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CIKM
2009
Springer
14 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
JCDL
2010
ACM
140views Education» more  JCDL 2010»
14 years 28 days ago
Impact and prospect of social bookmarks for bibliographic information retrieval
This paper presents our ongoing study of the current/future impact of social bookmarks (or social tags) on information retrieval (IR). Our main research question asked in the pres...
Kazuhiro Seki, Huawei Qin, Kuniaki Uehara
CLOUD
2010
ACM
14 years 28 days ago
A self-organized, fault-tolerant and scalable replication scheme for cloud storage
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
13 years 8 months ago
I4E: interactive investigation of iterative information extraction
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
Anish Das Sarma, Alpa Jain, Divesh Srivastava
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 1 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare