Weight prediction and recognition of subject term in documents is widely used in application
fields such as literature recommendation and keyword retrieval. Unlike traditional methods …

The goal of this article is to analyze the problem of low computational efficiency and
propagation error rate in entity recognition and relation extraction. This paper proposes a …

Recommendation systems are vital for personalized experiences in today's digital
landscape. This study thoroughly examines collaborative filtering (CF) algorithms and their …

Natural Language Processing is motivated by applications where computers should gain a
semantic and syntactic understanding of human language. Recently, the field has been …

Local neighborhood-based collaborative filtering (LNBCF) is being successfully applied as
the core of high-performance recommender systems in the literature, providing high …