Mahreen Nasir

Orcid: 0000-0002-5412-440X

Affiliations:
  • University of Windsor, School of Computer Science, ON, Canada


According to our database1, Mahreen Nasir authored at least 13 papers between 2019 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Content Based E-Commerce Dataset Recommendation System Using BERT and Named Entity Recognition.
Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Designing an AI-Driven Mobile Charging Station Network: Requirements and Opportunities.
Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

AI-Enabled Phishing Links Detection Using Machine Learning Models.
Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Personalizing E-Commerce by Optimizing LLMs for Tailored Product Recommendations.
Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Privacy-Preserving Machine Learning for Mental Health Prediction Using Homomorphic Encryption.
Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

2023
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation.
SN Comput. Sci., November, 2023

Semantic enhanced Markov model for sequential E-commerce product recommendation.
Int. J. Data Sci. Anal., January, 2023

2022
Semantic Embedded Sequential Recommendation for E-Commerce Products through Mining Customers’ Historical Interactions and Products’ Data.
PhD thesis, 2022

Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms.
Proceedings of the Information Integration and Web Intelligence, 2022

2021
Improving e-commerce product recommendation using semantic context and sequential historical purchases.
Soc. Netw. Anal. Min., 2021

Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Semantics Embedded Sequential Recommendation for E-Commerce Products (SEMSRec).
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019


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