Context-aware content filtering & presentation for pervasive & mobile information systems

Abstract : What constitutes relevant information to an individual may vary widely under different contexts. However, previous work on pervasive information systems has mostly focused on context-aware delivery of application-specific information. Such systems are only able to operate within narrow application domains and cannot be generalized to handle other heterogeneous types of information. To fill this gap, we propose a context-aware system for information integration that can handle arbitrary information types and determine their relevance to the user's current context. In contrast to existing model-based approaches to context reasoning, we log user interaction and perform usage mining using OLAP to discover context-dependent preferences for different information types. This allows us to build a more generic and adaptive system that automatically selects the most relevant content and presents it to the user in a succinct manner that supports ease of consumption and comprehension
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Conference papers
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Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Wednesday, October 5, 2016 - 11:41:09 AM
Last modification on : Sunday, October 20, 2019 - 9:48:01 AM


  • HAL Id : hal-01376583, version 1


Kaijian Xu, Manli Zhu, Daqing Zhang, Tao Gu. Context-aware content filtering & presentation for pervasive & mobile information systems. Ambi-sys 2008 : 1st International Conference on Ambient Media and Systems, Feb 2008, Quebec, Canada. ⟨hal-01376583⟩



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