Data Mining and Machine Learning Proj

This is an experimental project which may involve data mining and machine learning, clustering and collaborative filtering, statistical relational learning, feature generation through sql queries etc better recommendations of new products or items, leading to increased consumer purchases or satisfaction. integrate purchase history similarity (collaborative filtering) with item-based similarity (content-based recommendation). also develop a new measure of recommender performance, the CROC curve etc, which is appropriate in recommending items to many people. The project will be well defined and focused, design document, implementation and some results need to be generated. it is not scuh a big task but innovative and creative design document and results and implementation will be needed. will give the specific details upon interest shown. background in AI, mathematics, Machine learning and statistical learning, algorithms and optimization etc is commendable. ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables): a) For web sites or other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment. b) For all others including desktop software or software the buyer intends to distribute: A software installation package that will install the software in ready-to-run condition on the platform(s) specified in this bid request. 3) All deliverables will be considered "work made for hire" under U.S. Copyright law. Buyer will receive exclusive and complete copyrights to all work purchased. (No GPL, GNU, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site per the coder's Seller Legal Agreement). ## Platform Any