Recommending personalized informative contents on iTV

This paper aims to present an ongoing PhD research of the Doctoral Program Information and Communication in Digital Platforms and proposes a context aware recommender system (CARS) of informative contents about Assistance Services of General Interest for the Elderly (ASGIE) [6], for later exhibition...

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Bibliographic Details
Main Author: Campelo, D. (author)
Other Authors: Silva, T. (author), de Abreu, J. F. (author)
Format: conferenceObject
Language:eng
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10773/21475
Country:Portugal
Oai:oai:ria.ua.pt:10773/21475
Description
Summary:This paper aims to present an ongoing PhD research of the Doctoral Program Information and Communication in Digital Platforms and proposes a context aware recommender system (CARS) of informative contents about Assistance Services of General Interest for the Elderly (ASGIE) [6], for later exhibition on an Interactive TV (iTV) platform. The first phase of this research has been dedicated to assessing the information needs of seniors and designing a proper CARS data model. Future work will involve designing and implementing a prototype for further evaluation in the field with seniors, in the context of the +TV4E project [20]. In addition, it is intended to study the feasibility of leveraging the prototype over the Catchup TV service built in the UltraTV project [2]. The intended contribution of this doctoral research is to promote greater autonomy, wellbeing and info-inclusion of seniors through a personalized approach.