A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems

The exponential growth of over-the-top (OTT) entertainment has fueled a surge in content consumption across diverse formats, especially in regional Indian languages. With the Indian film industry producing over 1500 films ann... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.063973
Citations
1
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
1.28
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article

A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems

Swetha Parvatha Reddy Chandrasekhara, Ravi Nahta, Nagaraj Naik
1 citations
Computer Modeling in Engineering & Sciences
Generative Adversarial Networks and Image Synthesis
1.28
article

A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems

Swetha Parvatha Reddy Chandrasekhara, Ravi Nahta, Nagaraj Naik
article en
1 citations

Abstract

The exponential growth of over-the-top (OTT) entertainment has fueled a surge in content consumption across diverse formats, especially in regional Indian languages. With the Indian film industry producing over 1500 films ann... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 144(1)
Openalex Percentile: Top 18%
Generative Adversarial Networks and Image Synthesis
1.28
DOIOpen Access PDFOpenAlex
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A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems — Swetha Parvatha Reddy Chandrasekhara, Ravi Nahta, et al. · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS