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» Predicting user interests from contextual information
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GRC
2007
IEEE
14 years 10 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
BMCBI
2005
120views more  BMCBI 2005»
14 years 9 months ago
pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties
Background: Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of pre...
Deepak Sarda, Gek Huey Chua, Kuo-Bin Li, Arun Kris...
IRAL
2003
ACM
15 years 3 months ago
Extraction of user preferences from a few positive documents
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
Byeong Man Kim, Qing Li, Jong-Wan Kim
IUI
2006
ACM
15 years 3 months ago
A hybrid learning system for recognizing user tasks from desktop activities and email messages
The TaskTracer system seeks to help multi-tasking users manage the resources that they create and access while carrying out their work activities. It does this by associating with...
Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jon...
DEXA
2005
Springer
109views Database» more  DEXA 2005»
15 years 3 months ago
An XML Approach to Semantically Extract Data from HTML Tables
Abstract. Data intensive information is often published on the internet in the format of HTML tables. Extracting some of the information that is of users’ interest from the inter...
Jixue Liu, Zhuoyun Ao, Ho-Hyun Park, Yongfeng Chen