The booming development of wearable devices has created new opportunities and challenges for recommender system research. In fact, the relevance of a recommendation is largely affected by the user’s real-time requirements, and therefore understanding the precise user’s situation at recommendation time is pivotal. Wearable devices can contribute to provide this rich description of the user’s situation. In particular, in food recommender systems this set of user’s data can lead to novel research challenges that are illustrated in this paper.

Integrating wearable devices into a mobile food recommender system / Ge, Mouzhi; Massimo, David; Ricci, Francesco; Zini, Floriano. - STAMPA. - 162:(2015), pp. 335-337. [10.1007/978-3-319-29003-4]

Integrating wearable devices into a mobile food recommender system

ZINI, FLORIANO
2015

Abstract

The booming development of wearable devices has created new opportunities and challenges for recommender system research. In fact, the relevance of a recommendation is largely affected by the user’s real-time requirements, and therefore understanding the precise user’s situation at recommendation time is pivotal. Wearable devices can contribute to provide this rich description of the user’s situation. In particular, in food recommender systems this set of user’s data can lead to novel research challenges that are illustrated in this paper.
2015
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
335
337
Integrating wearable devices into a mobile food recommender system / Ge, Mouzhi; Massimo, David; Ricci, Francesco; Zini, Floriano. - STAMPA. - 162:(2015), pp. 335-337. [10.1007/978-3-319-29003-4]
Ge, Mouzhi; Massimo, David; Ricci, Francesco; Zini, Floriano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/579904
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