Abstract

Future shopping applications collect basic profile information of the person and provide great service on recommending books, electronics and other products based on user profile, previous shopping history and relationships between the items categories derived from purchases of all the users on the site. E.g. if someone is looking at action movies it can recommend similar category or a category that the shopper is likely to be associated with. The mining of user's profile greatly enhances a person's shopping experience on modern online shops. The main purpose of this paper is solving the privacy and security issues.

Highlights

  • Knowledge Attack: k-Anonymity does not protect against attacks based on background knowledge [1].Mobile is intermediary device social data, database and recommendation engine

  • Future shopping applications collect basic profile information of the person and provide great service on recommending books, electronics and other products based on user profile, previous shopping history and relationships between the items categories derived from purchases of all the users on the site

  • The use of online social networks by libraries is an increasingly prevalent and growing tool that is being used to communicate with more potential library users, as well as extending the services provided by individual libraries

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Summary

INTRODUCING SOCIAL NETWORKING

A social network is a social structure made of nodes (which are generally individuals or organizations) that are tied by one or more specific types of interdependency, such as values, visions, ideas, financial exchange, friendship, relationships, kinship, dislike, conflict or trade. Social networks are being used to foster teacher-parent communication These sites make it possible and more convenient for parents to ask questions and voice concerns without having to meet face-to-face. The use of online social networks by libraries is an increasingly prevalent and growing tool that is being used to communicate with more potential library users, as well as extending the services provided by individual libraries. Since people spend more hours on the social network, profiles can be mined using the stated profile, usage patterns, group patterns and many more. It is possible for individuals and marketers to get benefited from the information, provided the privacy and data security concerns are addressed

PRIVACY ISSUES
RELATED WORK
OUR PROPOSED SYSTEM
COMPARISON TABLE
Background
CONCLUSION
VIII REFERENCES

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