Location Recommendation System on Point of Interest and Place-User Similarity

Abstract

Social Networking media and Internet handles ample ranging of the datasets and that can be synthesised and casted up to demonstrate the patterns ,drifts and association related to the nature of the individual and intercommunications. The rapid development of the networking connections made it further intricated to gain the required facts and figures from the voluminous data. The recommendation systems are the gadgets that proposes the users help with their requirements. Various filtering methods are available with which blend of two or more such methods provide hybrid variety of recommendation. This paper proposes a personalized location based recommendation based on two models i.e. point of interest and place-user similarity model respectively to produce more accurate recommendations. The developed models are evaluated with precision and recall measures.