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 …

Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

Patent transfer is a common practice for companies to obtain competitive advantages.
However, they encounter the difficulty of selecting suitable patents because the number of …

Most of heterogeneous information network (HIN) based recommendation models are based
on the user and item modeling with meta-paths. However, they always model users and …

Diversity is a concept relevant to numerous domains of research varying from ecology, to
information theory, and to economics, to cite a few. It is a notion that is steadily gaining …

Sequential recommendation seeks to predict users' next behaviors and recommend related
items over time. Existing research has mainly focused on modeling users' dynamic …

Coordinating the reduction of pollution and carbon emissions (CRPCE) is essential for
China's climate governance and environmental protection. However, research on policy …

Recommendation systems (RSs) have been widely used in consumer product trading
platforms due to their excellent capability to assist users in finding relevant items, which …

Location-based social networks (LBSN) is a new type of heterogeneous information network
(HIN). The check-in data usually has the characteristics of a large amount of data and high …

In ensemble learning, it is necessary to build a balancing mechanism to balance the
accuracy of individual learners with the diversity between individual learners to achieve …