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    • 3. 发明申请
    • METHOD AND APPARATUS FOR PERFORMING CONTEXT-BASED ENTITY ASSOCIATION
    • 用于执行基于语境的实体协会的方法和装置
    • US20110113028A1
    • 2011-05-12
    • US12617370
    • 2009-11-12
    • Jessica N. StaddonRichard ChowPhilippe J.P. GolleLisa S. Purvis
    • Jessica N. StaddonRichard ChowPhilippe J.P. GolleLisa S. Purvis
    • G06F17/30
    • G06Q30/0241G06Q10/00
    • A targeted advertising system performs context-based association mining using a publicly available corpus to identify a product or brand name that, under a given context, is associated with a product or brand being marketed. The system analyzes documents within the publicly available corpus that are associated with the given context, and identifies products or brand names that have a high association to the product or brand being marketed. The system can also analyze the publicly available corpus to determine contextual information which is correlated to two or more products or brand names. This contextual information includes a set of terms that facilitates filtering the publicly available corpus into an optimal set of documents that has a high association to a desired market category or demographic.
    • 有针对性的广告系统使用公开可用的语料库来执行基于上下文的关联挖掘,以识别在给定上下文与正在上市的产品或品牌相关联的产品或品牌名称。 系统分析与给定上下文相关联的公开可用语料库中的文档,并且识别与被销售的产品或品牌具有高关联性的产品或品牌名称。 系统还可以分析公开的语料库,以确定与两个或多个产品或品牌名称相关的上下文信息。 该上下文信息包括一组术语,其有助于将公开可用的语料库过滤成与期望的市​​场类别或人口统计学高度关联的最佳文档集合。
    • 4. 发明申请
    • OUTBOUND CONTENT FILTERING VIA AUTOMATED INFERENCE DETECTION
    • 通过自动检测的OUTBOUND内容过滤
    • US20090157650A1
    • 2009-06-18
    • US11957833
    • 2007-12-17
    • Richard ChowPhilippe J.P. GolleJessica N. Staddon
    • Richard ChowPhilippe J.P. GolleJessica N. Staddon
    • G06F17/30
    • G06F17/30893
    • One embodiment of the present invention provides a system that facilitates filtering outbound content via inference detection. During operation, the system identifies content sent to a first address and extracts keywords from the identified content. The system then issues queries based on these keywords and extracts expected-content keywords from the hits returned in response to the queries. The system then searches the outbound content for occurrences of the expected-content keywords and produces a result which allows a user to determine whether the outbound content is proper. In a further embodiment, the system extracts keywords from a piece of outbound content, and issues queries based on these keywords. The system then extracts keywords from the hits, and present at least one keyword to a user, thereby allowing the user to determine whether the outbound content is proper.
    • 本发明的一个实施例提供了一种有助于通过推理检测来过滤出站内容的系统。 在操作期间,系统识别发送到第一地址的内容,并从所识别的内容中提取关键字。 然后,系统基于这些关键字发出查询,并从响应于查询返回的命中中提取预期内容关键字。 然后,系统搜索出站内容以发现预期内容关键字,并产生允许用户确定出站内容是否正确的结果。 在另一实施例中,系统从一条出站内容中提取关键字,并且基于这些关键字发出查询。 然后,该系统从点击中提取关键字,并向用户呈现至少一个关键字,从而允许用户确定出站内容是否正确。
    • 9. 发明申请
    • INBOUND CONTENT FILTERING VIA AUTOMATED INFERENCE DETECTION
    • 通过自动检测的内部内容过滤
    • US20090150365A1
    • 2009-06-11
    • US11951198
    • 2007-12-05
    • Richard ChowPhilippe J.P. GolleJessica N. Staddon
    • Richard ChowPhilippe J.P. GolleJessica N. Staddon
    • G06F17/30
    • G06F17/30867G06Q10/107Y10S707/99931Y10S707/99933Y10S707/99934
    • A system is provided to detect email spam. During operation, the system receives an email, extracts a set of keywords from the email body, and constructs a first search query based a keyword extracted from the email body. The system further constructs a second search query based on the keyword in the first query and one additional word which pertains to a known spam word or to the subject of the email. Next, the system receives a first number of hits and a second number of hits in response to the first and second search queries, respectively. The system then determines whether the email is spam based on the first number and the second number. The system can also perform Website filtering using inference detection which is based on search results received in response to search queries formulated with keywords extracted from Websites.
    • 提供了一个系统来检测电子邮件垃圾邮件。 在操作期间,系统接收电子邮件,从电子邮件正文中提取一组关键字,并根据从电子邮件正文中提取的关键字构建第一个搜索查询。 该系统还基于第一查询中的关键字和与已知垃圾邮件词或者电子邮件主题相关的一个附加词来构建第二搜索查询。 接下来,系统分别响应于第一和第二搜索查询接收第一数量的命中和第二数量的命中。 系统然后基于第一个数字和第二个数字确定该电子邮件是否为垃圾邮件。 该系统还可以使用推理检测来执行网站过滤,这是基于根据从网站提取的关键词制定的搜索查询而收到的搜索结果。