A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …

Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …

The prime contribution of current research entails the explanation of role of artificial
intelligence based human resource management function to determine the employer …

This study aims to analyze the influence of GDP, population, distance, similarity index of
economic size, and exchange rate on Indonesian exports with ASEAN countries and 7 …

Research-related publications and articles have flooded the internet, and researchers are in
the quest of getting better tools and technologies to improve the recommendation of relevant …

In this chapter, the authors give an overview of the main data mining techniques that are
utilized in the context of research paper recommender systems. These techniques refer to …

Research papers and expertise recommendation systems have been operating
independently of one another, resulting in avoidable search queries and unsatisfactory …

In the current days of information overload, it is nearly impossible to obtain a form of relevant
knowledge from massive information repositories without using information retrieval and …

We present VibeSpace; a method for the fully unsupervised construction of interpretable
embedding spaces applicable to arbitrary domain areas. By leveraging knowledge …

Z powodu szybkiego wzrostu liczby artykułów naukowych publikowanych co roku coraz
trudniej jest nadążać za rozwojem nawet tylko swojej dziedziny nauki. Badacze, a także np …