Publication record · 18.cifr/2008.percom.pervasive-ad-targeting

Pervasive Advertising

v1.0.0

Jorg Muller (University of Munster), Florian Alt (University of Munster), Daniel Michelis (University of the Arts Berlin), Albrecht Schmidt (University of Duisburg-Essen)

RAI18.cifr/2008.percom.pervasive-ad-targeting

IEEE Pervasive Computing· 2008· doi:10.1109/MPRV.2008.13

Pervasive advertising applies pervasive computing technologies to deliver contextually relevant advertisements to users in physical spaces. This work describes a framework for context-aware ad matching in pervasive environments, using mobile user context signals such as location, time, and interests to rank and deliver relevant advertisements with minimal infrastructure.

pervasive advertisingcontext-aware computingmobile advertisinglocation-based servicesubiquitous computing

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Problem solved

Traditional digital advertising assumes persistent internet connectivity and ignores rich real-world context signals available on mobile devices. Advertisers lacked a principled method to deliver relevant ads in pervasive environments where users move through physical spaces with intermittent connectivity. This work formalizes context matching as a weighted multi-attribute scoring function for location-aware mobile advertising.

Novelty

The paper presents a context-aware pervasive advertising framework that leverages real-time mobile user context (location, time, preferences) to match advertisements dynamically in opportunistic networking environments. Unlike traditional web advertising, the system operates in a distributed, infrastructure-light manner. The key contribution is a context-matching scoring model that combines heterogeneous context signals for ad relevance ranking.

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Canvas contract1-in / 1-out · unpacked into user_profiles, advertisements legacy ports

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sha256:1cb37abcdc1c78ea8471a45088e7ba4ffe9ec859c2e1c5c286eecc7baaf26f81

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inputapplication/jsonoptional

Unified canvas input containing user_profiles and advertisements arrays

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