Abstract: Privacy-preserving data publishing for personalization is a hot research topic in technique for controlling pri- vacy disclosure in data publishing in recent years. An overview of this area was given in this survey. First, on the basis of analyzing types of different personalization service, relevant anonymization models of personalization privacy were built. Second, according to the different adopting technictues, a summarization of the art of personalization privacy-pre- serving techniques was given, and the fundamental principles and characteristics of various techniques were generally de- scribed. In addition, some existing privacy measure methods and standards were provided, according to the differences of information measure of adopted algorithms. Finally, based on the comparison and analysis of existing researches, future research directions of privacy-preserving data publishing for personalization were forecasted.

Key words: Data publishing, Personalization, Privacy-preserving, AnonymiGation