Context-aware media recommendations for smart devices
- Submitting institution
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Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2981
- Type
- D - Journal article
- DOI
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10.1007/s12652-014-0234-y
- Title of journal
- Journal of Ambient Intelligence and Humanized Computing
- Article number
- 1
- First page
- 13
- Volume
- 6
- Issue
- 1
- ISSN
- 1868-5137
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by INESC Porto and the Portuguese’s government foundation for Science and Technology (Grant no: SFRH/BD/69517/2010). The results featured in online (https://www.computerworld.com.pt/2015/03/03/inesc-desenvolve-app-de-recomendacoes-contextualizadas/) and traditional media via television interviews e.g. https://www.youtube.com/watch?app=desktop&v=26geXkhxw6I&t=427s and news e.g. https://www.youtube.com/watch?app=desktop&v=o7kX-7_gB5Q. The results have also led to additional publications in high impact journals and proceedings such as “User Context Recognition using smartphone sensors and classification models” in Journal of Network and Computer Applications (Elsevier), “Context-aware personalization using neighbourhood-based context similarity” in Wireless Personal Communications (Springer) and “Supporting context-aware cloud-based media recommendations for smartphone” in IEEE International conference on Mobile Cloud Computing, Services and Engineering.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -