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Ravi Nahta
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2020 – today
- 2025
- [j8]Ravi Nahta
, Ganpat Singh Chauhan, Yogesh Kumar Meena
CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation. Inf. Sci. 689: 121337 (2025) - 2024
- [j7]Ravi Nahta
Deep learning with the generative models for recommender systems: A survey. Comput. Sci. Rev. 53: 100646 (2024) - 2023
- [j6]Ganpat Singh Chauhan
Aspect based sentiment analysis using deep learning approaches: A survey. Comput. Sci. Rev. 49: 100576 (2023) - [c1]Ganpat Singh Chauhan, Neeraj Garg, Ravi Nahta
Deep Learning Model to Improve Teaching-Learning Process using Sentiment Analysis. ICCCNT 2023: 1-6 - 2022
- [j5]Ganpat Singh Chauhan
A mixed unsupervised method for aspect extraction using BERT. Multim. Tools Appl. 81(22): 31881-31906 (2022) - 2021
- [j4]Ravi Nahta
A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation. Expert Syst. Appl. 179: 115047 (2021) - [j3]Ravi Nahta
Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders. Inf. Sci. 562: 136-154 (2021) - [j2]Ravi Nahta
Embedding metadata using deep collaborative filtering to address the cold start problem for the rating prediction task. Multim. Tools Appl. 80(12): 18553-18581 (2021) - 2020
- [j1]Ganpat Singh Chauhan, Yogesh Kumar Meena
A two-step hybrid unsupervised model with attention mechanism for aspect extraction. Expert Syst. Appl. 161: 113673 (2020)
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