This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

With the growing volume of online information, recommender systems have been an
effective strategy to overcome information overload. The utility of recommender systems …

Recommender systems are effective tools of information filtering that are prevalent due to
increasing access to the Internet, personalization trends, and changing habits of computer …

These days, many recommender systems (RS) are utilized for solving information overload
problem in areas such as e-commerce, entertainment, and social media. Although classical …

Combining with music recommendations that may be received through mobile devices, in
comparison to past periods, the usage of digital music has risen in recent years. Searching …

Research about recommender systems emerges over the last decade and comprises
valuable services to increase different companies' revenue. While most existing …

In recent years, the use of digital music is increased compare to earlier period. Based on the
selected features of music or songs, the music recommendation service provider will provide …

Automatic recommendation has become an increasingly relevant problem to industries,
which allows users to discover new items that match their tastes and enables the system to …

Discovering useful hidden patterns from learner data for online learning systems is valuable
in education technology. Studies on personalized learning full-path recommendation are …

Medical information systems have been increasingly facilitating and improving the quality of
health monitoring, disease-trend modelling and early intervention with evidence-based …