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Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber and Letizia Tanca
One of the travelers? main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve ...
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Adrián Valera, Álvaro Lozano Murciego and María N. Moreno-García
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and d...
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Yun Bai, Suling Jia, Shuangzhe Wang and Binkai Tan
Inferring customers? preferences and recommending suitable products is a challenging task for companies, although recommender systems are constantly evolving. Loyalty is an indicator that measures the preference relationship between customers and product...
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Cristina Gena, Pierluigi Grillo, Antonio Lieto, Claudio Mattutino and Fabiana Vernero
Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and ex...
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