An emerging paradigm of Explainable Recommender Systems (ERS) leverages social friend information to supply users with his/her friends' public interests as explained recommendation. In this work, we consider this issue from a theoretical pont of view. We define a computational problem aimed to support the formation of communities of patients (users) and health services (items), thus stimulating targeted communication in social spaces. Using this formulation, dedicated ERS can benefit from social information to supply optimized recommended clarification. In particular, we report the conceptual framework with numerical results applying random graph models.

Zoppis, I., Manzoni, S., Mauri, G. (2019). A computational model for promoting targeted communication and supplying social explainable recommendations. In Proceedings CBMS 2019 – 32 th IEEE CBMS International Symposium on Computer-Based Medical Systems (pp.429-434). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS.2019.00090].

A computational model for promoting targeted communication and supplying social explainable recommendations

Zoppis, Italo;Manzoni, Sara;Mauri, Giancarlo
2019

Abstract

An emerging paradigm of Explainable Recommender Systems (ERS) leverages social friend information to supply users with his/her friends' public interests as explained recommendation. In this work, we consider this issue from a theoretical pont of view. We define a computational problem aimed to support the formation of communities of patients (users) and health services (items), thus stimulating targeted communication in social spaces. Using this formulation, dedicated ERS can benefit from social information to supply optimized recommended clarification. In particular, we report the conceptual framework with numerical results applying random graph models.
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Community optimization; Graphs.; Heuristic approximation; Social explanations;
Social explanations; Community optimization; Graphs; Heuristic approximation
English
32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019
2019
Proceedings CBMS 2019 – 32 th IEEE CBMS International Symposium on Computer-Based Medical Systems
9781728122861
2019
2019-
429
434
8787439
reserved
Zoppis, I., Manzoni, S., Mauri, G. (2019). A computational model for promoting targeted communication and supplying social explainable recommendations. In Proceedings CBMS 2019 – 32 th IEEE CBMS International Symposium on Computer-Based Medical Systems (pp.429-434). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS.2019.00090].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/240262
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