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    • 12. 发明申请
    • CrowdChunk System, Method, and Computer Program Product for Searching Summaries of Online Reviews of Products
    • CrowdChunk系统,方法和计算机程序产品,用于搜索产品在线评论摘要
    • US20140188665A1
    • 2014-07-03
    • US14058263
    • 2013-10-20
    • Douglas Dane BakerBrian FernandesPaulo Malvar Fernandez
    • Douglas Dane BakerBrian FernandesPaulo Malvar Fernandez
    • G06Q30/06
    • G06Q30/0625
    • System, method, and computer program product for researching reviews written online to assess the performance and functionality of digital media consumer products bought online or not (e.g. eBooks, movies, TV shows, music, DVD's, etc.). The system extracts reviews from multiple online sources comprising: online “stores”, professional articles, blogs, online magazines, websites, etc.; and, utilizes sentiment analysis algorithms and supervised machine learning analysis to present more informative summaries for each product's reviews, comprising: a sentence that encapsulates a sentiment held by many users; the most positive and negative comments; and a list of features with average scores (e.g. performance, price, etc.). Additionally, the user may view a separate review detail page per product that provides further summaries, such as a short list of other products that the same reviewer gave a very positive review for the features. The user is then able to purchase the product via a link.
    • 系统,方法和计算机程序产品,用于研究在线评估在线购买或不在线购买的数字媒体消费产品的性能和功能(例如电子书,电影,电视节目,音乐,DVD等)。 该系统从多个在线来源提取评论,包括:在线“商店”,专业文章,博客,在线杂志,网站等; 并利用情感分析算法和监督机器学习分析,为每个产品的评论提供更多的内容丰富的摘要,包括:一个封闭许多用户持有的情绪的句子; 最积极和消极的意见; 以及具有平均分数(例如性能,价格等)的功能列表。 此外,用户可以查看每个产品的单独的评论详细信息页面,该页面提供更多的摘要,例如同一评审者对功能进行非常积极的评价的其他产品的简短列表。 然后用户可以通过链接购买产品。
    • 13. 发明申请
    • METHOD AND APPARATUS FOR LOAD TESTING ONLINE SERVER SYSTEMS
    • 用于负载测试在线服务器系统的方法和设备
    • US20120311387A1
    • 2012-12-06
    • US13153271
    • 2011-06-03
    • Sreelata SanthoshMark VadenBrian Fernandes
    • Sreelata SanthoshMark VadenBrian Fernandes
    • G06F11/00
    • G06F11/3433G06F11/3414
    • A method includes capturing data that is representative of actions performed by each of a plurality of human user operated clients as they interact with an online software application, loading at least one or more portions of the captured data into one or more automated simulation clients, and using the one or more automated simulation clients to perform load testing of an online server system. A system includes a data capturing stage, one or more automated simulation clients, and a configuration stage. A computer readable storage medium stores one or more computer programs that will cause a processor based system to execute steps including receiving data that was captured during a running of an online software application and that is representative of actions performed by each of a plurality of human user operated clients as they interacted with the online software application, and loading at least one or more portions of the data into one or more automated simulation clients that are configured to perform load testing of an online server system.
    • 一种方法包括捕获表示由多个人类用户操作的客户端中的每一个在与在线软件应用程序交互时执行的动作的数据,将捕获的数据的至少一个或多个部分加载到一个或多个自动化仿真客户机中,以及 使用一个或多个自动化模拟客户端来执行在线服务器系统的负载测试。 系统包括数据捕获阶段,一个或多个自动仿真客户端和配置阶段。 计算机可读存储介质存储一个或多个计算机程序,其将使基于处理器的系统执行包括接收在线软件应用程序运行期间捕获的数据的步骤,并且其代表由多个人类用户中的每一个执行的动作 它们与在线软件应用程序进行交互,并将至少一个或多个数据部分加载到被配置为执行在线服务器系统的负载测试的一个或多个自动仿真客户机中。
    • 15. 发明申请
    • RESOURCE MANAGEMENT OF SERVER HOSTS IN ONLINE GAME ENVIRONMENT
    • 在线游戏环境中的服务器主机资源管理
    • US20120102185A1
    • 2012-04-26
    • US12908740
    • 2010-10-20
    • Brian Fernandes
    • Brian Fernandes
    • G06F15/16
    • A63F13/358A63F2300/534A63F2300/535G06F9/5083G06F2209/5022H04L67/38
    • Managing resources of server hosts in an online game environment, including: monitoring metrics data of the online game environment including configurable thresholds and rules defined for a game title; processing and analyzing the metrics data; determining whether the metrics data indicates an over or under capacity of the server hosts in the online game environment; sending a first request to locate, deploy, connect, and register additional game servers to the online game environment to support increasing load, when the metrics data indicates the under capacity of the server hosts; and sending a second request to isolate, remove, disconnect, and un-register surplus game servers from the online game environment to make them available to support the player load in other game titles, when the metrics data indicates the over capacity of the server hosts. Keywords include resource management, online gaming, and server architecture.
    • 管理在线游戏环境中的服务器主机的资源,包括:监视在线游戏环境的指标数据,包括为游戏标题定义的可配置阈值和规则; 处理和分析指标数据; 确定所述度量数据是否指示所述在线游戏环境中的所述服务器主机的过度或过低的容量; 当度量数据指示服务器主机的容量不足时,发送第一请求以定位,部署,连接和注册额外的游戏服务器到在线游戏环境以支持增加的负载; 以及当所述度量数据指示所述服务器主机的容量过大时,发送第二请求以将剩余游戏服务器与所述在线游戏环境隔离,去除,断开和取消注册,以使其可用于支持所述玩家加载其他游戏标题 。 关键词包括资源管理,在线游戏和服务器架构。
    • 17. 发明申请
    • CrowdChunk System, Method and Computer Program Product for Searching Summaries of Mobile Apps Reviews
    • CrowdChunk系统,方法和计算机程序产品,用于搜索移动应用程序评论摘要
    • US20140188897A1
    • 2014-07-03
    • US13732880
    • 2013-01-02
    • Douglas Dane BakerBrian FernandesPaulo Malvar Fernandez
    • Douglas Dane BakerBrian FernandesPaulo Malvar Fernandez
    • G06F17/30
    • G06F17/3053G06Q30/0623G06Q30/0631Y10S707/944
    • System, method, and computer program product (e.g. mobile App) and/or web-based service to enable users to research reviews written online to assess the performance and functionality of mobile applications. The system extracts reviews from multiple online sources comprising: mobile Apps “stores”, blogs, online magazines, websites, etc.; and, utilizes sentiment analysis algorithms and supervised machine learning analysis to present more informative summaries for each App's reviews. Summaries may comprise: a sentence that encapsulates a sentiment held by many users; the most positive and negative comments; and a list of features with average scores (e.g. graphics, fun, easy to use, etc.). Additionally, the user may view a separate review detail page per App that provides further summaries, such as a short list of other Apps that the same reviewer gave a very positive review for the features. The user is then able to purchase and download the App via a link.
    • 系统,方法和计算机程序产品(例如移动应用程序)和/或基于Web的服务,以使用户能够研究在线写入的评估评估移动应用程序的性能和功能。 该系统从多个在线来源提取评论,包括:移动应用程序“商店”,博客,在线杂志,网站等; 并利用情感分析算法和监督机器学习分析为每个应用程序的评论提供更多的内容丰富的摘要。 摘要可能包括:一个封闭许多用户持有的情绪的句子; 最积极和消极的意见; 以及具有平均分数的功能列表(例如图形,乐趣,易于使用等)。 此外,用户可以查看每个应用程序的单独的评论详细信息页面,其中提供了进一步的摘要,例如同一评审者对功能进行了非常积极的评价的其他应用程序的简短列表。 然后,用户可以通过链接购买和下载App。