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

Multimedia tools and applications, 2021-05, Vol.80 (12), p.18553-18581

2021

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

Information sciences, 2025-01, Vol.689, p.121337, Article 121337

2025

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

Expert systems with applications, 2020-12, Vol.161, p.113673, Article 113673

2020

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Aspect based sentiment analysis using deep learning approaches: A survey

Computer science review, 2023-08, Vol.49, p.100576, Article 100576

2023

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

Expert systems with applications, 2021-10, Vol.179, p.115047, Article 115047

2021

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Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders

Information sciences, 2021-07, Vol.562, p.136-154

2021

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A mixed unsupervised method for aspect extraction using BERT

Multimedia tools and applications, 2022-09, Vol.81 (22), p.31881-31906

2022

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

Computer science review, 2024-08, Vol.53, p.100646, Article 100646

2024

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Stream Cipher

International journal of advanced research in computer science, 2016-11, Vol.7 (7)

2016

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Analysis of Government Flagship Programs using Public Feedbacks

2023 2nd International Conference for Innovation in Technology (INOCON), 2023, p.1-7

2023

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Image Encryption Decryption Using Simple and Modified Version of AES

Smart Systems and IoT: Innovations in Computing, 2019, Vol.141, p.641-653

2019

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A Review Level Aspect Extraction in Sentiment Analysis

2024 2nd International Conference on Computer, Communication and Control (IC4), 2024, p.1-7

2024

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Improved Deep Learning Model for Aspect Words Extraction

2023 IEEE World Conference on Applied Intelligence and Computing (AIC), 2023, p.286-292

2023

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

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-6

2023

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Hierarchical Attention for Aspect Extraction using LSTM in Fine-Grained Sentiment Analysis and Evaluation

Applied soft computing, Article 112408

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An Unsupervised Multiple Word-Embedding Method with Attention Model for Cross Domain Aspect Term Extraction

2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE), 2020, p.110-116

2020

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

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

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

Aspect based sentiment analysis using deep learning approaches: A survey

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

Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders

A mixed unsupervised method for aspect extraction using BERT

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

Stream Cipher

Analysis of Government Flagship Programs using Public Feedbacks

Image Encryption Decryption Using Simple and Modified Version of AES

A Review Level Aspect Extraction in Sentiment Analysis

Improved Deep Learning Model for Aspect Words Extraction

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

Hierarchical Attention for Aspect Extraction using LSTM in Fine-Grained Sentiment Analysis and Evaluation

An Unsupervised Multiple Word-Embedding Method with Attention Model for Cross Domain Aspect Term Extraction

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