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    • 2. 发明申请
    • ESTIMATING EFFECTS OF COURSES
    • 估计课程的影响
    • US20170032323A1
    • 2017-02-02
    • US14814403
    • 2015-07-30
    • LinkedIn Corporation
    • Aman GroverSiyu YouKrishnaram KenthapadiParul JainFedor Vladimirovich BorisyukChristopher Matthew DegiereSongtao Guo
    • G06Q10/10
    • G06Q10/1053G06Q50/2057
    • A member profile including a vector containing a field for each of a plurality of skills and a rating of one or more of the skills in the vector for a member of a social networking service is obtained. A first distance indicating a vector distance between the vector of the member profile and a vector of a hypothetical member profile representing the perfect job candidate is obtained. A hypothetical member profile for the member is created by combining the vector of the member profile with the indication of how each of the one or more skills is improved through taking the course from course information. A second distance between the member and the hypothetical perfect candidate for the job is obtained, and the difference between the first distance and the second distance is calculated to determine an estimate of how much the course will increase the member's job chances.
    • 获得包括对于多个技能中的每一个的包含字段的向量的成员简档,以及针对社交网络服务的成员的向量中的一种或多种技能的评级。 获得指示成员简档的矢量与表示完美作业候选的假想成员轮廓的矢量之间的矢量距离的第一距离。 通过将成员简档的向量与通过从课程信息中获取课程来改进每个技能的指示来创建该成员的假设成员简档。 获得该成员与该工作的假设完美候选人之间的第二距离,并计算第一距离与第二距离之间的差异,以确定该课程将增加成员工作机会的程度。
    • 3. 发明申请
    • OPTIMIZING ONLINE ADVERTISING CAMPAIGN ALLOCATIONS
    • 优化在线广告营销分配
    • US20160063574A1
    • 2016-03-03
    • US14578219
    • 2014-12-19
    • LinkedIn Corporation
    • Siyu YouRomer Rosales-Delmoral
    • G06Q30/02
    • A method of optimizing online advertising campaign allocations is disclosed. It is determined that an auction for a set of advertising slots has been triggered. It is identified that the advertising campaigns are configured to bid on the set of advertising slots. A ranking score for each of the advertising campaigns is determined. The ranking scores are adjusted for each cost-per-click advertising campaign of the set of advertising campaigns by an adjustment factor specific to a context of the auction. The set of advertising slots is allocated to the winners of the auction. The winners of the auction are communicated for integration into a content page.
    • 披露了优化在线广告活动分配的方法。 确定已经触发一组广告位的拍卖。 确定广告活动被配置为对该组广告位进行出价。 确定每个广告活动的排名得分。 通过特定于拍卖背景的调整因素,对广告系列广告系列的每个每次点击费用广告活动进行排名分数的调整。 一组广告位分配给拍卖的获奖者。 传达拍卖的获奖者,以便整合到内容页面中。
    • 4. 发明申请
    • PACING THE SERVING OF A CONTENT ITEM
    • 提供内容项目的服务
    • US20160275571A1
    • 2016-09-22
    • US14663116
    • 2015-03-19
    • LINKEDIN CORPORATION
    • Zhifeng DengSiyu YouDakan Wang
    • G06Q30/02
    • G06Q30/0275G06Q30/0206
    • A system, method, and apparatus are provided for pacing the serving of a sponsored content item. The rate of depletion of the sponsored content item, or the current rate at which it wins auctions to be served in response to compatible content requests is used to forecast the state of the item's periodic budget at the end of a current period. If the budget is not forecast to be depleted close to the end of the period, within a threshold measure of value or time, a new win rate that will accomplish the goal is determined. Based on past performance, which may be represented as a collection of estimated costs per impression (eCPI) or as ratios of the item's eCPI to a winning item's eCPI, a new bid can be determined that is estimated to yield the new win rate.
    • 提供了一种系统,方法和装置,用于对所提供的内容项目的服务进行起搏。 赞助内容项目的耗尽率或其竞争拍卖的响应兼容内容请求的当前速率用于在当前时段结束时预测该项目的定期预算的状态。 如果预算未预计在期间结束时耗尽,则在价值或时间的阈值范围内,确定实现目标的新胜率。 根据过去的表现,可以表示为每次展示的预估成本(eCPI)或该项目的eCPI与获胜项目的eCPI的比率,可以确定新的出价,估计产生新的胜率。
    • 6. 发明申请
    • ONLINE ADVERTISEMENT FORECASTING USING TARGETED MESSAGES
    • 在线广告预测使用有针对性的消息
    • US20160253709A1
    • 2016-09-01
    • US14642586
    • 2015-03-09
    • LinkedIn Corporation
    • Jieying ChenTingting CuiZhifeng DengSiyu YouDeepak KumarGuangyu DongSanjay KshetramadeJan Schellenberger
    • G06Q30/02G06Q50/00
    • G06Q30/0269G06Q30/0261G06Q30/0264G06Q50/01
    • Techniques for forecasting for an advertisement campaign are described. A personalized communication system can receive a request for an advertisement campaign on a social network. The request can have a member attribute and a time frame. The personalized communication system can access member data and behavior data from the social network. Additionally, the personalized communication system can determine a target group based on the member data and the member attribute. Furthermore, the personalized communication system can calculate a number of unique visitors to the social network from the target group based on the member attribute, the time frame, and a frequency cap. Subsequently, the personalized communication system can forecast a number of messages for the first advertisement campaign based on the calculated number of unique visitors, the behavior data, and the time frame.
    • 描述了广告活动预测技术。 个性化通信系统可以在社交网络上接收广告活动的请求。 该请求可以具有成员属性和时间框架。 个性化通信系统可以从社交网络访问成员数据和行为数据。 此外,个性化通信系统可以基于成员数据和成员属性来确定目标组。 此外,个性化通信系统可以基于成员属性,时间框架和频率上限,从目标组计算出社交网络的唯一访问者数量。 随后,个性化通信系统可以基于计算出的唯一访问者的数量,行为数据和时间帧来预测第一广告活动的多个消息。