Volatile multi-armed bandits for guaranteed targeted social crawling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We introduce a new variant of the multi-armed bandit problem, called Volatile Multi-Arm Bandit (VMAB). A general policy for VMAB is given with proven regret bounds. The problem of collecting intelligence on profiles in social networks is then modeled as a VMAB and experimental results show the superiority of our proposed policy.

Original languageAmerican English
Title of host publicationLate-Breaking Developments in the Field of Artificial Intelligence - Papers Presented at the 27th AAAI Conference on Artificial Intelligence, Technical Report
PublisherAI Access Foundation
Number of pages3
ISBN (Print)9781577356288
StatePublished - 1 Jan 2013
Event27th AAAI Conference on Artificial Intelligence, AAAI 2013 - Bellevue, WA, United States
Duration: 14 Jul 201318 Jul 2013

Publication series

NameAAAI Workshop - Technical Report


Conference27th AAAI Conference on Artificial Intelligence, AAAI 2013
Country/TerritoryUnited States
CityBellevue, WA

All Science Journal Classification (ASJC) codes

  • General Engineering

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