Abinash Pujahari

About

PhD from NIT Raipur. Research Interests: Recommender System, Machine Learning, Deep Learning.

Employment

• Mahindra University Assistant Professor
  2026 - Present
• SRM University AP Assistant Professor
  2022 - 2025

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• When latent features meet side information: A preference relation based graph neural network for collaborative filtering
  Expert Systems with Applications 2025 DOI: 10.1016/j.eswa.2024.125423
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• Modeling users’ preference changes in recommender systems via time-dependent Markov random fields
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.121072
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• Ordinal consistency based matrix factorization model for exploiting side information in collaborative filtering
  Information Sciences 2023 DOI: 10.1016/j.ins.2023.119258
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• Efficient Question Answering in Chatbot Using TF-IDF and Cosine Similarity
  2023 DOI: 10.1007/978-981-19-3796-5_3
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• Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems
  Expert Systems with Applications 2022 DOI: 10.1016/j.eswa.2022.117849
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• Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering
  IEEE Transactions on Systems, Man, and Cybernetics: Systems 2022 DOI: 10.1109/TSMC.2022.3148675
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• Preference relation based collaborative filtering with graph aggregation for group recommender system
  Applied Intelligence 2021 DOI: 10.1007/s10489-020-01848-4
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• Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system
  Expert Systems with Applications 2020 DOI: 10.1016/j.eswa.2020.113476
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• Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System
  Knowledge-Based Systems 2020 DOI: 10.1016/j.knosys.2020.105798
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• Clickbait detection using multiple categorisation techniques
  Journal of Information Science 2019 DOI: 10.1177/0165551519871822
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