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CIKM
2010
Springer
13 years 6 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 6 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
ISSRE
2010
IEEE
13 years 5 months ago
Characterizing Failures in Mobile OSes: A Case Study with Android and Symbian
Abstract—As smart phones grow in popularity, manufacturers are in a race to pack an increasingly rich set of features into these tiny devices. This brings additional complexity i...
Amiya Kumar Maji, Kangli Hao, Salmin Sultana, Saur...
JACM
2010
137views more  JACM 2010»
13 years 5 months ago
Reconciling description logics and rules
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
Boris Motik, Riccardo Rosati
JFP
2010
107views more  JFP 2010»
13 years 5 months ago
Lightweight checkpointing for concurrent ML
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Suresh Jagannathan
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