Cross domain recommender systems (CDRS) can assist recommendations in a target
domain based on knowledge learned from a source domain. CDRS consists of three …

Recommender systems (RS) and their scientific approach have become very important
because they help scientists find suitable publications and approaches, customers find …

Objectives: To propose the top books for universities students by using the proposed fuzzy
based approach, Ordered Ranked weighted Aggregation method. Methods/Statistical …

Cross‐domain sentiment classification is a significant task of sentiment analysis that
objectives to predict the opinion orientation of text documents in the target domain by using …

INTRODUCTION: With the rise of social media platforms, the prevalence of truculent posts
has become a major concern. These posts, which exhibit anger, aggression, or rudeness …

Recommender System is a software tool that considers multiple parameters like the interest
of a user, historical user data, browsing behavior, etc. to provide suitable recommendations …

Automatic opinion mining of web 2.0 texts is critical for understanding people's viewpoints
and assisting them in making informed decisions. Trained machines perform well in the …

Objectives: Recommender systems in an E-commerce scenario, aim at improving a
product's visibility to a customer. Existing recommendation systems incorporate traditional …

Abstract Music Genre Classification acts as a precursor to a solid music recommendation
system, as well as a music generation tool. In order to form a solid foundation to the …

With the development of network technology, the amount of information on the network has
grown and expanded rapidly with an exponential law, and its information organization is …