A.Pavan Kumar Reddy, B. Ganesh, A. Santhosh, B. Mukesh, B. DEEPIKA RATHOD

Abstract

Recommended systems are extensively utilised in a variety of fields, including as in energy conservation, e- commerce, health care and social networking sites, among others. In order to construct precise and effective recommender systems, such applications need the analysis and mining of enormous volumes of different sorts of user data, including demographics, preferences, social interactions, etc. Datasets containing sensitive information are common, however recommender systems tend to prioritise accuracy above security and privacy concerns. As a result, no risk reduction strategy has been totally effective in maintaining cryptographic security and the protection of the user's private information. Blockchain technology has emerged as a viable technique to increase security and privacy preservation in recommender systems, not only because of its security and privacy salient aspects, but also because of its resilience, flexibility, failure tolerance and trust characteristics. An