Mobile Based Landscape Recommender System

Abstract

The paper reviews and what we collect the data from recent research in mobile based landscape recommender systems both in the field of Computer Science and Information Technology Systems. The goal of this work is to recommend the similar result or related to the given object which is image form and possible directions for future search. Mobile based landscape recommender system develops for interacting with statistical information data. They provide a prediction view of such spaces, predict items which is like be the interest or against given object which is landscape images by user. Landscape recommender system consist of mobile application which is android based incorporated a wide variety of machine learning techniques including learning, data mining, prediction modelling, trained and testing datasets, and satisfaction, among others. This prosperity of practical mobile application experience has provided inspiration to researchers to extend the reach of recommender systems into new and challenging areas. The purpose of this development is to improve of the current recommender system research and identify the future directions in the field of machine learning. Better approaches we are using to enhance the recommendations.