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» Elicitation and use of relevance feedback information
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KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 2 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
ICIP
2001
IEEE
15 years 11 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
IJCAI
1989
14 years 11 months ago
Comparing the Conceptual Systems of Experts
The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expe...
Brian R. Gaines, Mildred L. G. Shaw
GROUP
2009
ACM
15 years 4 months ago
Motivated by information: information about online collective action as an incentive for participation
This paper describes research focused on understanding the role of incomplete structural information about online collective action systems in participation decisions. Specificall...
Judd Antin