Cross domain recommender systems: A systematic literature review
Cross domain recommender systems (CDRS) can assist recommendations in a target
domain based on knowledge learned from a source domain. CDRS consists of three …
domain based on knowledge learned from a source domain. CDRS consists of three …
[PDF][PDF] Provenance and social network analysis for recommender systems: a literature review
Recommender systems (RS) and their scientific approach have become very important
because they help scientists find suitable publications and approaches, customers find …
because they help scientists find suitable publications and approaches, customers find …
[PDF][PDF] A novel approach for book recommendation using fuzzy based aggregation
Objectives: To propose the top books for universities students by using the proposed fuzzy
based approach, Ordered Ranked weighted Aggregation method. Methods/Statistical …
based approach, Ordered Ranked weighted Aggregation method. Methods/Statistical …
Cross‐domain sentiment classification using decoding‐enhanced bidirectional encoder representations from transformers with disentangled attention
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 …
objectives to predict the opinion orientation of text documents in the target domain by using …
Truculent Post Analysis for Hindi Text
M Agarwal, P Sahu, N Singh, P Sinha… - EAI Endorsed …, 2024 - publications.eai.eu
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 …
has become a major concern. These posts, which exhibit anger, aggression, or rudeness …
Recommender System: Towards Identification of Shilling Attacks in Rating System Using Machine Learning Algorithms
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 …
of a user, historical user data, browsing behavior, etc. to provide suitable recommendations …
Knowledge Adaptation for Cross-Domain Opinion Mining
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 …
and assisting them in making informed decisions. Trained machines perform well in the …
[PDF][PDF] Investigation of Bi-max algorithm for on-line purchase recommender system using social networks
B Akshaya, SK Akshaya… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objectives: Recommender systems in an E-commerce scenario, aim at improving a
product's visibility to a customer. Existing recommendation systems incorporate traditional …
product's visibility to a customer. Existing recommendation systems incorporate traditional …
Comparative Analysis of Music Genre Classification Framework Based on Deep Learning
SS Pattanaik, P Jain, P Sharma, S Rathore… - Workshop on Mining …, 2022 - Springer
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 …
system, as well as a music generation tool. In order to form a solid foundation to the …
Algorithm Optimization for Cold Start of Collaborative Filtering System
S Wang, J Yang, Q Zhao - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
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 …
grown and expanded rapidly with an exponential law, and its information organization is …