Birla Institute of Technology, Mesra
Faculty Image

Dr. Richa

Joined Institute on : 16-Mar-2023

  • Assistant Professor
  • Computer Science and Engg
  • PhD
Contact Address

TA-1 BIT Mesra Campus, Ranchi, Jharkhand

Utkarsh Bhawan, Attardah, Muzaffarpur, Bihar-842001

  • Phone Office - NA
  • Phone Residence - NA
  • Email - richasingh@bitmesra.ac.in
Work Experience

Teaching : 4 Years

Research : 7 Years

Individual: 3 Years
Research Areas

Artificial Intelligence, Machine Learning, Information Retrieval, Recommender Systems
Publications
  • Richa, and Punam Bedi. "Trust and Distrust based Cross-domain Recommender System." Applied Artificial Intelligence 35, no. 4 (2021): 326-351. 
  • Richa and Punam Bedi. ”Trust and Fuzzy Inference Based Cross Domain Serendipitous Item Recommendations (TFCDSRS)” Journal of Intelligent & Fuzzy Systems. Print ISSN: 1064-1246, Online ISSN: 1875-8967, 1-13, 
  • Richa and Punam Bedi. "Combining trust and reputation as user influence in cross domain group recommender system (CDGRS)." Journal of Intelligent & Fuzzy Systems Preprint (2020): 6235-6246, Print ISSN: 1064-1246, Online ISSN: 1875-8967.
  • Richa and Punam Bedi. "Parallel proactive cross domain context aware recommender system." Journal of Intelligent & Fuzzy Systems, 34, no. 3 (2018): 1521-1533, Print ISSN: 1064-1246, Online ISSN: 1875-8967.
  • Richa and Punam Bedi, "Parallel Context-Aware Multi-Agent Tourism Recommender System", Int. J. Computational Science and Engineering (2017), Online ISSN: 1742-7193, Print ISSN: 1742-7185, 536-549.
  • Bedi, Punam, Sumit Kumar Agarwal, and Richa. "Trust and reputation-based multi-agent recommender system." International Journal of Computational Science and Engineering 16, no. 4 (2018): 350-362.
  • Perumal, Saravanakeerthana, Siddhi Rawal and Richa. "Handling Cold-Start Problem in Restaurant Recommender System Using Ontology." In Proceedings of Emerging Trends and Technologies on Intelligent Systems: ETTIS 2022, pp. 319-329. Singapore: Springer Nature Singapore, 2022.
  • Ramchander, V and Richa. "A Comparative Analysis of Stock Value Prediction Using Machine Learning Technique." In Recurrent Neural Networks, pp. 65-82. CRC Press, 2023.
  • Richa, Shivani Gupta, and Ninad Pravin Sabnis. "A Study on the Behavior of Machine Learning Algorithms in Healthcare Datasets." In Handbook of Research on Quantum Computing for Smart Environments, pp. 388-415. IGI Global, 2023.
  • Richa, Chhavi Sharma, and Punam Bedi. "Explanation-Based Serendipitous Recommender System (EBSRS)." In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 3, vol. 1394, p. 1. Springer Nature, 2021.
  • Richa and Punam Bedi. (2016). Parallel Context Aware Recommender System using GPU and JCuda, In  proceedings ICACCI 2016 - International Conference on Advances in Computing, Communications and Informatics, Jaipur, India, Sept. 21-24, 2016: 1388-1394. USA: IEEE Xplore.
  • Punam Bedi, Richa, Sumit Kumar Agarwal and Veenu Bhasin. (2016). ELM Based Imputation-Boosted Proactive Recommender Systems. In  proceedings ICACCI 2016 - International Conference on Advances in Computing, Communications and Informatics, Jaipur, India, Sept. 21-24, 2016: 80-85. USA: IEEE Xplore.
  • Punam Bedi, Richa. (2015). User Interest Expansion using Spreading activation for Generating Recommendations, In proceedings ICACCI 2015 - Fourth International Conference on Advances in Computing, Communications and Informatics, Kochi, Kerala, India, August 10 - 13 , 2015: 766 – 771. USA: IEEE Xplore. Print ISBN: 978-1-4799-8791-7, Online ISBN: 978-1-4799-8792-4.
  • Punam Bedi, Anjali Gautam, Richa and Chhavi Sharma. (2014). Using Novelty Score of Unseen items to Handle Popularity Bias in Recommender Systems. In proceedings IC3I - International Conference on Contemporary Computing and Informatics, November 27 – 29, 2014, Mysore, India: 934-939. USA: IEEE Xplore.
  • Bedi, Punam, Sumit Kumar Agarwal, Vinita Jindal and Richa. (2014). MARST: Multi-Agent Recommender System for e-Tourism using Reputation Based Collaborative Filtering, In proceedings DNIS 2014 - 9th International Workshop- Databases in Networked Information Systems,  Aizu, Japan, March 24-26, 2014, LNCS 8381: 189–201. ISSN: 0302-9743. Springer, cham