Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search
Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search
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DOI：
10.1145/3209978.3210180
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Puxuan Yu;Wasi Uddin Ahmad;Hongning Wang
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文献类型：
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作者：
Puxuan Yu;Wasi Uddin Ahmad;Hongning Wang
我们开发了Hide-n-Seek，一个用于个性化Web搜索的意图感知隐私保护插件。除了用户的真实搜索查询之外，Hide-n-Seek还向外部搜索引擎提交k个覆盖查询和相应的点击，以通过模仿真实查询序列来伪装基于并在搜索会话中加强的用户的搜索意图。覆盖查询是从主题层次结构中合成和随机采样的，其中每个节点表示通过在抓取的Web文档上构建的n-gram和神经语言模型估计的连贯搜索主题。Hide-n-Seek还根据客户端开发和维护的真实用户配置文件对返回的搜索结果进行重新排名，从而对搜索结果进行个性化处理。通过各种图形用户界面，我们提出了基于主题的查询混淆机制，让最终用户消化他们的搜索隐私是如何保护的。
We develop Hide-n-Seek, an intent-aware privacy protection plugin for personalized web search. In addition to users' genuine search queries, Hide-n-Seek submits k cover queries and corresponding clicks to an external search engine to disguise a user's search intent grounded and reinforced in a search session by mimicking the true query sequence. The cover queries are synthesized and randomly sampled from a topic hierarchy, where each node represents a coherent search topic estimated by both n-gram and neural language models constructed over crawled web documents. Hide-n-Seek also personalizes the returned search results by re-ranking them based on the genuine user profile developed and maintained on the client side. With a variety of graphical user interfaces, we present the topic-based query obfuscation mechanism to the end users for them to digest how their search privacy is protected.