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    • 3. 发明授权
    • Analyzing the ability to find textual content
    • 分析查找文字内容的能力
    • US07792830B2
    • 2010-09-07
    • US11461464
    • 2006-08-01
    • David CarmelAdam DarlowShai FineDan PellegElad Yom-Tov
    • David CarmelAdam DarlowShai FineDan PellegElad Yom-Tov
    • G06F7/00G06F17/30G06F15/18G06F17/00G06N5/02
    • G06F17/30675
    • A method and system for analyzing a document set (202, 420) are provided. The method includes determining a set of terms (312) from the terms of the document set that minimizes a distance measurement (405) from the given set of documents (420). The method includes using a greedy algorithm to build the set of terms incrementally, at each stage finding a single word that is closest to the document set (202, 420). The set of terms is evaluated to assess the ability to find the document set (202, 420). The set of terms are compared with expected terms to evaluate the ability to find the document set (202, 420). A measure of the ability to find a document set (202, 420) is provided by computing a distance measure (403) between a document set and an entire collection.
    • 提供了一种用于分析文档集(202,420)的方法和系统。 该方法包括从文档集合的术语中确定一组术语(312),该文档集合的术语使距离给定文档集合(420)最小化距离测量(405)。 该方法包括使用贪心算法逐渐建立术语集合,在每个阶段找到最靠近文档集(202,420)的单个单词。 评估一组术语以评估查找文档集(202,420)的能力。 将这组术语与预期术语进行比较,以评估查找文档集(202,420)的能力。 通过计算文档集和整个集合之间的距离度量(403)来提供查找文档集(202,420)的能力的度量。
    • 5. 发明授权
    • Merging of results in distributed information retrieval
    • 结果在分布式信息检索中合并
    • US07984039B2
    • 2011-07-19
    • US11183086
    • 2005-07-14
    • David CarmelAdam DarlowShai FineElad Yom-Tov
    • David CarmelAdam DarlowShai FineElad Yom-Tov
    • G06F7/00G06F17/30
    • G06F17/30864
    • A method and system are provided of merging results in distributed information retrieval. A search manager is in communication with a plurality of components, wherein a component is a search engine working on a document collection and returning results in the form of a list of documents to a search query. The search manager submits a query to the plurality of components, receives results from each component in the form of a list of documents; estimates the success of a component in handling the query to generate a merit score for a component per query; applies the merit score to the results for the component; and merges results from the plurality of components by ranking in order of the applied merit score.
    • 提供了一种在分布式信息检索中合并结果的方法和系统。 搜索管理器与多个组件进行通信,其中组件是对文档收集工作的搜索引擎,并以搜索查询的文档列表的形式返回结果。 搜索管理器向多个组件提交查询,以文档列表的形式从每个组件接收结果; 估计组件处理查询的成功,以生成每个查询的组件的优点得分; 将优点分数应用于组件的结果; 并且通过按照所应用的优点得分的顺序来排列来自多个组分的结果。
    • 6. 发明申请
    • Analyzing the Ability to Find Textual Content
    • 分析查找文本内容的能力
    • US20080033971A1
    • 2008-02-07
    • US11461464
    • 2006-08-01
    • David CarmelAdam DarlowShai FineDan PellegElad Yom-Tov
    • David CarmelAdam DarlowShai FineDan PellegElad Yom-Tov
    • G06F7/00
    • G06F17/30675
    • A method and system for analyzing a document set (202, 420) are provided. The method includes determining a set of terms (312) from the terms of the document set that minimizes a distance measurement (405) from the given set of documents (420). The method includes using a greedy algorithm to build the set of terms incrementally, at each stage finding a single word that is closest to the document set (202, 420). The set of terms is evaluated to assess the ability to find the document set (202, 420). The set of terms are compared with expected terms to evaluate the ability to find the document set (202, 420). A measure of the ability to find a document set (202, 420) is provided by computing a distance measure (403) between a document set and an entire collection.
    • 提供了一种用于分析文档集(202,420)的方法和系统。 该方法包括从文档集合的术语中确定一组术语(312),该文档集合的术语使距离给定文档集合(420)最小化距离测量(405)。 该方法包括使用贪心算法逐渐建立术语集合,在每个阶段找到最靠近文档集(202,420)的单个单词。 评估一组术语以评估查找文档集(202,420)的能力。 将这组术语与预期术语进行比较,以评估查找文档集(202,420)的能力。 通过计算文档集和整个集合之间的距离度量(403)来提供查找文档集(202,420)的能力的度量。
    • 7. 发明申请
    • Merging of results in distributed information retrieval
    • 结果在分布式信息检索中合并
    • US20070016574A1
    • 2007-01-18
    • US11183086
    • 2005-07-14
    • David CarmelAdam DarlowShai FineElad Yom-Tov
    • David CarmelAdam DarlowShai FineElad Yom-Tov
    • G06F17/30
    • G06F17/30864
    • A method and system are provided of merging results in distributed information retrieval. A search manager (104) is in communication with a plurality of components, wherein a component is a search engine (106-108) working on a document collection and returning results in the form of a list of documents to a search query. The search manager (104) submits a query (202) to the plurality of components, receives results (213) from each component in the form of a list of documents; estimates (208) the success of a component in handling the query to generate a merit score (210) for a component per query; applies (220) the merit score (210) to the results for the component; and merges (222) results from the plurality of components by ranking in order of the applied merit score.
    • 提供了一种在分布式信息检索中合并结果的方法和系统。 搜索管理器(104)与多个组件通信,其中组件是在文档收集上工作的搜索引擎(106-108),并以搜索查询的文档列表的形式返回结果。 搜索管理器(104)向多个组件提交查询(202),以文档列表的形式从每个组件接收结果(213); 估计(208)组件在处理查询中的成功以生成每个查询的组件的优点得分(210); 将优点得分(210)(220)应用于组件的结果; 并通过按照应用的优点得分的顺序来合并来自多个成分的结果(222)。
    • 8. 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。
    • 9. 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。
    • 10. 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。