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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 9 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
FIMI
2003
170views Data Mining» more  FIMI 2003»
13 years 10 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 2 days ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
ACL
2012
11 years 11 months ago
Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System
Social Event Radar is a new social networking-based service platform, that aim to alert as well as monitor any merchandise flaws, food-safety related issues, unexpected eruption o...
Wen-Tai Hsieh, Chen Ming Wu, Tsun Ku, Seng-cho Tim...
WWW
2004
ACM
14 years 9 months ago
A web personalization system based on web usage mining techniques
In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. In this work we pre...
Massimiliano Albanese, Antonio Picariello, Carlo S...