Abinash Pujahari

Orcid: 0000-0002-5393-3782

According to our database1, Abinash Pujahari authored at least 12 papers between 2014 and 2023.

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

Timeline

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Bibliography

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
Clickbait detection using multiple categorisation techniques.
J. Inf. Sci., 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

Clickbait Detection using Multiple Categorization Techniques.
CoRR, 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


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