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1. 发明授权

US09002892B2 Systems and methods for trend detection using frequency analysis 有权
标题翻译：使用频率分析进行趋势检测的系统和方法
公开(公告)号：US09002892B2
公开(公告)日：2015-04-07
申请号：US13568851
申请日：2012-08-07
申请人： Daniel Benyamin , Aaron Chu
发明人： Daniel Benyamin , Aaron Chu
IPC分类号： G06F17/30
CPC分类号： G06F17/30613
摘要： Systems and methods for trend detection using frequency analysis in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, trend detection includes generating a discrete time sequence of word counts for a target word using a trend detection device, performing frequency analysis of the discrete time sequence of word counts to determine contributions of frequency components within different frequency ranges to the discrete time sequence of word counts using the trend detection device, and detecting that the target word is a trending keyword based upon at least the frequency analysis of the discrete time sequence of word counts for the target word using the trend detection device.
摘要翻译：公开了根据本发明的实施例的使用频率分析的趋势检测的系统和方法。在本发明的一个实施例中，趋势检测包括使用趋势检测装置产生目标字的字数的离散时间序列，对字计数的离散时间序列执行频率分析，以确定不同频率范围内的频率分量的贡献使用趋势检测装置的字计数的离散时间序列，并且基于至少基于使用趋势检测装置的目标字的字计数的离散时间序列的频率分析来检测目标字是趋势关键词。

2. 发明授权

US08612293B2 Generation of advertising targeting information based upon affinity information obtained from an online social network 有权
标题翻译：基于从在线社交网络获得的亲和度信息来生成广告定位信息
公开(公告)号：US08612293B2
公开(公告)日：2013-12-17
申请号：US13277209
申请日：2011-10-19
申请人： Daniel Benyamin , Aaron Chu , Alex Pollock , Michael Aaron Hall , Arshavir Blackwell
发明人： Daniel Benyamin , Aaron Chu , Alex Pollock , Michael Aaron Hall , Arshavir Blackwell
IPC分类号： G06Q30/00
CPC分类号： G06Q50/01 , G06Q30/0246 , G06Q30/0256
摘要： Systems and methods for automatically generating targeting information for presentation of an offer via an online social network using affinity information collected concerning members of online social networks in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords.
摘要翻译：公开了根据本发明的实施例，通过使用关于在线社交网络的成员收集的亲和性信息，通过在线社交网络自动产生用于呈现报价的定位信息的系统和方法。一个实施例包括使用目标系统对社交网络内的成员简档进行索引，以利用关键词，该目标系统从在线社交网络内的服务器检索关于成员简档和活动的数据，识别使用目标系统对至少一个报价关键字具有亲和力的成员简档; 所述索引，使用所述定位系统和所述索引识别所识别的成员简档具有相似性的附加关键字，基于所识别的附加关键字确定针对所述受众的一组关键字，以及针对所述特定提议向广告成员呈现广告使用在线社交网络和定位关键字的在线社交网络。

3. 发明申请

US20120158489A1 GENERATION OF ADVERTISING TARGETING INFORMATION BASED UPON AFFINITY INFORMATION OBTAINED FROM AN ONLINE SOCIAL NETWORK 有权
标题翻译：根据在线社交网络获得的广告信息生成广告目标信息
公开(公告)号：US20120158489A1
公开(公告)日：2012-06-21
申请号：US13277209
申请日：2011-10-19
申请人： Daniel Benyamin , Aaron Chu , Alex Pollock , Michael Aaron Hall , Arshavir Blackwell
发明人： Daniel Benyamin , Aaron Chu , Alex Pollock , Michael Aaron Hall , Arshavir Blackwell
IPC分类号： G06Q30/02
CPC分类号： G06Q50/01 , G06Q30/0246 , G06Q30/0256
摘要： Systems and methods for automatically generating targeting information for presentation of an offer via an online social network using affinity information collected concerning members of online social networks in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords.
摘要翻译：公开了根据本发明的实施例，通过使用关于在线社交网络的成员收集的亲和性信息，通过在线社交网络自动产生用于呈现报价的定位信息的系统和方法。一个实施例包括使用目标系统对社交网络内的成员简档进行索引，以利用关键词，该目标系统从在线社交网络内的服务器检索关于成员简档和活动的数据，识别使用目标系统对至少一个报价关键字具有亲和力的成员简档; 所述索引，使用所述定位系统和所述索引识别所识别的成员简档具有相似性的附加关键字，基于所识别的附加关键字确定针对所述受众的一组关键字，以及针对所述特定提议向广告成员呈现广告使用在线社交网络和定位关键字的在线社交网络。

4. 发明申请

US20100293170A1 SOCIAL NETWORK MESSAGE CATEGORIZATION SYSTEMS AND METHODS 有权
标题翻译：社会网络信息分类系统和方法
公开(公告)号：US20100293170A1
公开(公告)日：2010-11-18
申请号：US12781799
申请日：2010-05-17
申请人： Michael Aaron Hall , Daniel Benyamin , Aaron Chu
发明人： Michael Aaron Hall , Daniel Benyamin , Aaron Chu
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/30707 , H04L51/32
摘要： Systems and methods of identifying and categorizing social network messages that are relevant to selected categories and text terms are provided. The frequency of text terms appearing in social network messages are calculated for multiple categories. Based on the calculated text term frequency, social network messages can be identified and/or categorized that match a provided set of text terms. Selecting and/or associating text terms and categories are determined by repeatedly analyzing social network messages.
摘要翻译：提供了与所选类别和文本术语相关的识别和分类社交网络消息的系统和方法。社交网络消息中显示的文本字词的频率是针对多个类别计算的。基于所计算的文本术语频率，可以将社交网络消息识别和/或分类与提供的一组文本术语相匹配。通过重复分析社交网络消息来确定选择和/或关联文本术语和类别。

5. 发明授权

US08615434B2 Systems and methods for automatically generating campaigns using advertising targeting information based upon affinity information obtained from an online social network 有权
标题翻译：基于从在线社交网络获得的亲和度信息，使用广告定位信息自动生成广告系列的系统和方法
公开(公告)号：US08615434B2
公开(公告)日：2013-12-24
申请号：US13331950
申请日：2011-12-20
申请人： Daniel Benyamin , Michael Aaron Hall , Aaron Chu , Arshavir Blackwell
发明人： Daniel Benyamin , Michael Aaron Hall , Aaron Chu , Arshavir Blackwell
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0269 , G06Q50/01
摘要： Systems and methods for automatically targeting advertising on an online social network using affinity information collected concerning members of one or more online social networks in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a targeting server configured to obtain data from at least one server that forms part of an online social network, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network associated with the member profiles. In addition, the targeting server is configured to detect affinities between a member profile and keywords based upon data describing activities associated with the member profile and to provide the targeting keywords to a server that is part of the online social network so that the online social network displays the specific offer to online social network members targeted using the targeting keywords.
摘要翻译：公开了使用根据本发明实施例收集的关于一个或多个在线社交网络的成员的亲和性信息在线社交网络上自动定向广告的系统和方法。本发明的一个实施例包括目标服务器，其被配置为从构成在线社交网络的一部分的至少一个服务器获取数据，其中所获得的数据描述在线社交网络的成员的成员简档和在线社交网络上执行的活动与会员资料。此外，目标服务器被配置为基于描述与该成员简档相关联的活动的数据来检测成员简档和关键字之间的亲和性，并且将定位关键字提供给作为在线社交网络一部分的服务器，使得在线社交网络显示使用定位关键字定位的在线社交网络成员的具体优惠。

6. 发明申请

US20130036107A1 SYSTEMS AND METHODS FOR TREND DETECTION USING FREQUENCY ANALYSIS 有权
标题翻译：使用频率分析的趋势检测系统和方法
公开(公告)号：US20130036107A1
公开(公告)日：2013-02-07
申请号：US13568851
申请日：2012-08-07
申请人： Daniel Benyamin , Aaron Chu
发明人： Daniel Benyamin , Aaron Chu
IPC分类号： G06F17/30
CPC分类号： G06F17/30613
摘要： Systems and methods for trend detection using frequency analysis in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, trend detection includes generating a discrete time sequence of word counts for a target word using a trend detection device, performing frequency analysis of the discrete time sequence of word counts to determine contributions of frequency components within different frequency ranges to the discrete time sequence of word counts using the trend detection device, and detecting that the target word is a trending keyword based upon at least the frequency analysis of the discrete time sequence of word counts for the target word using the trend detection device.
摘要翻译：公开了根据本发明的实施例的使用频率分析的趋势检测的系统和方法。在本发明的一个实施例中，趋势检测包括使用趋势检测装置产生目标字的字数的离散时间序列，对字计数的离散时间序列执行频率分析，以确定不同频率范围内的频率分量的贡献使用趋势检测装置的字计数的离散时间序列，并且基于至少基于使用趋势检测装置的目标字的字计数的离散时间序列的频率分析来检测目标字是趋势关键词。

7. 发明授权

US08504550B2 Social network message categorization systems and methods 有权
标题翻译：社会网络消息分类系统和方法
公开(公告)号：US08504550B2
公开(公告)日：2013-08-06
申请号：US12781799
申请日：2010-05-17
申请人： Michael Aaron Hall , Daniel Benyamin , Aaron Chu
发明人： Michael Aaron Hall , Daniel Benyamin , Aaron Chu
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30705 , G06F17/30707 , H04L51/32
摘要： Systems and methods of identifying and categorizing social network messages that are relevant to selected categories and text terms are provided. The frequency of text terms appearing in social network messages are calculated for multiple categories. Based on the calculated text term frequency, social network messages can be identified and/or categorized that match a provided set of text terms. Selecting and/or associating text terms and categories are determined by repeatedly analyzing social network messages.
摘要翻译：提供了与所选类别和文本术语相关的识别和分类社交网络消息的系统和方法。社交网络消息中显示的文本字词的频率是针对多个类别计算的。基于所计算的文本术语频率，可以将社交网络消息识别和/或分类与提供的一组文本术语相匹配。通过重复分析社交网络消息来确定选择和/或关联文本术语和类别。

8. 发明申请

US20110145348A1 SYSTEMS AND METHODS FOR IDENTIFYING TERMS RELEVANT TO WEB PAGES USING SOCIAL NETWORK MESSAGES 有权
标题翻译：使用社会网络信息识别与网页相关的条款的系统和方法
公开(公告)号：US20110145348A1
公开(公告)日：2011-06-16
申请号：US12966921
申请日：2010-12-13
申请人： Daniel Benyamin , Aaron Chu , Michael Hall
发明人： Daniel Benyamin , Aaron Chu , Michael Hall
IPC分类号： G06F15/16
CPC分类号： G06F17/30864 , G06Q10/10 , H04L51/32
摘要： Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network.
摘要翻译：描述了用于检索响应于搜索查询的社交网络消息和/或网页的系统和方法。本发明的一个实施例包括使用网络和消息服务器系统从网页的内容的至少一部分生成单词列表，基于使用web和消息服务器系统的单词列表生成相关术语的初始列表，使用基于相关术语的初始列表发布到至少一个社交网络的消息来识别附加相关术语，以及通过使用网络和服务器系统来创建相关术语的更新列表，以将相关术语的初始列表中的术语与附加的使用发布至少一个社交网络的信息确定相关条款。

9. 发明授权

US08554854B2 Systems and methods for identifying terms relevant to web pages using social network messages 有权
标题翻译：使用社交网络消息识别与网页相关的术语的系统和方法
公开(公告)号：US08554854B2
公开(公告)日：2013-10-08
申请号：US12966921
申请日：2010-12-13
申请人： Daniel Benyamin , Aaron Chu , Michael Hall
发明人： Daniel Benyamin , Aaron Chu , Michael Hall
IPC分类号： G06F15/16
CPC分类号： G06F17/30864 , G06Q10/10 , H04L51/32
摘要： Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network.
摘要翻译：描述了用于检索响应于搜索查询的社交网络消息和/或网页的系统和方法。本发明的一个实施例包括使用网络和消息服务器系统从网页的内容的至少一部分生成单词列表，基于使用web和消息服务器系统的单词列表生成相关术语的初始列表，使用基于相关术语的初始列表发布到至少一个社交网络的消息来识别附加相关术语，以及通过使用网络和服务器系统来创建相关术语的更新列表，以将相关术语的初始列表中的术语与附加的使用发布至少一个社交网络的信息确定相关条款。

10. 发明申请

US20120158518A1 SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING CAMPAIGNS USING ADVERTISING TARGETING INFORMATION BASED UPON AFFINITY INFORMATION OBTAINED FROM AN ONLINE SOCIAL NETWORK 有权
标题翻译：使用基于从线上社交网络获取的关键信息的广告指标信息自动生成营销的系统和方法
公开(公告)号：US20120158518A1
公开(公告)日：2012-06-21
申请号：US13331950
申请日：2011-12-20
申请人： Daniel Benyamin , Michael Aaron Hall , Aaron Chu , Arshavir Blackwell
发明人： Daniel Benyamin , Michael Aaron Hall , Aaron Chu , Arshavir Blackwell
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0269 , G06Q50/01
摘要： Systems and methods for automatically targeting advertising on an online social network using affinity information collected concerning members of one or more online social networks in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a targeting server configured to obtain data from at least one server that forms part of an online social network, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network associated with the member profiles. In addition, the targeting server is configured to detect affinities between a member profile and keywords based upon data describing activities associated with the member profile and to provide the targeting keywords to a server that is part of the online social network so that the online social network displays the specific offer to online social network members targeted using the targeting keywords.
摘要翻译：公开了使用根据本发明实施例收集的关于一个或多个在线社交网络的成员的亲和性信息在线社交网络上自动定向广告的系统和方法。本发明的一个实施例包括目标服务器，其被配置为从构成在线社交网络的一部分的至少一个服务器获取数据，其中所获得的数据描述在线社交网络的成员的成员简档和在线社交网络上执行的活动与会员资料。此外，目标服务器被配置为基于描述与该成员简档相关联的活动的数据来检测成员简档和关键字之间的亲和性，并且将定位关键字提供给作为在线社交网络一部分的服务器，使得在线社交网络显示使用定位关键字定位的在线社交网络成员的具体优惠。

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