ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification
In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visitors according to different visiting profiles...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/6/4/144 |
| _version_ | 1797461460185513984 |
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| author | Markos Konstantakis Yannis Christodoulou John Aliprantis George Caridakis |
| author_facet | Markos Konstantakis Yannis Christodoulou John Aliprantis George Caridakis |
| author_sort | Markos Konstantakis |
| collection | DOAJ |
| description | In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visitors according to different visiting profiles could act as a mediator between their visiting preferences and cultural content. Drawing on the above, in this paper, we propose ACUX Recommender (ACUX-R), an MRS, for recommending personalized cultural POIs to visitors based on their visiting preferences. ACUX-R experimentally employs the ACUX typology for assigning profiles to cultural visitors. ACUX-R was evaluated through a user study and a questionnaire. The evaluation conducted showed that the proposed ACUX-R satisfies cultural visitors and is capable of capturing their nonverbal visiting preferences and needs. |
| first_indexed | 2024-03-09T17:20:40Z |
| format | Article |
| id | doaj.art-f6437682e29f49eead3350300340f6e2 |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-03-09T17:20:40Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-f6437682e29f49eead3350300340f6e22023-11-24T13:18:03ZengMDPI AGBig Data and Cognitive Computing2504-22892022-11-016414410.3390/bdcc6040144ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences ClassificationMarkos Konstantakis0Yannis Christodoulou1John Aliprantis2George Caridakis3Department of Cultural Technology and Communication, Aegean University, 81100 Mytilene, GreeceDepartment of Cultural Technology and Communication, Aegean University, 81100 Mytilene, GreeceDepartment of Cultural Technology and Communication, Aegean University, 81100 Mytilene, GreeceDepartment of Cultural Technology and Communication, Aegean University, 81100 Mytilene, GreeceIn recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visitors according to different visiting profiles could act as a mediator between their visiting preferences and cultural content. Drawing on the above, in this paper, we propose ACUX Recommender (ACUX-R), an MRS, for recommending personalized cultural POIs to visitors based on their visiting preferences. ACUX-R experimentally employs the ACUX typology for assigning profiles to cultural visitors. ACUX-R was evaluated through a user study and a questionnaire. The evaluation conducted showed that the proposed ACUX-R satisfies cultural visitors and is capable of capturing their nonverbal visiting preferences and needs.https://www.mdpi.com/2504-2289/6/4/144personalizationcultural heritagemobile tourist guideprofile classificationuser interfacecultural destinations |
| spellingShingle | Markos Konstantakis Yannis Christodoulou John Aliprantis George Caridakis ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification Big Data and Cognitive Computing personalization cultural heritage mobile tourist guide profile classification user interface cultural destinations |
| title | ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification |
| title_full | ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification |
| title_fullStr | ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification |
| title_full_unstemmed | ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification |
| title_short | ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification |
| title_sort | acux recommender a mobile recommendation system for multi profile cultural visitors based on visiting preferences classification |
| topic | personalization cultural heritage mobile tourist guide profile classification user interface cultural destinations |
| url | https://www.mdpi.com/2504-2289/6/4/144 |
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