Learning Tversky Similarity

Rahnama, Javad; Hüllermeier, Eyke

doi:10.1007/978-3-030-50143-3_21

Cited by 11 publications

(1 citation statement)

References 27 publications

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“…To better explain the originality of this paper, we have reformulated our research problem in the modified version and represented it through a collaborative work scenario. Besides, we have also theoretically introduced recommendations and context-aware recommendation in Section II-C, explained the recommendation algorithm by the scenario and pseudo-code, and added a recent reference (i.e [26]…”

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confidence: 99%

Managing and recommending resources in web-based collaborative working environments

Abel

Negre

2020

2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

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Web-based Collaborative Working Environments intend to support collaborations between users by integrating and offering different collaborative tools. However, this makes it difficult for users to manage and find useful resources to advance their collaborations, which are stored distributively within these tools. This raises an issue: how to manage these resources and identify useful ones for users during their collaborations. In our research, we intend to consider a web-based Collaborative Working Environment as an ontology-based System of Information Systems and to apply a collaboration context ontology that can manage and recommend resources to users within the context of collaboration. In this paper, we present a prototype of such environments and show how context-aware resource recommendations can be generated.

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confidence: 99%