会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Response completion in social media
    • 社交媒体回应完成
    • US09380009B2
    • 2016-06-28
    • US13547930
    • 2012-07-12
    • Sujith RaviBo Pang
    • Sujith RaviBo Pang
    • G06F17/27H04L12/58G06F17/28
    • H04L51/02G06F17/276G06F17/28H04L51/04
    • Embodiments are directed towards providing word-by-word message completion for an incomplete response message, wherein the response message is composed in response to a received stimulus message. The message completion is based on a Response Completion Model (RCM) that may model both the language used in the incomplete response message and the contextual information in the received stimulus message. The RCM may be determined based on conversational stimulus-response data including stimulus-response message pairs. The RCM may be a mixture model and include a generic response language model based on an N-gram model, a Stimulus Model based on a Selection Model or a Topic. Model, and a mixture parameter. In some embodiments, at least one candidate next word for the incomplete response message is determined based on the RCM. The at least one candidate next word may be selected and included in the incomplete response message. A complete response message may be generated and provided to a user.
    • 实施例旨在为不完整的响应消息提供逐字消息完成,其中响应于所接收的刺激消息来组成响应消息。 消息完成基于响应完成模型(RCM),其可以对不完整响应消息中使用的语言和接收到的刺激消息中的上下文信息进行建模。 RCM可以基于包括刺激 - 响应消息对在内的会话刺激 - 响应数据来确定。 RCM可以是混合模型,并且包括基于N-gram模型的通用响应语言模型,基于选择模型或主题的激励模型。 模型和混合参数。 在一些实施例中,基于RCM确定不完整响应消息的至少一个候选下一个字。 可以选择并包括在不完整的响应消息中的至少一个候选下一个字。 可以生成完整的响应消息并将其提供给用户。
    • 4. 发明申请
    • RESPONSE COMPLETION IN SOCIAL MEDIA
    • 社会媒体的反应完成
    • US20140019117A1
    • 2014-01-16
    • US13547930
    • 2012-07-12
    • Sujith RaviBo Pang
    • Sujith RaviBo Pang
    • G06F17/27
    • H04L51/02G06F17/276G06F17/28H04L51/04
    • Embodiments are directed towards providing word-by-word message completion for an incomplete response message, wherein the response message is composed in response to a received stimulus message. The message completion is based on a Response Completion Model (RCM) that may model both the language used in the incomplete response message and the contextual information in the received stimulus message. The RCM may be determined based on conversational stimulus-response data including stimulus-response message pairs. The RCM may be a mixture model and include a generic response language model based on an N-gram model, a Stimulus Model based on a Selection Model or a Topic. Model, and a mixture parameter. In some embodiments, at least one candidate next word for the incomplete response message is determined based on the RCM. The at least one candidate next word may be selected and included in the incomplete response message. A complete response message may be generated and provided to a user.
    • 实施例旨在为不完整的响应消息提供逐字消息完成,其中响应于所接收的刺激消息来组成响应消息。 消息完成基于响应完成模型(RCM),其可以对不完整响应消息中使用的语言和接收到的刺激消息中的上下文信息进行建模。 RCM可以基于包括刺激 - 响应消息对在内的会话刺激 - 响应数据来确定。 RCM可以是混合模型,并且包括基于N-gram模型的通用响应语言模型,基于选择模型或主题的激励模型。 模型和混合参数。 在一些实施例中,基于RCM确定不完整响应消息的至少一个候选下一个字。 可以选择并包括在不完整的响应消息中的至少一个候选下一个字。 可以生成完整的响应消息并将其提供给用户。
    • 5. 发明申请
    • PERSONALIZED RECOMMENDATION OF USER COMMENTS
    • 个人推荐用户评论
    • US20130204833A1
    • 2013-08-08
    • US13364369
    • 2012-02-02
    • Bo PangBee-Chung ChenDeepak K. Agarwal
    • Bo PangBee-Chung ChenDeepak K. Agarwal
    • G06N5/00G06F15/16
    • G06Q30/02G06F16/335
    • Techniques are described herein for facilitating the consumption of user-generated comments by determining which comments will be of most interest to each individual user. Once the comments that will be of most interest to a particular user are determined, the user-generated comments are presented to that user in a manner that reflects that user's predicted interest. A variety of factors may be used to predict, automatically, the interest each individual user would have in each user-generated comment. For example, interest predictions for a user may be based on the user's prior rating of comments, various types of profile and/or demographic information about the user, the user's social network connections, the authors of the comments, the author of the target subject matter, the user's propensity to comment, etc.
    • 本文描述了通过确定每个单独用户最感兴趣的注释来便于消费用户生成的注释的技术。 一旦确定了对特定用户最感兴趣的评论,则以反映该用户的预期兴趣的方式向用户呈现用户生成的评论。 可以使用各种因素来自动预测每个用户在每个用户生成的评论中的兴趣。 例如,用户的兴趣预测可以基于用户对评论的先前评级,关于用户的各种类型的简档和/或人口统计信息,用户的社交网络连接,评论的作者,目标对象的作者 事情,用户的评论倾向等
    • 7. 发明授权
    • Matching items of user-generated content to entities
    • 将用户生成的内容的项目与实体相匹配
    • US08412771B2
    • 2013-04-02
    • US12909766
    • 2010-10-21
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • G06F15/16
    • G06F17/30867G06Q30/06G06Q50/01
    • A method, apparatus, and computer-readable medium are provided for matching items of user-generated content to entities is provided. Items of user-generated content, such as status updates, are gathered. For each of the items, a machine determines a degree to which the item is associated with an entity. In one aspect, items are matched to an entity by matching the content of the items to attributes of the entity. In another aspect, items are matched to an entity by predicting attributes of an author of the items and determining a distance between the predicted attributes of the author and the attributes of the entity. The distance may be a physical distance between locations of the entity and user or a contextual distance between categories for the entity and posts by the author. Items matched to the entity may be displayed on an interface concurrently with information about the entity.
    • 提供了一种用于将用户生成的内容与实体相匹配的方法,装置和计算机可读介质。 收集用户生成内容的项目,如状态更新。 对于每个项目,机器确定项目与实体相关联的程度。 在一个方面,通过将项目的内容与实体的属性相匹配来将项目与实体相匹配。 在另一方面,通过预测项目的作者的属性并确定作者的预测属性与实体的属性之间的距离来将项目与实体相匹配。 该距离可以是实体和用户的位置之间的物理距离或作者的实体和帖子的类别之间的上下文距离。 与实体匹配的项目可以与接口的实体同时显示。
    • 8. 发明申请
    • MATCHING ITEMS OF USER-GENERATED CONTENT TO ENTITIES
    • 用户生成内容与实体的匹配项目
    • US20120102104A1
    • 2012-04-26
    • US12909766
    • 2010-10-21
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • G06F15/16G06F17/30
    • G06F17/30867G06Q30/06G06Q50/01
    • A method, apparatus, and computer-readable medium are provided for matching items of user-generated content to entities is provided. Items of user-generated content, such as status updates, are gathered. For each of the items, a machine determines a degree to which the item is associated with an entity. In one aspect, items are matched to an entity by matching the content of the items to attributes of the entity. In another aspect, items are matched to an entity by predicting attributes of an author of the items and determining a distance between the predicted attributes of the author and the attributes of the entity. The distance may be a physical distance between locations of the entity and user or a contextual distance between categories for the entity and posts by the author. Items matched to the entity may be displayed on an interface concurrently with information about the entity.
    • 提供了一种用于将用户生成的内容与实体相匹配的方法,装置和计算机可读介质。 收集用户生成内容的项目,如状态更新。 对于每个项目,机器确定项目与实体相关联的程度。 在一个方面,通过将项目的内容与实体的属性相匹配来将项目与实体相匹配。 在另一方面,通过预测项目的作者的属性并确定作者的预测属性与实体的属性之间的距离来将项目与实体相匹配。 该距离可以是实体和用户的位置之间的物理距离或作者的实体和帖子的类别之间的上下文距离。 与实体匹配的项目可以与接口的实体同时显示。