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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
9 years 7 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
9 years 7 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
KDD
2010
ACM
207views Data Mining» more  KDD 2010»
9 years 7 months ago
Evaluating online ad campaigns in a pipeline: causal models at scale
David Chan, Rong Ge, Ori Gershony, Tim Hesterberg,...
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
9 years 7 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
9 years 7 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
9 years 7 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
9 years 7 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
KDD
2010
ACM
263views Data Mining» more  KDD 2010»
9 years 7 months ago
Social action tracking via noise tolerant time-varying factor graphs
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
9 years 7 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
9 years 7 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
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