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https://arxiv.org/pdf/0905.1594v1
This article presents a context-sensitive recommender sys-tem to support the scholarly communication process. This system is called kReef.1 kReef maintains a resource-rich, graph-based model of the scholarly community that includes people, articles, journals, conferences, calls, funding oppor-tunities, institutions, etc. and their various ...
https://arxiv.org/abs/0905.1594
All of these example scenarios can be represented as a problem in information filtering by means of context-sensitive recommendation. This article presents an overview of a context-sensitive recommender system to support the scholarly communication process that is based on the standards and technology set forth by the Semantic Web initiative.Cited by: 2
https://www.researchgate.net/publication/45850771_A_Recommender_System_to_Support_the_Scholarly_Communication_Process
This article presents an overview of a context-sensitive recommender system to support the scholarly communication process that is based on the standards and technology set forth by the Semantic ...
http://adsabs.harvard.edu/abs/2009arXiv0905.1594R
All of these example scenarios can be represented as a problem in information filtering by means of context-sensitive recommendation. This article presents an overview of a context-sensitive recommender system to support the scholarly communication process that is based on the standards and technology set forth by the Semantic Web initiative.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.250.5433
All of these example scenarios can be represented as a problem in information filtering by means of context-sensitive recommendation. This article presents an overview of a context-sensitive recommender system to support the scholarly communication process that is based on the standards and technology set forth by the Semantic Web initiative.
https://www.sciencedirect.com/science/article/pii/S0957417414005569
Different scenarios of the users’ activities or tasks have been presented to support the scholarly communication process in RSs. Matching the users to their specific tasks leads to increased user satisfaction, efficiency, and usefulness of the recommender system ( McNee, Kapoor, & Konstan, 2006 ).Cited by: 96
https://www.researchgate.net/publication/1958986_A_Multi-Relational_Network_to_Support_the_Scholarly_Communication_Process
This article presents an overview of a context-sensitive recommender system to support the scholarly communication process that is based on the standards and technology set forth by the Semantic ...Author: Marko A. Rodriguez
https://link.springer.com/article/10.1007%2Fs10115-018-1324-5
Jan 05, 2019 · Rodriguez MA et al (2009) A recommender system to support the scholarly communication process. arXiv preprint arXiv:0905.1594 80. Middleton SE, Shadbolt NR, De Roure DC (2004) Ontological user profiling in recommender systems.Cited by: 1
https://www.openuphub.eu/community/blog/item/recommender-systems-as-enabling-technology-to-interlink-scholarly-information-2
As already discussed in the work of Knoth et al., 2017, recommender systems for scholarly information are a huge challenge since current approaches in the scholarly domain focus either on specific systems (e.g., Mendeley, see Hristakeva et al., 2017) or specific use cases (e.g., only recommend scholarly articles to researchers).
https://dl.acm.org/citation.cfm?id=2776374
It also discusses the way a context-aware recommender system can be effectively designed and implemented in digital libraries. Additionally, a few recommendations for future investigations on scholarly recommender systems are proposed.Cited by: 96
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