Back close

Customizable Product Recommender Systems

School: School of Engineering, Coimbatore

Project Incharge:Dr. Vidhya Balasubramanian
Customizable Product Recommender Systems

Current product recommender systems only allow users to select from off the shelf products. However if they wish to mix and match components to create customized products, current recommendation systems do not support that. For instance based on user requirements current systems may suggest different desktop computers, however they cannot suggest configurations that allow users to add a different memory card or additional hard disk. Our goal in this project is to expand the way recommendation systems work so that they can suggest the products along with their customizable components to customers and give them a greater choice in shopping. As a part of this project new models to represent this problem and  novel and efficient solutions for the same are being developed.

Related Projects

Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
MetaSim
MetaSim
Admissions Apply Now