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SIGIR
2005
ACM
16 years 16 hour ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...
WWW
2007
ACM
16 years 7 months ago
Improving Ontology Recommendation and Reuse in WebCORE by Collaborative Assessments
In this work, we present an extension of CORE [2], a tool for Collaborative Ontology Reuse and Evaluation. The system receives an informal description of a specific semantic domai...
Iván Cantador, Miriam Fernández, Pab...
DICTA
2003
15 years 7 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
WWW
2011
ACM
15 years 1 months ago
Blognoon: exploring a topic in the blogosphere
We demonstrate Blognoon, a semantic blog search engine with the focus on topic exploration and navigation. Blognoon provides concept search instead of traditional keywords search ...
Maria P. Grineva, Maxim Grinev, Dmitry Lizorkin, A...
SIGIR
2009
ACM
16 years 29 days ago
The impact of crawl policy on web search effectiveness
Crawl selection policy has a direct influence on Web search effectiveness, because a useful page that is not selected for crawling will also be absent from search results. Yet th...
Dennis Fetterly, Nick Craswell, Vishwa Vinay