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EnglishGeo-localized, mobile applications can simplify a tourist visit, making the relevant Point of Interests more easily and promptly discernible to users. At the same time, such solutions must avoid creating unfitting or rigid user profiles that impoverish the users' options instead of refining them. Currently, user profiles in recommender systems rely on dimensions whose relevance to the user is more often presumed than empirically defined. To avoid this drawback, we build our recommendation system in a two-step process, where profile parameters are evaluated preliminarily and separately from the recommendations themselves. We describe this two-step evaluation process including an initial survey (N=206), and a subsequent controlled study (N=24). We conclude by emphasizing the benefit and generalizability of the approach.
Orso V., Varotto A., Rodaro S., Spagnolli A., Jacucci G., Andolina S., et al. (2017). A two-step, user-centered approach to personalized tourist recommendations. In Proceedings of the 12th Biannual Conference on Italian SIGCHI - CHItaly '17 (pp. 1-5). Association for Computing Machinery.
| Data di pubblicazione: | 2017 | |
| Titolo: | A two-step, user-centered approach to personalized tourist recommendations | |
| Autori: | ||
| Citazione: | Orso V., Varotto A., Rodaro S., Spagnolli A., Jacucci G., Andolina S., et al. (2017). A two-step, user-centered approach to personalized tourist recommendations. In Proceedings of the 12th Biannual Conference on Italian SIGCHI - CHItaly '17 (pp. 1-5). Association for Computing Machinery. | |
| Abstract: | Geo-localized, mobile applications can simplify a tourist visit, making the relevant Point of Interests more easily and promptly discernible to users. At the same time, such solutions must avoid creating unfitting or rigid user profiles that impoverish the users' options instead of refining them. Currently, user profiles in recommender systems rely on dimensions whose relevance to the user is more often presumed than empirically defined. To avoid this drawback, we build our recommendation system in a two-step process, where profile parameters are evaluated preliminarily and separately from the recommendations themselves. We describe this two-step evaluation process including an initial survey (N=206), and a subsequent controlled study (N=24). We conclude by emphasizing the benefit and generalizability of the approach. | |
| URL: | http://portal.acm.org/ | |
| ISBN: | 978-1-4503-5237-6 | |
| Digital Object Identifier (DOI): | 10.1145/3125571.3125594 | |
| Settore Scientifico Disciplinare: | Settore INF/01 - Informatica Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni | |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Orso et al CHItaly2017.pdf | Versione Editoriale | Open Access Visualizza/Apri |
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