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Privacy-enhancing personalized web search (2007)

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by Yabo Xu
Citations:39 - 0 self
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BibTeX

@MISC{Xu07privacy-enhancingpersonalized,
    author = {Yabo Xu},
    title = {Privacy-enhancing personalized web search},
    year = {2007}
}

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Abstract

Personalized web search is a promising way to improve search quality by customizing search results for people with individual information goals. However, users are uncomfortable with exposing private preference information to search engines. On the other hand, privacy is not absolute, and often can be compromised if there is a gain in service or profitability to the user. Thus, a balance must be struck between search quality and privacy protection. This paper presents a scalable way for users to automatically build rich user profiles. These profiles summarize a user’s interests into a hierarchical organization according to specific interests. Two parameters for specifying privacy requirements are proposed to help the user to choose the content and degree of detail of the profile information that is exposed to the search engine. Experiments showed that the user profile improved search quality when compared to standard MSN rankings. More importantly, results verified our hypothesis that a significant improvement on search quality can be achieved by only sharing some higher-level user profile information, which is potentially less sensitive than detailed personal information.

Keyphrases

web search    search quality    search engine    hierarchical organization    significant improvement    rich user profile    user interest    promising way    privacy protection    private preference information    profile information    individual information goal    user profile    search result    msn ranking    higher-level user profile information    specific interest    scalable way    privacy requirement    detailed personal information   

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