The primary aim of this project is to develop a relational Bayesian model for recommendation systems to improve the prediction accuracy by fusing the various types of auxilliary information to achieve better prediction accuracy. Apart from this, is to develop a distributed learning algorithm for this proposed model to make it scalable for large scale datasets. Further information shall be provided during finalization. Need experts who can build project within a week or less
Recommendation Sys Project -- 2
Please directly dm me for a detailed discussion.
I can complete this project asap. I have already done similar projects.
Or you can hire me @
https://www.freelancer.com/u/tbukhari9
Regards.