专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US07028053B2 Apparatus and methods for accessing a collection of content portions 失效
标题翻译：用于访问内容部分的集合的装置和方法
公开(公告)号：US07028053B2
公开(公告)日：2006-04-11
申请号：US10248408
申请日：2003-01-16
申请人： Ed H. Chi , Peter L. Pirolli
发明人： Ed H. Chi , Peter L. Pirolli
IPC分类号： G06F17/30 , G06F15/00
CPC分类号： G06F17/30716 , G06F17/3071 , G06F17/30867 , G06F17/3089 , Y10S707/99931 , Y10S707/99945 , Y10S707/99948
摘要： Techniques for browsing through a large collection of content portions uses a scatter and gather approach where a collection of content portions is clustered into one or more clusters using multi-modal data modeling. Additionally, as part of the multi-modal data modeling, “proximal cues” surrounding links or connections or surrounding “image links” in a content portion are used to quickly identify the user's information needs. Thus, taking into account proximal cues during multi-modal data modeling improves the scattering and the gathering process, as well as personalizes the scattering and the gathering process to most effectively cluster content portions of interest to the user.
摘要翻译：用于浏览大量内容部分的技术使用分散和收集方法，其中使用多模态数据建模将内容部分的集合聚类成一个或多个集群。另外，作为多模式数据建模的一部分，使用内容部分中的链接或连接或周围“图像链接”的“近端提示”来快速识别用户的信息需求。因此，在多模态数据建模过程中，考虑到近端线索可以改善散射和收集过程，以及个性化散射和收集过程，以最有效地将感兴趣的内容部分聚类到用户。

2. 发明授权

US07017110B1 System and method for inferring user information need in hypermedia linked document collection 有权
标题翻译：用于推断用户信息的系统和方法需要超媒体链接的文档收集
公开(公告)号：US07017110B1
公开(公告)日：2006-03-21
申请号：US09540063
申请日：2000-03-31
申请人： Ed H. Chi , Peter L. Pirolli , James E. Pitkow
发明人： Ed H. Chi , Peter L. Pirolli , James E. Pitkow
IPC分类号： G06F17/00
CPC分类号： G06F17/30855 , G06F17/30867 , G06F17/30882
摘要： The present invention provides a system and method for inferring information need in a collection of hypermedia documents that is based on the observation that a user's hypertext link traversal decisions are typically based on the nature of that user's information need. The system identifies the hypermedia linkage structure among the plurality of documents in the collection. The documents include content items that may be relevant to a user information need. The system then accepts a user path item that represents a user's hypermedia link traversal history and applies a network flow model to the user path item in the hypermedia link information in order to create a document vector. The system also determines the distribution of the content items in the document collection, and then compares the document vector to the content item distribution in order to determine an inferred information need.
摘要翻译：本发明提供了一种用于在超媒体文档的集合中推断信息需求的系统和方法，其基于用户的超文本链接遍历决定通常基于该用户的信息需要的性质的观察。系统识别集合中的多个文档之间的超媒体联动结构。这些文件包括可能与用户信息需要相关的内容项。然后，系统接受表示用户的超媒体链接遍历历史的用户路径项目，并将网络流模型应用于超媒体链接信息中的用户路径项目，以便创建文档向量。系统还确定文档收集中的内容项目的分布，然后将文档向量与内容项目分布进行比较，以确定推断的信息需求。

3. 发明申请

US20120265771A1 SYSTEM AND METHOD FOR IDENTIFYING USERS RELEVANT TO A TOPIC OF INTEREST 有权
标题翻译：识别与利益主体相关的用户的系统和方法
公开(公告)号：US20120265771A1
公开(公告)日：2012-10-18
申请号：US13087308
申请日：2011-04-14
申请人： Bongwon Suh , Kevin Robert Canini , Peter L. Pirolli , Ed H. Chi
发明人： Bongwon Suh , Kevin Robert Canini , Peter L. Pirolli , Ed H. Chi
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06Q10/101
摘要： A system and method for identifying users relevant to a topic of interest is provided. A query comprising one or more topics is executed against a corpus of messages. Voting users associated with the messages matching the query are identified. A set of candidate users comprising users connected to the voting users is generated. A relevancy score is computed for each candidate user. The candidate users are ranked by their respective relevancy score.
摘要翻译：提供了一种用于识别与感兴趣的主题相关的用户的系统和方法。针对消息语料库执行包括一个或多个主题的查询。识别与匹配查询的消息相关联的投票用户。生成包括连接到投票用户的用户的一组候选用户。为每个候选用户计算相关性分数。候选人按照各自的相关分数进行排名。

4. 发明授权

US06671711B1 System and method for predicting web user flow by determining association strength of hypermedia links 有权
标题翻译：通过确定超媒体链接的关联强度来预测网络用户流的系统和方法
公开(公告)号：US06671711B1
公开(公告)日：2003-12-30
申请号：US09540976
申请日：2000-03-31
申请人： Peter L. Pirolli , Ed H. Chi , James E. Pitkow
发明人： Peter L. Pirolli , Ed H. Chi , James E. Pitkow
IPC分类号： G06F900
CPC分类号： G06F17/30882 , G06F17/30014 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934
摘要： The present invention also provides a system and method for predicting user traffic flow in a collection of hypermedia documents by determining the association strength of the hypermedia links. Hypermedia links are identified among a plurality of documents, where the documents include content items such as keywords that may or may not be relevant to a user information need. The distribution of the content items in the document collection is then determined. An information item is received as input, and is compared to the content items. In response to the comparison, association strengths are assigned to the hypermedia links. A network flow model uses the association strengths of the hypermedia links to predict user traffic flow in response to an initial condition.
摘要翻译：本发明还提供了一种用于通过确定超媒体链路的关联强度来预测超媒体文档集合中的用户业务流的系统和方法。在多个文档中标识超媒体链接，其中文档包括诸如关键字之类的内容项目，这些关键字可能与用户信息需要相关也可能不相关。然后确定文档集合中的内容项目的分发。作为输入接收信息项，并与内容项进行比较。响应于比较，将关联强度分配给超媒体链接。网络流模型使用超媒体链路的关联强度来响应于初始条件来预测用户业务流。

5. 发明授权

US06598054B2 System and method for clustering data objects in a collection 有权
标题翻译：集合中数据对象集群的系统和方法
公开(公告)号：US06598054B2
公开(公告)日：2003-07-22
申请号：US09425039
申请日：1999-10-19
申请人： Hinrich Schuetze , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
发明人： Hinrich Schuetze , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
IPC分类号： G06F1700
CPC分类号： G06F17/30713 , G06F17/30994 , Y10S707/99944 , Y10S707/99945
摘要： A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.
摘要翻译：用于从集合中浏览，检索和推荐信息的系统和方法使用集合中的文档的多模态特征，以及用户先前浏览和检索行为的分析。系统和方法以各种公开的方法为前提，用于定量表示文档集合中的文档，作为多维向量空间中的向量，定量地确定文档之间的相似性，并根据这些相似性对文档进行聚类。系统和方法还依赖于定量表示用户群体中的用户的方法，定量地确定用户之间的相似性，根据这些相似性对用户进行聚类，并且通过类似于文档集合直观地表示用户群。

6. 发明授权

US06567797B1 System and method for providing recommendations based on multi-modal user clusters 有权
标题翻译：基于多模态用户群提供建议的系统和方法
公开(公告)号：US06567797B1
公开(公告)日：2003-05-20
申请号：US09425038
申请日：1999-10-19
申请人： Hinrich Schuetze , James E. Pitkow , Peter L. Pirolli , Ed H. Chi , Jun Li
发明人： Hinrich Schuetze , James E. Pitkow , Peter L. Pirolli , Ed H. Chi , Jun Li
IPC分类号： G06F700
CPC分类号： G06F17/3061 , G06F17/3025 , G06F17/30268 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.
摘要翻译：用于从集合中浏览，检索和推荐信息的系统和方法使用集合中的文档的多模态特征，以及用户先前浏览和检索行为的分析。系统和方法以各种公开的方法为前提，用于定量表示文档集合中的文档，作为多维向量空间中的向量，定量地确定文档之间的相似性，并根据这些相似性对文档进行聚类。系统和方法还依赖于定量表示用户群体中的用户的方法，定量地确定用户之间的相似性，根据这些相似性对用户进行聚类，并且通过类似于文档集合直观地表示用户群。

7. 发明授权

US06564202B1 System and method for visually representing the contents of a multiple data object cluster 有权
标题翻译：用于可视地表示多数据对象集群的内容的系统和方法
公开(公告)号：US06564202B1
公开(公告)日：2003-05-13
申请号：US09421419
申请日：1999-10-19
申请人： Hinrich Schuetze , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
发明人： Hinrich Schuetze , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
IPC分类号： G06F1730
CPC分类号： G06F17/3061 , Y10S707/99932
摘要： A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.
摘要翻译：用于从集合中浏览，检索和推荐信息的系统和方法使用集合中的文档的多模态特征，以及用户先前浏览和检索行为的分析。系统和方法以各种公开的方法为前提，用于定量表示文档集合中的文档，作为多维向量空间中的向量，定量地确定文档之间的相似性，并根据这些相似性对文档进行聚类。系统和方法还依赖于定量表示用户群体中的用户的方法，定量地确定用户之间的相似性，根据这些相似性对用户进行聚类，并且通过类似于文档集合直观地表示用户群。

8. 发明授权

US08275769B1 System and method for identifying users relevant to a topic of interest 有权
标题翻译：用于识别与感兴趣的主题相关的用户的系统和方法
公开(公告)号：US08275769B1
公开(公告)日：2012-09-25
申请号：US13087308
申请日：2011-04-14
申请人： Bongwon Suh , Kevin Robert Canini , Peter L. Pirolli , Ed H. Chi
发明人： Bongwon Suh , Kevin Robert Canini , Peter L. Pirolli , Ed H. Chi
IPC分类号： G06F17/30
CPC分类号： G06Q10/101
摘要： A system and method for identifying users relevant to a topic of interest is provided. A query comprising one or more topics is executed against a corpus of messages. Voting users associated with the messages matching the query are identified. A set of candidate users comprising users connected to the voting users is generated. A relevancy score is computed for each candidate user. The candidate users are ranked by their respective relevancy score.
摘要翻译：提供了一种用于识别与感兴趣的主题相关的用户的系统和方法。针对消息语料库执行包括一个或多个主题的查询。识别与匹配查询的消息相关联的投票用户。生成包括连接到投票用户的用户的一组候选用户。为每个候选用户计算相关性分数。候选人按照各自的相关分数进行排名。

9. 发明授权

US06941321B2 System and method for identifying similarities among objects in a collection 失效
标题翻译：用于识别集合中的对象之间的相似性的系统和方法
公开(公告)号：US06941321B2
公开(公告)日：2005-09-06
申请号：US09421767
申请日：1999-10-19
申请人： Hinrich Schuetze , Francine R. Chen , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
发明人： Hinrich Schuetze , Francine R. Chen , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30994 , Y10S707/99944 , Y10S707/99945
摘要： A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.
摘要翻译：用于从集合中浏览，检索和推荐信息的系统和方法使用集合中的文档的多模态特征，以及用户先前浏览和检索行为的分析。系统和方法以各种公开的方法为前提，用于定量表示文档集合中的文档，作为多维向量空间中的向量，定量地确定文档之间的相似性，并根据这些相似性对文档进行聚类。系统和方法还依赖于定量表示用户群体中的用户的方法，定量地确定用户之间的相似性，根据这些相似性对用户进行聚类，并且通过类似于文档集合直观地表示用户群。

10. 发明授权

US06922699B2 System and method for quantitatively representing data objects in vector space 有权
标题翻译：用于定量表示向量空间中的数据对象的系统和方法
公开(公告)号：US06922699B2
公开(公告)日：2005-07-26
申请号：US09421416
申请日：1999-10-19
申请人： Hinrich Schuetze , Francine R. Chen , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li , Ullas Gargi
发明人： Hinrich Schuetze , Francine R. Chen , Peter L. Pirolli , James E. Pitkow , Ed H. Chi , Jun Li , Ullas Gargi
IPC分类号： G06F17/30
CPC分类号： G06F17/30253 , G06F17/3025 , G06F17/30616 , G06F17/3071 , Y10S707/99933 , Y10S707/99944 , Y10S707/99945
摘要： A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.
摘要翻译：用于从集合中浏览，检索和推荐信息的系统和方法使用集合中的文档的多模态特征，以及用户先前浏览和检索行为的分析。系统和方法以各种公开的方法为前提，用于定量表示文档集合中的文档，作为多维向量空间中的向量，定量地确定文档之间的相似性，并根据这些相似性对文档进行聚类。系统和方法还依赖于定量表示用户群体中的用户的方法，定量地确定用户之间的相似性，根据这些相似性对用户进行聚类，并且通过类似于文档集合直观地表示用户群。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式