Towards a Better Understanding of Context and Context-Awareness

Abowd, Gregory D.; Dey, Anind K.; Brown, P. J.; Davies, Nigel; Smith, Mark A.; Steggles, Pete

doi:10.1007/3-540-48157-5_29

Cited by 1,829 publications

(1,063 citation statements)

References 15 publications

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“…The research on context made a significant step forward in the 90's, when the research community raised the problem of representing context-aware user and system activities [5]. While the community of computer science professionals initially perceived the context only as a matter of user location and time, this notion has been extended including, in the idea of context, other personalization aspects like current user interests, current role of the user in the system, the company the user keeps at the moment, and possibly other situational dimensions that may depend on the specific application at hand [6].…”

Section: Context Awarenessmentioning

confidence: 99%

On the Role of Context in the Design of Mobile Mashups

Cassani

Gianelli

Matera

et al. 2017

Communications in Computer and Information Science

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Abstract. This paper presents a design methodology and an accompanying platform for the design and fast development of Context-Aware Mobile mashUpS (CAMUS). The approach is characterized by the role given to context as a first-class modeling dimension used to support i) the identification of the most adequate resources that can satisfy the users' situational needs and ii) the consequent tailoring at runtime of the provided data and functions. Context-based abstractions are exploited to generate models specifying how data returned by the selected services have to be merged and visualized by means of integrated views. Thanks to the adoption of Model-Driven Engineering (MDE) techniques, these models drive the flexible execution of the final mobile app on target mobile devices. A prototype of the platform, making use of novel and advanced Web and mobile technologies, is also illustrated.

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Section: Context Awarenessmentioning

confidence: 99%

On the Role of Context in the Design of Mobile Mashups

Cassani

Gianelli

Matera

et al. 2017

Communications in Computer and Information Science

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“…An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves." [1] This definition hardly limits the set of variables that can be considered when performing recommendation.…”

Section: Related Workmentioning

confidence: 99%

Differential Context Relaxation for Context-Aware Travel Recommendation

Zheng

Burke

Mobasher

2012

Lecture Notes in Business Information Processing

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Abstract. Context-aware recommendation (CARS) has been shown to be an effective approach to recommendation in a number of domains. However, the problem of identifying appropriate contextual variables remains: using too many contextual variables risks a drastic increase in dimensionality and a loss of accuracy in recommendation. In this paper, we propose a novel treatment of contextidentifying influential contexts for different algorithm components instead of for the whole algorithm. Based on this idea, we take traditional user-based collaborative filtering (CF) as an example, decompose it into three context-sensitive components, and propose a hybrid contextual approach. We then identify appropriate relaxations of contextual constraints for each algorithm component. The effectiveness of context relaxation is demonstrated by comparison of three algorithms using a travel data set: a contenxt-ignorant approach, contextual pre-filtering, and our hybrid contextual algorithm. The experiments show that choosing an appropriate relaxation of the contextual constraints for each component of an algorithm outperforms strict application of the context.

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“…This context information 2 is used to initiate services and contents adaptation. In the application area of this paper particularly personalized web applications for mobile devices have to be concerned that adapt web applications according the user and according the used device [18][19][20][21]. The usage of rule-or policy-based systems based on artificial intelligence concepts are one standard approach when designing systems for context-aware services.…”

Section: Related Workmentioning

confidence: 99%