Context-Aware Recommender Systems in Mobile Scenarios

doi:10.4018/jitwe.2009010105

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Context-Aware Recommender Systems in Mobile Scenarios

Wolfgang Woerndl, Michele Brocco, Robert Eigner

Source Title: International Journal of Information Technology and Web Engineering (IJITWE)4(1)

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MLA

Woerndl, Wolfgang, et al. "Context-Aware Recommender Systems in Mobile Scenarios." IJITWE vol.4, no.1 2009: pp.67-85. http://doi.org/10.4018/jitwe.2009010105

APA

Woerndl, W., Brocco, M., & Eigner, R. (2009). Context-Aware Recommender Systems in Mobile Scenarios. International Journal of Information Technology and Web Engineering (IJITWE), 4(1), 67-85. http://doi.org/10.4018/jitwe.2009010105

Chicago

Woerndl, Wolfgang, Michele Brocco, and Robert Eigner. "Context-Aware Recommender Systems in Mobile Scenarios," International Journal of Information Technology and Web Engineering (IJITWE) 4, no.1: 67-85. http://doi.org/10.4018/jitwe.2009010105

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Abstract

In this article, we give an overview of ideas for integrating context in recommender systems in general and specifically in various mobile application domains. Our main case study is an approach for vehicular ad-hoc networks (VANETs). The system recommends gas stations based on driver preferences, ratings of other users and context information such as the current location and fuel level of a car. 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 also outline other mobile scenarios for contextualized recommender systems: a system for recommending mobile applications based on user context, an approach to find relevant resources in mobile semantic personal information management and a decentralized recommender system for personal digital assistants (PDAs).

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Context-Aware Recommender Systems in Mobile Scenarios

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