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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 8 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
DATE
2009
IEEE
119views Hardware» more  DATE 2009»
13 years 11 months ago
Predictive models for multimedia applications power consumption based on use-case and OS level analysis
—Power management at any abstraction level is a key issue for many mobile multimedia and embedded applications. In this paper a design workflow to generate system-level power mo...
Patrick Bellasi, William Fornaciari, David Siorpae...
EDBT
2008
ACM
122views Database» more  EDBT 2008»
14 years 8 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...
SAC
2003
ACM
14 years 1 months ago
An Initial Investigation of Test Driven Development in Industry
Test Driven Development (TDD) is a software development practice in which unit test cases are incrementally written prior to code implementation. In our research, we ran a set of ...
Boby George, Laurie A. Williams