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» Predicting user interests from contextual information
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WSDM
2012
ACM
290views Data Mining» more  WSDM 2012»
13 years 5 months ago
Online selection of diverse results
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwa...
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
15 years 11 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard Gr...
SIGECOM
2004
ACM
129views ECommerce» more  SIGECOM 2004»
15 years 3 months ago
Evaluating example-based search tools
A crucial element in consumer electronic commerce is a catalog tool that not only finds the product for the user, but also convinces him that he has made the best choice. To do th...
Pearl Huan Z. Pu, Pratyush Kumar
AUSAI
2003
Springer
15 years 3 months ago
Combining Multiple Host-Based Detectors Using Decision Tree
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
Sang-Jun Han, Sung-Bae Cho
EMNLP
2009
14 years 7 months ago
Mining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...