Protective Approach to User Secrecy and Recommendation Using Homomorphic Scheme

In the recommended systems, online service accesses users proles and generating valuable dynamic recommendations. Relay on the privacy info collect from users, it is generating recommendations in online services. To secure privacy of user it is important obligations of Information architecture. The Recommendation System has to identify by privacy of users and info and service providers. The information protection systems mainly provide security from malicious users like control access to malicious users and also provide secure transmissions, but does not provide security against the service provider. This produces main risk for user. We are protecting private info of user against services provider when protecting functionality of system. We are recommending encrypted personal data and process encrypted info to generate the recommendation. Here construct efficient systems and does not required active participation of users by semi trusted third party. Existing private recommendations system is consisting of Paillier system but system is difficult and an inefficient. We solve the problem by using ElGamal algorithm.