Exploration of Users Rating on Reputed Items on Recommender Systems
Keywords:
Efficient Ranked Keyword Search, Search engine in DATA MINING, Security in Search engine, confidential data, searchable encryption.Abstract
Data mining is a subscription-based service where the networked storage space and computer resources can be obtained. Data mining economically enables the paradigm of data service outsourcing. However, to protect data privacy, sensitive DATA MINING data have to be encrypted before outsourced to the commercial public DATA MINING, which makes effective data utilization. In the proposed system, the problem of effective secure ranked keyword search over encrypted DATA MINING data is done. Ranked keyword search greatly enhances the system usability by returning the matching files in a ranked order. The existing technique resolves the optimization complexities in ranked keyword search and its effective utilization of remotely stored encrypted DATA MINING data. But it limits the further optimizations of the search results by preventing DATA MINING server to interact with DATA MINING users to maintain the integrity of actual owner’s keyword and the data associated with it. The aim is to define a framework which enhances the accuracy of the ranked keyword search by secured machine learning, which does not affect the data integrity.
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