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    • 1. 发明申请
    • QUERY IDENTIFICATION AND NORMALIZATION FOR WEB SEARCH
    • 网页搜索的查询和标准化
    • US20100257150A1
    • 2010-10-07
    • US12818036
    • 2010-06-17
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F17/30
    • G06F17/30867G06F17/3064
    • A computer-implemented method for processing user entered query data to improve results of a search of pages using a local search database, when searching the internet, is disclosed. The method includes receiving the user entered query data and parsing each word of the query data and segmenting words using a probabilistic dictionary to determine a likelihood that the word is for a particular name. And, associating the particular names with a name tag to create one or more tagged name terms. Then, normalizing each of the tagged name terms and the normalizing including boosting information if found in the local search database and determining proximity between selected ones of the tagged name terms. The method then generates an optimized search query that incorporates normalized terms and operators. The optimized search query being applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 公开了一种用于处理用户输入的查询数据以便在搜索互联网时使用本地搜索数据库搜索页面的结果的计算机实现的方法。 该方法包括接收用户输入的查询数据和解析查询数据的每个单词并使用概率词典分割单词,以确定单词对于特定名称的可能性。 并且,将特定名称与名称标签相关联以创建一个或多个标记名称术语。 然后,对每个标记的名称术语进行归一化,并且如果在本地搜索数据库中找到,则包括增强信息的归一化,并且确定所选标记的名称术语之间的接近度。 该方法然后生成一个优化的搜索查询,其中包含标准化术语和运算符。 优化的搜索查询被应用于互联网,以响应于输入的查询数据来产生和显示给用户的搜索结果。
    • 2. 发明申请
    • QUERY PROCESSING FOR WEB SEARCH
    • 用于WEB搜索的查询处理
    • US20110264647A1
    • 2011-10-27
    • US13175797
    • 2011-07-01
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F17/30
    • G06F17/30867G06F17/3064
    • A computer-implemented method for processing user entered query data to improve results of a search of pages using a database, when searching the internet, is disclosed. The method includes receiving the user entered query data and parsing each word of the query data and segmenting words using probability to determine a likelihood that the word is for a particular name. And, associating the particular names with a name tag to create one or more tagged name terms. Then, normalizing each of the tagged name terms and the normalizing including boosting information if found in the database and determining proximity between selected ones of the tagged name terms. The method then generates an optimized search query that incorporates normalized terms and operators. The optimized search query being applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 公开了一种用于处理用户输入的查询数据以在搜索互联网时改进使用数据库的页面的搜索结果的计算机实现的方法。 该方法包括接收用户输入的查询数据和解析查询数据的每个单词,并使用概率来分割单词以确定单词用于特定名称的可能性。 并且,将特定名称与名称标签相关联以创建一个或多个标记名称术语。 然后,对每个标记的名称术语进行归一化,并且如果在数据库中找到,则标准化包括增强信息,并确定所选择的标记名称术语之间的接近度。 该方法然后生成一个优化的搜索查询,其中包含标准化术语和运算符。 优化的搜索查询被应用于互联网,以响应于输入的查询数据来产生和显示给用户的搜索结果。
    • 3. 发明授权
    • Local query identification and normalization for web search
    • 网页搜索的本地查询识别和规范化
    • US07769746B2
    • 2010-08-03
    • US12015448
    • 2008-01-16
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F17/30
    • G06F17/30867G06F17/3064
    • Computer-implemented methods and systems for processing user entered query data to improve results of a search of pages using a local search database are provided, when searching the internet. The method includes receiving the user entered query data and parsing each word of the query data and examining each word to determine if the word is associated with one of a business name, a city name or a state name. The examining uses probabilistic dictionaries to determine a likelihood that the word is for a particular term or intent. The method further includes normalizing each of the tagged business terms. The normalizing includes boosting information if found in the local search database and determining proximity between selected ones of the tagged terms. Then, generating an optimized internal search query that incorporates constraints and ranking based on at least the boosting information and the determined proximity between the selected tagged terms. The optimized internal search query is applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 当搜索互联网时,提供了用于处理用户输入的查询数据以改进使用本地搜索数据库的页面搜索结果的计算机实现的方法和系统。 该方法包括接收用户输入的查询数据并解析查询数据的每个单词并检查每个单词以确定该单词是否与商务名称,城市名称或州名称之一相关联。 检查使用概率词典来确定该词是针对特定术语或意图的可能性。 该方法还包括标准化每个标记的业务项。 归一化包括在本地搜索数据库中找到的增强信息,并确定所标记的条款中所选择的一个之间的接近度。 然后,生成优化的内部搜索查询,该内部搜索查询至少基于提升信息和确定的所选标记项目之间的接近度而合并约束和排序。 优化的内部搜索查询被应用于互联网,以便响应于输入的查询数据而产生并显示给用户的搜索结果。
    • 4. 发明授权
    • Query identification and normalization for web search
    • 网页搜索的查询识别和归一化
    • US07974971B2
    • 2011-07-05
    • US12818036
    • 2010-06-17
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F17/30
    • G06F17/30867G06F17/3064
    • A computer-implemented method for processing user entered query data to improve results of a search of pages using a local search database, when searching the internet, is disclosed. The method includes receiving the user entered query data and parsing each word of the query data and segmenting words using a probabilistic dictionary to determine a likelihood that the word is for a particular name. And, associating the particular names with a name tag to create one or more tagged name terms. Then, normalizing each of the tagged name terms and the normalizing including boosting information if found in the local search database and determining proximity between selected ones of the tagged name terms. The method then generates an optimized search query that incorporates normalized terms and operators. The optimized search query being applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 公开了一种用于处理用户输入的查询数据以在搜索互联网时改进使用本地搜索数据库搜索页面的结果的计算机实现的方法。 该方法包括接收用户输入的查询数据和解析查询数据的每个单词并使用概率词典分割单词,以确定单词对于特定名称的可能性。 并且,将特定名称与名称标签相关联以创建一个或多个标记名称术语。 然后,对每个标记的名称术语进行归一化,并且如果在本地搜索数据库中找到,则包括增强信息的归一化,并且确定所选标记的名称术语之间的接近度。 该方法然后生成一个优化的搜索查询,其中包含标准化术语和运算符。 优化的搜索查询被应用于互联网,以响应于输入的查询数据来产生和显示给用户的搜索结果。
    • 5. 发明申请
    • LOCAL QUERY IDENTIFICATION AND NORMALIZATION FOR WEB SEARCH
    • WEB查询的本地查询标识和正常化
    • US20090182729A1
    • 2009-07-16
    • US12015448
    • 2008-01-16
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F7/06
    • G06F17/30867G06F17/3064
    • Computer-implemented methods and systems for processing user entered query data to improve results of a search of pages using a local search database are provided, when searching the internet. The method includes receiving the user entered query data and parsing each word of the query data and examining each word to determine if the word is associated with one of a business name, a city name or a state name. The examining uses probabilistic dictionaries to determine a likelihood that the word is one of the business name, the city name or the state name. Then, associating the words that were determined to be: (i) the business name with a business name tag to create one or more tagged business terms; (ii) the city name with a city name tag to create one or more tagged city terms; and (iii) the state name with a state name tag to create one or more tagged state terms. The method further includes normalizing each of the tagged business terms, the tagged city terms and the tagged state terms. The normalizing includes boosting information if found in the local search database and determining proximity between selected ones of the tagged business, city or state terms. Then, generating an optimized internal search query that incorporates constraints and ranking based on at least the boosting information and the determined proximity between the selected tagged business, city or state terms. The optimized internal search query is applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 当搜索互联网时,提供了用于处理用户输入的查询数据以改进使用本地搜索数据库的页面搜索结果的计算机实现的方法和系统。 该方法包括接收用户输入的查询数据并解析查询数据的每个单词并检查每个单词以确定该单词是否与商务名称,城市名称或州名称之一相关联。 检查使用概率词典来确定该词是商业名称,城市名称或州名称之一的可能性。 然后,将确定为:(i)商业名称与商家名称标签相关联的字词,以创建一个或多个标记的商业条款; (ii)具有城市名称标签的城市名称,以创建一个或多个标记的城市条款; 和(iii)具有状态名称标签的状态名称以创建一个或多个标记状态项。 该方法还包括对每个标记的业务术语,标记的城市术语和标记的状态项进行归一化。 标准化包括在本地搜索数据库中找到增强信息,并确定所标记的业务,城市或州条款之间的接近度。 然后,生成优化的内部搜索查询,该内部搜索查询至少基于提升信息和确定的所选标记的商业,城市或状态条件之间的接近度来结合约束和排序。 优化的内部搜索查询被应用于互联网,以便响应于输入的查询数据而产生并显示给用户的搜索结果。
    • 6. 发明授权
    • Query processing for web search
    • 网页搜索的查询处理
    • US08296288B2
    • 2012-10-23
    • US13175797
    • 2011-07-01
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • Yumao LuNawaaz AhmedFuchun PengMarco Zagha
    • G06F17/30
    • G06F17/30867G06F17/3064
    • A computer-implemented method for processing user entered query data to improve results of a search of pages using a database, when searching the internet, is disclosed. The method includes receiving the user entered query data and parsing each word of the query data and segmenting words using probability to determine a likelihood that the word is for a particular name. And, associating the particular names with a name tag to create one or more tagged name terms. Then, normalizing each of the tagged name terms and the normalizing including boosting information if found in the database and determining proximity between selected ones of the tagged name terms. The method then generates an optimized search query that incorporates normalized terms and operators. The optimized search query being applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
    • 公开了一种用于处理用户输入的查询数据以在搜索互联网时改进使用数据库的页面的搜索结果的计算机实现的方法。 该方法包括接收用户输入的查询数据和解析查询数据的每个单词,并使用概率来分割单词以确定单词用于特定名称的可能性。 并且,将特定名称与名称标签相关联以创建一个或多个标记名称术语。 然后,对每个标记的名称术语进行归一化,并且如果在数据库中找到,则标准化包括增强信息,并确定所选择的标记名称术语之间的接近度。 该方法然后生成一个优化的搜索查询,其中包含标准化术语和运算符。 优化的搜索查询被应用于互联网,以响应于输入的查询数据来产生和显示给用户的搜索结果。