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INTERSPEECH
2010
13 years 4 months ago
Say what? why users choose to speak their web queries
The context in which a speech-driven application is used (or conversely not used) can be an important signal for recognition engines, and for spoken interface design. Using large-...
Maryam Kamvar, Doug Beeferman
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
15 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...
WWW
2009
ACM
14 years 10 months ago
Identifying vertical search intention of query through social tagging propagation
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to p...
Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng C...
AIRWEB
2008
Springer
13 years 11 months ago
Cleaning search results using term distance features
The presence of Web spam in query results is one of the critical challenges facing search engines today. While search engines try to combat the impact of spam pages on their resul...
Josh Attenberg, Torsten Suel
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
14 years 3 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...