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Surpassing farley files: opportunities and challenges on obtaining personally relevant information

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MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 385 - 386

https://doi.org/10.1145/1851600.1851677

Published: 07 September 2010 Publication History

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Abstract

The proliferation of personal devices and their constant awareness of our interactions have generated an enormous amount of data that can be useful to help the user obtaining relevant information when needed. Our approach uses the personal information on users' devices, together with public online sources, to provide relevant information from the user point of view. The information from the users' devices, due to its personal and credible character, works as a filter to the retrieved from other less trustable and structured sources. A preliminary evaluation, suggested that we can provide the user with inter-connected relevant information from heterogeneous sources. However, we found some limitations that led us to our current research challenges.

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Guerreiro, J., et al. 2010. Relating Personally Relevant Social Information from Heterogeneous Sources. IUI Workshop on UDISW, ACM Press.

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Index Terms

Surpassing farley files: opportunities and challenges on obtaining personally relevant information
1. Human-centered computing

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Published In

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2010

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MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

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MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Index Terms

Recommendations

Making Local Information More Accessible: A Diary Study of Information Channel Selection of Mobile Users

Research on Personal Information Management

An information filtering model on the Web and its application in JobAgent