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» Implicit user modeling for personalized search
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CIKM
2011
Springer
12 years 7 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...
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 2 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
CIKM
2009
Springer
14 years 8 days ago
iMecho: an associative memory based desktop search system
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is...
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
WWW
2009
ACM
14 years 8 months ago
Bucefalo: a tool for intelligent search and filtering for web-based personal health records
In this poster, a tool named BUCEFALO is presented. This tool is specially designed to improve the information retrieval tasks in web-based Personal Health Records (PHR). This too...
Francisco P. Romero, Jesús Serrano-Guerrero...
SIGIR
2010
ACM
13 years 11 months ago
Context-aware ranking in web search
The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused ...
Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, En...