Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.

Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.

A viewing abandonment factor estimation device includes a memory; and a processor configured to include an estimation model for estimating a factor, the estimation model including a plurality of feature quantities measurable for viewing of a video relevant to an adaptive bit rate video distribution as inputs and the factor of the viewing abandonment in the viewing as an output.

A method of assigning advertisements to slots in video channels of a bundle of channels provided to an end user. The method includes managing credits, for each specific channel of the channels, indicative of a difference between a number of advertisements provided by an owner of the specific channel that were displayed on other channels and a number of advertisements provided by owners of other channels displayed on the specific channel In addition, scores indicative of a predicted success of the advertisement with the end user are calculated for a plurality of advertisements. An advertisement to be displayed to the end user is selected responsive to a function of both the calculated scores and the managed credits.

Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Methods, systems, and media for presenting notifications indicating recommended content are provided. In some implementations, a method for presenting notifications of recommended content is provided, the method comprising: receiving an indication that a user device has initiated a casting session with at least one display device, wherein the indication includes an identifier of media content presented on the at least one display device during the casting session; storing the indication in a log in association with an identifier of the user device; receiving, from the user device, a request for recommended content to be presented on the at least one display device associated with the user device; in response to receiving the request, identifying a group of media content items based on at least one media content item that has been previously selected by a user account associated with the user device and based on an identifier of the at least one display device; generating a notification that includes an indication of the identified group of media content items and a selectable input that, when selected, causes the identified group of media content items to begin being presented on the at least one display device; and transmitting the notification to the user device, wherein transmitting the notification to the user device causes the notification to be presented on the user device.

Implementations disclose methods and systems for providing a media item at an adjusted playback. A method includes receiving, from a first user device, a playback request from a first user for a first media item including one or more portions of media content; determining an adjusted playback for at least one portion of the first media item that is different than a default playback for the at least one portion of the first media item. The determining is based on previous playback behavior of one or more users in relation to one or more media items that each included one or more portions of media content corresponding to the one or more portions media content of the first media item; and causing the at least one portion of the first media item to be rendered on the first user device at the adjusted playback.

A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

Systems and methods for generating media program keywords based on a video-hosting website are disclosed herein. Control circuitry identifies, on the video-hosting website, video content items that include at least a portion of a media program. The media program has a media program identifier and the video content items have respective titles, each including one or more terms. The control circuitry identifies a term included in more than one of the titles and identifies a group of the video content items that have the term included in their title. Based on the video-hosting website, the control circuitry determines a cumulative number of rankings of the video content items within the group and generates a relevance score for the term based on the cumulative number of rankings. The control circuitry stores the term and the relevance score in a keyword database in association with the media program identifier.

Systems and methods for frequency management, including: an online media service configured to: receive a request for a media item, the request including a recipient identifier; identify a set of candidate media items ranked by a set of matching criteria; a frequency management service configured to: perform a query against a lookup service, where the query includes (i) an entity identifier of at least one candidate media item of the set of candidate media items, and (ii) the recipient identifier; receive a response from the lookup service including a quantity of impressions associated with the entity identifier and the recipient identifier; identify a predefined frequency threshold; determine that the frequency threshold is exceeded and exclude the at least one candidate media item from a result set based on the determination; and provide the result set including an identifier of at least one other candidate media item.