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» NAGA: Searching and Ranking Knowledge
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CIKM
2005
Springer
15 years 5 months ago
Biasing web search results for topic familiarity
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Giridhar Kumaran, Rosie Jones, Omid Madani
SIGIR
2005
ACM
15 years 5 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
SOCIALCOM
2010
14 years 9 months ago
Precursors and Laggards: An Analysis of Semantic Temporal Relationships on a Blog Network
We explore the hypothesis that it is possible to obtain information about the dynamics of a blog network by analysing the temporal relationships between blogs at a semantic level, ...
Telmo Menezes, Camille Roth, Jean-Philippe Cointet
WWW
2009
ACM
16 years 11 days ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
MIDDLEWARE
2007
Springer
15 years 5 months ago
Combining ontology queries with key word search in the GloServ service discovery system
GloServ is a global service discovery system which aggregates different types of services in a globally distributed network. It improves on current service discovery systems by sc...
Knarig Arabshian, Henning Schulzrinne