...
CHI
2010
ACM
14 years 3 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan
CORR
2010
Springer
64views Education» more  CORR 2010»
13 years 9 months ago
A Trustability Metric for Code Search based on Developer Karma
The promise of search-driven development is that developers will save time and resources by reusing external code in their local projects. To efficiently integrate this code, user...
Florian S. Gysin, Adrian Kuhn