Context Adaptation for Smart Recommender Systems PROJECT TITLE :Context Adaptation for Smart Recommender SystemsABSTRACT:Contextual factors are considered an necessary mediator for improving recommender system performance. Within the e-commerce sector, such contextual factors as users' real-time approach and budget play a critical role in shoppers' call-creating processes. Using a context-aware approach, the authors' recommendation model can identify users' state of mind and budget based mostly on clickstream knowledge. They've deployed their model on a French e-commerce web site for a comparative A/B take a look at. Results show that usage of the context-aware system is considerably on top of that for the benchmarking system. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Dynamic Force Characterization Microscopy Based on Integrated Nanorobotic AFM and SEM System for Detachment Process Study Analytical Calculation of Synchronous Reactances of Homopolar Inductor Alternator
