In the last years, a new set of recommender systems has been recently developed to demonstrate the potential of emotion-based recommendations. Most of them are based on the acquisition and the analysis of data from micro blogging sites in order to predict the users' current emotional state. Considering that emotional aspects play a key role in culture heritage consumption, in this paper we present a facial emotion recognition approach in the context of cultural personalized recommendations. This work represents a first step for obtaining a cultural recommendation system capable to modulate users' emotions to make predictions.

On leveraging facial emotion recognition techniques in personalized recommendations / Khellat-Kihel, Souad; Pandolfo, Laura; Pulina, Luca; Grosso, Enrico. - 310:(2018), pp. 220-230. (Intervento presentato al convegno 1st International Conference on Applications of Intelligent Systems, APPIS 2018 tenutosi a Museo Elder, esp nel 2018) [10.3233/978-1-61499-929-4-220].

On leveraging facial emotion recognition techniques in personalized recommendations

Khellat-Kihel, Souad;Pandolfo, Laura;Pulina, Luca;Grosso, Enrico
2018-01-01

Abstract

In the last years, a new set of recommender systems has been recently developed to demonstrate the potential of emotion-based recommendations. Most of them are based on the acquisition and the analysis of data from micro blogging sites in order to predict the users' current emotional state. Considering that emotional aspects play a key role in culture heritage consumption, in this paper we present a facial emotion recognition approach in the context of cultural personalized recommendations. This work represents a first step for obtaining a cultural recommendation system capable to modulate users' emotions to make predictions.
2018
9781614999287
On leveraging facial emotion recognition techniques in personalized recommendations / Khellat-Kihel, Souad; Pandolfo, Laura; Pulina, Luca; Grosso, Enrico. - 310:(2018), pp. 220-230. (Intervento presentato al convegno 1st International Conference on Applications of Intelligent Systems, APPIS 2018 tenutosi a Museo Elder, esp nel 2018) [10.3233/978-1-61499-929-4-220].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/219432
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact