A context-aware gas station recommender system for vehicular ad-hoc networks

Wolfgang Woerndl, Michele Broceo, Robert Eigner

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

3 Scopus citations

Abstract

This paper describes a context-aware recommender system for vehicular ad-hoc networks (VANETs). The application scenario is a recommender for gas stations based on driver preferences, ratings of other users and context information such as the current location and fuel level. We explain the main design issues behind our recommender. Our approach first filters items based on preferences and context, and then takes ratings of other users and additional information into account, which can be relayed from car-to-car in a VANET. We have implemented the recommender system and conducted basic tests using real world data to show the feasibility of our approach.

Original languageEnglish
Title of host publicationMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Wireless Applications and Computing 2008 and Telecommunications, Networks and Systems 2008
Pages101-108
Number of pages8
StatePublished - 2008
EventWireless Applications and Computing 2008 and Telecommunications, Networks and Systems 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems - Amsterdam, Netherlands
Duration: 22 Jul 200824 Jul 2008

Publication series

NameMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Wireless Applications and Computing 2008 and Telecommunications, Networks and Systems 2008

Conference

ConferenceWireless Applications and Computing 2008 and Telecommunications, Networks and Systems 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems
Country/TerritoryNetherlands
CityAmsterdam
Period22/07/0824/07/08

Keywords

  • Collaborative filtering
  • Context
  • Context-awareness
  • Recommender system
  • VANET
  • Vehicular ad-hoc networks

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