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161
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CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 10 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
140
Voted
STOC
2003
ACM
152views Algorithms» more  STOC 2003»
16 years 4 months ago
Reducing truth-telling online mechanisms to online optimization
We describe a general technique for converting an online algorithm B to a truthtelling mechanism. We require that the original online competitive algorithm has certain "nicen...
Baruch Awerbuch, Yossi Azar, Adam Meyerson
135
Voted
WWW
2006
ACM
16 years 4 months ago
Retroactive answering of search queries
Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service...
Beverly Yang, Glen Jeh
141
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
141
Voted
MOBISYS
2011
ACM
14 years 6 months ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen