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» Providing ranked relevant results for web database queries
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ECIR
2003
Springer
13 years 9 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
TOCHI
2010
90views more  TOCHI 2010»
13 years 6 months ago
Potential for personalization
Current Web search tools do a good job of retrieving documents that satisfy the wide range of intentions that people associate with a query – but do not do a very good job of di...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
ESWS
2008
Springer
13 years 9 months ago
Q2Semantic: A Lightweight Keyword Interface to Semantic Search
The increasing amount of data on the Semantic Web offers opportunities for semantic search. However, formal query hinders the casual users in expressing their information need as t...
Haofen Wang, Kang Zhang, Qiaoling Liu, Thanh Tran,...
APWEB
2003
Springer
13 years 11 months ago
Mining "Hidden Phrase" Definitions from the Web
Keyword searching is the most common form of document search on the Web. Many Web publishers manually annotate the META tags and titles of their pages with frequently queried phras...
Hung V. Nguyen, P. Velamuru, Deepak Kolippakkam, H...
CIVR
2005
Springer
156views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Content-Based Object Movie Retrieval by Use of Relevance Feedback
Abstract. Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can ...
Li-Wei Chan, Cheng-Chieh Chiang, Yi-Ping Hung