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1. 发明授权

US08903845B2 Systems and methods for providing search assistance technologies based on user self-efficacy and search frustration 有权
标题翻译：基于用户自我效能和搜索挫折提供搜索辅助技术的系统和方法
公开(公告)号：US08903845B2
公开(公告)日：2014-12-02
申请号：US12978261
申请日：2010-12-23
申请人： Henry Feild , Omer Emre Velipasaoglu , Benoit Dumoulin , Elizabeth F. Churchill , Rosemary Jones , Jeffrey Bardzell
发明人： Henry Feild , Omer Emre Velipasaoglu , Benoit Dumoulin , Elizabeth F. Churchill , Rosemary Jones , Jeffrey Bardzell
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The present invention is directed towards systems and methods for providing search assistance technologies based on a user's search self-efficacy and search frustration. The method according to one embodiment of the present invention comprises receiving a search query from a user. The method then calculates the user's search self-efficacy and calculates the user's frustration with the current information task. The method then identifies a plurality of search assistance technologies based on the user's search self-efficacy and frustration. Finally, the method provides a search engine results page comprising a plurality of search results and the identified plurality of search assistance technologies.
摘要翻译：本发明涉及用于基于用户的搜索自我效能和搜索挫折来提供搜索辅助技术的系统和方法。根据本发明的一个实施例的方法包括从用户接收搜索查询。然后，该方法计算用户的搜索自我效能，并计算用户对当前信息任务的沮丧。该方法然后基于用户的搜索自我效能感和沮丧来识别多个搜索辅助技术。最后，该方法提供包括多个搜索结果和所识别的多个搜索辅助技术的搜索引擎结果页面。

2. 发明申请

US20110035345A1 AUTOMATIC CLASSIFICATION OF SEGMENTED PORTIONS OF WEB PAGES 有权
标题翻译：网页分类部分的自动分类
公开(公告)号：US20110035345A1
公开(公告)日：2011-02-10
申请号：US12538776
申请日：2009-08-10
申请人： Lei Duan , Fan Li , Srinivas Vadrevu , Emre Velipasaoglu , Swapnil Hajela , Deepayan Chakrabarti
发明人： Lei Duan , Fan Li , Srinivas Vadrevu , Emre Velipasaoglu , Swapnil Hajela , Deepayan Chakrabarti
IPC分类号： G06F15/18 , G06F7/06 , G06F17/30
CPC分类号： G06F17/30598 , G06F15/18 , G06F17/30873 , G06K9/6256 , G06N5/04 , G06N99/005 , G06Q10/10
摘要： Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems.
摘要翻译：提供了可用于对网页的分段部分进行分类和索引并提供用于信息提取和/或信息检索系统的相关信息的示例性方法和装置。

3. 发明授权

US07389306B2 System and method for processing semi-structured business data using selected template designs 失效
标题翻译：使用所选模板设计处理半结构业务数据的系统和方法
公开(公告)号：US07389306B2
公开(公告)日：2008-06-17
申请号：US10895624
申请日：2004-07-20
申请人： Hinrich H. Schuetze , Chia-Hao Yu , Omer Emre Velipasaoglu , Stan Stukov
发明人： Hinrich H. Schuetze , Chia-Hao Yu , Omer Emre Velipasaoglu , Stan Stukov
IPC分类号： G06F17/00
CPC分类号： G06F17/3092 , Y10S707/944 , Y10S707/954 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： A method for processing semi-structured data. The method includes receiving semi-structured data into a first format from a real business process. Preferably, the semi-structured data are machine generated. The method includes tokenizing the semi-structured data into a second format and storing the semi-structured data in the second format into one or more memories and clustering the tokenized data to form a plurality of clusters. The method also includes identifying a selected low frequency term in each of the clusters, and processing at least two of the clusters and the associated selected low frequency terms to form a single template for the at least two of the clusters. In a preferred embodiment, the method replaces the selected low frequency term with a wild card character.
摘要翻译：一种处理半结构数据的方法。该方法包括从实际业务流程接收半结构化数据到第一格式。优选地，半结构化数据是机器生成的。该方法包括将半结构化数据标记为第二格式，并将第二格式的半结构化数据存储到一个或多个存储器中，并将令牌化数据聚类以形成多个簇。该方法还包括识别每个群集中的选定的低频项，以及处理群集中的至少两个和相关联的所选低频项，以形成用于至少两个簇的单个模板。在优选实施例中，该方法用通配符替换所选择的低频项。

4. 发明授权

US08918389B2 Dynamically altered search assistance 有权
标题翻译：动态更改搜索帮助
公开(公告)号：US08918389B2
公开(公告)日：2014-12-23
申请号：US13182439
申请日：2011-07-13
申请人： Omer Emre Velipasaoglu
发明人： Omer Emre Velipasaoglu
IPC分类号： G06F17/30
CPC分类号： G06F17/3097
摘要： Search-engine software displays a group of search results in a graphical user interface (GUI) for a search engine. The search-engine software captures positive feedback and negative feedback as to the search results from a user. Then the search-engine software determines a collective aboutness signature for the search results associated with the positive feedback and a collective aboutness signature for search results associated with the negative feedback. The search-engine software obtains a score of similarity to each of the collective aboutness signatures for a representation of each query suggestion in a group of query suggestions. Then the search-engine software separates the scored query suggestions into two or more groups, based on the similarity scores, and displays query suggestions from the groups in the GUI.
摘要翻译：搜索引擎软件在搜索引擎的图形用户界面（GUI）中显示一组搜索结果。搜索引擎软件捕获来自用户的搜索结果的正反馈和负反馈。然后，搜索引擎软件确定与正反馈相关联的搜索结果的集体关于性签名，以及与负反馈相关联的搜索结果的集体约性签名。搜索引擎软件获得与每个集体约性签名相似度的得分，用于在一组查询建议中的每个查询建议的表示。然后，搜索引擎软件基于相似性分数将得分查询建议分成两个或更多个组，并从GUI中显示组中的查询建议。

5. 发明申请

US20120296927A1 SYSTEM AND METHOD FOR CONTEXTUALIZING QUERY INSTRUCTIONS USING USER'S RECENT SEARCH HISTORY 有权
标题翻译：使用用户最近搜索历史来进行查询指令的使用的系统和方法
公开(公告)号：US20120296927A1
公开(公告)日：2012-11-22
申请号：US13109274
申请日：2011-05-17
申请人： Omer Emre Velipasaoglu , Umut Ozertem , Alpa Jain
发明人： Omer Emre Velipasaoglu , Umut Ozertem , Alpa Jain
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/3064 , G06F17/30867
摘要： Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.
摘要翻译：公开了一种用于基于用户先前输入的搜索查询向用户提供搜索建议的系统和方法。计算设备存储全局搜索建议。计算设备通过网络从由用户操作的用户计算机接收形成搜索查询的一部分的一个或多个字母数字字符。计算设备基于用户的搜索历史从全球搜索建议集确定搜索查询的部分的搜索建议，用户的搜索历史包括用户在预定时段内输入的多个搜索查询的时间。计算设备向用户计算机发送用户计算机显示的搜索建议。

6. 发明授权

US08255793B2 Automatic visual segmentation of webpages 有权
标题翻译：网页自动视觉分割
公开(公告)号：US08255793B2
公开(公告)日：2012-08-28
申请号：US11971160
申请日：2008-01-08
申请人： Deepayan Chakrabarti , Manav Ratan Mital , Swapnil Hajela , Emre Velipasaoglu
发明人： Deepayan Chakrabarti , Manav Ratan Mital , Swapnil Hajela , Emre Velipasaoglu
IPC分类号： G06N3/00
CPC分类号： G06F17/2229 , G06F17/2247 , G06F17/30707 , G06F17/30864
摘要： To provide valuable information regarding a webpage, the webpage must be divided into distinct semantically coherent segments for analysis. A set of heuristics allow a segmentation algorithm to identify an optimal number of segments for a given webpage or any portion thereof more accurately. A first heuristic estimates the optimal number of segments for any given webpage or portion thereof. A second heuristic coalesces segments where the number of segments identified far exceeds the optimal number recommended. A third heuristic coalesces segments corresponding to a portion of a webpage with much unused whitespace and little content. A fourth heuristic coalesces segments of nodes that have a recommended number of segments below a certain threshold into segments of other nodes. A fifth heuristic recursively analyzes and splits segments that correspond to webpage portions surpassing a certain threshold portion size.
摘要翻译：为了提供关于网页的有价值的信息，网页必须被划分成不同的语义上相关的分段用于分析。一组启发式允许分割算法更精确地识别给定网页或其任何部分的最佳段数。第一启发式估计任何给定网页或其部分的最佳段数。第二个启发式聚合段，其中识别的段数远远超过推荐的最优数。第三个启发式聚合对应于网页的一部分的段，其中使用了许多未使用的空白和少量的内容。第四个启发式将具有低于某个阈值的推荐数量的节点段合并成其他节点的段。第五个启发式递归地分析和分割对应于超过某个阈值部分大小的网页部分的分段。

7. 发明授权

US08255414B2 Search assist powered by session analysis 有权
标题翻译：搜索辅助由会话分析
公开(公告)号：US08255414B2
公开(公告)日：2012-08-28
申请号：US12882974
申请日：2010-09-15
申请人： Chi-Hoon Lee , Eric Crestan , Jiefeng Shen , Richard Allan Kasperski , Su-Lin Wu , Omer Emre Velipasaoglu , Benoit Dumoulin
发明人： Chi-Hoon Lee , Eric Crestan , Jiefeng Shen , Richard Allan Kasperski , Su-Lin Wu , Omer Emre Velipasaoglu , Benoit Dumoulin
IPC分类号： G06F17/30
CPC分类号： G06F17/3064
摘要： One embodiment selects from a set of query-suggestion pairs a first query and a subset of query-suggestion pairs that each has the first query as its query; computes a Log Likelihood Ratio (LLR) value for each query-suggestion pair from the subset of query-suggestion pairs; ranks the subset of query-suggestion pairs according to their respective LLR values; removes from the subset of query-suggestion pairs all query-suggestion pairs whose LLR values are below a predetermined LLR threshold; computes a Pointwise Mutual Information (PMI) value for each remaining query suggestion pair from the subset of query-suggestion pairs; removes from the subset of query-suggestion pairs all query-suggestion pairs whose PMI values are below a predetermine PMI threshold; and constructs a ranked set of suggestions for the first query, wherein the ranked set of suggestions comprises one or more suggestions of the remaining query-suggestion pairs from the subset of query-suggestion pairs.
摘要翻译：一个实施例从一组查询建议对中选择第一查询和每个具有第一查询作为其查询的查询建议对的子集; 从查询建议对的子集计算每个查询建议对的对数似然比（LLR）值; 根据各自的LLR值对查询建议对的子集进行排序; 从查询建议对的子集中删除其LLR值低于预定LLR阈值的所有查询建议对; 从查询建议对的子集计算每个剩余查询建议对的点向相互信息（PMI）值; 从查询建议对的子集中删除其PMI值低于预定PMI阈值的所有查询建议对; 并且针对第一查询构建排序的建议集合，其中排名的建议集包括来自查询建议对的子集的剩余查询建议对的一个或多个建议。

8. 发明申请

US20090177959A1 AUTOMATIC VISUAL SEGMENTATION OF WEBPAGES 有权
标题翻译：自动视觉分割
公开(公告)号：US20090177959A1
公开(公告)日：2009-07-09
申请号：US11971160
申请日：2008-01-08
申请人： DEEPAYAN CHAKRABARTI , Manav Ratan Mital , Swapnil Hajela , Emre Velipasaoglu
发明人： DEEPAYAN CHAKRABARTI , Manav Ratan Mital , Swapnil Hajela , Emre Velipasaoglu
IPC分类号： G06F17/21
CPC分类号： G06F17/2229 , G06F17/2247 , G06F17/30707 , G06F17/30864
摘要： To provide valuable information regarding a webpage, the webpage must be divided into distinct semantically coherent segments for analysis. A set of heuristics allow a segmentation algorithm to identify an optimal number of segments for a given webpage or any portion thereof more accurately. A first heuristic estimates the optimal number of segments for any given webpage or portion thereof. A second heuristic coalesces segments where the number of segments identified far exceeds the optimal number recommended. A third heuristic coalesces segments corresponding to a portion of a webpage with much unused whitespace and little content. A fourth heuristic coalesces segments of nodes that have a recommended number of segments below a certain threshold into segments of other nodes. A fifth heuristic recursively analyzes and splits segments that correspond to webpage portions surpassing a certain threshold portion size.
摘要翻译：为了提供关于网页的有价值的信息，网页必须被划分成不同的语义上相关的分段用于分析。一组启发式允许分割算法更精确地识别给定网页或其任何部分的最佳段数。第一启发式估计任何给定网页或其部分的最佳段数。第二个启发式聚合段，其中识别的段数远远超过推荐的最优数。第三个启发式聚合对应于网页的一部分的段，其中使用了许多未使用的空白和少量的内容。第四个启发式将具有低于某个阈值的推荐数量的节点段合并成其他节点的段。第五个启发式递归地分析和分割对应于超过某个阈值部分大小的网页部分的分段。

9. 发明申请

US20130110863A1 ASSISTED SEARCHING 有权
标题翻译：辅助搜索
公开(公告)号：US20130110863A1
公开(公告)日：2013-05-02
申请号：US13286204
申请日：2011-10-31
申请人： Larry Lai , Emre Velipasaoglu , David (Ciemo) Ciemiewicz
发明人： Larry Lai , Emre Velipasaoglu , David (Ciemo) Ciemiewicz
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30967
摘要： Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.
摘要翻译：关于辅助搜索结果公开了示例系统，方法，装置或制品等。

10. 发明申请

US20120296743A1 Method and System for Personalized Search Suggestions 审中-公开
标题翻译：个性化搜索建议的方法和系统
公开(公告)号：US20120296743A1
公开(公告)日：2012-11-22
申请号：US13111058
申请日：2011-05-19
申请人： Omer Emre Velipasaoglu , Umut Ozertem
发明人： Omer Emre Velipasaoglu , Umut Ozertem
IPC分类号： G06Q30/00 , G06F17/30 , G06Q20/00 , G06F7/00
CPC分类号： G06Q30/0251 , G06F16/9535
摘要： Method, system, and programs for providing personalized suggest-as-you-type suggestions in response to a user search query wherein the personalized query suggestions are based on the user's past interactions with the system. The system is able to identify frequent queries issued by the user that result in the user clicking on the same universal resource locator.
摘要翻译：方法，系统和程序，用于响应于用户搜索查询提供个性化的建议型建议，其中个性化查询建议基于用户与系统的过去交互。系统能够识别用户发出的频繁查询，导致用户点击相同的通用资源定位器。

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