Abinash Pujahari

20 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AKS: Optimized Adaptive K-Nearest Neighbor-Based Oversampling for Imbalanced Datasets.
IEEE Access
Annam Nandini, Tapas Kumar Mishra, Abinash Pujahari, Kshira Sagar Sahoo
2026 J jnl
Cluster-guided adaptive multi-relational graph neural network for recommender systems.
Inf. Sci.
Jhansi Lakshmi Vigrahala, Abinash Pujahari
2026 J jnl
FIGNNCF: Feature integrated graph neural network based collaborative filtering for sequential recommendation.
Neurocomputing
Jhansi Lakshmi Vigrahala, Abinash Pujahari
2026 J jnl
Heterogeneous graph neural collaborative filtering with attribute completion for sparse recommendation.
Expert Syst. Appl.
Abinash Pujahari, Tapas Kumar Mishra, Rasmikanta Pati
2026 J jnl
Integrating Item-Item Semantic Similarity With Item Sequence in Graph Neural Network for Collaborative Filtering.
IEEE Access
Jhansi Lakshmi Vigrahala, Abinash Pujahari
2025 J jnl
APAROS: A Clustering-Based Hybrid Approach for Handling Overlapped Regions in Imbalanced Datasets.
IEEE Access
Annam Nandini, Tapas Kumar Mishra, Abinash Pujahari, Sanket Mishra
2025 J jnl
When latent features meet side information: A preference relation based graph neural network for collaborative filtering.
Expert Syst. Appl.
Xiangting Shi, Yakang Zhang, Abinash Pujahari, Sambit Kumar Mishra
2024 — conf
On Improving Neighborhood-Based Recommender Systems by Exploiting Similarity Measures.
OCIT
Jhansi Lakshmi Vigrahala, Abinash Pujahari
2023 J jnl
Modeling users' preference changes in recommender systems via time-dependent Markov random fields.
Expert Syst. Appl.
Abinash Pujahari, Dilip Singh Sisodia
2023 J jnl
Ordinal consistency based matrix factorization model for exploiting side information in collaborative filtering.
Inf. Sci.
Abinash Pujahari, Dilip Singh Sisodia
2022 J jnl
Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering.
IEEE Trans. Syst. Man Cybern. Syst.
Abinash Pujahari, Dilip Singh Sisodia
2022 J jnl
Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems.
Expert Syst. Appl.
Abinash Pujahari, Dilip Singh Sisodia
2021 J jnl
Clickbait detection using multiple categorisation techniques.
J. Inf. Sci.
Abinash Pujahari, Dilip Singh Sisodia
2021 J jnl
Preference relation based collaborative filtering with graph aggregation for group recommender system.
Appl. Intell.
Abinash Pujahari, Dilip Singh Sisodia
2020 J jnl
Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system.
Expert Syst. Appl.
Abinash Pujahari, Dilip Singh Sisodia
2020 J jnl
Clickbait Detection using Multiple Categorization Techniques.
CoRR
Abinash Pujahari, Dilip Singh Sisodia
2020 J jnl
Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System.
Knowl. Based Syst.
Abinash Pujahari, Dilip Singh Sisodia
2019 J jnl
Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for recommender systems.
Inf. Sci.
Abinash Pujahari, Dilip Singh Sisodia
2015 — conf
Group Recommender Systems: Combining User-User and Item-Item Collaborative Filtering Techniques.
ICIT
Abinash Pujahari, Vineet Padmanabhan
2014 — conf
An Approach to Content Based Recommender Systems Using Decision List Based Classification with k-DNF Rule Set.
ICIT
Abinash Pujahari, Vineet Padmanabhan