Apparatus and associated methods relate to a rewarded viewing video distribution system configured to reward a user for viewed video content based on presenting video content to a user, assigning the user rewards generated based on the value of the video portion viewed, and automatically presenting the user with marketplace credit to spend the rewards. In some embodiments, the viewed video portion value may be determined as a function of a predetermined reward threshold. In an illustrative example, the predetermined reward threshold may be the video percentage viewed. Various implementations may employ a reward threshold based on advertisements viewed, permitting advertisement spending adapted as a function of verified advertisement views. Some examples may reward views using a video player plug-in. Some embodiments may permit a user to spend viewing rewards on affiliated partner services or products. Various examples may advantageously provide earned rewards spendable via an integrated rewards spending gateway.

A method for exposing online content is provided, including outputting a first interstitial user interface, outputting an interstitial content in a process of transition from the first interstitial user interface to a second interstitial user interface, and outputting a portion of the second interstitial user interface on a portion of the interstitial content to allow a user to recognize the second interstitial user interface.

Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (201); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information (202) of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

A cross-entity and cross-retailer platform is provided that captures transaction data (and/or browser history data associated with online browser-based transactions), indexes, and stores the data in a cloud-accessible data store. A cloud service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service discovers and updates trends and patterns associated with item sales for a given retailer or for a given entity across channels associated with in-store and online item sales. The trends and patterns are dynamically reported to the corresponding entity or the corresponding retailer. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.

An orthogonal or multi-dimensional fabric interface is described herein to select and present content to a user. A location is determined and time is selected for the user. The multi-dimensional fabric is accessed for content based the determined location and the selected time. If content is stored in the multi-dimensional fabric at the determined location and the selected time, the user is notified of the content, which can then be presented to the user.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

The presently disclosed subject matter aims to provide a system and method for detecting potential ad frauds by determining color content resemblance of at least one pixel of an ad media displayed within at least one given placement on a plurality of user devices, and a desired color of the at least one pixel.

Systems and methods are provided herein for determining personalized timing for generating for display advertisements to users. Rather than an expert determining time segments of a media asset most suitable for presenting advertisements to users, the most suitable time segments in a media asset for presenting advertisements to users may be customized based on a user's profile information and/or the user's level of engagement in a media asset. The media guidance application may parse a media asset into multiple time segments and determine one or more time segments associated with metadata that matches content characteristics preferred by the user. One or more advertisements may be presented to the user in these time segments determined by the media guidance application instead of the time segments determined by the expert.

Systems and methods are provided herein for determining personalized timing for generating for display advertisements to users. Rather than an expert determining time segments of a media asset most suitable for presenting advertisements to users, the most suitable time segments in a media asset for presenting advertisements to users may be customized based on a user's profile information and/or the user's level of engagement in a media asset. The media guidance application may parse a media asset into multiple time segments and determine one or more time segments associated with metadata that matches content characteristics preferred by the user. One or more advertisements may be presented to the user in these time segments determined by the media guidance application instead of the time segments determined by the expert.

In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for generating predicted information related to advertisement viewability are provided.