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    • 1. 发明申请
    • System and Method for Adaptive Bidding for Display Advertising
    • 自适应招标展示广告系统和方法
    • US20100250332A1
    • 2010-09-30
    • US12414166
    • 2009-03-30
    • Arpita GhoshBenjamin I.P. RubinsteinSergei VassilvitskiiMartin Zinkevich
    • Arpita GhoshBenjamin I.P. RubinsteinSergei VassilvitskiiMartin Zinkevich
    • G06Q30/00G06N5/02
    • G06Q30/08G06Q30/02G06Q30/0242G06Q30/0249G06Q30/0275G06Q30/0601
    • A system for performing adaptive bidding to secure Internet advertising impressions in an auction. Included are systems for analyzing advertising campaign objectives, including a campaign period, a target number of impressions, a target budget. An exemplary technique defines a bidding agent for performing the adaptive bidding seeking the minimum target spending of the budget. Objective results of the campaign such as average cost per won impression, total campaign duration relative to desired campaign period, and total expenditure relative to campaign budget can be optimized based on an empirically determined forecast. Techniques for adapting bids include statistically modeling winning bids during an exploration bidding phase, performing iterations for adjustment of the bid amounts using learn-while-bid adaptive bidding, learn-then-bid adaptive bidding, and guess-double-adjust adaptive bidding. Bidding tactics, especially those used to identify a minimum target bid and a maximum target bid used in bidding on an exchange are employed, and the results analyzed using statistical models.
    • 用于执行自适应出价以在竞价中保护互联网广告印象的系统。 包括用于分析广告活动目标的系统,包括广告系列期间,目标数量的展示次数,目标预算。 一个示例性技术定义了一个投标代理,用于执行适应性投标,寻求预算的最低目标支出。 根据经验确定的预测,可以优化运动的客观结果,例如平均每赢得印象的成本,相对于期望的活动期间的总活动持续时间以及相对于活动预算的总支出。 适应投标的技术包括在勘探招标阶段统计建模中标,通过学习 - 竞标自适应竞标,学习竞标自适应竞标,猜测双重调整自适应竞价,进行迭代调整投标金额。 采用招标策略,特别是用于确定最低目标出价的标书和用于交易所投标的最高目标出价,并采用统计模型分析结果。
    • 3. 发明申请
    • Probabilistic Linking Approach for Serving Impressions in Guaranteed Delivery Advertising
    • 在保证投放广告中提供展示的概率链接方法
    • US20110270676A1
    • 2011-11-03
    • US12771196
    • 2010-04-30
    • Sergei VassilvitskiiJayavel ShanmugasundaramSumanth JagannathErik VeeMartin Zinkevich
    • Sergei VassilvitskiiJayavel ShanmugasundaramSumanth JagannathErik VeeMartin Zinkevich
    • G06Q30/00G06N5/02
    • G06Q30/02G06Q30/0251
    • A computer-implemented method and display advertising server network for serving impression opportunities to a frequency-capped guaranteed delivery contract in a system for delivery of display advertising to a user. The method includes steps for receiving, from a computer, an event predicate and a user ID corresponding to the user, retrieving, from an index engine, a set of eligible frequency-capped contracts, wherein an eligible contract comprises at least one target predicate matching at least a portion of the event predicate, and probabilistically selecting for serving, in a computer, the booked contract having a frequency cap specification, only when the selected frequency-capped contract can be served to the user without violating the frequency cap specification. Exemplary embodiments include generating a pseudo-random number sequence, and then selecting a particular pseudo-random number from the series of pseudo-random numbers, the selected particular pseudo-random number being based on the user ID, a visit count, a URL.
    • 一种计算机实现的方法和显示广告服务器网络,用于向系统中的用于向用户传送显示广告的频率上限的保证递送合同提供展示机会。 该方法包括从计算机接收与用户相对应的事件谓词和用户ID的步骤,从索引引擎检索一组合格的频率上限合同,其中符合条件的合同包括至少一个目标谓词匹配 至少部分事件谓词,并且在计算机中概率地选择用于服务具有频率上限规范的预约合同,只有当所选择的频率上限的合同可以在不违反频率上限规范的情况下被提供给用户时。 示例性实施例包括生成伪随机数序列,然后从所述一系列伪随机数中选择特定的伪随机数,所选择的特定伪随机数基于用户ID,访问次数,URL。
    • 5. 发明申请
    • Mass-Based Approach for Serving Impressions in Guaranteed Delivery Advertising
    • 在保证投放广告中提供印象的基于质量的方法
    • US20110246307A1
    • 2011-10-06
    • US12751693
    • 2010-03-31
    • Martin ZinkevichJayavel ShanmugasundaramSergei VassilvitskiiErik Vee
    • Martin ZinkevichJayavel ShanmugasundaramSergei VassilvitskiiErik Vee
    • G06Q30/00
    • G06Q30/0264G06Q30/02
    • A computer-implemented Internet advertising method for serving impression opportunities in a system for delivery of display advertising. The likelihood that a booked contract could be served by a future forecasted user visit is calculated as a probability mass, and associated with the booked contract. The relative sizes of the probability masses of a plurality of eligible contracts is used as a selector in conjunction with a selected pseudo-random number. In exemplary embodiments, a server is configured for receiving an event predicate as a result of a user visit to a web site. Based on the received event predicate, a set of eligible contracts is assembled. Each eligible contract is assigned to exactly one interval selected from a range, the size of the interval corresponding to the probability mass of the eligible contract. The generated pseudo-random number is used for selecting an interval, which operation selects an eligible advertisement for display.
    • 一种用于在用于传送显示广告的系统中的印象机会的计算机实现的互联网广告方法。 未来预测的用户访问可能提供预订合同的可能性计算为概率质量,并与预定的合同相关联。 将多个合格契约的概率质量的相对大小与所选择的伪随机数一起用作选择器。 在示例性实施例中,服务器被配置为作为用户访问网站的结果来接收事件谓词。 根据收到的事件谓词,汇总了一组符合条件的合同。 每个符合条件的合同都被分配到从一个范围中选择的一个间隔,该范围是与合格合同的概率质量相对应的间隔的大小。 生成的伪随机数用于选择间隔,该间隔选择合格的广告进行显示。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR FINDING UNEXPECTED, BUT RELEVANT CONTENT IN AN INFORMATION RETRIEVAL SYSTEM
    • 发现信息检索系统的系统和方法,但相关内容
    • US20110179019A1
    • 2011-07-21
    • US12688364
    • 2010-01-15
    • Sihem Amer-YahiaSergei VassilvitskiiCong Yu
    • Sihem Amer-YahiaSergei VassilvitskiiCong Yu
    • G06F17/30
    • G06F17/30867
    • An improved method for information retrieval in web query and recommendation systems, where items that are likely unfamiliar to the users of the system, but potentially relevant, are recommended. In a recommendation system having ratings by a plurality of users for a plurality of items, items are assigned to one or more data regions based on item attributes or user activity. Source regions are identified for each of the data regions. For a given user, data regions with which both the user and the user's social network are unfamiliar are identified. Within a given data region, the relevance of items to the user within such regions is evaluated using ratings provided by other users who have entered ratings similar to the user in source regions for the data region. Items receiving the highest relevance score are recommended to the user.
    • 一种改进的Web查询和推荐系统中的信息检索方法,推荐系统用户可能不熟悉的项目。 在具有用于多个项目的多个用户的评级的推荐系统中,基于项目属性或用户活动将项目分配给一个或多个数据区域。 为每个数据区域识别源区域。 对于给定的用户,识别用户和用户的社交网络不熟悉的数据区域。 在给定的数据区域内,使用在数据区域的源区域中输入与用户类似的评级的其他用户提供的评级来评估项目对这些区域内的用户的相关性。 建议用户接收到最高相关性分数的项目。
    • 10. 发明申请
    • EXTENDED GENERALIZED SECOND PRICE AUCTION FOR SPONSORED SEARCH WITH RESERVE PRICES
    • 扩展的第二次价格拍卖,用于保留价格的赞助搜索
    • US20100125506A1
    • 2010-05-20
    • US12274464
    • 2008-11-20
    • Sergei VassilvitskiiColin BradyRica Gonen
    • Sergei VassilvitskiiColin BradyRica Gonen
    • G06Q30/00
    • G06Q30/08G06Q30/02G06Q30/0273G06Q30/0601
    • Search engines and sponsored search auctions are provided that enable the use of different reserve prices corresponding to different advertisement slots on a search results page. In one implementation, a search engine includes a query processor and a sponsored search auction. The query processor is configured to receive a query from an electronic device associated with a user, to determine a plurality of reserve prices corresponding to a plurality of advertisement slots of a search results page, and to determine a plurality of bid prices for the advertisement slots of the search results page corresponding to a plurality of bidders. The sponsored search auction is configured to allocate a bidder or a null (e.g., no advertisement) to each advertisement slot of the search results page, taking into account the plurality of reserve prices associated with the advertisement slots of the search results page.
    • 提供搜索引擎和赞助商搜索拍卖,可以在搜索结果页面上使用与不同广告位相对应的不同预留价格。 在一个实现中,搜索引擎包括查询处理器和赞助的搜索拍卖。 查询处理器被配置为从与用户相关联的电子设备接收查询,以确定对应于搜索结果页面的多个广告时隙的多个预留价格,并且确定广告时隙的多个投标价格 对应于多个投标者的搜索结果页面。 赞助搜索拍卖被配置为考虑到与搜索结果页面的广告时隙相关联的多个预留价格,将搜索者或搜索结果页面的每个广告时段的空值(例如,无广告)分配。