Abstract:
Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.
Abstract:
In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.
Abstract:
Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.
Abstract:
In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.
Abstract:
Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.
Abstract:
In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.
Abstract:
Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.
Abstract:
Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.
Abstract:
Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.