Ravi Nahta

According to our database, Ravi Nahta authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation.

Ravi Nahta, Ganpat Singh Chauhan, Yogesh Kumar Meena, Dinesh Gopalani

Inf. Sci., 2025

2024

Deep learning with the generative models for recommender systems: A survey.

Ravi Nahta, Ganpat Singh Chauhan, Yogesh Kumar Meena, Dinesh Gopalani

Comput. Sci. Rev., 2024

2023

Aspect based sentiment analysis using deep learning approaches: A survey.

Ganpat Singh Chauhan, Ravi Nahta, Yogesh Kumar Meena, Dinesh Gopalani

Comput. Sci. Rev., August, 2023

Deep Learning Model to Improve Teaching-Learning Process using Sentiment Analysis.

Ganpat Singh Chauhan, Neeraj Garg, Ravi Nahta, Yogesh Kumar Meena

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A mixed unsupervised method for aspect extraction using BERT.

Ganpat Singh Chauhan, Yogesh Kumar Meena, Dinesh Gopalani, Ravi Nahta

Multim. Tools Appl., 2022

2021

Embedding metadata using deep collaborative filtering to address the cold start problem for the rating prediction task.

Ravi Nahta, Yogesh Kumar Meena, Dinesh Gopalani, Ganpat Singh Chauhan

Multim. Tools Appl., 2021

Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders.

Ravi Nahta, Yogesh Kumar Meena, Dinesh Gopalani, Ganpat Singh Chauhan

Inf. Sci., 2021

A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation.

Ravi Nahta, Yogesh Kumar Meena, Dinesh Gopalani, Ganpat Singh Chauhan

Expert Syst. Appl., 2021

2020

A two-step hybrid unsupervised model with attention mechanism for aspect extraction.

Ganpat Singh Chauhan, Yogesh Kumar Meena, Dinesh Gopalani, Ravi Nahta

Expert Syst. Appl., 2020