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1. 发明授权

US09864808B2 Knowledge-based entity detection and disambiguation 有权
公开(公告)号：US09864808B2
公开(公告)日：2018-01-09
申请号：US15420751
申请日：2017-01-31
申请人： Microsoft Technology Licensing, LLC
发明人： Kang Li , Yi Li , Yiping Zhou , Zhengdong Lv , Yohn Cao
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30687 , G06F17/30864
摘要： An entity-based search system is described herein that detects and recognizes entities in Internet-based content and uses this recognition to organize search results. The system associates one or more entity identifiers with a web page and stores this information as metadata of the page in a search engine index. This metadata will enable entity-based queries as well as rich data presentations in a search engine result page (SERP), including grouping results by entities, filtering results by one or more particular entities, or re-ranking search results based on user preference of entities. Thus, the entity-based search system allows users to identify a particular entity the user is interested in finding, and to receive search results directly related to that entity.

2. 发明申请

US20170140059A1 KNOWLEDGE-BASED ENTITY DETECTION AND DISAMBIGUATION 有权
公开(公告)号：US20170140059A1
公开(公告)日：2017-05-18
申请号：US15420751
申请日：2017-01-31
申请人： Microsoft Technology Licensing, LLC
发明人： Kang Li , Yi Li , Yiping Zhou , Zhengdong Lv , Yohn Cao
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30687 , G06F17/30864
摘要： An entity-based search system is described herein that detects and recognizes entities in Internet-based content and uses this recognition to organize search results. The system associates one or more entity identifiers with a web page and stores this information as metadata of the page in a search engine index. This metadata will enable entity-based queries as well as rich data presentations in a search engine result page (SERP), including grouping results by entities, filtering results by one or more particular entities, or re-ranking search results based on user preference of entities. Thus, the entity-based search system allows users to identify a particular entity the user is interested in finding, and to receive search results directly related to that entity.

3. 发明授权

US10296644B2 Salient terms and entities for caption generation and presentation 有权
公开(公告)号：US10296644B2
公开(公告)日：2019-05-21
申请号：US15070989
申请日：2016-03-15
申请人： Microsoft Technology Licensing, LLC
发明人： Yiping Zhou , Gianluca Donato , Aparna Rajaraman , Oana Nicolov
IPC分类号： G06F7/00 , G06F17/30
摘要： Architecture that enables the extraction of document-specific salient terms from documents for use improving the result summaries on a search engine result page (SERP), and methods to extract the salient terms from the documents using search engine logs, document metadata, and other algorithms. Document-specific salient terms can provide additional information and significantly improve user success in finding relevant documents while disregarding non-relevant documents. The architecture also enables the extraction of entity information from a variety of sources, some of which are at a query level, and other sources that are specific to a single document. All the entities available are aggregated for a set of results and the most relevant results are identified. The final set of results is then used to determine where in the document summary to apply visual emphasis or cues (e.g., bolding).

4. 发明申请

US20160283593A1 SALIENT TERMS AND ENTITIES FOR CAPTION GENERATION AND PRESENTATION 审中-公开
标题翻译：声明条款和表达生成和陈述的实体
公开(公告)号：US20160283593A1
公开(公告)日：2016-09-29
申请号：US15070989
申请日：2016-03-15
申请人： Microsoft Technology Licensing, LLC
发明人： Yiping Zhou , Gianluca Donato , Aparna Rajaraman , Oana Nicolov
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30401
摘要： Architecture that enables the extraction of document-specific salient terms from documents for use improving the result summaries on a search engine result page (SERP), and methods to extract the salient terms from the documents using search engine logs, document metadata, and other algorithms. Document-specific salient terms can provide additional information and significantly improve user success in finding relevant documents while disregarding non-relevant documents. The architecture also enables the extraction of entity information from a variety of sources, some of which are at a query level, and other sources that are specific to a single document. All the entities available are aggregated for a set of results and the most relevant results are identified. The final set of results is then used to determine where in the document summary to apply visual emphasis or cues (e.g., bolding).
摘要翻译：能够从搜索引擎结果页（SERP）中提取结果摘要的文档中提取特定于文档的突出术语的体系结构，以及使用搜索引擎日志，文档元数据和其他算法从文档中提取显着项的方法。特定于文档的突出术语可以提供更多的信息，并显着提高用户在查找相关文档时的成功，同时忽略不相关的文档。该体系结构还能够从各种来源（其中一些来自查询级别）以及特定于单个文档的其他来源提取实体信息。所有可用的实体将汇总一组结果，并确定最相关的结果。然后，最后一组结果用于确定文档摘要中的哪里应用视觉强调或提示（例如粗体）。

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