Improving computer model accuracy in predicting location of online system users

    公开(公告)号:US10251018B1

    公开(公告)日:2019-04-02

    申请号:US15711868

    申请日:2017-09-21

    Applicant: Facebook, Inc.

    Abstract: An online system receives a request from a user of a manager transmitter to generate a unique beacon identifier (ID) associated with a physical location. Responsive to receiving the beacon ID from the online system, the manager transmitter transmits a Bluetooth signal comprising the beacon ID to user client devices, which send the beacon ID to the online system for identification. Responsive to detecting that a received signal strength exceeds a threshold, a location context module classifies the instance of the user client device detecting the signal as an example of a user being present at the physical location. A location prediction module uses the instance as training data to train a machine-learning model to predict the presence of online system users at the physical location.

    Computer model accuracy in predicting location of online system users

    公开(公告)号:US10757530B1

    公开(公告)日:2020-08-25

    申请号:US16234428

    申请日:2018-12-27

    Applicant: Facebook, Inc.

    Abstract: An online system receives a request from a user of a manager transmitter to generate a unique beacon identifier (ID) associated with a physical location. Responsive to receiving the beacon ID from the online system, the manager transmitter transmits a Bluetooth signal comprising the beacon ID to user client devices, which send the beacon ID to the online system for identification. Responsive to detecting that a received signal strength exceeds a threshold, a location context module classifies the instance of the user client device detecting the signal as an example of a user being present at the physical location. A location prediction module uses the instance as training data to train a machine-learning model to predict the presence of online system users at the physical location.

    MEASURING PERFORMANCE OF CONTENT PRESENTED ON AN ONLINE SYSTEM BASED ON USER INFORMATION RECEIVED AT VARIABLE RATES

    公开(公告)号:US20170169460A1

    公开(公告)日:2017-06-15

    申请号:US14970209

    申请日:2015-12-15

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0242 G06Q50/01 H04W4/021

    Abstract: An online system receives information from client devices describing locations of online system users and identifies certain events based on the information. To account for different rates at which information is received from client devices when identifying events, the online system identifies a group of users associated with location information received at greater than a threshold rate and an alternative group of users associated with information received at less than the threshold rate. Based on a value associated with the group and an additional value associated with the alternative group, the online system computes a scaling factor that is applied to the additional value, allowing the online system to account for potential events associated with the alternative group that were not identified because of the lower rate at which the online system received location information associated with users in the additional group.

    ADAPTIVE ADVERTISEMENT TARGETING BASED ON PERFORMANCE OBJECTIVES
    4.
    发明申请
    ADAPTIVE ADVERTISEMENT TARGETING BASED ON PERFORMANCE OBJECTIVES 审中-公开
    基于性能目标的自适应广告目标

    公开(公告)号:US20160343026A1

    公开(公告)日:2016-11-24

    申请号:US14716772

    申请日:2015-05-19

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0244 G06Q30/0251 G06Q30/0276

    Abstract: A target audience for an ad campaign is determined during an exploration period of the ad campaign by modifying the target audience based on the fulfillment of performance objectives. An initial target audience may be provided by the advertiser or determined by the social networking system based on ad campaigns having similar ad content or other similar characteristics. Advertisements associated with the ad campaign are served to users of the initial target audience. A subset of the target audience that fulfills the performance objectives of the ad campaign is identified and those users are used to generate a new targeting audience to target users that “look like” the subset of the target audience. The new targeting audience is used in place of the initial target audience to improve targeting for the advertisement. This process may be iteratively performed to refine the target audience during the exploration period.

    Abstract translation: 广告活动的目标对象是在广告活动的探索期间根据绩效目标的实现修改目标受众。 初始目标受众可以由广告商提供或由基于具有相似广告内容或其他相似特征的广告活动的社交网络系统确定。 与广告系列相关联的广告将投放给初始目标受众的用户。 确定满足广告活动绩效目标的目标受众群体的一部分,并且这些用户被用于生成新的定位受众群体,以将目标用户的子集“看起来像”为目标用户。 新的定位受众群体用于替代初始目标受众群体,以改善广告的定位。 可以迭代地执行该过程以在勘探期间改进目标受众。

    CONTENT DATA MODEL FOR OPTIMIZED CONTENT CREATION

    公开(公告)号:US20180012253A1

    公开(公告)日:2018-01-11

    申请号:US15499803

    申请日:2017-04-27

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0251 G06Q30/0276

    Abstract: An online system provides a content data model to content providers for optimizing content creation. The content data model is a hierarchical model with multiple levels for content creation, e.g., campaign level, content item set level and content item level. At each level of the content data model, a content provider can specify certain information concerning the content creation at that level, such as optimization goal for each level. The information specified at each level of the content data model is applied to all elements under that level by the online system during the content creation process. With the content data model, a content provider can efficiently design creative campaigns by specifying objectives, optimization goals, target audiences and budgets, etc., at different design levels. The online system dynamically optimizes content item creation based on information about creatives to be included in a content item for a target user.

Patent Agency Ranking