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Syed Raza Bashir, Shaina Raza and Vojislav B. Misic
Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users? historical...
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Eman AbuKhousa, Mohamed Sami El-Tahawy and Yacine Atif
Th metaverse presents a new opportunity to construct personalized learning paths and to promote practices that scale the development of future skills and collective intelligence. The attitudes, knowledge and skills that are necessary to face the challeng...
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Ikram Karabila, Nossayba Darraz, Anas El-Ansari, Nabil Alami and Mostafa El Mallahi
Recommendation systems (RSs) are widely used in e-commerce to improve conversion rates by aligning product offerings with customer preferences and interests. While traditional RSs rely solely on numerical ratings to generate recommendations, these rating...
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Markos Konstantakis, Yannis Christodoulou, John Aliprantis and George Caridakis
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 visi...
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Mingshuo Cao, Yujia Liu, Tiantian Gai, Mi Zhou, Hamido Fujita and Jian Wu
This article proposes a comprehensive star rating approach for cruise ships by the combination of subject and objective evaluation. To do that, it firstly established a index system of star rating for cruise ships. Then, the modified TOPSIS is adopted to...
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Yongyan Guo, Tongyao Yuan and Siyu Yue
The use of gamification elements in health apps has been shown to promote healthy behaviors. However, one-size-fits-all gamification strategy does not have the best persuasive effect. Therefore, the aim of this paper was to determine how to select person...
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Marcos Inky Tae, Kohei Ogawa, Yuichiro Yoshikawa and Hiroshi Ishiguro
A system using the ?sequential persuasion? concept would be able to increase the persuasiveness of a message for public service announcements or advertisements. A potential application would be a system of robots distributed throughout an environment, fo...
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Enrico Bazzi, Nunziato Cassavia, Davide Chiggiato, Elio Masciari, Domenico Saccà, Alessandra Spada and Irina Trubitsyna
Big Data, as a new paradigm, has forced both researchers and industries to rethink data management techniques which has become inadequate in many contexts. Indeed, we deal everyday with huge amounts of collected data about user suggestions and searches. ...
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Jossandro Balardin Silva,Jacques Nelson Corleta Schreiber,Elpídio Oscar Benitez Nara
This research was responsible for the development of a method for recommending news in online newspapers. This study takes into consideration that each reader has specific needs and interests when reading online newspapers, and it is a challenge to bring...
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Muhammad Asif,John Krogstie
Pág. pp. 4 - 9
In most personalized mobile services, the user model remains invisible, and users do not have control over it. Externalization of user models can allow users to get an overview the user model that is used for personalization, and adjust the profile and p...
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