Hybrid And Ensemble Based Personalized Recommender System Solving Data Sparsity Problem
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Hybrid and Ensemble-based Personalized Recommender System -- Solving Data Sparsity Problem
Online content streaming is the most popular form of entertainment in recent times due to COVID 19 lockdown. Streaming services have seen a surge in users since the past year with more and more people turning towards online on-demand entertainment services. All popular streaming services use various product recommendation schemes to retain users to their services by intriguing them with content that they might like. Various recommendation systems have been used by famous streaming services like Netflix, Amazon Prime, Hulu, etc. but they lack consistency and accuracy as they suffer from some severe problems such as the first rater problem, sparsity problem, and various computation problems. In this research, I have come up with a hybrid machine learning recommender system which uses an ensemble of content-based and collaborative filtering techniques to not only solve all data sparsity problems but also provide more personalized recommendations to the users based on their watching history and user profile. This research provides a new algorithm that increases the quality of content that is being recommended to the users and hence streaming services can benefit manyfold using this technology.
Recent Trends in Intelligence Enabled Research
Author: Siddhartha Bhattacharyya
language: en
Publisher: Springer Nature
Release Date: 2023-06-22
This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security
Author: Paulo J. Sequeira Gonçalves
language: en
Publisher: Springer Nature
Release Date: 2024-12-04
This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05) Volume 2, organized in India, during 8th–9th April, 2024. The conference was hosted at GEHU, Bhimtal Campus in India . It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.