Add to ORKGUser™s affective state is an important context for recommendation system (RS), especially when the recommended items are entertainment content such as movies and music. This research considers a user™s affective state and incorporates such consideration
To deliver better recommendations, music information systems need to go beyond standard methods for ...
Abstract. The ability to express and recognise emotions is a fundamental issue in human social inter...
Music is widely used for mood and emotion regulation in our daily life. As a result, many research w...
Decision making is the cognitive process of identifying and choosing alternatives based on preferenc...
Abstract. This position paper describes the initial research assump-tions to improve music recommend...
The emergence of the content overloaded internet creates a lot of new challengesfor users and servic...
Emotions influence ever yday decisions. When people make decisions about movies to watch, songs to l...
The influence of emotions in decision making is a popular research topic in psychology and cognitive...
With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filt...
Nowadays, Recommender Systems have become essential to users for finding “what they need” within lar...
Affective Video Content Analysis aims to automatically analyze the intensity and type of affect (emo...
The internet and mobile technology have developed quickly and made it possible for us to freely acce...
The decision making process is a very hard task to face, because a lot of external elements could in...
This paper introduces the concept of affective offset, which is the difference between a user's perc...
Recommender Systems are a subclass of information retrieval systems, or more succinctly, a class of ...
To deliver better recommendations, music information systems need to go beyond standard methods for ...
Abstract. The ability to express and recognise emotions is a fundamental issue in human social inter...
Music is widely used for mood and emotion regulation in our daily life. As a result, many research w...
Decision making is the cognitive process of identifying and choosing alternatives based on preferenc...
Abstract. This position paper describes the initial research assump-tions to improve music recommend...
The emergence of the content overloaded internet creates a lot of new challengesfor users and servic...
Emotions influence ever yday decisions. When people make decisions about movies to watch, songs to l...
The influence of emotions in decision making is a popular research topic in psychology and cognitive...
With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filt...
Nowadays, Recommender Systems have become essential to users for finding “what they need” within lar...
Affective Video Content Analysis aims to automatically analyze the intensity and type of affect (emo...
The internet and mobile technology have developed quickly and made it possible for us to freely acce...
The decision making process is a very hard task to face, because a lot of external elements could in...
This paper introduces the concept of affective offset, which is the difference between a user's perc...
Recommender Systems are a subclass of information retrieval systems, or more succinctly, a class of ...
To deliver better recommendations, music information systems need to go beyond standard methods for ...
Abstract. The ability to express and recognise emotions is a fundamental issue in human social inter...
Music is widely used for mood and emotion regulation in our daily life. As a result, many research w...