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    • 3. 发明申请
    • System and method for measuring awareness of online advertising using captchas
    • 使用验证码测量在线广告意识的系统和方法
    • US20080133321A1
    • 2008-06-05
    • US11607579
    • 2006-12-01
    • David M. PennockShanmugasundaram RavikumarAndrew Tomkins
    • David M. PennockShanmugasundaram RavikumarAndrew Tomkins
    • G06Q30/00
    • G06Q30/02G06Q30/0242G06Q30/0256
    • An improved system and method for providing and using captchas for online advertising is provided. An advertisement may be received, embedded in a captcha and stored for use in online advertising. A question about the advertisement may also be stored along with a valid answer for use in verifying a user has received an impression of the advertisement. In response to a request received for sending a captcha with an embedded advertisement to a web browser operating on a client, a captcha with an embedded advertisement may be selected and sent to the web browser for display as part of a web page. Upon verifying the response to the question from the user is a valid answer, receipt of an impression of the advertisement may be recorded. Additionally, the awareness of an online advertisement may be measured for a target audience and reported to advertisers.
    • 提供了一种用于提供和使用用于在线广告的验证码的改进的系统和方法。 可以接收广告,嵌入在验证码中并存储以用于在线广告。 关于广告的问题也可以与用于验证用户已经接收到广告的印象的有效答案一起存储。 响应于向用户发送嵌入式广告的验证码的请求,可以选择具有嵌入式广告的验证码并发送到网络浏览器以作为网页的一部分进行显示。 在验证来自用户对问题的响应是有效答案时,可以记录广告的印象的接收。 此外,可以针对目标受众衡量在线广告的意识并向广告商报告。
    • 4. 发明授权
    • Methods and apparatus for predicting and selectively collecting preferences based on personality diagnosis
    • 基于人格诊断预测和选择性收集偏好的方法和装置
    • US06655963B1
    • 2003-12-02
    • US09629217
    • 2000-07-31
    • Eric J. HorvitzDavid M. Pennock
    • Eric J. HorvitzDavid M. Pennock
    • G09B1900
    • H04N21/4668G06Q30/02G06Q30/0201G06Q30/0204G06Q30/0625G06Q30/0631Y10S707/99937
    • A new recommendation technique, referred to as “personality diagnosis”, can be seen as a hybrid between memory-based and model-based collaborative filtering techniques. Using personality diagnosis, all data can be maintained throughout the processes, new data can be added incrementally, and predictions have meaningful probabilistic semantics. Each entity's reported attributes can be interpreted as a manifestation of their underlying personality type. Personality type can be encoded simply as a vector of the entity's “true” values for attributes in the database. Given an active entity's known attribute values, the probability that they have the same personality type as every other entity can be determined. Then, the probability that they will have a given value for a valueless attribute can then be determined based on the entity's personality type. The probabilistic determinations can be used to determine expected value of information.
    • 称为“个性诊断”的新推荐技术可以被看作是基于记忆的和基于模型的协同过滤技术的混合体。 使用人格诊断,可以在整个过程中维护所有数据,可以逐步添加新数据,并且预测具有有意义的概率语义。 每个实体的报告属性可以被解释为其底层个性类型的表现。 个性类型可以简单地编码为数据库中属性的实体的“true”值的向量。 给定一个活跃实体的已知属性值,可以确定它们具有与其他实体相同的个性类型的概率。 然后,可以根据实体的个性类型来确定它们对于无价值属性具有给定值的概率。 概率确定可用于确定信息的预期值。
    • 7. 发明申请
    • SAFE WEB BASED INTERACTIONS
    • 安全网络互动
    • US20090070873A1
    • 2009-03-12
    • US11853447
    • 2007-09-11
    • R. Preston McAfeeDavid M. Pennock
    • R. Preston McAfeeDavid M. Pennock
    • G06F21/00G06F15/16
    • G06F21/56G06F21/568G06F2221/2115
    • A system is described for providing safe web based interactions. The system may include a memory, an interface, and a processor. The memory may store a request and a web page. The interface may be operative to communicate with a user and a third party server. The processor may be operatively connected to the memory and the interface and may receive a request from the user for a web page provided by the third party server. The processor may retrieve the web page and determine if malicious data is associated with the web page. If malicious data is determined to be associated with the web page the processor may disable the malicious data. The processor may modify the web page so that subsequent interactions with the web page are redirected to the processor, through the interface. The processor may provide the web page to the user, via the interface.
    • 描述了一种用于提供安全的基于Web的交互的系统。 该系统可以包括存储器,接口和处理器。 存储器可以存储请求和网页。 接口可以与用户和第三方服务器通信。 处理器可以可操作地连接到存储器和接口,并且可以从用户接收由第三方服务器提供的网页的请求。 处理器可以检索网页并确定恶意数据是否与网页相关联。 如果确定恶意数据与网页相关联,则处理器可以禁用恶意数据。 处理器可以修改网页,使得通过该界面将与网页的后续交互重定向到处理器。 处理器可以经由接口向用户提供网页。
    • 8. 发明授权
    • Methods and apparatus for predicting and selectively collecting preferences based on personality diagnosis
    • 基于人格诊断预测和选择性收集偏好的方法和装置
    • US07457768B2
    • 2008-11-25
    • US10686198
    • 2003-10-15
    • Eric J. HorvitzDavid M. Pennock
    • Eric J. HorvitzDavid M. Pennock
    • G06Q30/00G06F17/30G07F7/00G07G1/14
    • H04N21/4668G06Q30/02G06Q30/0201G06Q30/0204G06Q30/0625G06Q30/0631Y10S707/99937
    • A new recommendation technique, referred to as “personality diagnosis”, that can be seen as a hybrid between memory-based and model-based collaborative filtering techniques is described. Using personality diagnosis, all data may be maintained throughout the process, new data can be added incrementally, and predictions have meaningful probabilistic semantics. Given an active entity's known attribute values, the probability that they have a same personality type as every other entity may be determined. Then, the probability that they will have a given value for a valueless attribute may be determined based on the entity's personality type. The probabilistic determination may be used to determine expected value of information that could be used to favorably order queries for attribute values, thereby mollifying what could otherwise be a tedious and frustrating process and/or to determine which entries of a database if removed would have a minimal effect of the accuracy of recommendations.
    • 描述了一种被称为“个性诊断”的新推荐技术,可被视为基于内存和基于模型的协同过滤技术之间的混合。 使用人格诊断,整个过程中可以维护所有数据,可以增量地添加新的数据,并且预测具有有意义的概率语义。 给定一个活跃实体的已知属性值,可以确定它们与每个其他实体具有相同个性类型的概率。 然后,可以基于实体的个性类型来确定它们对于无价值属性具有给定值的概率。 概率确定可以用于确定可以用于有利地排序查询属性值的信息的期望值,从而软化否则可能是繁琐而令人沮丧的过程,和/或确定数据库的哪些条目如果被移除将具有 效果最小的建议的准确性。
    • 9. 发明授权
    • Inferring hierarchical descriptions of a set of documents
    • 推荐一组文档的层次描述
    • US07165024B2
    • 2007-01-16
    • US10209594
    • 2002-07-31
    • Eric J. GloverStephen R. LawrenceDavid M. Pennock
    • Eric J. GloverStephen R. LawrenceDavid M. Pennock
    • G06F17/27
    • G06F17/30882G06F17/3071G06F17/30864
    • A method automatically determines groups of words or phrases that are descriptive names of a small set of documents, as well as infers concepts in the small set of documents that are more general and more specific than the descriptive names, without any prior knowledge of the hierarchy or the concepts, in a language independent manner. The descriptive names and the concepts may not even be explicitly contained in the documents. The primary application of the invention is for searching of the World Wide Web, but the invention is not limited solely to use with the World Wide Web and may be applied to any set of documents. Classes of features are identified in order to promote understanding of a set of documents. Preferably, there are three classes of features. “Self” features or terms describe the cluster as a whole. “Parent” features or terms describe more general concepts. “Child” features or terms describe specializations of the cluster. The self features can be used as a recommended name for a cluster, while parents and children can be used to place the clusters in the space of a larger collection. Parent features suggest a more general concept, while children features suggest concepts that describe a specialization of the self feature(s). Automatic discovery of parent, self and child features is useful for several purposes including automatic labeling of web directories and improving information retrieval.
    • 一种方法自动确定作为一小部分文档的描述性名称的单词或短语组,以及在较小的文档集中的概念,比描述性名称更为通用且更具体,而无需层次结构的任何先验知识 或概念,以语言独立的方式。 描述性名称和概念甚至可能不被明确地包含在文档中。 本发明的主要应用是用于搜索万维网,但是本发明不仅限于与万维网一起使用并且可以应用于任何文档集合。 识别功能的类别,以促进对一组文档的理解。 优选地,存在三类特征。 “自我”特征或术语整体描述了集群。 “父母”功能或术语描述更一般的概念。 “儿童”功能或术语描述了集群的专业化。 自我特征可以用作群集的推荐名称,而父母和孩子可以用于将群集放置在较大集合的空间中。 父功能提出了更一般的概念,而儿童功能则提出了描述自我特征专业化的概念。 父,子和子功能的自动发现对于多个目的是有用的,包括自动标记Web目录和改进信息检索。