Add to ORKGTesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de la Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de lectura :13-01-201
Abstract. Recommender systems always aim to provide recommendations for a user based on historical r...
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Cross-Domain ...
Cross-domain algorithms have been introduced to help improving recommendations and to alleviate cold...
Most of the recent studies on recommender systems are focused on single domain recommendation system...
Most of the research studies on recommender systems are focused on single-domain recommendations. Wi...
Abstract. Most of the research studies on recommender systems are focused on single-domain recommend...
Abstract. Recommender systems suffer from the new user problem, i.e., the difficulty to make accurat...
Today, the amount and importance of available data on the internet are growing exponentially. These ...
We propose a novel hybrid recommendation algorithm for addressing the well-known cold-start problem ...
In recent years, with the growing amount of data online, it is becoming more and more difficult to f...
Most of the research studies on recommender systems are\ud focused on single-domain recommendations....
Cross-domain recommender systems aim to generate or enhance personalized recommendations in a target...
© 2016 ACM. In the real-world environment, users have sufficient experience in their focused domains...
Doctor of PhilosophyDepartment of Computer ScienceDoina CarageaWith the continuous growth in the num...
Recommender systems (RS) are used by many social networking applications and online e-commercial ser...
Abstract. Recommender systems always aim to provide recommendations for a user based on historical r...
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Cross-Domain ...
Cross-domain algorithms have been introduced to help improving recommendations and to alleviate cold...
Most of the recent studies on recommender systems are focused on single domain recommendation system...
Most of the research studies on recommender systems are focused on single-domain recommendations. Wi...
Abstract. Most of the research studies on recommender systems are focused on single-domain recommend...
Abstract. Recommender systems suffer from the new user problem, i.e., the difficulty to make accurat...
Today, the amount and importance of available data on the internet are growing exponentially. These ...
We propose a novel hybrid recommendation algorithm for addressing the well-known cold-start problem ...
In recent years, with the growing amount of data online, it is becoming more and more difficult to f...
Most of the research studies on recommender systems are\ud focused on single-domain recommendations....
Cross-domain recommender systems aim to generate or enhance personalized recommendations in a target...
© 2016 ACM. In the real-world environment, users have sufficient experience in their focused domains...
Doctor of PhilosophyDepartment of Computer ScienceDoina CarageaWith the continuous growth in the num...
Recommender systems (RS) are used by many social networking applications and online e-commercial ser...
Abstract. Recommender systems always aim to provide recommendations for a user based on historical r...
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Cross-Domain ...
Cross-domain algorithms have been introduced to help improving recommendations and to alleviate cold...