Saran Chaitanya Vinnakota

Employment

• National Institute of Technology Karnataka Temporary Faculty
  2019 - 2019
• SRM AP Assistant Professor

Education

• National Institute of Technology Karnataka Ph.D
  2019 - 2025
• National Institute of Technology Puducherry M.Tech
  2017 - 2019
• G Pulla Reddy Engineering College (Autonomous) B.Tech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Understanding dynamic user preferences using user-centric reservoir model for enhancing personalization
  Vinnakota Saran Chaitanya, Harshil Jain, P. Santhi Thilagam
  International Journal of Information Technology 2025 DOI: 10.1007/s41870-025-02641-7
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• PRIDES: A Probabilistic Model for Recurrent User Interest Drift Identification in Session-Based Recommendation
  Vinnakota Saran Chaitanya, P. Santhi Thilagam
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3564460
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• A RNN-Based Model to Increase the Diversity in a Session-based Recommender System
  P. Santhi Thilagam, Vinnakota Saran Chaitanya, Mahesh Mohan
  International Journal of Business Information Systems 2023 DOI: 10.1504/ijbis.2023.10055947
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• User Interest Drift Identification Using Contextual Factors in Implicit Feedback-Based Recommender Systems
  Vinnakota Saran Chaitanya, Sayali Deo, P. Santhi Thilagam
  Lecture Notes in Computer Science 2023 DOI: 10.1007/978-3-031-45170-6_35
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• A Clustering-based model for the Generation of Diversified Recommendations
  Vinnakota Saran Chaitanya, Mahesh Mohan, P. Santhi Thilagam
  2022 IEEE Silchar Subsection Conference (SILCON) 2022 DOI: 10.1109/silcon55242.2022.10028791
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• Diversifying the predictions in the recommender systems
  Zahra Aminafshar, Ruhollah Bayat, Mohsen Hooshangi
  International Journal of Business Information Systems 2021 DOI: 10.1504/IJBIS.2021.119187
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• Facial Expression Recognition Using Geometric Landmark Points and Convolutional Neural Networks
  N. P. Gopalan, Sivaiah Bellamkonda, Vinnakota Saran Chaitanya
  2018 International Conference on Inventive Research in Computing Applications (ICIRCA) 2019 DOI: 10.1109/icirca.2018.8597226
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