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 …

Over the past two decades, a large amount of research effort has been devoted to
develo** algorithms that generate recommendations. The resulting research progress has …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

With the advent of the Internet of Things, especially the Internet of Vehicles, abundant
environmental and mobile data can be generated continuously. A personalized …

The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

Online information intermediaries such as Facebook and Google are slowly replacing
traditional media channels thereby partly becoming the gatekeepers of our society. To deal …

A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …

Factorization approaches provide high accuracy in several important prediction problems,
for example, recommender systems. However, applying factorization approaches to a new …

The availability of user check-in data in large volume from the rapid growing location based
social networks (LBSNs) enables many important location-aware services to users. Point-of …

In collaborative filtering recommender systems user's preferences are expressed as ratings
for items, and each additional rating extends the knowledge of the system and affects the …