In the Internet of Things, smart devices are connected to collect and to exchange data. In our vision, in the Internet of Talking Things, objects such as intelligent fridges will be able to communicate with humans to set up preferences and profiling options which allow a personalized usage of the object. In this paper, we present a recommender system implemented as a Telegram Bot, that can fit with the previous scenario. The system is a movie recommender which exploits the information available in the Linked Open Data (LOD) cloud for generating the recommendations and leading the conversation with the user. It can be easily seen as an intelligent component of a connected TV.

Recommender systems in the internet of talking things (IoTT) / Narducci, Fedelucio; de Gemmis, Marco; Lops, Pasquale; Semeraro, Giovanni. - ELETTRONICO. - 1905:(2017). (Intervento presentato al convegno 11th ACM Conference on Recommender Systems, RecSys 2017 tenutosi a Como, Italy nel August 28, 2017).

Recommender systems in the internet of talking things (IoTT)

Fedelucio Narducci;
2017-01-01

Abstract

In the Internet of Things, smart devices are connected to collect and to exchange data. In our vision, in the Internet of Talking Things, objects such as intelligent fridges will be able to communicate with humans to set up preferences and profiling options which allow a personalized usage of the object. In this paper, we present a recommender system implemented as a Telegram Bot, that can fit with the previous scenario. The system is a movie recommender which exploits the information available in the Linked Open Data (LOD) cloud for generating the recommendations and leading the conversation with the user. It can be easily seen as an intelligent component of a connected TV.
2017
11th ACM Conference on Recommender Systems, RecSys 2017
Recommender systems in the internet of talking things (IoTT) / Narducci, Fedelucio; de Gemmis, Marco; Lops, Pasquale; Semeraro, Giovanni. - ELETTRONICO. - 1905:(2017). (Intervento presentato al convegno 11th ACM Conference on Recommender Systems, RecSys 2017 tenutosi a Como, Italy nel August 28, 2017).
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/11589/224397
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact