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    • 5. 发明申请
    • MARKETPLACE FOR CAPTCHA DEVELOPERS
    • 人力资源开发商市场
    • US20110196722A1
    • 2011-08-11
    • US12701320
    • 2010-02-05
    • Kunal PuneraAnirban DasguptaShanmugasundaram Ravikumar
    • Kunal PuneraAnirban DasguptaShanmugasundaram Ravikumar
    • G06Q50/00G06F15/16G06F9/44G06Q10/00G06Q30/00H04L29/06
    • G06Q30/08G06Q30/0185G06Q30/02G06Q30/0208H04L63/0861
    • Techniques are described herein for providing a marketplace for CAPTCHA developers. A CAPTCHA is a type of challenge-response test that a content provider may present to users for authorizing the users to access content that is hosted by the content provider. CAPTCHA developers may propose CAPTCHAs for testing in the marketplace. A server is configured to provide instances of proposed CAPTCHAs to users along with instances of reference CAPTCHAs that have known difficulties to determine the relative difficulties of the proposed CAPTCHAs for the users. The server may determine a reward to be provided to a developer of a proposed CAPTCHA based on a difficulty that the predetermined automated systems encounter when they attempt to solve the proposed CAPTCHA and an ease with which the users solve the proposed CAPTCHA. The server may determine rewards to be provided to developers of predetermined automated systems that solve the proposed CAPTCHAs.
    • 本文描述了为CAPTCHA开发人员提供市场的技术。 CAPTCHA是内容提供者可以向用户授权以访问由内容提供商托管的内容的质询 - 响应测试类型。 CAPTCHA开发人员可以提出CAPTCHAs进行市场测试。 服务器被配置为向用户提供所提出的CAPTCH的实例以及具有参考CAPTCHA的实例,所述实例具有已知困难以确定针对用户的所提出的CAPTCH的相对困难。 服务器可以基于预定的自动化系统在尝试解决所提出的CAPTCHA时遇到的困难以及用户解决所提出的CAPTCHA的容易性,来确定将提供给拟议的CAPTCHA的开发者的奖励。 服务器可以确定要向解决所提出的CAPTCHA的预定自动化系统的开发者提供奖励。
    • 9. 发明申请
    • METHOD AND SYSTEM FOR FAST SIMILARITY COMPUTATION IN HIGH DIMENSIONAL SPACE
    • 用于在高维空间中快速相似计算的方法和系统
    • US20130031059A1
    • 2013-01-31
    • US13189696
    • 2011-07-25
    • Shanmugasundaram RavikumarAnirban DasguptaTamas Sarlos
    • Shanmugasundaram RavikumarAnirban DasguptaTamas Sarlos
    • G06F17/30
    • G06F17/30628
    • Method, system, and programs for computing similarity. Input data is first received from one or more data sources and then analyzed to obtain an input feature vector that characterizes the input data. An index is then generated based on the input feature vector and is used to archive the input data, where the value of the index is computed based on an improved Johnson-Lindenstrass transformation (FJLT) process. With the improved FJLT process, first, the sign of each feature in the input feature vector is randomly flipped to obtain a flipped vector. A Hadamard transformation is then applied to the flipped vector to obtain a transformed vector. An inner product between the transformed vector and a sparse vector is then computed to obtain a base vector, based on which the value of the index is determined.
    • 用于计算相似度的方法,系统和程序。 首先从一个或多个数据源接收输入数据,然后分析以获得表征输入数据的输入特征向量。 然后基于输入特征向量生成索引,并且用于存档输入数据,其中基于改进的约翰逊 - 林登斯特拉斯变换(FJLT)处理来计算索引的值。 随着改进的FJLT过程,首先,输入特征向量中的每个特征的符号被随机翻转以获得翻转矢量。 然后将Hadamard变换应用于翻转矢量以获得变换矢量。 然后计算变换向量和稀疏向量之间的内积,以获得基准向量,基于此确定索引的值。