Hybrid Recommender System For Spatiotemporal Data

This work discusses a framework "RAiSE" which is a tailored hybrid recommendation engine which recommends best areas for sowing a particular crop based on climatic pattern exploration.The system exploits the merits of different techniques namely- parallel processing, clustering and classification in obtaining the results. It uses the power of new age big data technologies like Hadoop in achieving its goals.