Dynamic header bidding configuration

    公开(公告)号:US12131352B2

    公开(公告)日:2024-10-29

    申请号:US17670748

    申请日:2022-02-14

    申请人: CADENT, LLC

    CPC分类号: G06Q30/0275 G06Q30/0277

    摘要: Dynamic header bidding configuration is disclosed. For example, ad slot entries associated with ad slots in a web content, further associated with ad identifiers and ad sizes are received. Header bidding partners associated with an ad slot entry are received, each partner associated with a parameter. The partners, parameters, ad slot entries, ad identifiers, and ad sizes are recorded as a configuration associated with the web content. A script associated with the configuration, further associated with a page of the web content including an ad slot associated with the ad slot entry is generated. The configuration is sent to a client device that invokes the script by loading the first page, and an ad from a partner is displayed in an ad impression of the ad slot on the client device based on a response to a notice sent to at least two partners.

    Artificial intelligence techniques for bid optimization used for generating dynamic online content

    公开(公告)号:US12131350B2

    公开(公告)日:2024-10-29

    申请号:US17403702

    申请日:2021-08-16

    申请人: Adobe Inc.

    摘要: Techniques are disclosed for real-time bidding (e.g., for dynamic online content placement) using an optimized final bid. The final bid is determined based on a predicted clearing price and an initial bid. The initial bid represents a value to a prospective content provider, and may be computed based on campaign information. The predicted clearing price is a predicted amount paid, and may be predicted using a model trained using historical winning bids data. The clearing price may be predicted using a quantile regression model, where the quantile can be selected to control bid aggressiveness. In some cases, the quantile is determined based on pacing in an overall campaign. Once the initial bid and the predicted clearing price are calculated, the final bid is computed based on the initial bid and the predicted clearing price.

    PRUNING FIELD WEIGHTS FOR CONTENT SELECTION
    4.
    发明公开

    公开(公告)号:US20240354811A1

    公开(公告)日:2024-10-24

    申请号:US18761132

    申请日:2024-07-01

    申请人: Yahoo Assets LLC

    摘要: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

    SYSTEM AND METHOD FOR PURCHASING ADVERTISEMENTS ASSOCIATED WITH WORDS AND PHRASES

    公开(公告)号:US20240338734A1

    公开(公告)日:2024-10-10

    申请号:US18742055

    申请日:2024-06-13

    发明人: Peter Sweeney

    摘要: Disclosed is a system and method for enhancing value for advertisers by helping them select and initiate the purchase of an advertisement associated with an advertising (ad) words or phrases that have strong semantic relationships to a given context, but which are not necessarily the most popular ad words or phrases with the highest costs. Advertisements associated with ad words or phrases that have strong semantic relationships to a given context, and yet are still cost effective in that their calculated value exceeds the costs of purchasing the ad keywords, are bid for and bought. In an embodiment, the system and method may be adapted to automatically purchase advertisements associated with ad words or phrases when the ad words or phrases fall within a desired price range based on their calculated value. As the prices of advertisements associated with these words or phrases fluctuate over time based on their popularity of the words or phrases, the automated bidding and buying of advertisements may be used to purchase advertisements associated with words or phrases at a price desirable to a given ad purchaser. By automatically purchasing such advertisements, the return on investment (ROI) for an advertiser may be improved.

    Reward system for micro influencers in a social media marketing campaign

    公开(公告)号:US12086837B2

    公开(公告)日:2024-09-10

    申请号:US18069340

    申请日:2022-12-21

    申请人: SPACO LLC

    摘要: A business accesses a campaign server and inputs information relevant to a marketing campaign. The server sends invitations to social media influencers, who then post content to various platforms to influence customers to act in ways beneficial to the business, either by further advancing the marketing campaign or by actually generating revenue for the sponsor. The system tracks the social media reactions of customers (likes, shares, etc.), as well as real-world activity (product purchases, physical attendance at advertised locations, etc.), attributable to each influencer, and points are awarded based on the activity they generate among customers. The points are weighted according to the type of activity generated and/or the social media platforms on which the activity is generated, and the running point totals of the influencers are published to foster competition among them. A total reward is allocated and paid to the influencers according to their relative total accumulated points.