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» Interactive Object-Based Retrieval Using Relevance Feedback
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CIKM
2005
Springer
14 years 2 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
HICSS
2006
IEEE
119views Biometrics» more  HICSS 2006»
14 years 3 months ago
Increasing Relevance of Smoking Cessation Messages in an Online Software Agent Environment
An online software agent that helps smokers quit was designed and tested. We created a library of categorized smoking cessation messages using meta-data corresponding to the Stage...
Todd Shimoda, Linda Stapel
AMR
2006
Springer
119views Multimedia» more  AMR 2006»
13 years 11 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa...
HT
1997
ACM
14 years 1 months ago
What the Query Told the Link: The Integration of Hypertext and Information Retrieval
Traditionally hypertexts have been limited in size by the manual effort required to create hypertext links. In addition, large hyper–linked collections may overwhelm users with ...
Gene Golovchinsky
SIGIR
2005
ACM
14 years 2 months ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Himanshu Sharma, Bernard J. Jansen