Personalized search using identity-based hashing

  • Authors:
  • Kei Karasawa

  • Affiliations:
  • Nippon Telegraph and Telephone Corporation, Tokyo, Japan

  • Venue:
  • Proceedings of the 4th ACM workshop on Digital identity management
  • Year:
  • 2008

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Abstract

This paper presents a method to retrieve shared information on tagging systems more easily using ordinary search engines. This paper focuses on sharing multimedia data, such as photos and videos, and describes a method of personalized searches with privacy protection by using an identity-based hashing function. Secure implementation and seamless integration into current search services, without any changes, are also described. That is, this method can be used in the current computing environment. Evaluations showed that the additional storage requirement is only 10% and that the system responds in 10 seconds with 1000 dummy results for anonymization.