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» Methods for comparing rankings of search engine results
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NIPS
2003
14 years 5 hour ago
Ranking on Data Manifolds
The Google search engine has enjoyed huge success with its web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the web using random walks....
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivi...
SEMWEB
2009
Springer
14 years 5 months ago
Using Naming Authority to Rank Data and Ontologies for Web Search
Abstract. The focus of web search is moving away from returning relevant documents towards returning structured data as results to user queries. A vital part in the architecture of...
Andreas Harth, Sheila Kinsella, Stefan Decker
CN
1998
207views more  CN 1998»
13 years 10 months ago
The Anatomy of a Large-Scale Hypertextual Web Search Engine
In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the...
Sergey Brin, Lawrence Page
SIGIR
2012
ACM
12 years 1 months ago
To index or not to index: time-space trade-offs in search engines with positional ranking functions
Positional ranking functions, widely used in web search engines, improve result quality by exploiting the positions of the query terms within documents. However, it is well known ...
Diego Arroyuelo, Senén González, Mau...
CIKM
2010
Springer
13 years 9 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...