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 advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

Accurate forecasting of social power demand is the country's primary task in making
decisions on power overall planning, coal power withdrawal, and renewable energy …

New energy vehicles (NEVs) such as electronic cars represent a major trend in the
automobile industry, where most their exterior designs still follow those of convention fuelled …

Recommendation is an effective marketing tool widely used in the e-commerce business,
and can be made based on ratings predicted from the rating data of purchased items. To …

Recommendation systems are considered as one of the important components of e-
commerce platforms due to their direct impact on profitability. In this study, we propose a …

Graph neural networks (GNNs), with their promising potential to learn effective graph
representation, have been widely used for recommender systems, in which the given graph …

Structural damage detection has become an interdisciplinary area of interest for various
engineering fields, while the available damage detection methods are being in the process …

Recommender systems (RS) now play a very important role in the online lives of people as
they serve as personalized filters for users to find relevant items from a sea of options. Owing …