公开(公告)号：US20110119243A1

公开(公告)日：2011-05-19

申请号：US12915213

申请日：2010-10-29

申请人： Ted Diamond ,  Jisheng Liang ,  Jonathan Reichhold ,  Krzysztof Koperski

发明人： Ted Diamond ,  Jisheng Liang ,  Jonathan Reichhold ,  Krzysztof Koperski

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Enhanced computer- and network-based methods, systems, techniques are provided for retrieving more accurate and responsive search results when searching content for a designated entity using an off-the-shelf keyword-based search engine. For example, the embodiments described herein may be used to improve search results by eliminating off-topic results when presenting queries to an existing keyword-based search engine invoked by means of an API from an intermediating application. Example embodiments provide a Keyword-Based Search Enhancement System (“KBSES”), which enables intermediating applications to obtain information more closely related to user queries by enhancing such queries, on behalf of the user, with disambiguating information when deemed necessary. Based upon a variety of rules and heuristics, which can be modified as well, the KBSES determines whether an entity name in a user's query should be enhanced with additional disambiguating information, and to what extent, to prevent the retrieval of off-topic results.

摘要翻译： 提供基于计算机和网络的方法，系统和技术，用于在使用现成的基于关键字的搜索引擎搜索指定实体的内容时检索更准确和响应的搜索结果。 例如，本文所述的实施例可以用于通过在向来自中间应用程序的API调用的现有基于关键字的搜索引擎呈现查询时消除脱离主题结果来改进搜索结果。 示例性实施例提供了一种基于关键词的搜索增强系统（“KBSES”），其使中间应用程序能够在认为必要时通过增强这些查询来代替用户消除歧义的信息来获得与用户查询更密切相关的信息。 基于可以修改的各种规则和启发式方法，KBSES确定用户查询中的实体名称是否应增加消除歧义信息，以及在多大程度上防止检索脱离主题的结果。

公开(公告)号：US20100268600A1

公开(公告)日：2010-10-21

申请号：US12758690

申请日：2010-04-12

申请人： Michele L. Banko ,  Krzysztof Koperski ,  Jisheng Liang ,  Aniruddha Gadre ,  Christopher J. Barrows

发明人： Michele L. Banko ,  Krzysztof Koperski ,  Jisheng Liang ,  Aniruddha Gadre ,  Christopher J. Barrows

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0254 ,  G06Q30/02

摘要： Methods, techniques, and systems for advertisement targeting are provided. Example embodiments provide an enhanced ad targeting system (“EATS”), which given one or more products, determines keywords to associate with those products and which, given one or more entities, determines related products for which ads can be targeted. In some embodiments, the EATS uses semantic analysis and relationship searching to aid in the selection of ads more relevant to a context or search query.

摘要翻译： 提供了广告定位的方法，技术和系统。 示例性实施例提供了增强的广告定位系统（“EATS”），其给予一个或多个产品，确定与这些产品相关联的关键字以及给定一个或多个实体确定哪些广告可以被定向的相关产品。 在一些实施例中，EATS使用语义分析和关系搜索来帮助选择与上下文或搜索查询更相关的广告。

公开(公告)号：US09116995B2

公开(公告)日：2015-08-25

申请号：US13434600

申请日：2012-03-29

申请人： Krzysztof Koperski ,  Satish Bhatti ,  Jisheng Liang ,  Adrian Klein

发明人： Krzysztof Koperski ,  Satish Bhatti ,  Jisheng Liang ,  Adrian Klein

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30598 ,  G06F17/30663 ,  G06F17/30699 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30722 ,  G06F17/30867

摘要： Methods, systems, and techniques for cluster-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend news stories about events or occurrences. In some embodiments, a news story about an event includes multiple related content items that each include an account of the event and that each reference one or more entities or categories that are represented by the CRS. In one embodiment, the CRS identifies news stories by generating clusters of related content items. Then, in response to a received query that indicates a keyterm, entity, or category, the CRS determines and provides indications of one or more news stories that are relevant to the received query. In some embodiments, at least some of these techniques are employed to implement a news story recommendation facility in an online news service.

摘要翻译： 描述了基于群集的内容推荐的方法，系统和技术。 一些实施例提供了被配置为推荐关于事件或事件的新闻故事的内容推荐系统（“CRS”）。 在一些实施例中，关于事件的新闻故事包括多个相关内容项，每个内容项包括事件的帐户，并且每个引用由CRS表示的一个或多个实体或类别。 在一个实施例中，CRS通过生成相关内容项目的集群来识别新闻故事。 然后，响应于接收到的指示关键字，实体或类别的查询，CRS确定并提供与所接收的查询相关的一个或多个新闻故事的指示。 在一些实施例中，使用这些技术中的至少一些来实现在线新闻服务中的新闻故事推荐设施。

公开(公告)号：US08645125B2

公开(公告)日：2014-02-04

申请号：US13075799

申请日：2011-03-30

申请人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

发明人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

IPC分类号： G06F17/27

CPC分类号： G06F17/278 ,  G06F17/2705 ,  G06F17/274 ,  G06F17/2775 ,  G06F17/28 ,  G06F17/30011 ,  G06F17/30684

摘要： Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

摘要翻译： 描述使用自然语言处理技术从文本文档获得报价的技术。 一些实施例提供了一种内容推荐系统（“CRS”），其被配置为通过从语料库文本文档中提取报价来提供报价，并且响应于从用户接收的搜索请求提供对所提取的报价的访问。 CRS可以通过使用基于自然语言处理的技术来提取报价，以识别由提取的报价引用的一个或多个实体，例如人，地点，对象，概念等。 然后，CRS可以将所提取的报价与所识别的实体（例如引号说话者和主题）一起存储，以供稍后通过搜索请求访问。

公开(公告)号：US20110282888A1

公开(公告)日：2011-11-17

申请号：US13038192

申请日：2011-03-01

申请人： Krzysztof Koperski ,  Jisheng Liang ,  Neil Roseman

发明人： Krzysztof Koperski ,  Jisheng Liang ,  Neil Roseman

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/30867

摘要： Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection.

摘要翻译： 描述内容推荐的技术。 一些实施例提供了被配置为推荐与实体集合相关的内容项的内容推荐系统（“CRS”）。 内容项目可以被认为与基于各种因素的实体集合相关，包括文章引用或多次引用或以其他方式涵盖集合的实体，文章的大小，文章涵盖的其他实体，但是 不在收藏，文章新近或文章的可信度。 推荐内容项还可以或者替代地包括确定与集合相关的实体。 可以将实体视为基于各种因素与集合相关的实体，例如该实体与集合的实体是相同或相似的类型，或者该实体是否出现在与一个或多个实体的关系中的一些文章中 采集。