Abstract
Nowadays, many digital technologies are developed to support collaboration and facilitate its efficiency. When using them, users will leave contextual information explicitly and implicitly, which could contribute to identifying users’ situations and thus enabling systems to generate corresponding recommendations. In the framework of collaborations, we are interested in considering user context with user contextual profile to suggest appropriate collaborators. In this article, we present the user contextual profile that we established and how it can be used to generate recommendations for collaborations in digital environments.
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Notes
- 1.
According to [22], personal data in GDPR indicates information that can identify an individual directly or indirectly, specifically including online identifiers (e.g. IP addresses, cookies and digital fingerprinting, and location data).
- 2.
- 3.
Current user groups mean that represented collaborations have not finished yet, still in progress.
- 4.
Historical collaborators represent the contacts that user u has collaborated with in his/her historical collaborations.
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Li, S., Abel, MH., Negre, E. (2019). Using User Contextual Profile for Recommendation in Collaborations. In: Visvizi, A., Lytras, M. (eds) Research & Innovation Forum 2019. RIIFORUM 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-30809-4_19
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