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Shyama Prasad Mukherji College for Women

University Of Delhi

श्यामा प्रसाद मुखर्जी महिला महाविद्यालय

दिल्ली विश्वविद्यालय
PERMANENT FACULTY
Dr. Jaya Gera
Dr. Akanksha Bansal Chopra (Teacher In-charge)
Dr. Anuradha Singhal
Mansi Sood
Sonia Kumari
Dr. Manish Kumar Singh
Seema Rani
Pratibha Yadav
Dr. Shweta Tyagi
Savita Devi
Luvkush Gupta
AD-HOC FACULTY
Geeta Arneja
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Basic Details

Full Name Dr. Shweta Tyagi
Department Computer Science
Email shwetacs@spm.du.ac.in
Phone Number 11 25224499
Address Shyama Prasad Mukherji College for Women
Resume View Resume
Profile Picture

Educational Details

Undergraduate Degree: B.Sc.

Undergraduate University: CCS University

Postgraduate Degree: M.Tech.

Postgraduate University: JNU

Postgraduate Year: 2008

PhD Degree: Computer Science

PhD University: JNU

PhD Year: 2013

Other Qualifications: M.Sc (Mathematics) from IIT Delhi in 2003

Teaching Experience

Designation: Assistant Professor

Years of Experience: 12

Subjects Taught: Theory of Computation, Data Mining, Programming in R, Systems Programming and Compiler Design, Computer Fundamentals, Mathematics for Computing, Probability for Computing, Linear Algebra, Numerical Methods

Assigned Courses: B.Sc (Hons) Comp Sc, B.Tech (Computer Science), BA (Prog)

Research Interests

  1. Information Filtering
  2. Recommender Systems
  3. Data Mining

Publications

Journal Publications:
  1. Shweta Tyagi and Kamal K. Bharadwaj, A Hybrid Recommender System using Rule-based and Case-based Reasoning, International Journal of Information and Electronics Engineering (IJIEE), IACSIT, Vol.2(4), pp. 586-590, 2012, ISSN: 2010-3719.
  2. Shweta Tyagi and Kamal K. Bharadwaj, Enhancing Collaborative Filtering Recommendations by utilizing Multi-objective Particle Swarm Optimization Embedded Association Rule Mining, Swarm and Evolutionary Computation, Elsevier, Volume 13, pp. 1–12, December 2013, ISSN: 2210-6502. (Impact factor: 10)
  3. Shweta Tyagi and Kamal K. Bharadwaj, A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI Global, Vol. 1 (1), pp. 48-64, 2014, ISSN: 2334-4598, EISSN: 2334-4601.
  4. Shweta Tyagi and Kamal K. Bharadwaj, A Hybrid Knowledge-based Approach to Collaborative Filtering for Improved Recommendations, International Journal of Knowledge-Based and Intelligent Engineering Systems, IOS Press, Vol. 18, 2, pp. 121-133, 2014, ISSN: 1327-2314 (Print), 1875-8827 (Online). (Impact Factor: 0.7)
  5. Pratibha Yadav and Shweta Tyagi, Hybrid Fuzzy Collaborative Filtering: An Integration of Item-based and User-based Clustering Techniques, Int. J. of Computational Science and Engineering, Inderscience, 2017, Vol. 15, 3-4, pp. 295-310, Print ISSN: 1742-7185 Online ISSN: 1742-7193 (Impact factor: 2)
  6. Pratibha Yadav, Shweta Tyagi and Harmeet Kaur. (2023) Evolutionary Extreme Learning Machine based Collaborative Filtering, International Journal of Advanced Technology and Engineering Exploration, Vol. 10, 858-874, Print ISSN:2394-5443 Online ISSN: 2394-7454
Conference Papers:
  1. Shweta Tyagi and Kamal K. Bharadwaj, Trust-Enhanced Collaborative Filtering for Knowledge-based Recommender Systems, In proceedings of the Second International Conference on Intelligent Human Computer Interaction (IHCI 2010), IIIT Allahabad, India, Springer, pp.269-276, 2010, ISBN: 978-81-8489-540-7.
  2. Shweta Tyagi and Kamal K. Bharadwaj, A Collaborative Filtering Framework based on Fuzzy Case-based Reasoning, In proceedings of the International Conference on Soft Computing for Problem Solving, Springer AISC Series, Vol 130, pp. 279-288, 2012, Print ISBN: 978-81-322-0486-2, Online ISBN: 978-81-322-0487-9.
  3. Shweta Tyagi and Kamal K. Bharadwaj, Enhanced New User Recommendations based on Quantitative Association Rule Mining, In proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies (ANT 2012), Niagara Falls, Ontario, Canada, Procedia Computer Science, Elsevier, 10, pp. 102 – 109, 2012, ISSN: 1877-0509.
  4. Shweta Tyagi and Kamal K. Bharadwaj, Trust-Enhanced Recommender System based on Case-based Reasoning and Collaborative Filtering, In proceedings of the 2nd International Conference on Power, Control and Embedded Systems (ICPCES – 2012), IEEE, pp. 1 – 4, Print ISBN: 978-1-4673-1047-5.
  5. Pratibha Yadav, Shweta Tyagi and Harmeet Kaur, "Integrating Transitivity in Collaborative Filtering-Based Recommender System," 2023 IEEE 20th India Council International Conference (INDICON), Hyderabad, India, 2023, pp. 380-385
Books:
  1. Proceedings of National Conference on Advances in Computer and Information Technology, Department of Computer Science, Shyama Prasad Mukherji College, University of Delhi, New Delhi, Shweta Tyagi, Baljeet Kaur and Pooja Vashisth (Eds.), 2016, ISBN: 978-93-5258-249-5.
  2. Proceedings of National Conference on Emerging Trends in Information Technology, Cyber Security- Issues and Challenges, Special Issue of Journal of Institute of Information Technology and Management, Institute of Information Technology and Management, New Delhi, J. C. Sharma; Rachita Rana; Anil Chopra; Sandhya Maitra; Prerna Mahajan; Harsha Ratnani; Geetali Banerji; Shweta Tyagi (Eds.), Vol 4, Issue 1(A), pp. 1-107, Jan-June 2013, ISSN: 0976-8629.
Book Chapters:
  1. Shweta Tyagi, Pratibha Yadav, Moni Arora, Pooja Vashisth. (2019) Predicting Users’ Interest through ELM-Based Collaborative Filtering. In: Shukla R., Agrawal J., Sharma S., Singh Tomer G. (eds) Data, Engineering and Applications, pp 23-33, Print ISBN 978-981-13-6346-7, Online ISBN 978-981-13-6347-4. Springer, Singapore