Context Adaptivity as Enabler for Meaningful Pervasive Advertising
Christine Bauer

TL;DR
This paper emphasizes the importance of context recognition over socio-demographic profiles for personalized pervasive advertising and proposes a methodology for conceptualizing context to enhance system adaptability.
Contribution
It introduces a novel methodology for conceptualizing context in pervasive advertising, addressing a gap in existing scattered and prototype-driven research.
Findings
Literature analysis highlights the potential of context recognition.
Proposed methodology aims to standardize context conceptualization.
Research is ongoing to develop a comprehensive framework.
Abstract
Socio-demographic user profiles are currently regarded as the most convenient base for successful personalized advertising. However, signs point to the dormant power of context recognition. While technologies that can sense the environment are increasingly advanced, questions such as what to sense and how to adapt to a consumer's context are largely unanswered. Research in the field is scattered and frequently prototype-driven. What the community lacks is a thorough methodology to provide the basis for any context-adaptive system: conceptualizing context. This position paper describes our current research of conceptualizing context for pervasive advertising. It summarizes findings from literature analysis and proposes a methodology for context conceptualization, which is currently work-in-progress.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · Innovative Human-Technology Interaction · Human Mobility and Location-Based Analysis
