Targeted advertisement with local consumer profile
    1.
    发明申请
    Targeted advertisement with local consumer profile 审中-公开
    具有本地消费者资料的目标广告

    公开(公告)号:US20050038698A1

    公开(公告)日:2005-02-17

    申请号:US10639140

    申请日:2003-08-12

    IPC分类号: G06Q30/00 G06F17/60

    CPC分类号: G06Q30/02 G06Q30/0275

    摘要: A computer that comprises a monitor, a CPU, memory coupled to the CPU, and an instruction storage medium coupled to the CPU. The instruction storage medium provides instructions executable by the CPU, whereby the computer logs consumer activities, creates a local consumer profile based on said consumer activities, and displays an advertisement on the monitor if a target profile of said targeted ad matches the local consumer profile.

    摘要翻译: 包括监视器,CPU,耦合到CPU的存储器以及耦合到CPU的指令存储介质的计算机。 指令存储介质提供可由CPU执行的指令,由此计算机记录消费者活动,基于所述消费者活动创建本地消费者简档,并且如果所述目标广告的目标简档与本地消费者简档匹配,则在监视器上显示广告。

    Systems and methods of interfacing an advertisement with a message presentation client
    2.
    发明申请
    Systems and methods of interfacing an advertisement with a message presentation client 审中-公开
    将广告与消息呈现客户端接口的系统和方法

    公开(公告)号:US20060041472A1

    公开(公告)日:2006-02-23

    申请号:US10924457

    申请日:2004-08-23

    IPC分类号: G06Q30/00

    摘要: Systems and methods of advertising are presented herein. In some embodiments, a method may comprise collecting data on a consumer computer, receiving a signal having advertisement information and target criteria, and comparing said target criteria with the data. If the target criteria matches with the data, the method further comprises interfacing the advertisement information in a message format compatible with a message presentation client executed by the consumer computer.

    摘要翻译: 本文介绍了广告的系统和方法。 在一些实施例中,方法可以包括在消费者计算机上收集数据,接收具有广告信息和目标标准的信号,以及将所述目标标准与数据进行比较。 如果目标条件与数据匹配,则该方法还包括以与消费者计算机执行的消息呈现客户端兼容的消息格式来接口广告信息。

    MANAGING DATA ENTITIES USING COLLABORATIVE FILTERING
    4.
    发明申请
    MANAGING DATA ENTITIES USING COLLABORATIVE FILTERING 有权
    使用协同过滤管理数据实体

    公开(公告)号:US20140372453A1

    公开(公告)日:2014-12-18

    申请号:US14372976

    申请日:2012-01-20

    IPC分类号: G06F17/30

    CPC分类号: G06F17/3053 G06F17/30029

    摘要: In a method for managing a plurality of data entities, data pertaining to transactions by a plurality of users with respect to the data entities is collected and a collaborative filtering operation is applied on the data entities to determine similarity levels of the data entities with respect to each other. In addition, for at least one of the data entities, remaining ones of the data entities are ranked according to the determined similarities while discounting for popularities of the data entities. Moreover, identifications of at least another one of the data entities having the highest rankings to the at least one of the data entities are presented to a first user to recommend the at least another one of the data entities for use by the first user.

    摘要翻译: 在用于管理多个数据实体的方法中,收集关于多个用户关于数据实体的事务的数据,并且对数据实体应用协作过滤操作,以确定数据实体相对于 彼此。 此外,对于数据实体中的至少一个,数据实体中剩余的数据实体根据所确定的相似度进行排名,同时对数据实体的流行度进行贴现。 此外,向至少一个数据实体提供具有最高排名的数据实体中的至少另一个数据实体的标识被呈现给第一用户以推荐数据实体中的至少另一个以供第一用户使用。

    Collaborative filtering with hashing
    5.
    发明授权
    Collaborative filtering with hashing 有权
    用哈希进行协同过滤

    公开(公告)号:US08661042B2

    公开(公告)日:2014-02-25

    申请号:US12906551

    申请日:2010-10-18

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30699

    摘要: Systems, methods, and machine readable and executable instructions are provided for collaborative filtering. Collaborative filtering includes representing users and objects by rows and columns in a binary ratings matrix having a particular dimensional space. Unknown values in the binary ratings matrix are weighted with a weight matrix having the particular dimensional space. The binary ratings matrix and the weight matrix are hashed into a lower dimensional space by one of row and column. The hashed binary ratings matrix and the hashed weight matrix are low-rank approximated by alternating least squares. A result of the low-rank approximation for the one of row and column is updated using the binary ratings matrix and the weight matrix. A recommendation of one of the objects can be generated for one of the users based on the updated result.

    摘要翻译: 提供系统,方法和机器可读和可执行指令用于协同过滤。 协同过滤包括用具有特定尺寸空间的二进制评级矩阵中的行和列来表示用户和对象。 二进制等级矩阵中的未知值用具有特定尺寸空间的权重矩阵加权。 二进制等级矩阵和权重矩阵通过行和列之一被散列成较低维的空间。 散列二进制等级矩阵和散列权重矩阵是通过交替的最小二乘法近似的低阶。 使用二进制等级矩阵和权重矩阵来更新行和列之一的低阶近似的结果。 可以基于更新的结果为一个用户生成其中一个对象的推荐。

    Estimating Costs of behavioral Targeting
    6.
    发明申请
    Estimating Costs of behavioral Targeting 审中-公开
    估计行为指标的成本

    公开(公告)号:US20130346188A1

    公开(公告)日:2013-12-26

    申请号:US14003126

    申请日:2011-03-15

    IPC分类号: G06Q30/02

    摘要: Systems (490), methods (100, 200), and computer-readable and executable instructions (324, 424) are provided for estimating costs of behavioral targeting. Estimating costs of behavioral targeting can include scoring a topic with a behavioral targeting model (101, 201). Estimating costs of behavioral targeting can also include obtaining a plurality of data items including geographic location information (102, 202). Estimating costs of behavioral targeting can also include detecting (104, 204) and scoring (209) a sentiment from filtered data items regarding a topic within a region (104, 204). Estimating costs of behavioral targeting can include computing a penalty score for the topic in the region in response to the scored sentiment exceeding a threshold (213), (106, 206). Estimating costs of behavioral targeting can include adjusting the topic score in the region according to the penalty score (108, 208). Furthermore, estimating costs of behavioral targeting can include taking an action with respect to advertising based on the adjusted topic score (110, 210).

    摘要翻译: 系统(490),方法(100,200)和计算机可读和可执行指令(324,424)被提供用于估计行为目标的成本。 估计行为定位成本可以包括使用行为定位模型评分主题(101,201)。 估计行为定位的成本还可以包括获得包括地理位置信息(102,202)的多个数据项。 估计行为定位的成本还可以包括从区域(104,204)内的关于主题的经过滤数据项的检测(104,204)和评分(209)得分(209)。 估计行为定位的成本可以包括响应于超过阈值(213)(106,206)的评分情绪计算该区域中的主题的惩罚分数。 估计行为定位的成本可以包括根据惩罚分数调整该地区的主题得分(108,208)。 此外,估计行为定位的成本可以包括基于经调整的主题得分(110,210)采取关于广告的动作。

    DELIVERING AN ITEM OF INTEREST
    7.
    发明申请
    DELIVERING AN ITEM OF INTEREST 审中-公开
    交付利益项目

    公开(公告)号:US20130181828A1

    公开(公告)日:2013-07-18

    申请号:US13351660

    申请日:2012-01-17

    IPC分类号: G08B23/00 G08B21/00

    CPC分类号: G06Q10/109

    摘要: In a method for delivering an item of interest, identification of the item of interest is received and identification of an action context to trigger delivery of the identified item of interest is received. In addition, the item of interest, the action context, and an association of the item of interest to the action context are stored. Moreover, a determination that an indication regarding the action context has been received is made and the item of interest is delivered.

    摘要翻译: 在用于递送感兴趣的项目的方法中,接收感兴趣的项目的识别并且接收用于触发所识别的感兴趣项目的传送的动作上下文的识别。 此外,存储感兴趣的项目,动作背景以及感兴趣的项目与动作上下文的关联。 此外,进行了关于已经接收到关于动作上下文的指示的确定,并且传递了感兴趣的项目。

    Context-Based Item Bookmarking
    8.
    发明申请
    Context-Based Item Bookmarking 审中-公开
    基于上下文的项目书签

    公开(公告)号:US20130117263A1

    公开(公告)日:2013-05-09

    申请号:US13809683

    申请日:2010-07-22

    IPC分类号: G06F17/30

    CPC分类号: G06F16/20 G06F16/9562

    摘要: In a method for context-based item bookmarking (300), an instruction to bookmark an item for future delivery and an action context configured to trigger delivery of the bookmarked item are received (304 and 306). In addition, the action context and the item are bookmarked (308) and at least one entity's activities are monitored to determine whether an activity associated with the action context has been performed (310). Moreover, in response to a determination that the activity associated with the action context has been performed, the bookmarked item is delivered to at least one entity (314).

    摘要翻译: 在一种用于基于上下文的项目书签(300)的方法中,接收用于将未来传送的项目加为书签的指令以及被配置为触发所述加书签的项目的传送的动作上下文的指令(304和306)。 另外,动作上下文和项目被加书签(308),并且监视至少一个实体的活动以确定是否已经执行与动作上下文相关联的活动(310)。 此外,响应于已经执行与动作上下文相关联的活动的确定,将加书签的项目传递给至少一个实体(314)。

    Collaborative filtering systems and methods
    10.
    发明授权
    Collaborative filtering systems and methods 有权
    协同过滤系统和方法

    公开(公告)号:US08086555B2

    公开(公告)日:2011-12-27

    申请号:US12359167

    申请日:2009-01-23

    IPC分类号: G06F9/44 G06N7/02 G06N7/06

    摘要: A collaborative filtering method for evaluating a group of items to aid in predicting utility of items for a particular user comprises assigning an item value of either known or missing to each item of the group of items, and applying a modification scheme to the item values of the missing items to assign a confidence value to each of the item values of the missing items to thereby generate a group of modified item values. The group of items having modified item values and the group known items are evaluated to generate a prediction of utility of items for a particular user.

    摘要翻译: 用于评估一组项目以帮助预测特定用户的项目的效用的协同过滤方法包括将已知或缺失的项目值分配给该组项目的每个项目,并将修改方案应用于项目值 丢失的项目来为缺失项目的每个项目值分配置信度值,从而生成一组修改后的项目值。 对具有修改项目值的项目组和组已知项目进行评估以产生用于特定用户的项目的效用的预测。