Gopal Behera

Orcid: 0000-0002-5871-9312

According to our database1, Gopal Behera authored at least 12 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A mixed deep neural network for addressing the cold-start problem in recommender systems.
Clust. Comput., June, 2026

LGAT: Lightweight Graph Attention Model for Real-Time Session-Based Recommendation System.
Int. J. Perform. Eng., 2026

2024
Integrating metadata into deep autoencoder for handling prediction task of collaborative recommender system.
Multim. Tools Appl., April, 2024

Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering.
Multim. Syst., April, 2024

Hybrid collaborative filtering using matrix factorization and XGBoost for movie recommendation.
Comput. Stand. Interfaces, 2024

Active Learning Framework for Anomaly Detection in Astronomical Data.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis.
Proceedings of the Computing, Communication and Learning - Third International Conference, 2024

2023
The State-of-the-Art and Challenges on Recommendation System's: Principle, Techniques and Evaluation Strategy.
SN Comput. Sci., September, 2023

2022
Handling data sparsity via item metadata embedding into deep collaborative recommender system.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

2021
Collaborative Recommender System (CRS) Using Optimized SGD - ALS.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

2019
Grid Search Optimization (GSO) Based Future Sales Prediction for Big Mart.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

A Comparative Study of Big Mart Sales Prediction.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019


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