A method including obtaining historical revenue per click (RPC) data. The method also can include generating hourly RPC prediction data for a predetermined time period based on the historical RPC data. The method additionally can include determining (i) time intervals from within the predetermined time period and (ii) a respective modifier for each of the time intervals, based on the hourly RPC prediction data. The acts method can include uploading the time intervals and the respective modifiers for the time intervals to a dayparting system of a search engine. Other embodiments are described.

A method includes posting, by a first user, a first item of content, to which a second user responds with a second item of content and a gift or bid; the first user responds to the second item of content with a third item of content, resulting in a concatenation of the first, second, and third items of content and a transfer of the gift or bid from the second user to the first user. The method includes posting, by a user, gifts or bids upvoting the second item of content. The method includes the first user posting a tag designating a user who may post an item of content that will be included in the concatenation. The method includes the first user posting a tag designating a user who shall receive all the gifts or bids posted on any of the items of content. The method includes posting, by a user, an item of content responding to the second item of content and a gift or bid; the second user responds to the sixth item of content with a seventh item of content, resulting in a concatenation of the second, sixth, and seventh items of content and a transfer of the gift or bid from the user who posted the sixth item of content, to the second user.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

A method implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include monitoring periodically whether a respective recommended bidding price update for a campaign type for a user is required for a respective department of campaign departments based on a respective landscape distribution of respective bidding prices for the campaign type for the respective department. The method further can include, after determining that the respective recommended bidding price update is required for the campaign type for the respective department, determining a respective recommended bidding price for a respective target of the respective department based at least in part on the campaign type for the respective target by: (a) determining a respective bidding function for the respective target of the respective department based on the campaign type; and (b) determining the respective recommended bidding price by solving, by using the one or more processors, the respective bidding function for the respective target of the respective department based at least in part on a respective campaign demand, a respective expected performance, a respective winning rate, and a respective cost for the respective target for the user. The method additionally can include, after determining that the respective recommended bidding price update is not required for the campaign type for the respective department, determining that the respective recommended bidding price for the respective target of the respective department for the user is a respective prior bidding price for the respective target without solving the respective bidding function. Other embodiments are described.

Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

A first processor-accessible memory device system and a second processor-accessible memory device system of a self-regulating transaction system may each store a respective local copy of one or more transaction ledgers that record transactions. A first data processing device system may be configured to generate a transaction information block associated with a particular market channel, store it in the local copy of a transaction ledger associated with the particular market channel stored in the first processor-accessible memory device system, and transmit it to a second data processing device system over a communications network for storage in the local copy of the transaction ledger associated with the particular market channel stored in the second processor-accessible memory device system.

The present disclosure is directed to methods for identifying a user by a demand side platform (DSP) across advertiser exchanges. The method includes establishing, by a DSP, a cookie mapping for a user. The cookie mapping includes a mapping of user identifiers for the user from advertisement exchanges to a user identifier assigned by the DSP for the user. The DSP stores to the cookie mapping a first mapping to the user identifier of the DSP, comprising a first user id received by a bidder from a first exchange and a first exchange id for the first exchange. A bidder inserts a pixel into a bid for an impression opportunity to a second exchange. The pixel includes a key to the cookie mapping and a second user id for the user and a second exchange id. The second user id is received by the bidder from a second exchange.

Methods and systems are described herein for risk-adjusted predictive bidding for electronic advertisements. A first computing device receives, from a requesting device loading a webpage, a first request for graphical display source code corresponding to a computerized graphical advertisement display to be inserted into one or more impression opportunities on the webpage. A second computing device coupled to the first computing device transmits a second request to a plurality of third-party computing devices for one or more bids for an impression opportunity of the one or more impression opportunities. The second computing device receives the one or more bids from the third-party computing devices and adjusts at least one of the one or more bids based upon a risk factor received from the third-party computing device that submitted the corresponding bid. The first computing device determines whether to select the impression opportunity based on the adjusted one or more bids.

The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting content items for presentation along with publisher resources. In one aspect, a method includes receiving a request for a content item for presentation at a user device with a publisher resource; receiving, from a content item provider a first selection value for each of a plurality of content items provided by the content item provider; determining, for each of the content items and using accessed distribution parameters, a second selection value distinct from the first selection value; and determining, for each of the content items and independent of a bid corresponding to the content item, a combined selection value based on the first selection value for the content item and the second selection value for the content item.