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Constructing plausible innocuous pseudo queries to protect user query intention

机译:构造合理的无害伪查询以保护用户查询意图

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摘要

Users of web search engines are increasingly worried that their query activities may expose what topics they are interested in, and in turn, compromise their privacy. It would be desirable for a search engine to protect the true query intention for users without compromising the precision-recall performance. In this paper, we propose a client-based approach to address this problem. The basic idea is to issue plausible but innocuous pseudo queries together with a user query, so as to mask the user intention. First, we present a privacy model which formulates plausibility and innocuousness, and then the requirements which should be satisfied to ensure that the user intention is protected against a search engine effectively. Second, based on a semantic reference space derived from Wikipedia, we propose an approach to construct a group of pseudo queries that exhibit similar characteristic distribution as a given user query, but point to irrelevant topics, so as to meet the security requirements defined by the privacy model. Finally, we conduct extensive experimental evaluations to demonstrate the practicality and effectiveness of our approach. (C) 2015 Elsevier Inc. All rights reserved.
机译:Web搜索引擎的用户越来越担心他们的查询活动可能会暴露他们感兴趣的主题,从而损害他们的隐私。对于搜索引擎而言,希望在不影响精确调用性能的情况下保护用户的真实查询意图。在本文中,我们提出了一种基于客户端的方法来解决此问题。基本思想是与用户查询一起发出合理但无害的伪查询,以掩盖用户意图。首先,我们提出一种隐私模型,该模型表述了合理性和无害性,然后提出了要满足的要求,以确保有效保护用户的意图免受搜索引擎的侵害。其次,基于从Wikipedia派生的语义参考空间,我们提出了一种方法来构造一组伪查询,这些伪查询具有与给定的用户查询相似的特征分布,但指向不相关的主题,从而满足由Wikipedia定义的安全性要求。隐私模型。最后,我们进行了广泛的实验评估,以证明我们方法的实用性和有效性。 (C)2015 Elsevier Inc.保留所有权利。

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