Abstract: Methods and apparatus for delivering content to an audience member via one or more mediums based on an audience member profile are disclosed. Profile data for audience members may be initially collected from an offline source, such as a registration or subscription database. The profile data may be stored in a dedicated database. The initial profile data may be supplemented periodically with data reflecting online activity by the audience member. The combined offline and online profile data may be used to group the audience members into segments. Audience member segments may be used to identify audience members who are targeted to receive like content. An audience member's inclusion in a segment may be indicated by storing a segment-targeting cookie on the audience member computer. Content may be delivered to the audience member based on identification of the segment in the segment-targeting cookie.

Abstract: Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising slots while watching playable media content via a set-top box. The method may further include receiving a request for playable media content and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating datagrams that include the desired content and the non-intrusive advertising content. The datagrams may be concatenated with the playable media content to generate displayable content. The display content may then be provided for displaying.

Abstract: One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Abstract: In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and/or skip events. Accidental click probabilities associated with the accidental click events and/or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and/or third labels associated with the accidental click events and/or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

Abstract: Systems and methods are disclosed for executing an online auction of diverse online advertisements. One method includes receiving inventory information for serving ads on a publisher web page, the inventory information including at least a first ad configuration different from a second ad configuration, each of the first and second ad configurations defining one or both of an ad size and an ad attribute; receiving or generating a plurality of ad bids to serve ads in the first ad configuration and to serve ads in the second ad configuration; and awarding impressions to one or both of the bids to serve ads in the first ad configuration and the second ad configuration, in a proportion based at least in part on a revenue amount associated with the bids to serve ads in the first ad configuration and bids to serve ads in the second ad configuration.

Abstract: Systems and methods are disclosed for attributing web traffic to an advertising spot. The method may include receiving traffic data for a web page from a server associated with an advertiser and receiving, from a log provider, a log of a plurality of advertising spots related to the advertiser. A duration of time as a peak may be designated to identify the amount of traffic that is attributable to the one of the plurality of advertising spots.

Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.

Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.

Abstract: Systems and methods are provided for tracking sharing of an electronic content. An exemplary method may include receiving a request to access content associated with a web address by a user. Based on a unique identity assigned to the user and the web address, a unique tracking web address may be generated. This tracking web address may be shared with additional users. As other users request content associated with the tracking web address, information regarding the sharing of the electronic content may be determined and stored, allowing for tracking of sharing behavior of users.

Abstract: Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

Abstract: Methods for creating and updating rules for distribution of an online advertising inventory. The methods can include generating a rule conditions section of a GUI that is configured to display a plurality of parameters of a rule condition of a rule for distribution of an online advertising inventory. Each displayed parameter of the rule condition can be graphically represented by a basic shape (e.g., a hexagon). And, each basic shape of the rule condition can be labeled with an alphanumerical indication of the graphically represented parameter and can also be clustered together in the GUI. The methods can also include generating a rule summary section of the GUI that is configured to display a plurality of rule conditions of a rule. The methods can also include generating a rules list section of the GUI that is configured to display a plurality of rules for distribution of inventory.

Abstract: The present teaching relates to method and system for evaluating a conversion. The method extracts meta-information including a conversion parameter and a reward. The meta-information corresponds to a conversion associated with an advertisement displayed previously by a plurality of entities. The method receives a plurality of claims for the conversion from one or more entities, and selects a claim corresponding to an entity from the plurality of claims based on the conversion parameter and information included in the plurality of claims. Further, the method transmits information related to the selected claim.

Abstract: A system for generating a cluster profile is provided. The system may include a server and a database. The server may be configured to receive event information from a plurality of consumer devices. The database may store a plurality of member profiles. The server may be configured to retrieve the member profiles from the database and may determine a subset of member profiles to associate with a cluster; the server may calculate an intersection of the facts from the subset of member profiles and may generate a cluster profile based on the intersection of the facts from the subset of member profiles.

Abstract: Systems and methods are disclosed for online distribution of content by receiving, from a user's mobile device, a request for a web page hosted by a publisher's CMS; applying a rules engine to analyze a received URL according to a set of rules identifying one or more website types and/or referrers; if the received URL satisfies the rules engine, redirecting the received request to a syndication server system hosted within a global CDN; adding a URL of the web page to a missing content queue and redirecting the request to the publisher's CMS if the CDN syndication server does not contain a suitable mobile-formatted version of the web page; and delivering a package of binary compressed content of the web page to a stub page cached at the user's mobile device by the CDN syndication server, using recirculation and monetization components chosen by the publisher.

Abstract: One or more computing devices, systems, and/or methods are provided. A request for content associated with a device and/or a set of request information associated with the request for content may be received. A content item may be transmitted to the device. A set of client information associated with the device may be received. The set of client information may be analyzed to determine a fraudulence label associated with the request for content. Fraud detection information generated based upon the set of request information, the set of client information and/or the fraudulence label may be stored in a fraud detection database. A second request for content associated with a second device and/or a second set of request information associated with the second request for content may be received. A second fraudulence label may be determined based upon the second set of request information and/or the fraud detection database.

Abstract: Systems and methods are disclosed for managing online advertising data secure sharing. One method includes receiving, at a server, a request for proprietary data from a data consumer, the request including a data consumer identifier; retrieving, from a database of proprietary data, proprietary data based on the request; determining, by the server, whether the retrieved proprietary data is at least one of: designated to be processed and designated to have privileges set; processing, by the server, the proprietary data when the server determines the proprietary data is designated to be processed; setting one or more privileges to the proprietary data using the certificate associated with the data consumer identifier when the server determines the proprietary data is designated to have privileges set; encrypting the proprietary data using the certificate associated with the data consumer identifier; and transmitting the encrypted proprietary data to the data consumer.

Abstract: Systems and methods are disclosed for determining an estimate of available user impressions on a network, comprising receiving a request for an estimate of available user impressions for viewing one or more media elements on a network, the request comprising one or more viewer demographic group limitations. A request may be received to include deterministic users and probabilistic users in the estimate of available user impressions. A number of deterministic users may be determined based on query results from a deterministic user data set. A number of probabilistic users may be determined based on query results from a probabilistic user data set, and the estimate of available user impressions may be determined based on the number of deterministic users and the number of probabilistic users.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: Systems and methods are disclosed for protecting user privacy in, for example, online advertising environments. The method includes receiving data related to a user in a first communication session between a host server and a client device, and generating a user profile associated with the user. The method further may include encrypting the user profile to produce encrypted user profile data and generating a decryption key for decrypting the encrypted user profile data. Thereafter, either the decryption key or a portion of the encrypted user profile data may be transmitted to the client device and then deleted from host server before ending the first communication session. The method further may include establishing a second communication session between the host server and the client device and retrieving the transmitted content. Then targeted advertising may be provided by decrypting the encrypted user profile data.

Abstract: Systems and methods are provided for controlling an online advertising campaign. In one embodiment, a computer-implemented method for controlling an online advertising campaign includes receiving a feedback signal reflecting delivery of the online advertising campaign, and comparing the feedback signal to a delivery reference to generate a campaign level control signal. The method further includes receiving a maximum impression bid price for an inventory unit of the online advertising campaign, the maximum bid price for the at least one inventory unit being set by a user, and calculating, using at least one processor, at least a final bid price based on the maximum bid price, on the campaign level control signal, and on an optimization objective for the online advertising campaign, the optimization objective being set by the user. The method also includes submitting, to an electronic market and based on the calculated final bid price, a bid on an impression from the inventory unit.