Abinash Pujahari

20 papers Journal 17Unranked 3

Year	Rank	Type	Title / 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