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SIGIR
2010
ACM

Inferring user intent in web search by exploiting social annotations

9 years 3 months ago
Inferring user intent in web search by exploiting social annotations
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on this representation that can be applied to any Web search engine. We perform a user experiment the results of which indicate that this type of representation is better at context extraction than using the actual textual content of the document. Categories and Subject Descriptors H.3.3 Information Search and Retrieval – retrieval models, information filtering. General Terms Algorithms, Experimentation. Keywords Web search, folksonomy, context.
Jose M. Conde, David Vallet, Pablo Castells
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2010
Where SIGIR
Authors Jose M. Conde, David Vallet, Pablo Castells
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