Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Pegah Malekpour Alamdari
Affiliation
Department of Computer Engineering, Qeshm Branch, Islamic Azad University, Qeshm, Iran
Topic
ACM Digital Library,Big Data,Cold-start Problem,Collaborative Filtering,Comparison Of Mechanisms,Data Sparsity Problem,E-commerce Websites,Filtering Mechanism,High Operational Costs,Hybrid Mechanism,IEEE Xplore,Implicit Feedback,Internet Of Things,Low Scalability,Open Issues,Operational Costs,Personalized Recommendations,Quality Of Recommendations,Query Time,Recommendation Method,Recommendations For Users,Recommender Systems,Response Time,Serendipitous,Small And Medium-sized Enterprises,Systematic Review,Use Of Data,User Preferences,User Satisfaction,
Biography
Pegah Malekpour Alamdari received the B.S. degree in computer and software engineering from Islamic Azad University International Jolfa Branch, Jolfa, Iran, in 2010, and the M.Sc. degree in computer science from Tabriz University, Tabriz, Iran, in 2013. She is currently pursuing the Ph.D. degree with the Department of Computer Engineering, Qeshm Branch, Islamic Azad University, Qeshm, Iran. Her research interests include recommender systems, E-commerce, machine learning, data mining, and programming.