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Analysis of institutional authors

Ceron-Rios G.m.Author

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February 11, 2022
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Reconto: An ontology to model recommender systems and its components

Publicated to:Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. 2017-November 815-821 - 2017-07-02 2017-November(), DOI: 10.1109/ICTAI.2017.00128

Authors: Jorro-Aragoneses JL; Ceron-Rios GM; Diaz-Agudo MB; Recio-Garcia JA; Lopez-Gutierrez DM

Affiliations

Universidad Complutense de Madrid - Author

Abstract

Nowadays, recommender systems are useful tools to filter items and information for users. There is a huge diversity of approaches to create customized recommendations. Because of this, a developer needs to know the features of these approaches to select which one is the best approach in a specific domain. In this paper, we explain the first step in the design of our intelligent framework to create recommender systems. This first step is called RecOnto: An ontology to model recommender system as a collection of components related between them. This ontology defines and classifies all components that compound a recommender system. Moreover, depending on the information used by the recommender system, it can filter the components used by the system. In addition, this ontology can be extended to add more components or apply this model in other domains. Finally, we explain an example about how to apply RecOnto to model CoCARE, a real context-Aware recommender system in the health domain.

Keywords

OntologyRecommender-systemSoftware-engineering

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2017, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Artificial Intelligence.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-22:

  • WoS: 1
  • Scopus: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-22:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 14 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (JORRO ARAGONESES, JOSE LUIS).