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

US07996398B2 Identifying related search terms based on search behaviors of users 有权
标题翻译：根据用户的搜索行为识别相关搜索词
公开(公告)号：US07996398B2
公开(公告)日：2011-08-09
申请号：US12907405
申请日：2010-10-19
申请人： Ruben E. Ortega , Dwayne E. Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
发明人： Ruben E. Ortega , Dwayne E. Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
IPC分类号： G06F17/30
CPC分类号： G06F17/2725 , G06F17/273 , G06F17/276 , G06F17/3064 , G06F17/30672 , G06F17/30864 , G06F17/30943 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943
摘要： A system is disclosed that identifies related search terms by performing a term co-occurrence analysis of search query submissions of users. The system may give different amounts of weight to different search query submissions based, for example, on whether subsequent user actions reveal that particular searches were successful. The system may use the identified related search terms to correct spelling errors in search queries received from users.
摘要翻译：公开了通过执行用户的搜索查询提交的术语共现分析来识别相关搜索词的系统。例如，基于随后的用户动作是否显示特定的搜索是成功的，系统可以对不同的搜索查询提交给予不同的权重量。系统可以使用所识别的相关搜索词来纠正从用户接收的搜索查询中的拼写错误。

2. 发明授权

US6006225A Refining search queries by the suggestion of correlated terms from prior searches 有权
标题翻译：根据先前搜索的相关词语的建议来优化搜索查询
公开(公告)号：US6006225A
公开(公告)日：1999-12-21
申请号：US145360
申请日：1998-09-01
申请人： Dwayne E. Bowman , Ruben E. Ortega , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
发明人： Dwayne E. Bowman , Ruben E. Ortega , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
IPC分类号： G06F17/30
CPC分类号： G06F17/3064 , G06F17/30395 , G06F17/30398 , G06F17/30646 , G06F17/30864 , Y10S707/99932 , Y10S707/99934 , Y10S707/99935
摘要： A search engine is disclosed which suggests related terms to the user to allow the user to refine a search. The related terms are generated using query term correlation data which reflects the frequencies with which specific terms have previously appeared within the same query. The correlation data is generated and stored in a look-up table using an off-line process which parses a query log file. The table is regenerated periodically from the most recent query submissions (e.g., the last two weeks of query submissions), and thus strongly reflects the current preferences of users. Each related term is presented to the user via a respective hyperlink which can be selected by the user to submit a modified query. In one embodiment, the related terms are added to and selected from the table so as to guarantee that the modified queries will not produce a NULL query result.
摘要翻译：公开了一种搜索引擎，其提供与用户相关的术语以允许用户改进搜索。使用查询词相关数据生成相关术语，该数据反映了先前在同一查询中出现特定术语的频率。使用解析查询日志文件的离线进程生成相关数据并将其存储在查找表中。从最近的查询提交（例如，最近两周的查询提交）周期性地重新生成表，并且因此强烈地反映了用户的当前偏好。每个相关术语通过用户可以选择提交修改后的查询的相应超链接呈现给用户。在一个实施例中，相关术语被添加到表中并从表中选择，以便保证修改的查询不会产生NULL查询结果。

3. 发明申请

US20110035370A1 IDENTIFYING RELATED SEARCH TERMS BASED ON SEARCH BEHAVIORS OF USERS 有权
标题翻译：基于用户搜索行为识别相关搜索条款
公开(公告)号：US20110035370A1
公开(公告)日：2011-02-10
申请号：US12907405
申请日：2010-10-19
申请人： Ruben E. Ortega , Dwayne E. Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
发明人： Ruben E. Ortega , Dwayne E. Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
IPC分类号： G06F17/30
CPC分类号： G06F17/2725 , G06F17/273 , G06F17/276 , G06F17/3064 , G06F17/30672 , G06F17/30864 , G06F17/30943 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943
摘要： A system is disclosed that identifies related search terms by performing a term co-occurrence analysis of search query submissions of users. The system may give different amounts of weight to different search query submissions based, for example, on whether subsequent user actions reveal that particular searches were successful. The system may use the identified related search terms to correct spelling errors in search queries received from users.
摘要翻译：公开了通过执行用户的搜索查询提交的术语共现分析来识别相关搜索词的系统。例如，基于随后的用户动作是否显示特定的搜索是成功的，系统可以对不同的搜索查询提交给予不同的权重量。系统可以使用所识别的相关搜索词来纠正从用户接收的搜索查询中的拼写错误。

4. 发明授权

US06169986A System and method for refining search queries 有权
标题翻译：用于精简搜索查询的系统和方法
公开(公告)号：US06169986A
公开(公告)日：2001-01-02
申请号：US09411441
申请日：1999-10-01
申请人： Dwayne E. Bowman , Ruben E. Ortega , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
发明人： Dwayne E. Bowman , Ruben E. Ortega , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
IPC分类号： G06F1730
CPC分类号： G06F17/3064 , G06F17/30395 , G06F17/30398 , G06F17/30646 , G06F17/30864 , Y10S707/99932 , Y10S707/99934 , Y10S707/99935
摘要： A search engine is disclosed which suggests related terms to the user to allow the user to refine a search. The related terms are generated using query term correlation data which reflects the frequencies with which specific terms have previously appeared within the same query. The correlation data is generated and stored in a look-up table using an off-line process which parses a query log file. The table is regenerated periodically from the most recent query submissions (e.g., the last two weeks of query submissions), and thus strongly reflects the current preferences of users. Each related term is presented to the user via a respective hyperlink which can be selected by the user to submit a modified query. In one embodiment, the related terms are added to and selected from the table so as to guarantee that the modified queries will not produce a NULL query result.
摘要翻译：公开了一种搜索引擎，其提供与用户相关的术语以允许用户改进搜索。使用查询词相关数据生成相关术语，该数据反映了先前在同一查询中出现特定术语的频率。使用解析查询日志文件的离线进程生成相关数据并将其存储在查找表中。从最近的查询提交（例如，最近两周的查询提交）周期性地重新生成表，并且因此强烈地反映了用户的当前偏好。每个相关术语通过用户可以选择提交修改后的查询的相应超链接呈现给用户。在一个实施例中，相关术语被添加到表中并从表中选择，以便保证修改的查询不会产生NULL查询结果。

5. 发明授权

US06144958A System and method for correcting spelling errors in search queries 失效
标题翻译：用于纠正搜索查询中的拼写错误的系统和方法
公开(公告)号：US06144958A
公开(公告)日：2000-11-07
申请号：US115662
申请日：1998-07-15
申请人： Ruben Ernesto Ortega , Dwayne Edward Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
发明人： Ruben Ernesto Ortega , Dwayne Edward Bowman , Michael L. Hamrick , Joel R. Spiegel , Timothy R. Kohn
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/2725 , G06F17/273 , G06F17/276 , G06F17/3064 , G06F17/30672 , G06F17/30864 , G06F17/30943 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943
摘要： A search engine is disclosed that uses correlations between search terms to correct misspelled terms within search queries. The correlations are based at least in-part on historical query submissions to the search engine. Preferably, the correlations reflect the frequencies with which the search terms have historically appeared together within the same query, and are stored within a correlation table using related terms lists. In one embodiment, the correlation table is generated periodically from the M (e.g. 10) most recent days of entries in a query log, and thus reflects the current preferences of users. In operation, when a query that includes both matching and non-matching search terms is submitted to the search engine, a spelling correction process accesses the correlation table to generate a list of terms that are deemed to be related to the matching term(s). The spellings of these related terms are then compared to the spelling of each non-matching term using a spelling comparison function that compares two character strings and generates a similarity score. If a suitable replacement is found for a given non-matching term, the non-matching term is replaced with the similar related term. The modified query is then used to perform the search, and the user is notified of the modification(s) made to the query. In the disclosed embodiment, the search engine is used on the Web site of an online merchant to assist users in locating book titles, music titles, and other types of products.
摘要翻译：公开了一种搜索引擎，其使用搜索词之间的相关性来纠正搜索查询中的拼错词。相关性至少部分地基于向搜索引擎提交的历史查询。优选地，相关性反映搜索项历史上在同一查询中一起出现的频率，并且使用相关术语列表存储在相关表中。在一个实施例中，从查询日志中的M（例如10）最近几天的周期性周期性地生成相关表，并且因此反映了用户的当前偏好。在操作中，当将包括匹配和不匹配搜索项的查询提交给搜索引擎时，拼写校正处理访问相关表以生成被视为与匹配项相关的术语列表，。然后将这些相关术语的拼写与使用比较两个字符串并产生相似性分数的拼写比较函数与每个不匹配项的拼写进行比较。如果为给定的非匹配项找到合适的替换，则不匹配项替换为类似的相关术语。然后使用修改的查询来执行搜索，并且向用户通知对查询进行的修改。在所公开的实施例中，搜索引擎用于在线商家的网站上，以帮助用户定位书名，音乐标题和其他类型的产品。

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