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» Evaluating the Robustness of Learning from Implicit Feedback
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SIGIR
2002
ACM
13 years 7 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose
DEXAW
2008
IEEE
185views Database» more  DEXAW 2008»
14 years 2 months ago
Axiom-Based Feedback Cycle for Relation Extraction in Ontology Learning from Text
—The ontology learning from text cycle consists of the consecutive phases of term, synonym, concept, taxonomy and relation extraction. In this paper, a proposal towards the unsup...
Witold Abramowicz, Maria Vargas-Vera, Marek Wisnie...
SIGIR
2008
ACM
13 years 7 months ago
Query expansion using gaze-based feedback on the subdocument level
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
Georg Buscher, Andreas Dengel, Ludger van Elst
WISE
2007
Springer
14 years 1 months ago
Learning Implicit User Interests Using Ontology and Search History for Personalization
Abstract. The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user’s interests and ...
Mariam Daoud, Lynda Tamine, Mohand Boughanem, Bila...
KES
2005
Springer
14 years 1 months ago
User Preference Learning for Multimedia Personalization in Pervasive Computing Environment
Pervasive computing environment and users’ demand for multimedia personalization precipitate a need for personalization tools to help people access desired multimedia content at ...
Zhiwen Yu, Daqing Zhang, Xingshe Zhou, Changde Li