Task context-aware e-mail platform for collaborative tasks
TL;DR: A task context-aware e-mail platform that helps users to send e-mails quickly and efficiently and enables users to automatically classify task-related information and user support services using a task context model.
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Abstract: E-mail communication has become an essential part of collaborative tasks in enterprises However, when conventional e-mail applications are used for collaborative tasks, problems with task-related resources management arise In this paper, we present a task context-aware e-mail platform that helps users to send e-mails quickly and efficiently This platform also automatically extracts data from reply e-mail messages It enables users to automatically classify task-related information and user support services using a task context model The task context model is built based on ontology as a semantic representation of the associations between task and task-related e-mail processes This paper describes the design and implementation of this system on the basis of the task context model To verify the efficacy of the prototype system, we conducted experiments that demonstrate the systems effective task awareness and user support services
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Citations
An improved collaborative recommendation algorithm based on optimized user similarity
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TL;DR: Wang et al. as mentioned in this paper proposed an improved collaborative recommendation algorithm based on optimized user similarity, where a balancing factor is added to the traditional cosine similarity algorithm, which is used to calculate the project rating scale differences between different users.
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An optimized data integration model based on reverse cleaning for heterogeneous multi-media data
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TL;DR: The quality of the integrated data is significantly higher than thequality of the original data, and a data accuracy assessment algorithm is designed for data quality assessment, which is based on Bayesian network and the path condition algorithm.
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•Dissertation
Supporting the context life cycle in service-oriented computing
Oscar Jair Cabrera Bejar
- 19 Jun 2017
TL;DR: The context model and the architecture proposed in this PhD thesis are validated through different scenarios and use cases, highlighting their integration in SUPERSEDE (www.supersede.eu), a European project in the H2020 program for fulfilling some requirements of data acquisition and management demonstrating that the context life cycle is supported.
3
Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events
Bilas Halder,Md. Hridoy Chowdhury,Md. Saidur Rahman Kohinoor +2 more
- 07 Oct 2022
TL;DR: The Look-After smart assistant as discussed by the authors enables the user to keep track of all of his tasks and events in a personalized manner by automatically detecting any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time.
2
Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events
07 Oct 2022
TL;DR: The Look-After smart assistant as mentioned in this paper enables the user to keep track of all of his tasks and events in a personalized manner by automatically detecting any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time.
2
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