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HT
2005
ACM
15 years 4 months ago
Searching a file system using inferred semantic links
We describe Eureka, a file system search engine that takes into account the inherent relationships among files in order to improve the rankings of search results. The key idea b...
Deepavali Bhagwat, Neoklis Polyzotis
ICDE
2006
IEEE
128views Database» more  ICDE 2006»
15 years 4 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an import...
Boanerges Aleman-Meza
CIKM
2009
Springer
15 years 5 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
14 years 11 months ago
Top-k Ranked Document Search in General Text Databases
Text search engines return a set of k documents ranked by similarity to a query. Typically, documents and queries are drawn from natural language text, which can readily be partiti...
J. Shane Culpepper, Gonzalo Navarro, Simon J. Pugl...
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
15 years 11 months ago
DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web
We describe DSPHERE1 - a decentralized system for crawling, indexing, searching and ranking of documents in the World Wide Web. Unlike most of the existing search technologies tha...
Bhuvan Bamba, Ling Liu, James Caverlee, Vaibhav Pa...