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. 发明申请
    • POPULARITY PREDICTION OF USER-GENERATED CONTENT
    • 用户生成内容的人气预测
    • US20110302103A1
    • 2011-12-08
    • US12795684
    • 2010-06-08
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06Q99/00G06Q50/00
    • G06Q10/10G06Q30/0282
    • A method, system, and computer program product for popularity prediction of user-generated content are provided. The method includes measuring the novelty of a user-generated content and predicting the popularity of the user-generated content based on the measured novelty. Predicting the popularity of the user-generated content includes: extracting basic features of the user-generated content; measuring novelty features of the user-generated content; and predicting the popularity based on the basic features and novelty features. Measuring the novelty of a user-generated content includes one or more of: measuring a relative novelty of the user-generated content with respect to the contribution history of the same user in a given time period; measuring a relative novelty of the user-generated content with respect to user-generated content of other users in a given time period; and measuring a relative novelty of the user-generated content with respect to the references by other users to the user-generated content.
    • 提供了一种用于用户生成内容的普及预测的方法,系统和计算机程序产品。 该方法包括测量用户生成的内容的新颖性,并且基于所测量的新颖性来预测用户生成的内容的普及度。 预测用户生成内容的普及性包括:提取用户生成的内容的基本特征; 测量用户生成内容的新奇特征; 并根据基本特征和新颖特征预测人气。 测量用户产生的内容的新颖性包括以下一个或多个:在给定时间段内相对于同一用户的贡献历史测量用户生成的内容的相对新颖性; 测量在给定时间段内用户生成的内容相对于其他用户的用户生成内容的相对新颖性; 并且测量用户生成的内容相对于其他用户对用户生成的内容的引用的相对新颖性。
    • 2. 发明授权
    • Method and system for using social bookmarks
    • 使用社交书签的方法和系统
    • US08266157B2
    • 2012-09-11
    • US12550376
    • 2009-08-30
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F17/30
    • G06F17/30
    • A method and system for using social bookmarks wherein a social bookmark is a triplet of the entities of user, document, and tag. The method including: collecting multiple bookmarks; representing the bookmarks as a three-dimensional space or matrix of the number of times a user u, used tag t to bookmark document d; measuring the similarity of two entities of the same type; and using the similarity to weight bookmarks or entities. The weightings may be used to provide a measure of a usefulness of a bookmark for describing a document for retrieval purposes. Two-dimensions of the bookmark space may also be used to predict the third-dimension.
    • 一种用于使用社交书签的方法和系统,其中社交书签是用户,文档和标签的实体的三元组。 该方法包括:收集多个书签; 将书签代表用户u的三维空间或矩阵,使用标签t来书签文件d; 测量相同类型的两个实体的相似度; 并使用相似度加权书签或实体。 权重可用于提供用于描述用于检索目的的文档的书签的有用性的量度。 书签空间的二维还可以用于预测第三维。
    • 3. 发明授权
    • Method and system for maintaining profiles of information channels
    • 维护信息通道的方法和系统
    • US07970739B2
    • 2011-06-28
    • US12111972
    • 2008-04-30
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F7/00
    • G06F17/30867H04L69/14
    • A method and system are provided for maintaining profiles of information channels available on the Web, wherein the information channels are accessed via pull-only protocols. The method includes monitoring one or more channels by a channel pull action at a monitoring rate, wherein the monitoring rate is determined for the one or more channels based on the number of update events in a previous time period. The method may optimally include filtering the update events in the time period by a novelty measure, wherein the filtering disregards events that do not include significant novel information. The monitoring rate is adapted based on reinforcement learning applying iterative learning rules over time.
    • 提供了一种用于维护在Web上可用的信息信道的简档的方法和系统,其中通过仅拉协议访问信息信道。 该方法包括以监视速率通过信道拉动操作监视一个或多个信道,其中基于前一时间段内的更新事件的数量来确定针对一个或多个信道的监视速率。 该方法可以最佳地包括通过新颖度量来对该时间段内的更新事件进行过滤,其中过滤忽略不包括重要新颖信息的事件。 基于强化学习,随着时间的推移应用迭代学习规则,对监测率进行了调整。
    • 4. 发明申请
    • Method and System for Maintaining Profiles of Information Channels
    • 维护信息渠道的方法和系统
    • US20110219056A1
    • 2011-09-08
    • US13105924
    • 2011-05-12
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F15/16G06F15/18
    • G06F17/30867H04L69/14
    • A method and system are provided for maintaining profiles of information channels available on the Web, wherein the information channels are accessed via pull-only protocols. The method includes monitoring one or more channels by a channel pull action at a monitoring rate, wherein the monitoring rate is determined for the one or more channels based on the number of update events in a previous time period. The method may optimally include filtering the update events in the time period by a novelty measure, wherein the filtering disregards events that do not include significant novel information. The monitoring rate is adapted based on reinforcement learning applying iterative learning rules over time.
    • 提供了一种用于维护在Web上可用的信息信道的简档的方法和系统,其中通过仅拉协议访问信息信道。 该方法包括以监视速率通过信道拉动操作监视一个或多个信道,其中基于前一时间段内的更新事件的数量来确定针对一个或多个信道的监视速率。 该方法可以最佳地包括通过新颖度量来对该时间段内的更新事件进行过滤,其中过滤忽略不包括重要新颖信息的事件。 基于强化学习,随着时间的推移应用迭代学习规则,对监测率进行了调整。
    • 5. 发明授权
    • Method and system for maintaining profiles of information channels
    • 维护信息通道的方法和系统
    • US08176011B2
    • 2012-05-08
    • US13105924
    • 2011-05-12
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F7/00
    • G06F17/30867H04L69/14
    • A method and system are provided for maintaining profiles of information channels available on the Web, wherein the information channels are accessed via pull-only protocols. The method includes monitoring one or more channels by a channel pull action at a monitoring rate, wherein the monitoring rate is determined for the one or more channels based on the number of update events in a previous time period. The method may optimally include filtering the update events in the time period by a novelty measure, wherein the filtering disregards events that do not include significant novel information. The monitoring rate is adapted based on reinforcement learning applying iterative learning rules over time.
    • 提供了一种用于维护在Web上可用的信息信道的简档的方法和系统,其中通过仅拉协议访问信息信道。 该方法包括以监视速率通过信道拉动操作监视一个或多个信道,其中基于前一时间段内的更新事件的数量来确定针对一个或多个信道的监视速率。 该方法可以最佳地包括通过新颖度量来对该时间段内的更新事件进行过滤,其中过滤忽略不包括重要新颖信息的事件。 基于强化学习,随着时间的推移应用迭代学习规则,对监测率进行了调整。
    • 6. 发明申请
    • METHOD AND SYSTEM FOR USING SOCIAL BOOKMARKS
    • 使用社会书签的方法和系统
    • US20110219011A1
    • 2011-09-08
    • US12550376
    • 2009-08-30
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F17/30
    • G06F17/30
    • A method and system for using social bookmarks wherein a social bookmark is a triplet of the entities of user, document, and tag. The method including: collecting multiple bookmarks; representing the bookmarks as a three-dimensional space or matrix of the number of times a user u, used tag t to bookmark document d; measuring the similarity of two entities of the same type; and using the similarity to weight bookmarks or entities. The weightings may be used to provide a measure of a usefulness of a bookmark for describing a document for retrieval purposes. Two-dimensions of the bookmark space may also be used to predict the third-dimension.
    • 一种用于使用社交书签的方法和系统,其中社交书签是用户,文档和标签的实体的三元组。 该方法包括:收集多个书签; 将书签代表用户u的三维空间或矩阵,使用标签t来书签文件d; 测量相同类型的两个实体的相似度; 并使用相似度加权书签或实体。 权重可用于提供用于描述用于检索目的的文档的书签的有用性的量度。 书签空间的二维还可以用于预测第三维。
    • 7. 发明申请
    • Method and System for Maintaining Profiles of Information Channels
    • 维护信息渠道的方法和系统
    • US20090276457A1
    • 2009-11-05
    • US12111972
    • 2008-04-30
    • David CarmelHaggai RoitmanElad Yom-Tov
    • David CarmelHaggai RoitmanElad Yom-Tov
    • G06F17/30
    • G06F17/30867H04L69/14
    • A method and system are provided for maintaining profiles of information channels available on the Web, wherein the information channels are accessed via pull-only protocols. The method includes monitoring one or more channels by a channel pull action at a monitoring rate, wherein the monitoring rate is determined for the one or more channels based on the number of update events in a previous time period. The method may optimally include filtering the update events in the time period by a novelty measure, wherein the filtering disregards events that do not include significant novel information. The monitoring rate is adapted based on reinforcement learning applying iterative learning rules over time.
    • 提供了一种用于维护在Web上可用的信息信道的简档的方法和系统,其中通过仅拉协议访问信息信道。 该方法包括以监视速率通过信道拉动操作监视一个或多个信道,其中基于前一时间段内的更新事件的数量来确定针对一个或多个信道的监视速率。 该方法可以最佳地包括通过新颖度量来对该时间段内的更新事件进行过滤,其中过滤忽略不包括重要新颖信息的事件。 基于强化学习,随着时间的推移应用迭代学习规则,对监测率进行了调整。
    • 8. 发明申请
    • INDEXING AND SEARCHING ENTITY-RELATIONSHIP DATA
    • 指数和搜索实体关系数据
    • US20130238631A1
    • 2013-09-12
    • US13417248
    • 2012-03-11
    • David CarmelHaggai RoitmanSivan Yogev
    • David CarmelHaggai RoitmanSivan Yogev
    • G06F17/30
    • G06F17/30604
    • Method, system, and computer program product for indexing and searching entity-relationship data are provided. The method includes: defining a logical document model for entity-relationship data including: representing an entity as a document containing the entity's searchable content and metadata; dually representing the entity as a document and as a category; and representing each relationship instance for the entity as a category set that contains categories of all participating entities in the relationship. The method also includes: translating entity-relationship data into the logical document model; and indexing the entity-relationship data of the populated logical document model as an inverted index. The method may include searching indexed entity-relationship data using a faceted search, wherein the categories are all categories required for supporting faceted navigation.
    • 提供了索引和搜索实体关系数据的方法,系统和计算机程序产品。 该方法包括:定义用于实体关系数据的逻辑文档模型,包括:将实体表示为包含该实体的可搜索内容和元数据的文档; 将实体双重表示为文件和类别; 并将实体的每个关系实例表示为包含关系中所有参与实体的类别的类别集合。 该方法还包括:将实体关系数据转换为逻辑文档模型; 并将填充的逻辑文档模型的实体关系数据索引为反向索引。 该方法可以包括使用分面搜索搜索索引的实体关系数据,其中类别是支持分面导航所需的所有类别。
    • 9. 发明申请
    • FACETED SEARCH WITH RELATIONSHIPS BETWEEN CATEGORIES
    • 正面搜索与类别之间的关系
    • US20120310940A1
    • 2012-12-06
    • US13118477
    • 2011-05-30
    • David CarmelHaggai RoitmanSivan Yogev
    • David CarmelHaggai RoitmanSivan Yogev
    • G06F17/30
    • G06F17/30722
    • Method, system, and computer program product for faceted search with relationships between categories are provided. The method includes: having a document set of multiple documents, each document having associated categories to which it belongs; grouping multiple categories associated with a document into a category set based on a relationship between the multiple categories; associating the category set with the document; and indexing the category set for retrieval of documents from categories sharing a category set. Wherein indexing the category set includes: having an index entry of a textual representations of a category, wherein the index entry includes a single occurrence for each document to which the category is attached; adding a payload to a document occurrence of a serialization of an identifier of the category sets to which the category belongs associated with the document. Indexing the category set further includes: adding an index entry for category set data, wherein the index entry includes a single occurrence for each document, wherein a document occurrence includes a payload of a serialization of an identifier of category sets associated with the document, and an identifier of the categories belonging to the category sets.
    • 提供了方法,系统和计算机程序产品,用于分类搜索与类别之间的关系。 该方法包括:具有多个文档的文档集合,每个文档具有其所属的相关类别; 基于多个类别之间的关系将与文档相关联的多个类别分组成类别集合; 将类别集与文档相关联; 并索引用于从共享类别集的类别中检索文档的类别集。 其中索引所述类别集包括:具有类别的文本表示的索引条目,其中所述索引条目包括所述类别附加到的每个文档的单个事件; 向文档的类别集合的标识符的序列化的文档发生添加有效载荷,所述类别集合的标识符与文档相关联。 对类别集的索引进一步包括:为类别集数据添加索引条目,其中索引条目包括每个文档的单个出现,其中文档发生包括与文档相关联的类别集合的标识符的序列化的有效载荷,以及 属于类别集的类别的标识符。