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1. 发明申请

US20180137122A1 MEDIA CONTENT DISCOVERY AND CHARACTER ORGANIZATION TECHNIQUES 审中-公开
公开(公告)号：US20180137122A1
公开(公告)日：2018-05-17
申请号：US15786351
申请日：2017-10-17
申请人： FEM, Inc.
发明人： Rachel PAYNE , Meghana BHATT , Natasha MOHANTY
IPC分类号： G06F17/30
CPC分类号： G06F16/435 , G06F16/24578 , G06F16/3334 , G06F16/43 , G06F16/44 , G06F16/48 , G06F16/68 , G06F16/78 , G06F16/7867
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

2. 发明申请

US20140280250A1 MEDIA CONTENT DISCOVERY AND CHARACTER ORGANIZATION TECHNIQUES 有权
标题翻译：媒体内容发现和特征组织技术
公开(公告)号：US20140280250A1
公开(公告)日：2014-09-18
申请号：US14065332
申请日：2013-10-28
申请人： FEM, Inc
发明人： Rachel PAYNE , Meghana BHATT , Natasha MOHANTY
IPC分类号： G06F17/30
CPC分类号： G06F17/30029 , G06F17/30023 , G06F17/30038 , G06F17/30058 , G06F17/3053 , G06F17/30663 , G06F17/30749 , G06F17/30817 , G06F17/3082
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a primary character. A second character model comprises a second set of attribute values for the plurality of attributes of a secondary character. The primary and secondary characters are associated with first and second predetermined salience values, respectively. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the secondary character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. Media is recommended to a user based on the media rating.
摘要翻译：描述介质介质的技术。访问包括多个偏好系数的字符偏好函数。第一字符模型包括用于主要角色的多个属性的第一组属性值。第二字符模型包括次要字符的多个属性的第二组属性值。主要和次要字符分别与第一和第二预定显着值相关联。使用多个偏好系数和第一组属性值来计算第一字符等级。使用具有第二组属性值的多个偏好系数来计算辅助字符的第二字符等级。基于第一和第二显着值以及第一和第二字符等级来计算媒体评级。根据媒体评级，向用户推荐媒体。

3. 发明授权

US09122684B2 Media content discovery and character organization techniques 有权
标题翻译：媒体内容发现和角色组织技术
公开(公告)号：US09122684B2
公开(公告)日：2015-09-01
申请号：US14466882
申请日：2014-08-22
申请人： FEM, INC.
发明人： Rachel Payne , Meghana Bhatt , Natasha Mohanty
IPC分类号： G06F17/30
CPC分类号： G06F17/30029 , G06F17/30023 , G06F17/30038 , G06F17/30058 , G06F17/3053 , G06F17/30663 , G06F17/30749 , G06F17/30817 , G06F17/3082
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.
摘要翻译：描述介质介质的技术。访问包括多个偏好系数的字符偏好函数。第一字符模型包括用于第一字符的多个属性的第一组属性值。第一和第二个字符分别与第一和第二显着值相关联。第二字符模型包括多个字符的第二个字符的多个属性的第二组属性值。使用多个偏好系数和第一组属性值来计算第一字符等级。使用具有第二组属性值的多个偏好系数来计算第二字符的第二字符等级。基于第一和第二显着值以及第一和第二字符等级来计算媒体评级。根据媒体评级推荐媒体。

4. 发明申请

US20090056003A1 Personal urinary director for women 审中-公开
标题翻译：女性个人泌尿导师
公开(公告)号：US20090056003A1
公开(公告)日：2009-03-05
申请号：US12283392
申请日：2008-09-11
申请人： Marvin L. Ivie , Gregory L. Ivie
发明人： Marvin L. Ivie , Gregory L. Ivie
IPC分类号： A47K11/00
CPC分类号： A61F5/4556
摘要： A urinary director that allows a woman to urinate in various situations without having to sit on a toilet comprising a receptacle body having walls that are angled to minimize splashing, an opening to receive the urine, and an orifice to dispense the urine. The opening may be oval in shape. The urinary director may further comprise a tube and a lid.
摘要翻译：一种泌尿导引器，其允许女性在各种情况下排尿，而不必坐在马桶上，该马桶包括具有倾斜角度以使飞溅最小化的开口，容纳尿液的开口和用于分配尿液的孔口的容器主体。开口的形状可以是椭圆形。导尿管还可包括管和盖。

5. 发明授权

US3762411A Power aerated douche 失效
标题翻译：电动DOUCHE
公开(公告)号：US3762411A
公开(公告)日：1973-10-02
申请号：US3762411D
申请日：1971-09-20
申请人： AQUA FEM INC
发明人： HAZEN W , S FULLER W , LLOYD W , J FULLER W
IPC分类号： A61H33/00 , A61H33/02 , A61M3/02 , A61M1/00
CPC分类号： A61M3/0258 , A61H33/02 , A61H33/6036 , A61H35/00 , A61H2033/0079 , A61H2201/1207
摘要： This specification discloses an electrically driven feminine hygiene appliance including a cover which also functions as a reservoir for a quantity of douching liquid, pumping apparatus for pressurizing air and the douching liquid, an electric motor for driving the pumping apparatus, a tube for conducting the pressurized liquid and air to a nozzle having lateral discharge ports, and a valve controlling the passage of the air and liquid to the nozzle. The invention delivers a mixture of air and douching liquid under a desired pressure to the discharge nozzle in the form of an aerated liquid.
摘要翻译：本说明书公开了一种电驱动的女性卫生用具，其包括还用作一定数量的冲洗液的储存器，用于加压空气的泵送装置和冲洗液，用于驱动泵送装置的电动机，用于进行加压液体和空气流到具有侧向排出口的喷嘴，以及控制空气和液体通向喷嘴的阀。本发明以所需的压力将空气和冲洗液体的混合物以充气液体的形式提供给排放喷嘴。

6. 发明授权

US09342580B2 Character based media analytics 有权
标题翻译：基于字符的媒体分析
公开(公告)号：US09342580B2
公开(公告)日：2016-05-17
申请号：US14636067
申请日：2015-03-02
申请人： FEM, INC.
发明人： Meghana Bhatt , Rachel Payne , Natasha Mohanty
IPC分类号： G06F17/30
CPC分类号： G06F17/30604 , G06F17/30023 , G06F17/30029 , G06F17/30058 , G06F17/3082 , G06F17/30864
摘要： Techniques for analyzing media content are described. One technique generally comprises performing a regression analysis for characters in a plurality of media content based on user demographics, content outcome measure, and character models. The technique determines an attribute of significance. In some embodiments, the technique selects media content for display that depicts a character having at least a threshold value of the attribute of significance. In some embodiments, the technique displays media analytics for the attribute of significance determined based on a value of the attribute of significance exceeding a threshold significance value.
摘要翻译：描述用于分析媒体内容的技术。一种技术通常包括基于用户人口统计，内容结果测量和角色模型对多个媒体内容中的字符执行回归分析。该技术决定了重要性的属性。在一些实施例中，该技术选择描绘具有至少具有有效属性的阈值的角色的媒体内容。在一些实施例中，该技术显示基于超过阈值显着性值的有效属性的值确定的有效属性的媒体分析。

7. 发明授权

US08819031B1 Media content discovery and character organization techniques 有权
标题翻译：媒体内容发现和角色组织技术
公开(公告)号：US08819031B1
公开(公告)日：2014-08-26
申请号：US14065332
申请日：2013-10-28
申请人： FEM, Inc.
发明人： Rachel Payne , Meghana Bhatt , Natasha Mohanty
IPC分类号： G06F17/30
CPC分类号： G06F17/30029 , G06F17/30023 , G06F17/30038 , G06F17/30058 , G06F17/3053 , G06F17/30663 , G06F17/30749 , G06F17/30817 , G06F17/3082
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a primary character. A second character model comprises a second set of attribute values for the plurality of attributes of a secondary character. The primary and secondary characters are associated with first and second predetermined salience values, respectively. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the secondary character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. Media is recommended to a user based on the media rating.
摘要翻译：描述介质介质的技术。访问包括多个偏好系数的字符偏好函数。第一字符模型包括用于主要角色的多个属性的第一组属性值。第二字符模型包括次要字符的多个属性的第二组属性值。主要和次要字符分别与第一和第二预定显着值相关联。使用多个偏好系数和第一组属性值来计算第一字符等级。使用具有第二组属性值的多个偏好系数来计算辅助字符的第二字符等级。基于第一和第二显着值以及第一和第二字符等级来计算媒体评级。根据媒体评级，向用户推荐媒体。

8. 发明授权

US09619747B2 Prospective media content generation using neural network modeling 有权
公开(公告)号：US09619747B2
公开(公告)日：2017-04-11
申请号：US14644092
申请日：2015-03-10
申请人： FEM, INC.
发明人： Meghana Bhatt , Rachel Payne
IPC分类号： G06N3/02 , G06N99/00 , G06F17/16
CPC分类号： G06N3/02 , G06F17/16 , G06N99/005
摘要： A system for prospectively identifying media characteristics for inclusion in media content is disclosed. A neural network database including media characteristic information and feature information may associate relationships among the media characteristic information and feature information. Personal characteristic information associated with target media consumers may be used to select a subset of the neural network database. A first set of nodes, representing selected feature information, may be activated. The node interactions may be calculated to detect the activation of a second set of nodes, the second set of nodes representing media characteristic information. Generally, a node is activated when an activation value of the node exceeds a threshold value. Media characteristic information may be identified for inclusion in media content based on the second set of nodes.

9. 发明授权

US09442931B2 Media content discovery and character organization techniques 有权
公开(公告)号：US09442931B2
公开(公告)日：2016-09-13
申请号：US14800020
申请日：2015-07-15
申请人： FEM, Inc.
发明人： Rachel Payne , Meghana Bhatt , Natasha Mohanty
IPC分类号： G06F17/30
CPC分类号： G06F17/30029 , G06F17/30023 , G06F17/30038 , G06F17/30058 , G06F17/3053 , G06F17/30663 , G06F17/30749 , G06F17/30817 , G06F17/3082
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

10. 发明授权

US09805034B2 Media content discovery and character organization techniques 有权
公开(公告)号：US09805034B2
公开(公告)日：2017-10-31
申请号：US15238677
申请日：2016-08-16
申请人： FEM, Inc.
发明人： Rachel Payne , Meghana Bhatt , Natasha Mohanty
IPC分类号： G06F17/30
CPC分类号： G06F17/30029 , G06F17/30023 , G06F17/30038 , G06F17/30058 , G06F17/3053 , G06F17/30663 , G06F17/30749 , G06F17/30817 , G06F17/3082
摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

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