Abinash Pujahari
Orcid: 0000-0002-5393-3782
According to our database1,
Abinash Pujahari authored at least 20 papers
between 2014 and 2026.
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Bibliography
2026
Cluster-guided adaptive multi-relational graph neural network for recommender systems.
Inf. Sci., 2026
FIGNNCF: Feature integrated graph neural network based collaborative filtering for sequential recommendation.
Neurocomputing, 2026
Heterogeneous graph neural collaborative filtering with attribute completion for sparse recommendation.
Expert Syst. Appl., 2026
Integrating Item-Item Semantic Similarity With Item Sequence in Graph Neural Network for Collaborative Filtering.
IEEE Access, 2026
AKS: Optimized Adaptive K-Nearest Neighbor-Based Oversampling for Imbalanced Datasets.
IEEE Access, 2026
2025
When latent features meet side information: A preference relation based graph neural network for collaborative filtering.
Expert Syst. Appl., 2025
APAROS: A Clustering-Based Hybrid Approach for Handling Overlapped Regions in Imbalanced Datasets.
IEEE Access, 2025
2024
On Improving Neighborhood-Based Recommender Systems by Exploiting Similarity Measures.
Proceedings of the OITS International Conference on Information Technology, 2024
2023
Modeling users' preference changes in recommender systems via time-dependent Markov random fields.
Expert Syst. Appl., December, 2023
Ordinal consistency based matrix factorization model for exploiting side information in collaborative filtering.
Inf. Sci., 2023
2022
Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems.
Expert Syst. Appl., 2022
2021
Preference relation based collaborative filtering with graph aggregation for group recommender system.
Appl. Intell., 2021
2020
Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System.
Knowl. Based Syst., 2020
Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system.
Expert Syst. Appl., 2020
2019
Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for recommender systems.
Inf. Sci., 2019
2015
Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques.
Proceedings of the 2015 International Conference on Information Technology, 2015
2014
An Approach to Content Based Recommender Systems Using Decision List Based Classification with k-DNF Rule Set.
Proceedings of the 2014 International Conference on Information Technology, 2014