A method includes storing interaction data related to a first user and at least one other user. The interaction data is indicative of interactions among mobile devices operated by the users. The method further includes generating respective ranking data for each of the other users besides the first user. The ranking data is derived from the interaction data pursuant to at least one ranking rule. In addition, the method includes storing transaction data for the other users. The transaction data indicates product purchases made by the other users. An offer or product recommendation is selected based at least in part on the ranking data and the transaction data. The offer or product recommendation is transmitted to the first user.

A computer-implemented method for controlling content distribution includes forwarding information associated with a user to a device operated by the user, the information being configured for use in selecting content from any of multiple content providers for a content distribution to the user. The method includes receiving, in response to the information, an edit of the information forwarded from the device. The edit identifies a first content provider and including a first modification of the content distribution regarding the first content provider. The method includes storing the edit in association with the information such that the first modification is taken into account in the content distribution. The method can be implemented using a computer program product tangibly embodied in a computer-readable storage medium.

Disclosed herein are aspects associated with contextual, or related, media enrichment presentation item of a media object served via the internet. A request to annotate a media object in connection with the media object's presentation is received, and a media object identifier and a profile identifier are obtained. The media object's information is retrieved using the media object identifier, and a profile is retrieved using the profile identifier. A response including one or more references to one or more media enrichment presentation items is transmitted, each reference to a media enrichment presentation item comprising information for use in retrieving the media enrichment presentation item for presentation in connection with presentation of the media object.

A computer-implemented method for intelligent casting of social media creators includes receiving, from a provider of goods or services, a request to match a social media post topic with a social media creator among a plurality of social media creators, accessing a database comprising a plurality of social media posts by the plurality of social media creators, analyzing each social media post among the plurality of social media posts, selecting a predetermined number of social media creators among the plurality of social media creators according a best match of the request to one or more attributes of each social media creator among the plurality of social media creators and the analysis of the plurality of social media posts, and returning a list of the selected social media creators.

Systems and methods are provided for creating personalized programs. In one implementation, a computer-implemented method is provided. According to the method, content is assembled into a personalized program. The method includes maintaining, in a storage device, transaction history information and preference information for a user. The method selects a plurality of content components based on at least one of the transaction history information and the preference information. The method then determines a sequence of the selected content components and assembles the selected content components according to the sequence as the personalized program.

The present technology relates to enhancing a message with supplemental content. The system may enhance a message based on topics identified in past correspondence messages or topics anticipated based on an intended recipient of a correspondence message being drafted. The system can operate in combination or conjunction with a language prediction system, an optimizing language model, and a text input method. The systems and methods provide users with supplemental content at a time and in a specific situation, which allows for effective targeting of content.

The disclosed technology is directed towards inserting user-personalized or other user-related supplementary media content into primary media content being presented to the user. The personalized media content can be inserted into available insertion slots associated with the primary media content. The inserted content is based on the context of the primary media, e.g., a location or theme of a movie scene. For example, upon obtaining primary media content that is video, supplementary media content related to a group of frames of the primary media content can be determined. Supplementary media content is combined with the primary media content at a presentation position associated with the group of frames to output modified media content. For a video, for example, the supplementary content can be inserted between scenes, overlaid onto a scene, or presented proximate a scene.

Systems and methods are described to provide additional relevant content to a viewer of digital media such as a webpage. A webpage being viewed is divided into regions and in each region, statistics are compiled on pertinent words and phrases. Statistically significant words and phrases are compared with semantically similar words and phrases in the additional content. Where there is a significant match between the viewed content and available additional content, the additional content is provided to the user.

A method of adapting an interactive user interface (UI) comprising monitoring textual content inputted to a user interface of an IM service by participant(s) of an IM session managed by the IM service, wherein the user interface is displayed on a display of a client device, performing an analysis of the textual content to identify query conditions defining at least one feature of the product or the service, generating an interactive UI according to at least a portion of the query conditions and an identity of the at least one participant, storing the adapted interactive UI to be available to a browser via a link, automatically inputting the link into the IM session so as to allow the participant(s) to access the adapted interactive UI using a browser running on the client device, and submitting an order based on completing data received from the participant(s) via the adapted interactive UI.

A method of providing advertisement content is provided. The method includes selecting at least some parts from among a plurality of parts of an advertisement target which are generated by segmenting an image of the advertisement target based on time, determining association data associated with the advertisement target, based on one or more of characteristics of the selected parts and context information indicating a condition where the advertisement content is displayed, and combining the selected parts and the determined association data to create the advertisement content.