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 | |
| 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 |
Keywords
- Artificial Intelligence
- City tour guide
- Emotions
- Recommender Systems