When media gets wise: Collaborative filtering with mobile media agents

Mattias Jacobsson*, Mattias Rost, Lars Erik Holmquist

*Corresponding author for this work

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

19 Citations (Scopus)

Abstract

We present a model where media (e.g. music files) are autonomous entities that carry their own individual information. Our goal is to turn such files into autonomous, rule-following agents capable of building their own identities from interactions with other agents and users, We are exploring how collaborative filtering-like behaviour could emerge out of large ensembles of interacting agents, which are distributed over mobile devices in social networks. We have implemented a first version of the model in the form of a music player application for mobile devices, called Push!Music. This system takes advantage of active recommendations as well as implicit user activity to build a profile for each media file.

Original languageEnglish
Title of host publicationIUI '06 Proceedings of the 11th international conference on Intelligent user interfaces
PublisherACM
Pages291-293
Number of pages3
Volume2006
ISBN (Electronic)9781595932877
DOIs
Publication statusPublished - 29 Jan 2006
Externally publishedYes
EventIUI 06 - 2006 International Conference on Intelligent User Interfaces - Sydney, Australia
Duration: 29 Jan 20051 Feb 2005

Conference

ConferenceIUI 06 - 2006 International Conference on Intelligent User Interfaces
Country/TerritoryAustralia
CitySydney
Period29/01/051/02/05

Keywords

  • Active Recommendation
  • Distributed Collaborative Filtering
  • Emergence
  • Media Agents
  • Media Ecologies

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