Abstract
Obtaining personalized information service of library must inevitably involve the readers’ personal information. In the Big Data times, the readers’ personal information is often leaked out, which will directly influence the readers’ satisfaction and trust for the personalized information service of the library. This article aims to discuss the sorts of potential security risks by using the descriptive method and the analytical method, and list the effective strategies for the defense of readers’ personal information. The outcome is that only by working out effective strategies of protection can we strengthen the protection of readers’ personal information, and eliminate the possible potential safety risks, and ensure the smooth development of personalized information service of the library.
Highlights
In Big Data times, library is facing the choice to tackle the Big Data challenge, such as the collecting, integrating and researching of the structural and nonstructural data, which is explicated and implicated in readers’ behavior
Protecting the readers’ privacy is an inevitably important project to solve in the personalized information service of the library in Big Data times
The active information refers to the personal data and demand when they apply for personalized information service of the library (PISL), among which lots of contents that can directly recognize the readers’ identity and features are involved; automatic information is the personalized service system automatically captures and records all kinds of activities of personal log files every time they enter the website, apply for the service and transfer information, etc
Summary
In Big Data times, library is facing the choice to tackle the Big Data challenge, such as the collecting, integrating and researching of the structural and nonstructural data, which is explicated and implicated in readers’ behavior. Protecting the readers’ privacy is an inevitably important project to solve in the personalized information service of the library in Big Data times. Only by working out effective strategies for protection can we strengthen the defense of readers’ personal information, eliminate the possible potential safety risks, and ensure the smooth development of personalized information service of the library (PISL)
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