Sciweavers

375 search results - page 10 / 75
» On ranking techniques for desktop search
Sort
View
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
16 years 9 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
14 years 10 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...
SIGIR
2004
ACM
15 years 3 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill
SIGMOD
2008
ACM
118views Database» more  SIGMOD 2008»
14 years 9 months ago
NAGA: harvesting, searching and ranking knowledge
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
163
Voted
SIGMOD
2007
ACM
232views Database» more  SIGMOD 2007»
15 years 9 months ago
BLINKS: ranked keyword searches on graphs
Query processing over graph-structured data is enjoying a growing number of applications. Keyword search on a graph finds a set of answers, each of which is a substructure of the ...
Haixun Wang, Hao He, Jun Yang 0001, Philip S. Yu