Purpose This paper aims to identify the impact of demographical and organizational
variables such as age, gender, experiences use of knowledge management system (KMS) …

Besides data sparsity and cold start, recommender systems often face the problems of
selection bias and exposure bias. These problems influence the accuracy of …

Many Indonesian women want to look beautiful and healthy when appearing anywhere. so
that many Indonesian women love to shop online choosing which beauty products are more …

E-commerce data, as an important part of enterprise online marketing data, can help
enterprises understand customer needs and improve sales efficiency. Aiming at the …

The needed for the general public to shop online through e-commerce has become a trend
since the start of Covid-19. Social media has become a daily meal for the general public …

Aiming at the problem of printing quality defect detection existing in traditional printing
enterprises, this paper proposes a data mining and analysis method of printing factory …

With the increasing development of Internet technology, the amount of data is increasing,
and recommendation system has become the primary way to help users filter effective …