The continually developing Internet generates a considerable amount of text data. When
attempting to extract general topics or themes from a massive corpus of documents, dealing …

This study takes a sample of green storage monitoring data for corn from a biochemical
energy enterprise, based on the enterprise's original storage monitoring system while …

Finding a suitable open access journal to publish academic work is a complex task:
Researchers have to navigate a constantly growing number of journals, institutional …

* Correspondence: Email: jjjzzz0@ 163. com. Abstract: Collaborative filtering (CF) algorithm
is one of the most widely used recommendation algorithms in recommender systems …

The primary aim of the present study is to provide a comparative-analytical analysis of the
proposed results of the Manuscript Matcher with the responses of Library and Information …

Online labor markets have been playing a crucial role in connecting freelancers and
employers around the world. Most existing methods are designed to help employers find the …

Since the start of the 21st century, there has been a rapid development of internet
technology, causing electronic computers and smartphones to become increasingly popular …

Choosing the right journal for an article can be a challenge. Automated manuscript matching
can help authors with the decision by recommending suitable journals based on user …

The fusion of content-based recommendation and collaborative filtering is an important
research direction in recommendation algorithms. However, due to the scalability of …

K-means clustering algorithm is a common Unsupervised learning algorithm. It divides
samples into multiple clusters by calculating their similarity, and each cluster represents a …