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    • 3. 发明授权
    • System for generating digital event material and event-based updating of user profiles to create new communities
    • 用于生成数字事件材料和基于事件的用户配置文件更新以创建新社区的系统
    • US09262468B1
    • 2016-02-16
    • US14480923
    • 2014-09-09
    • Invent.ly, LLC
    • Stephen J. Brown
    • G06F17/00G06N5/00G06F17/30
    • G06F17/30377G06F17/30345G06Q30/02H04L67/306
    • System and method for event-based updating of user profiles UP of users U in a social network and formation of new communities based on a resonance condition. A database of user profiles UP with profile domains D based on self-reports as well as observed network behaviors is deployed. The user profiles UP of users U in groups G attending an event are re-compiled by an event-based updating module based on event responses ER. Further, the event-based updating module identifies a profile change ΔP* in at least one of the profile domains D of user profiles UP, and the new community is formed by the event-based updating module from a subgroup SG whose profile change ΔP* indicates a mutual resonance or consensus in their event responses ER.
    • 用于基于共振条件的社区网络中的用户U的增量和新社区的形成的基于事件的更新的系统和方法。 部署了基于自我报告以及观察到的网络行为的配置文件域D的用户配置文件UP的数据库。 基于事件响应ER的基于事件的更新模块重新编译用户参与事件的组G中的用户U的UP。 此外,基于事件的更新模块在用户简档UP的简档域D中的至少一个中识别简档变化&Dgr; P *,并且新的社区由基于事件的更新模块从其分组变化的子组SG形成 &Dgr; P *表示事件响应ER中的相互共鸣或共识。
    • 4. 发明申请
    • RECOMMENDATION ENGINE WITH PROFILE ANALYSIS
    • 推荐引擎与配置文件分析
    • US20150248721A1
    • 2015-09-03
    • US14280547
    • 2014-05-16
    • Stephen J. Brown
    • Stephen J. Brown
    • G06Q30/06
    • G06Q30/0631G06Q50/01H04N5/44543H04N21/4532
    • A computer implemented system and method includes a recommendation engine that provides accurate recommendations based on an accurate analysis of the tastes and preferences of a user. The recommendation engine takes into consideration the information corresponding to the tastes and preferences of the users using information gathered from social networking profiles of the user as well as the reviews previously provided by the user.The recommendation engine collaborates this information with the review related information obtained from the reviewers in order to ascertain the recommendations that would match the preferences and tastes of the user.
    • 计算机实现的系统和方法包括推荐引擎,其基于对用户的品味和偏好的准确分析来提供准确的建议。 推荐引擎使用从用户的社交网络配置文件收集的信息以及以前由用户提供的评论来考虑与用户的口味和喜好相对应的信息。 推荐引擎将这些信息与从评论者获得的审查相关信息进行协作,以确定与用户的偏好和品味相匹配的建议。
    • 6. 发明申请
    • Method and Apparatus for Predicting Subject Responses to a Proposition based on Quantum Representation of the Subject's Internal State and of the Proposition
    • 基于主体内部国家和命题的量子表示方式来预测主体对命题的响应的方法和装置
    • US20140164313A1
    • 2014-06-12
    • US14182281
    • 2014-02-17
    • Invent.ly LLC
    • Marek AlbosztaStephen J. Brown
    • G06N7/00G06N99/00
    • G06N7/005G06N5/04G06N7/04G06N20/00
    • The present invention is an apparatus and method for predicting the reactions of a subject, e.g., a human being to a proposition posed to the subject during a subject-object or a subject-subject interaction that takes place online or in real life. The quantum mechanical model adopted herein assigns a first subject qubit |iss1> to a primary internal state of the subject with eigenvalues corresponding to measurable indications a, b of the primary internal state. A response qubit |rsp> that can yield at least two mutually exclusive responses corresponding to two eigenvalues is also assigned to the subject. A proposition matrix PR in the form of a linear operator designed to act on response qubit |rsp> is assigned to enable a quantum mechanical derivation of response probabilities and expectation values for response to the same underlying proposition in various contexts, including incompatible contexts in the Heisenberg sense.
    • 本发明是一种装置和方法,用于预测受试者的反应,例如人在对象或在现实生活中发生的受试对象或受试者 - 对象相互作用期间对主体的建议。 本文采用的量子力学模型将第一对象量子位| iss1>分配给对象的主要内部状态,其特征值对应于主要内部状态的可测量指示a,b。 可以产生对应于两个特征值的至少两个相互排斥的响应的响应量子位| rsp>也被分配给主题。 被设计为作用于响应量子位| rsp>的线性算子形式的命题矩阵PR被分配以实现响应概率和期望值的量子力学推导,以响应各种上下文中的相同的基本命题,包括在不同上下文中的不相容的上下文 海森堡感