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CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 6 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
STOC
2003
ACM
152views Algorithms» more  STOC 2003»
16 years 4 days 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
WWW
2006
ACM
16 years 16 days 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
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 9 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
MOBISYS
2011
ACM
14 years 2 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