Abstract: One variation of a method includes: receiving a request for advertising content from an ad slot loaded with a webpage rendered by a computing device; accessing a set of ad slot characteristics including an address of the webpage; extracting a set of visual assets, representing advertising content, from a digital advertisement selected for presentation within the ad slot; selecting a presentation layer, in a set of presentation layers, for pairing with the digital advertisement based on the set of visual assets and the set of ad slot characteristics, the presentation layer defining an interactive format and a layout of visual assets within the interactive format; transforming the digital advertisement into an interactive advertisement according to the presentation layer; and rendering the interactive advertisement within the ad slot responsive to an event that moves the ad slot within a viewing window of the computing device.

Abstract: One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the adver

Abstract: One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the adver

Abstract: One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the adver

Abstract: One variation of a method for modeling mobile advertisement consumption includes: serving a first advertisement in an advertising campaign to a computing device associated with a user, accessing a first set of engagement data, recorded by the first advertisement, representing a first set of interactions between the user and the first advertisement at the computing device; accessing a model linking user interactions with a set of advertisements within the advertising campaign and a target outcome for the advertising campaign; estimating a predicted set of interactions between the user and a second advertisement in the advertising campaign based on the model and the first set of engagement data; and in response to the predicted set of interactions anticipating the target outcome, serving the second advertisement, in the advertising campaign, to the user.

Abstract: Embodiments determine failures of a network element (NE) in an outside plant utilizing a connectivity trail that indicates NEs starting at the headend and ending at a distribution tap that serves one or more customer premise devices associated to a customer account. Embodiments determine a failed NE that serves the highest number of customers for which a trouble is reported to a ticketing system. Embodiments avoid reporting downstream child NEs that may be performing poorly due to the upstream failed parent NE. Embodiments associate the one or more customer premise devices, and a customer account with respective NEs of the connectivity trail, perform operational metric tests to determine whether a customer premise device associated with a customer account has failed, determine when an NE of the connectivity trail has failed. Embodiments also include rebooting the failed NE and/or notifying a ticketing system accordingly.

Abstract: One variation of a method for modeling mobile advertisement consumption includes: serving a first advertisement in an advertising campaign to a computing device associated with a user, accessing a first set of engagement data, recorded by the first advertisement, representing a first set of interactions between the user and the first advertisement at the computing device; accessing a model linking user interactions with a set of advertisements within the advertising campaign and a target outcome for the advertising campaign; estimating a predicted set of interactions between the user and a second advertisement in the advertising campaign based on the model and the first set of engagement data; and in response to the predicted set of interactions anticipating the target outcome, serving the second advertisement, in the advertising campaign, to the user.

Abstract: Embodiments determine failures of a network element (NE) in an outside plant utilizing a connectivity trail that indicates NEs starting at the headend and ending at a distribution tap that serves one or more customer premise devices associated to a customer account. Embodiments determine a failed NE that serves the highest number of customers for which a trouble is reported to a ticketing system. Embodiments avoid reporting downstream child NEs that may be performing poorly due to the upstream failed parent NE. Embodiments associate the one or more customer premise devices, and a customer account with respective NEs of the connectivity trail, perform operational metric tests to determine whether a customer premise device associated with a customer account has failed, determine when an NE of the connectivity trail has failed. Embodiments also include rebooting the failed NE and/or notifying a ticketing system accordingly.

Abstract: Embodiments detect issues in an outside plant utilizing a connectivity trail that indicates network elements (NEs) starting at the headend and ending at a distribution tap that serves one or more customer premise devices associated to a customer account. Embodiments determine a failed NE that serves the highest number of customers for which a trouble is reported to a ticketing system. Embodiments avoid reporting downstream child NEs that may be performing poorly due to the upstream failed parent NE. Embodiments associate the one or more customer premise devices, and a customer account with respective NEs of the connectivity trail, perform operational metric tests to determine whether a customer premise device associated with a customer account has failed, determine when an NE of the connectivity trail has failed. Embodiments also include rebooting the failed NE and/or notifying a ticketing system accordingly.