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    • 2. 发明申请
    • Storage abuse prevention
    • 存储滥用预防
    • US20060195604A1
    • 2006-08-31
    • US11042245
    • 2005-01-25
    • Joshua GoodmanCarl KadieChristopher Meek
    • Joshua GoodmanCarl KadieChristopher Meek
    • G06F15/173G06F15/16
    • G06F21/606G06F21/316G06F21/552G06F2221/2135H04L51/00H04L63/1408
    • The subject invention provides a unique system and method that facilitates mitigation of storage abuse in connection with free storage provided by messaging service providers such as email, instant messaging, chat, blogging, and/or web hosting service providers. The system and method involve measuring the outbound volume of stored data. When the volume satisfies a threshold, a cost can be imposed on the account to mitigate the suspicious or abusive activity. Other factors can be considered as well that can modify the cost imposed on the cost such as by increasing the cost. Machine learning can be employed as well to predict a level or degree of suspicion. The various factors or the text of the messages can be used as input for the machine learning system.
    • 本发明提供了一种独特的系统和方法,其有助于缓解由诸如电子邮件,即时消息,聊天,博客和/或网络托管服务提供商之类的消息传递服务提供商提供的免费存储的存储滥用。 系统和方法涉及测量存储数据的出站量。 当卷满足阈值时,可以对该帐户施加成本以减轻可疑或滥用活动。 也可以考虑其他因素,从而可以通过增加成本来改变对成本的成本。 也可以使用机器学习来预测一定程度的怀疑。 消息的各种因素或文本可以用作机器学习系统的输入。
    • 3. 发明申请
    • Image and other analysis for contextual ads
    • 内容相关广告的图片和其他分析
    • US20060179453A1
    • 2006-08-10
    • US11052394
    • 2005-02-07
    • Carl KadieJoshua GoodmanChristopher Meek
    • Carl KadieJoshua GoodmanChristopher Meek
    • H04N7/10G06F13/00H04N7/025G06F3/00
    • H04N7/163G06Q30/02H04N21/4331H04N21/44008H04N21/44016H04N21/84H04N21/8405
    • The subject invention provides a unique system and method that facilitates providing contextual advertisements based on one or more identified terms extracted from a non-text object such as an image, video, and/or audio object. Terms can also be identified and extracted from metadata associated with or other data derived from text objects such as email messages and attached text documents. One or more recognition techniques can be employed to identify data found in the non-text object (including the metadata or any other data derived therefrom) and data found in the metadata associated with the text object. Once the identified terms are analyzed, an appropriate contextual advertisement can be presented to the user. If the content of the non-text or text object is deemed of a negative nature, no contextual advertisement is provided.
    • 本发明提供了一种独特的系统和方法,其有助于基于从诸如图像,视频和/或音频对象的非文本对象提取的一个或多个所标识的项来提供上下文广告。 还可以从与文本对象(例如电子邮件消息和附加文本文档)导出的其他数据相关联的元数据中识别和提取术语。 可以使用一种或多种识别技术来识别在非文本对象(包括元数据或从其导出的任何其他数据)中发现的数据以及与文本对象相关联的元数据中找到的数据。 一旦分析了所识别的术语,就可以向用户呈现适当的上下文广告。 如果非文本或文本对象的内容被认为是消极性质,则不提供上下文广告。
    • 5. 发明申请
    • NOTIFICATION PLATFORM ARCHITECTURE
    • 通知平台架构
    • US20070011314A1
    • 2007-01-11
    • US11469058
    • 2006-08-31
    • Eric HorvitzDavid HovelAndrew JacobsCarl Kadie
    • Eric HorvitzDavid HovelAndrew JacobsCarl Kadie
    • G06F15/173
    • G06Q10/107G06F17/18
    • An architecture for a notification platform is disclosed. In one embodiment, the architecture includes a user mechanism, one or more notification sources and sinks, and a notification manager. The user mechanism stores information regarding notification parameters of a user, such as the user's default notification preferences, and may also contain, access, and/or infer contextual information. Each notification source generates notifications intended for the user, while each notification sink can provide the notifications to the user. Notification sources and sinks provide information via standardized notification schema. The notification manager is designed to appropriately convey the notifications generated by the sources to the sinks, based on information provided by the user mechanism, and by the sources and sinks. As disclosed, the architecture is applicable to entities other users as well.
    • 公开了一种通知平台架构。 在一个实施例中,该架构包括用户机制,一个或多个通知源和汇点以及通知管理器。 用户机构存储关于用户的通知参数的信息,诸如用户的默认通知偏好,并且还可以包含,访问和/或推断上下文信息。 每个通知源产生针对用户的通知,而每个通知接收器可以向用户提供通知。 通知源和汇通过标准化通知模式提供信息。 通知管理器被设计为基于由用户机制提供的信息以及源和汇来适当地传送由源产生的通知给汇。 如所公开的,该架构也适用于其他用户的实体。
    • 7. 发明申请
    • Methods for and applications of learning and inferring the periods of time until people are available or unavailable for different forms of communication, collaboration, and information access
    • 学习方法和应用,并推断出人们可用或不可用于不同形式的沟通,协作和信息访问的时间
    • US20050132006A1
    • 2005-06-16
    • US11047527
    • 2005-01-31
    • Eric HorvitzCarl KadieAndrew Jacobs
    • Eric HorvitzCarl KadieAndrew Jacobs
    • G06Q10/10G06F12/14
    • G06Q10/109
    • A system and method are provided to learn and infer the time until a user will be available for communications, collaboration, or information access, given evidence about such observations as time of day, calendar, location, presence, and activity. The methods can be harnessed to coordinate communications between parties via particular modalities of interaction. The system includes a user state identifier that determines a user's state from background knowledge, the flow of time, or one or more context information sources. A data log can be employed to store information about user state changes and observational evidence to accumulate statistics and build inferential models of the availability and unavailability of users for different kinds of communication, collaboration, and information access. A forecaster is constructed from the accumulated statistics and/or learned models to enable a determination of a user's likely return, or, more generally, the probability distribution over a user's likely return to particular states of availability. The forecaster can be employed to cache information for offline access, drive displays of availability and unavailability, to send messages that include availability forecasts, and to automatically perform scheduling or rescheduling of communications.
    • 提供了一种系统和方法,用于了解和推断直到用户可用于通信,协作或信息访问的时间,给出有关诸如时间,日历,位置,存在和活动之类的观察的证据。 可以利用这些方法通过特定的交互方式协调各方之间的通信。 该系统包括从背景知识,时间流或者一个或多个上下文信息源确定用户状态的用户状态标识符。 可以使用数据日志来存储关于用户状态变化和观察证据的信息,以累积统计信息,并构建用于不同种类的通信,协作和信息访问的可用性和不可用性的推理模型。 预测者是由累积的统计学和/或学习模型构成的,以便确定用户的可能回报,或者更一般地说,用户可能返回特定可用状态的概率分布。 可以使用预测器缓存信息以进行离线访问,驱动显示可用性和不可用性,以发送包括可用性预测的消息,并自动执行调度或重新安排通信。
    • 9. 发明申请
    • Viral advertising for interactive services
    • 用于互动服务的病毒广告
    • US20060218577A1
    • 2006-09-28
    • US11078555
    • 2005-03-11
    • Joshua GoodmanChristopher MeekCarl Kadie
    • Joshua GoodmanChristopher MeekCarl Kadie
    • H04N7/025H04N7/10
    • H04N7/173G06Q30/02H04N21/2547H04N21/4143H04N21/4788H04N21/812
    • The subject invention provides a unique system and method that facilitates propagating selected advertisements among users of interactive services. Interactive service users can be targeted for specific types of advertisements for particular products or services. When a user selects at least one advertisement for more detailed viewing, the advertisement can be distributed to or shared with one or more other users. These other users may be part of the original user's social network. Thus user-selected advertisements can be shared among users who are familiar with each other's current or future interests. In some cases, user-selected advertisements can replace system-selected advertisements. As a result, advertisers can benefit from increased exposure of and interest in their advertisements.
    • 本发明提供了一种有助于在交互式服务的用户之间传播所选广告的独特系统和方法。 互动服务用户可以针对特定产品或服务的特定类型的广告。 当用户选择至少一个广告以进行更详细的观看时,该广告可以被分发给一个或多个其他用户或与一个或多个其他用户共享。 这些其他用户可能是原始用户社交网络的一部分。 因此,用户选择的广告可以在熟悉彼此的当前或未来兴趣的用户之间共享。 在某些情况下,用户选择的广告可以替代系统选择的广告。 因此,广告商可以从广告的曝光和兴趣中获益。