An online system, such as a social networking system, displays a plurality of advertisements to users. The system selects an ad to display to a user based on a bidding system. The system receives feedback and user engagement data for an ad to compare the ad to other ads that are targeted to a similar group of users, to generate a relevance score. The relevance score can be provided to an advertiser as a way to quantify the effectiveness of the ad, and it reflects user engagement with the advertisement. In some embodiments, a projected relevance score can be calculated for a prospective advertisement by analyzing the content of the prospective ad prior to receiving user engagement data by comparing the prospective advertisement's content to other ads for which user engagement data does exist.

A system and method for managing media advertising enterprise data including a process for learning enterprise data matching. An EDM (Enterprise Data Management) application module can be configured to include a set of rules at an enterprise level to manage disparate and disconnected records associated with an entity. A number of unmatched and enterprise entities that matches with respect to an active entity can be returned based on a fuzzy logic associated with various matching options stored in an EDM database. A matching process can then be performed to accurately match similar records regardless of manual input, location, and format of the records in a distributed system. Each unmatched record can then be assigned with a parent enterprise entity. Such an optimization mechanism can interactively manage and report records at the enterprise level in a simple and efficient manner.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes receiving user interaction data specifying user interactions with a publisher resource. A heat map specifying levels of user interaction with various portions of the publisher resource is created. Content item slot performance information specifying one or more performance measures for content items presented in various candidate content item slot locations are identified. One of the candidate content item slot locations is selected based on the heat map and the one or more performance measures. Data that cause presentation of suggestion information that identify the one candidate content item slot location as a suggested content item slot location are generated and output.

Systems and techniques are disclosed for positioning, based on a position velocity measure, related media content within a media outlet such as a website, a blog, an aggregation page, an application, or the like. The related media content may be related to a media content and may link to the media content, be a derivative of the media content, summarize the media content, or the like. A location within a media outlet for a related media content may be determined and the related media content may be published accordingly. The location of a related media content may be modified from a first location to a second location. The size of a related media content may be increased and/or a related media content may be highlighted. Further, techniques are disclosed for publishing related media content within a zone from a plurality of zones associated with a media outlet.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated management of campaigns using scripted rules.

Methods and apparatuses for sorting seller listings or advertisements of a seller network. In one embodiment, a method includes: determining an indicator of potential revenue for a first party from price information of a list of entities, wherein revenue generated according to the price information of at least some of the list of entities is to be split among a plurality of parties; and, sorting the list of entities into a first list based at least partially on the indicator of potential revenue.

Methods and systems have been provided for predicting viewership information for advertising events (e.g., during display of a media asset or within a media guidance application). Performance of an artificial neural network (ANN) based approach and a support vector machine (SVM) based approach have been described, along with a hybrid approach that combines information from the ANN and SVM approaches. These techniques described with the ANN and SVM are equally applicable to other machine learning techniques.

Methods and systems have been provided for matching advertising requests (e.g., for advertisements in an advertising campaign) to advertising events (e.g., during display of a media asset or within a media guidance application) based on predicted viewership information determined using machine learning techniques. Performance of an artificial neural network (ANN) based approach and a support vector machine (SVM) based approach have been described, along with a hybrid approach that combines information from the ANN and SVM approaches. These techniques described with the ANN and SVM are equally applicable to other machine learning techniques.

An electronic apparatus comprises: a display; a memory that stores a trained first artificial intelligence model; and at least one processor that acquires viewing group information of a user by inputting context information including profile information of the user and use history information of the electronic apparatus into the first artificial intelligence model, controls the display to display advertisement content identified on a basis of the obtained viewing group information, acquires feedback information of the user related to the displayed advertisement content, and updates the first artificial intelligence model to a second artificial intelligence model retrained on the basis of the input context information and the obtained feedback information.

A computer-implemented method for dynamic link redirection includes receiving a request to display online content to a user, determining a plurality of current content links in the online content, for each current content link among the plurality of current content links, performing operations including: obtaining current assessment parameters for the current content link, generating a current assessment for the current content link based on the current assessment parameters, obtaining a plurality of alternative content links based on the current content link, generating a plurality of alternative assessments for each alternative content link among the plurality of alternative content links based on respective alternative assessment parameters for the alternative content link, determining a selected content link among the plurality of alternative content links based on the current assessment and the plurality of alternative assessments, replacing the current content link in the online content with the selected content link, and displaying the online content to the user.