TY  - GEN
AU  - Bosetti,Gabriela Alejandra
AU  - Firmenich,Sergio Damián
AU  - Fernández,Alejandro
AU  - Wischenbart,Martín
AU  - Rossi,Gustavo Héctor
AU  - Distante,Damiano
TI  - Towards full end-users control of social recommendations
KW  - APLICACIONES WEB
KW  - EXPERIENCIA DE USUARIO
N1  - Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca); International Conference on Web Engineering ICWE 2018 (18va : 2018 : Cáceres, España)
N2  - Recommender systems are integrated with a significant number of Web applications helping users to find what may be of their interest. However, these systems do not always satisfy the users’ expectations regarding when and where recommendations are available, what is recommended, the source of the recommendations or how they are presented. Moreover, users may expect recommendations on sites that do not offer them. This work presents an approach for empowering users to generate a recommendation layer above the presentation layer of any existing (even third-party) Web application. The approach considers recommender systems as user-constructed artifacts, pluggable to any website and offering users full control at both stages of the recommendation process: the creation and the provision of recommendations. This paper presents preliminary work on the approach, concretely, a toolset to support our claims. Generalization tests on popular websites show no apparent restrictions regarding domain applicability
UR  - https://doi.org/10.1007/978-3-319-91662-0_24
ER  -