A deep neural network-based hybrid recommender system with user-user networks
A Tanwar, DK Vishwakarma - Multimedia Tools and Applications, 2023 - Springer
In today's digital age, choosing the right product, web page, news article, or even a research
paper like this one from an extensive number of options is one of the most tedious tasks. The …
paper like this one from an extensive number of options is one of the most tedious tasks. The …
Mood-based song recommendation system using CNN
S Agrawal, S Sharma, Y Fulzele, R Bhasarkar… - AIP Conference …, 2023 - pubs.aip.org
In this paper a face recognition system using OpenCV's Haar Cascade classifier and
convolutional neural network (CNN) is used to suggest songs through Spotify web API. The …
convolutional neural network (CNN) is used to suggest songs through Spotify web API. The …
Recommending Open Educational Resources Using Weighted Linear Combination
Abstract Open Educational Resources are learning, instructional, and research materials in
any type. However, diverse groups of learners can gain access in open educational …
any type. However, diverse groups of learners can gain access in open educational …
Analysis of Movie Recommendation Systems
G Singh, HD Agarwal, G Kaur - 2023 14th International …, 2023 - ieeexplore.ieee.org
This research paper presents a comprehensive literature review of various movie
recommendation systems, including techniques such as sentiment analysis of comments …
recommendation systems, including techniques such as sentiment analysis of comments …
Mood Detection Using Tokenization: A Review
Tokenization and convolutional neural networks (CNNs) are being used for the task of mood
detection, emoji generation, and classification. Tokenization is helpful to break down text …
detection, emoji generation, and classification. Tokenization is helpful to break down text …
Construction of Personalized Movie Recommendation Model Relying on Recurrent Neural Network.
Q Xie - Journal of Electrical Systems, 2023 - search.ebscohost.com
Recommendation system and classification machine learning techniques have emerged as
a major area of investigation into the issue of information overload. Software tools called" …
a major area of investigation into the issue of information overload. Software tools called" …
Movie & Song Recommender System Based on Emotion Detection using Machine Learning
SK Singh, S Gupta, S Prajapati… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Emotions play a great role in human lives. Our mind unconsciously notices the emotions of
people we meet every day. It interprets the signals people emit through these emotions. It …
people we meet every day. It interprets the signals people emit through these emotions. It …
Computer Vision-Based Attendance System-A Review
WM Alshamsi, SH Alghaithi, TA Alkaabi… - 2024 Arab ICT …, 2024 - ieeexplore.ieee.org
Attendance systems are necessary in educational institutions to track student attendance
and guarantee that students are present for lessons. Traditional attendance methods, on the …
and guarantee that students are present for lessons. Traditional attendance methods, on the …
Enhancing Movie Recommendation Efficiency Using Ensemble Learning Techniques
AK Pandey, A Yadav, S Mishra - … International Conference on …, 2024 - ieeexplore.ieee.org
This research paper explores the “Movie Dataset” to create a better movie recommendation.
The data includes many features such as genre, ratings, players, and user preferences. Our …
The data includes many features such as genre, ratings, players, and user preferences. Our …
Emotionally Driven Film Referral System Using Color Psychology
P Anshu, M Elisetti, A Kumar - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The modern world comprises many forms of entertainment, the most common being movies.
Over the past decades, the methods of production, creation, and distribution of movies have …
Over the past decades, the methods of production, creation, and distribution of movies have …