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1. 发明申请

US20100131187A1 POI RECOMMENDATION APPARATUS AND METHODS, AND STORAGE MEDIA 审中-公开
标题翻译： POI推荐设备和方法以及存储介质
公开(公告)号：US20100131187A1
公开(公告)日：2010-05-27
申请号：US12334577
申请日：2008-12-15
申请人： Wei-Shen Lai , Chia-Chun Shih , Chang-Tai Hsieh
发明人： Wei-Shen Lai , Chia-Chun Shih , Chang-Tai Hsieh
IPC分类号： G01C21/00 , G06F17/30 , G06F7/06
CPC分类号： G01C21/32
摘要： The invention discloses a POI recommendation apparatus comprising a database and a POI recommendation module. The database provides a plurality of predetermined POIs, each having popularity information corresponding to a time period. The POI recommendation module finds out a recommended POI corresponding to the time period from the predetermined POIs according to the popularity information, and transmits the recommended POI to an electronic device.
摘要翻译：本发明公开了一种POI推荐装置，包括数据库和POI推荐模块。数据库提供多个预定的POI，每个POI具有对应于时间段的流行度信息。 POI推荐模块根据流行度信息找出与预定POI相对应的时间段的推荐POI，并将推荐的POI发送到电子设备。

2. 发明申请

US20110246486A1 Methods and Systems for Extracting Domain Phrases 审中-公开
标题翻译：提取域短语的方法和系统
公开(公告)号：US20110246486A1
公开(公告)日：2011-10-06
申请号：US12900326
申请日：2010-10-07
申请人： Ting-Chun Peng , Chia-Chun Shih , Wen-Tai Hsieh
发明人： Ting-Chun Peng , Chia-Chun Shih , Wen-Tai Hsieh
IPC分类号： G06F17/30
CPC分类号： G06F17/2775
摘要： Methods and systems for extracting domain phrases are provided. First, a domain phrase database including a plurality of domain phrases is provided. For a candidate phrase, it is determined whether the candidate phrase is a domain phrase according to an occurrence condition of at least one part of the candidate phrase in the domain phrases of the domain phrase database and the occurrence condition of the at least one part of the candidate phrase at different relative positions in respective domain phrases in respective domain phrases.
摘要翻译：提供了提取域短语的方法和系统。首先，提供包括多个域短语的域短语数据库。对于候选短语，根据域短语数据库的域短语中的候选短语的至少一部分的出现条件和至少一部分的出现条件来确定候选短语是否是域短语在各个域短语中各个域短语中的不同相对位置处的候选短语。

3. 发明申请

US20080103721A1 Systems and methods for measuring behavior characteristics 有权
标题翻译：测量行为特征的系统和方法
公开(公告)号：US20080103721A1
公开(公告)日：2008-05-01
申请号：US11641705
申请日：2006-12-20
申请人： Tse-Ming Tsai , Chia-Chun Shih
发明人： Tse-Ming Tsai , Chia-Chun Shih
IPC分类号： G06F19/00 , G06F17/40 , G06F17/10
CPC分类号： G06Q10/00
摘要： Systems and methods for measuring behavior characteristics. For at least one specific user, a first concern score for respective key terms is calculated according to use frequency of respective key terms of network content corresponding to the specific user and all users. A first relation matrix for at least one specific key term is calculated according to at least two users corresponding to respective interaction behaviors between the key terms and a type weighting corresponding to respective interaction behaviors. A first interaction score for the specific user regarding the specific key term is calculated according to the first relation matrix. A first characteristic score for the specific user regarding the specific key term is calculated according to the first concern score and the first interaction score.
摘要翻译：测量行为特征的系统和方法。对于至少一个特定用户，根据与特定用户和所有用户对应的网络内容的各个关键词的使用频率来计算各个关键词的第一关注分数。根据关键词之间的相应交互行为对应的至少两个用户和对应于各个交互行为的类型加权，计算至少一个特定关键词的第一关系矩阵。根据第一关系矩阵计算特定用户关于特定关键词的第一交互得分。根据第一关注分数和第一交互评分计算特定用户关于特定关键词的第一特征得分。

4. 发明授权

US07987115B2 Advertisement selection systems and methods for internet articles 有权
标题翻译：广告选择系统和互联网文章的方法
公开(公告)号：US07987115B2
公开(公告)日：2011-07-26
申请号：US12005354
申请日：2007-12-27
申请人： Chia-Chun Shih , Tse-Ming Tsai
发明人： Chia-Chun Shih , Tse-Ming Tsai
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0255 , G06Q30/0276 , G06Q30/0277
摘要： Advertisement selection systems and methods for internet articles are provided. A personal advertisement agent generates an article characteristic value according to an internet article edited by a content editor. An advertisement server selects at least one of the advertisements according to the article characteristic value, a specialty characteristic value, and advertisement characteristic values of respective advertisements, wherein the specialty characteristic value is generated according to historical articles published by the client. The selected advertisement is integrated and published with the internet article.
摘要翻译：提供了互联网文章的广告选择系统和方法。个人广告代理根据由内容编辑者编辑的互联网文章生成文章特征值。广告服务器根据文章特征值，专业特征值和广告的广告特征值来选择广告中的至少一个，其中，根据客户端发布的历史文章生成专业特征值。所选广告与互联网文章整合并发布。

5. 发明申请

US20090138351A1 Advertisement selection systems and methods for internet articles 有权
标题翻译：广告选择系统和互联网文章的方法
公开(公告)号：US20090138351A1
公开(公告)日：2009-05-28
申请号：US12005354
申请日：2007-12-27
申请人： Chia-Chun Shih , Tse-Ming Tsai
发明人： Chia-Chun Shih , Tse-Ming Tsai
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0255 , G06Q30/0276 , G06Q30/0277
摘要： Advertisement selection systems and methods for internet articles are provided. A personal advertisement agent generates an article characteristic value according to an internet article edited by a content editor. An advertisement server selects at least one of the advertisements according to the article characteristic value, a specialty characteristic value, and advertisement characteristic values of respective advertisements, wherein the specialty characteristic value is generated according to historical articles published by the client. The selected advertisement is integrated and published with the internet article.
摘要翻译：提供了互联网文章的广告选择系统和方法。个人广告代理根据由内容编辑者编辑的互联网文章生成文章特征值。广告服务器根据文章特征值，专业特征值和广告的广告特征值来选择广告中的至少一个，其中，根据客户端发布的历史文章生成专业特征值。所选广告与互联网文章整合并发布。

6. 发明申请

US20070150323A1 Method and system for generating supply chain planning information 审中-公开
标题翻译：供应链计划信息的生成方法和系统
公开(公告)号：US20070150323A1
公开(公告)日：2007-06-28
申请号：US11471555
申请日：2006-06-21
申请人： June-Ray Lin , Chi-Hung Huang , Chun-Kai Wang , Chia-Chun Shih
发明人： June-Ray Lin , Chi-Hung Huang , Chun-Kai Wang , Chia-Chun Shih
IPC分类号： G06F17/50
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q10/0631 , G06Q10/06314 , G06Q10/06315 , G06Q10/0637 , G06Q10/06375
摘要： A method and a system for generating supply chain planning information are provided, which are used to dynamically adjust the control factors of the supply information provided by an original supplier and an original logistics provider, after the first supply chain planning information has been generated through a conventional supply chain planning information system, so as to generate much more supply information to process. Then, the information is processed by a planning engine of the supply chain planning information system to further generate other supply chain planning information among which to select in decision making. Hence, a decision maker can select and find out improved ways to negotiate with suppliers, so as to reduce the total cost and also meet customers' service quality requirements.
摘要翻译：提供了一种生成供应链计划信息的方法和系统，用于动态调整由原始供应商和原始物流供应商提供的供应信息的控制因素，在第一个供应链计划信息通过常规供应链计划信息系统，从而产生更多的供应信息来处理。然后，信息由供应链计划信息系统的规划引擎处理，以进一步产生其他供应链计划信息，在决策中选择其中。因此，决策者可以选择和找出改进的方式与供应商进行谈判，从而降低总成本并满足客户的服务质量要求。

7. 发明授权

US08055663B2 Systems and methods for measuring behavior characteristics 有权
标题翻译：测量行为特征的系统和方法
公开(公告)号：US08055663B2
公开(公告)日：2011-11-08
申请号：US11641705
申请日：2006-12-20
申请人： Tse-Ming Tsai , Chia-Chun Shih
发明人： Tse-Ming Tsai , Chia-Chun Shih
IPC分类号： G06F7/00 , G06F17/30 , G09B19/00
CPC分类号： G06Q10/00
摘要： Systems and methods for measuring behavior characteristics. For at least one specific user, a first concern score for respective key terms is calculated according to use frequency of respective key terms of network content corresponding to the specific user and all users. A first relation matrix for at least one specific key term is calculated according to at least two users corresponding to respective interaction behaviors between the key terms and a type weighting corresponding to respective interaction behaviors. A first interaction score for the specific user regarding the specific key term is calculated according to the first relation matrix. A first characteristic score for the specific user regarding the specific key term is calculated according to the first concern score and the first interaction score.
摘要翻译：测量行为特征的系统和方法。对于至少一个特定用户，根据与特定用户和所有用户对应的网络内容的各个关键词的使用频率来计算各个关键词的第一关注分数。根据关键词之间的相应交互行为对应的至少两个用户和对应于各个交互行为的类型加权，计算至少一个特定关键词的第一关系矩阵。根据第一关系矩阵计算特定用户关于特定关键词的第一交互得分。根据第一关注分数和第一交互评分计算特定用户关于特定关键词的第一特征得分。

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