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    • 2. 发明申请
    • METHODS AND SYSTEMS FOR CREATING AND USING AN ADAPTIVE THESAURUS
    • 用于创建和使用自适应THESAURUS的方法和系统
    • US20130254220A1
    • 2013-09-26
    • US13897093
    • 2013-05-17
    • Donald LORITZShian-jung CHENNarasimha EDALAHarry SILVER
    • Donald LORITZShian-jung CHENNarasimha EDALAHarry SILVER
    • G06F17/30
    • G06F17/30976G06F17/2795G06F17/30672
    • Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    • 提供了用于创建自适应词典的方法和系统。 接收包括索引项和扩展项的术语对。 使用处理器计算术语对的回忆增益,扩展独立性和语义相似性。 是否存储术语对是基于召回增益,扩展独立性和语义相似度来确定的。 基于确定来存储术语对。 提供了使用自适应词典进行搜索的方法和系统。 收到包括查询项的搜索查询。 检索与自适应词典中的查询项匹配的索引项相关联地存储的扩展项。 使用处理器,使用基于回调增益,扩展独立性和语义相似度的扩展项来扩展搜索查询。
    • 3. 发明申请
    • FUZZY PROXIMITY BOOSTING AND INFLUENCE KERNELS
    • FUZZY近似加速和影响因素
    • US20110016117A1
    • 2011-01-20
    • US12506092
    • 2009-07-20
    • Narasimha EDALADonald Loritz
    • Narasimha EDALADonald Loritz
    • G06F17/30
    • G06F17/30867
    • A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    • 提供了一种根据相关评分对文档进行排序的方法和装置。 在一个实现中,提供了一种计算机实现的方法,用于通过网络从数据库接收由数据库上的搜索产生的文档,该文档包含与搜索条件匹配的条款。 该方法可以计算表示文档中符合搜索条件的项的分布的概率分布函数的标准偏差。 该方法还可以根据标准偏差来确定文档中符合搜索条件的项之间的相对距离。 该方法可以使用相对距离进一步计算接近度升高值,并将邻近增益值应用于文档的基本相关性得分以确定相关性排序。 然后可以根据相关性排名对该文档进行排名。
    • 5. 发明授权
    • Fuzzy proximity boosting and influence kernels
    • 模糊接近提升和影响内核
    • US08176044B2
    • 2012-05-08
    • US12506092
    • 2009-07-20
    • Narasimha EdalaDonald Loritz
    • Narasimha EdalaDonald Loritz
    • G06F7/00
    • G06F17/30867
    • A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    • 提供了一种根据相关评分对文档进行排序的方法和装置。 在一个实现中,提供了一种计算机实现的方法,用于通过网络从数据库接收由数据库上的搜索产生的文档,该文档包含与搜索条件匹配的条款。 该方法可以计算表示文档中符合搜索条件的项的分布的概率分布函数的标准偏差。 该方法还可以根据标准偏差来确定文档中符合搜索条件的项之间的相对距离。 该方法可以使用相对距离进一步计算接近度升高值,并将邻近增益值应用于文档的基本相关性得分以确定相关性排序。 然后可以根据相关性排名对该文档进行排名。
    • 7. 发明申请
    • METHODS AND SYSTEMS FOR CREATING AND USING AN ADAPTIVE THESAURUS
    • 用于创建和使用自适应THESAURUS的方法和系统
    • US20100198821A1
    • 2010-08-05
    • US12362940
    • 2009-01-30
    • Donald LORITZShian-jung CHENNarasimha EDALAHarry SILVER
    • Donald LORITZShian-jung CHENNarasimha EDALAHarry SILVER
    • G06F17/30
    • G06F17/30976G06F17/2795G06F17/30672
    • Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    • 提供了用于创建自适应词典的方法和系统。 接收包括索引项和扩展项的术语对。 使用处理器计算术语对的回忆增益,扩展独立性和语义相似性。 是否存储术语对是基于召回增益,扩展独立性和语义相似度来确定的。 基于确定来存储术语对。 提供了使用自适应词典进行搜索的方法和系统。 收到包括查询项的搜索查询。 检索与自适应词典中的查询项匹配的索引项相关联地存储的扩展项。 使用处理器,使用基于回调增益,扩展独立性和语义相似度的扩展项来扩展搜索查询。
    • 10. 发明授权
    • Fuzzy proximity boosting and influence kernels
    • 模糊接近提升和影响内核
    • US08818999B2
    • 2014-08-26
    • US13443589
    • 2012-04-10
    • Narasimha EdalaDonald Loritz
    • Narasimha EdalaDonald Loritz
    • G06F17/30
    • G06F17/30867
    • A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    • 提供了一种根据相关评分对文档进行排序的方法和装置。 在一个实现中,提供了一种计算机实现的方法,用于通过网络从数据库接收由数据库上的搜索产生的文档,该文档包含与搜索条件匹配的条款。 该方法可以计算表示文档中符合搜索条件的项的分布的概率分布函数的标准偏差。 该方法还可以根据标准偏差来确定文档中符合搜索条件的项之间的相对距离。 该方法可以使用相对距离进一步计算接近度升高值,并将邻近增益值应用于文档的基本相关性得分以确定相关性排序。 然后可以根据相关性排名对该文档进行排名。