Sharing geotagged pictures for an Emotion-based Recommender System

Andreas Hitz; Si Ahmed Naas; Stephan Sigg

doi:10.1109/PerComWorkshops51409.2021.9430978

Sharing geotagged pictures for an Emotion-based Recommender System

Andreas Hitz, Si Ahmed Naas, Stephan Sigg

Ambient Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

34 Downloads (Pure)

Abstract

Recommender systems are prominently used for movie or app recommendation or in e-commerce by considering profiles, past preferences and increasingly also further personalized measures. We designed and implemented an emotion-based recommender system for city visitors that takes into account user emotion and user location for the recommendation process. We conducted a comparative study between the emotion-based recommender system and recommender systems based on traditional measures. Our evaluation study involved 28 participators and the experiments showed that the emotion-based recommender system increased the average rating of the recommendation by almost 19%. We conclude that the use of emotion can significantly improve the results and especially their level of personalization.

Original language	English
Title of host publication	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
Publisher	IEEE
Pages	68-73
Number of pages	6
ISBN (Electronic)	9781665404242
DOIs	https://doi.org/10.1109/PerComWorkshops51409.2021.9430978
Publication status	Published - 25 May 2021
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Pervasive Computing and Communications Workshops - Kassel, Germany Duration: 22 Mar 2021 → 26 Mar 2021 https://www.percom.org/

Publication series

Name	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Conference

Conference	IEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated title	PerCom Workshops
Country/Territory	Germany
City	Kassel
Period	22/03/2021 → 26/03/2021
Internet address	https://www.percom.org/

Keywords

Artificial Intelligence
City tour guide
Emotions
Recommender Systems

Access to Document

10.1109/PerComWorkshops51409.2021.9430978

ELEC_Hitz_etal_Sharing_geotagged_pictures_IEEE_PerCom_2021Accepted author manuscript, 1.45 MB

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Hitz, A., Naas, S. A., & Sigg, S. (2021). Sharing geotagged pictures for an Emotion-based Recommender System. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 (pp. 68-73). [9430978] (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). IEEE. https://doi.org/10.1109/PerComWorkshops51409.2021.9430978

Hitz, Andreas ; Naas, Si Ahmed ; Sigg, Stephan. / Sharing geotagged pictures for an Emotion-based Recommender System. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. IEEE, 2021. pp. 68-73 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

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abstract = "Recommender systems are prominently used for movie or app recommendation or in e-commerce by considering profiles, past preferences and increasingly also further personalized measures. We designed and implemented an emotion-based recommender system for city visitors that takes into account user emotion and user location for the recommendation process. We conducted a comparative study between the emotion-based recommender system and recommender systems based on traditional measures. Our evaluation study involved 28 participators and the experiments showed that the emotion-based recommender system increased the average rating of the recommendation by almost 19%. We conclude that the use of emotion can significantly improve the results and especially their level of personalization. ",

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author = "Andreas Hitz and Naas, {Si Ahmed} and Stephan Sigg",

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Hitz, A, Naas, SA & Sigg, S 2021, Sharing geotagged pictures for an Emotion-based Recommender System. in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021., 9430978, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, IEEE, pp. 68-73, IEEE International Conference on Pervasive Computing and Communications Workshops, Kassel, Hesse, Germany, 22/03/2021. https://doi.org/10.1109/PerComWorkshops51409.2021.9430978

Sharing geotagged pictures for an Emotion-based Recommender System. / Hitz, Andreas; Naas, Si Ahmed ; Sigg, Stephan.

2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. IEEE, 2021. p. 68-73 9430978 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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N2 - Recommender systems are prominently used for movie or app recommendation or in e-commerce by considering profiles, past preferences and increasingly also further personalized measures. We designed and implemented an emotion-based recommender system for city visitors that takes into account user emotion and user location for the recommendation process. We conducted a comparative study between the emotion-based recommender system and recommender systems based on traditional measures. Our evaluation study involved 28 participators and the experiments showed that the emotion-based recommender system increased the average rating of the recommendation by almost 19%. We conclude that the use of emotion can significantly improve the results and especially their level of personalization.

AB - Recommender systems are prominently used for movie or app recommendation or in e-commerce by considering profiles, past preferences and increasingly also further personalized measures. We designed and implemented an emotion-based recommender system for city visitors that takes into account user emotion and user location for the recommendation process. We conducted a comparative study between the emotion-based recommender system and recommender systems based on traditional measures. Our evaluation study involved 28 participators and the experiments showed that the emotion-based recommender system increased the average rating of the recommendation by almost 19%. We conclude that the use of emotion can significantly improve the results and especially their level of personalization.

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Hitz A, Naas SA , Sigg S. Sharing geotagged pictures for an Emotion-based Recommender System. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. IEEE. 2021. p. 68-73. 9430978. (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). https://doi.org/10.1109/PerComWorkshops51409.2021.9430978

Sharing geotagged pictures for an Emotion-based Recommender System

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