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Title:
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A CONTEXT-AWARE GAS STATION RECOMMENDER SYSTEM FOR VEHICULAR AD-HOC NETWORKS |
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Author(s):
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Wolfgang Woerndl , Michele Brocco , Robert Eigner |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Jörg Roth and Jairo Gutiérrez |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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context, vehicular ad-hoc networks, VANET, recommender system, collaborative filtering, context-awareness |
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Type:
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Full Paper |
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First Page:
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101 |
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Last Page:
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108 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 |
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