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公开(公告)号：US08301574B2
公开(公告)日：2012-10-30
申请号：US11856628
申请日：2007-09-17
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0203 , G06Q30/02
摘要： A media engagement system determines engagement scores for media vehicles across multiple media channels. The engagements scores for a media vehicle comprise multiple dimension scores indicating various aspects of engagement for that particular media vehicle. The dimension scores may be related to inspirational, trustworthy, life enhancing, social interaction, personal timeout, and ad attention/receptivity engagement dimensions, for example. The dimensions scores associated with respective engagement dimensions are based on responses to specific statements in engagement surveys completed by multiple media consumers. Thus, each statement in the engagement survey is associated with at least one engagement dimension and the engagement dimension score is then calculated based on media consumer responses to the statements associated with the respective engagement dimension.
摘要翻译： 媒体参与系统确定跨多个媒体频道的媒体媒体的参与度分数。 媒体车辆的接合得分包括指示针对该特定媒体车辆的接合的各个方面的多个维度分数。 维度得分可能与鼓舞人心，值得信赖，增进生活，社交互动，个人超时以及广告注意/接受度互动维度有关。 与各个接合尺寸相关联的尺寸分数基于对多个媒体消费者完成的参与调查中特定语句的响应。 因此，接合调查中的每个陈述与至少一个接合维度相关联，然后基于媒体消费者对与相应接合维度相关联的语句的响应来计算接合尺寸得分。
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公开(公告)号：US20090076883A1
公开(公告)日：2009-03-19
申请号：US11856628
申请日：2007-09-17
CPC分类号： G06Q30/0203 , G06Q30/02
摘要： A media engagement system determines engagement scores for media vehicles across multiple media channels. The engagements scores for a media vehicle comprise multiple dimension scores indicating various aspects of engagement for that particular media vehicle. The dimension scores may be related to inspirational, trustworthy, life enhancing, social interaction, personal timeout, and ad attention/receptivity engagement dimensions, for example. The dimensions scores associated with respective engagement dimensions are based on responses to specific statements in engagement surveys completed by multiple media consumers. Thus, each statement in the engagement survey is associated with at least one engagement dimension and the engagement dimension score is then calculated based on media consumer responses to the statements associated with the respective engagement dimension.
摘要翻译： 媒体参与系统确定跨多个媒体频道的媒体车辆的参与分数。 媒体车辆的接合得分包括指示针对该特定媒体车辆的接合的各个方面的多个维度分数。 维度得分可能与鼓舞人心，值得信赖，增进生活，社交互动，个人超时以及广告注意/接受度互动维度有关。 与各个接合尺寸相关联的尺寸分数基于对多个媒体消费者完成的参与调查中特定语句的响应。 因此，接合调查中的每个陈述与至少一个接合维度相关联，然后基于媒体消费者对与相应接合维度相关联的语句的响应来计算接合尺寸得分。
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公开(公告)号：US20130218638A1
公开(公告)日：2013-08-22
申请号：US13620609
申请日：2012-09-14
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0203 , G06Q30/02
摘要： A media engagement system determines engagement scores for media vehicles across multiple media channels. The engagements scores for a media vehicle comprise multiple dimension scores indicating various aspects of engagement for that particular media vehicle. The dimension scores may be related to inspirational, trustworthy, life enhancing, social interaction, personal timeout, and ad attention/receptivity engagement dimensions, for example. The dimensions scores associated with respective engagement dimensions are based on responses to specific statements in engagement surveys completed by multiple media consumers. Thus, each statement in the engagement survey is associated with at least one engagement dimension and the engagement dimension score is then calculated based on media consumer responses to the statements associated with the respective engagement dimension.
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公开(公告)号：US20060143073A1
公开(公告)日：2006-06-29
申请号：US11361751
申请日：2006-02-23
申请人： William Engel , Max Kilger
发明人： William Engel , Max Kilger
IPC分类号： G06F17/30
CPC分类号： G06Q30/0202 , G06F17/30283 , G06Q30/02 , G06Q30/0203 , G06Q30/0204 , Y10S707/99932 , Y10S707/99935
摘要： A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases.
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