A healthy food recommendation system by combining clustering technology with the Weighted slope one Predictor

The recommendation selected data from hundreds of entries to get reliable and accurate information that is just learning to predict unknown information. Weighted slope one which is optimized to work execution and dynamic that create appropriate recommendations and get a satisfied answer by improving screening metric information and using it to predict user group and item. We improve recommendation systems by combining clustering technology with the Weighted slope one Predictor into a hybrid food recommender system with reduced data and lower error rate. This technique can also be applied to other systems that use satisfaction ratings.