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» Term Ranking for Clustering Web Search Results
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AI
2008
Springer
15 years 4 months ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
SIGIR
2003
ACM
15 years 3 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can
NOTERE
2010
14 years 4 months ago
Experimental assessment of the TARGET adaptive ontology-based Web search framework
Finding relevant information on the Web can be a complex task for most of the users. Although Web search applications are improving, they still need to be more intelligent to adapt...
Nicolas Guelfi, Cédric Pruski, Chantal Reyn...
SIGMOD
2008
ACM
206views Database» more  SIGMOD 2008»
15 years 10 months ago
Ad-hoc aggregations of ranked lists in the presence of hierarchies
A variety of web sites and web based services produce textual lists at varying time granularities ranked according to several criteria. For example, Google Trends produces lists o...
Nilesh Bansal, Sudipto Guha, Nick Koudas
CLEF
2010
Springer
14 years 11 months ago
TALP at WePS-3 2010
In this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3) task for clustering web people search documents in English. In our experiments ...
Daniel Ferrés, Horacio Rodríguez