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» Context-Dependent Term Relations for Information Retrieval
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CIKM
2011
Springer
13 years 9 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
ISEMANTICS
2010
14 years 11 months ago
Geographical linked data: a Spanish use case
We present the process that has been followed for the development of an application that makes use of several heterogeneous Spanish public datasets that are related to administrat...
Alexander de León, Victor Saquicela, Luis M...
WWW
2004
ACM
15 years 10 months ago
Providing ranked relevant results for web database queries
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to ...
Ullas Nambiar, Subbarao Kambhampati
SIGIR
2002
ACM
14 years 9 months ago
Detecting and Browsing Events in Unstructured text
Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative docu...
David A. Smith
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang