Modeling user preferences using neural networks and tensor factorization model
With the expansion of information on the web, recommendation systems have become one
of the most powerful resources to ease the task of users. Traditional recommendation …
of the most powerful resources to ease the task of users. Traditional recommendation …
Soundsride: Affordance-synchronized music mixing for in-car audio augmented reality
M Kari, T Grosse-Puppendahl, A Jagaciak… - The 34th Annual ACM …, 2021 - dl.acm.org
Music is a central instrument in video gaming to attune a player's attention to the current
atmosphere and increase their immersion in the game. We transfer the idea of scene …
atmosphere and increase their immersion in the game. We transfer the idea of scene …
Music sequence prediction with mixture hidden markov models
Recommendation systems that automatically generate personalized music playlists for users
have attracted tremendous attention in recent years. Nowadays, most music …
have attracted tremendous attention in recent years. Nowadays, most music …
Enhancing the role of large-scale recommendation systems in the IoT context
R Kashef - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) connects heterogeneous physical devices with the ability to
collect data using sensors and actuators. These data can infer useful information for …
collect data using sensors and actuators. These data can infer useful information for …
[HTML][HTML] An automated system recommending background music to listen to while working
Many people listen to music while working nowadays. However, conventional
recommendation systems that are designed for playing songs matching user preferences …
recommendation systems that are designed for playing songs matching user preferences …
Heterogeneous knowledge-based attentive neural networks for short-term music recommendations
The current existing data in online music service platforms are heterogeneous, extensive,
and disorganized. Finding an effective method to use these data in recommending …
and disorganized. Finding an effective method to use these data in recommending …
[HTML][HTML] Location-aware music recommendation
The increasing amount of online music content has opened opportunities for implementing
new effective information access services—commonly known as music recommender …
new effective information access services—commonly known as music recommender …
Distributional semantic pre-filtering in context-aware recommender systems
Context-aware recommender systems improve context-free recommenders by exploiting the
knowledge of the contextual situation under which a user experienced and rated an item …
knowledge of the contextual situation under which a user experienced and rated an item …
Evolving context-aware recommender systems with users in mind
A context-aware recommender system (CARS) utilizes users' context to provide
personalized services. Contextual information can be derived from sensors in order to …
personalized services. Contextual information can be derived from sensors in order to …
Similarity-based context-aware recommendation
Context-aware recommender systems (CARS) take context into consideration when
modeling user preferences. There are two general ways to integrate context with …
modeling user preferences. There are two general ways to integrate context with …