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113
Voted
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 4 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
105
Voted
AIR
2005
85views more  AIR 2005»
15 years 1 months ago
On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
The paradox of fuzzy modeling is recognized due to the co-existence of its effectiveness of solving uncertain problems in the real world and the skepticism of its reasonability in ...
Shaopei Lin
SAC
2009
ACM
15 years 8 months ago
Defending online reputation systems against collaborative unfair raters through signal modeling and trust
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
VLDB
2002
ACM
110views Database» more  VLDB 2002»
15 years 1 months ago
Eliminating Fuzzy Duplicates in Data Warehouses
The duplicate elimination problem of detecting multiple tuples, which describe the same real world entity, is an important data cleaning problem. Previous domain independent solut...
Rohit Ananthakrishna, Surajit Chaudhuri, Venkatesh...
101
Voted
EDBT
2008
ACM
125views Database» more  EDBT 2008»
16 years 2 months ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen