Abstract:
Methods and systems for predicting content consumption are provided herein. An application log of a user, comprising a user's application data, and a viewing log of the user, comprising the user's viewing data (e.g., television programs watched by the user), may be evaluated over a time period to construct a model. The model may comprise a correlation between the viewing log and the application log during the time period (e.g., what applications the user interacts with while watching a program). Second application data, regarding application usage of a second user, may be extracted. The model may be applied to the second application data to identify an expected viewing action of the second user (e.g., what program the second user is likely to watch during the time period based upon applications used by the second user). The second user may be provided with content related to the expected viewing action.
Abstract:
The present invention provides techniques for use in audience-related measurements, including hybrid techniques which include use of panel-based audience-related measurement information and census-based audience-related measurement information. Techniques are provided in which panel-based audience-related measurement information is obtained from multiple providing entities, and census-based audience-related measurement information is obtained one or more providing entities. The obtained information is stored in a database. The stored information may be provided to the information-providing entities, and may be used in calibrating or improving the accuracy of audience-related measurements.
Abstract:
The present teaching relates to analyzing user behavior associated with web contents. Information related to user interactions associated with a content item placed on a reference property is first obtained. A measurement associated with each user interaction of the content item is determined based on the obtained information. An analyzing model for the content item which characterizes statistics of the measurements associated with the content item is further constructed. A measurement threshold to be used to determine a cost of placing the content item on a target property is further determined using the constructed analyzing model.
Abstract:
Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.
Abstract:
Methods and systems for predicting content consumption are provided herein. An application log of a user, comprising a user's application data, and a viewing log of the user, comprising the user's viewing data (e.g., television programs watched by the user), may be evaluated over a time period to construct a model. The model may comprise a correlation between the viewing log and the application log during the time period (e.g., what applications the user interacts with while watching a program). Second application data, regarding application usage of a second user, may be extracted. The model may be applied to the second application data to identify an expected viewing action of the second user (e.g., what program the second user is likely to watch during the time period based upon applications used by the second user). The second user may be provided with content related to the expected viewing action.
Abstract:
The present invention provides techniques for use in audience-related measurements, including hybrid techniques which include use of panel-based audience-related measurement information and census-based audience-related measurement information. Techniques are provided in which panel-based audience-related measurement information is obtained from multiple providing entities, and census-based audience-related measurement information is obtained one or more providing entities. The obtained information is stored in a database. The stored information may be provided to the information-providing entities, and may be used in calibrating or improving the accuracy of audience-related measurements.
Abstract:
The present teaching relates to providing content supply adjustment. A first dataset associated with user interactions directed to one or more content items placed on a target property and a second dataset associated with user interactions directed to the one or more content items places on a reference property are received for evaluation. Further, a cost of placing the one or more content items on the target property is determined based on the first and second datasets.