Implementations are described for determining, based on a user-assembled collection of electronic content items, at least one actual purpose for the assembled collection. Those implementations are further directed to selecting an additional electronic content item based on the at least one actual purpose being assigned to the additional electronic content item in an electronic database. Those implementations are yet further directed to, responsive to the selecting, causing a suggestion for the additional electronic content item to be rendered at a client device associated with a user account that is assigned to the user-assembled collection.

An example system may include instructions to control processor(s) to receive text from content of a first web page, determine, based on the content, a first title topic indicator, a first sentiment indicator, and a first text subjectivity indicator, apply the first title topic indicator, the first sentiment indicator, and the first text subjectivity indicator to a credibility machine learning model to generate a first content credibility score and a first content bias score for the text of the first web page, the credibility machine learning model being trained on text from other web pages using known title topic indicators, known sentiment indicators, and known text subjectivity indicators, and known credibility scores and bias scores, generate a first graphical representation for the first content credibility score and the first bias credibility score, and provide the graphical representation to a first digital device.

The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.

The embodiments herein provide a system and a method for enhancing audience reach and brand promotion in social media marketing by including social media messages like Twitter® messages into television channels. The method effectively promotes brands, sale offers, discount deals, and social contests to the people who are beyond internet's reach. The system automatically collects Twitter® messages posted by the users and telecasts the messages on selected TV channels as banners while viewers watch programs on TV. The system generates positive brand awareness among people by telecasting the tweets having the most positive reviews about a particular brand or event. The system detects and telecasts the most relevant tweets of a particular event or a brand using hashtags created in the tweets for brands or event names.

Ad rendering parameters for a set of two or more ads may be determined by (a) accepting, for a set of two or more ads, ad information which includes at least one ad feature having a value that depends on ad rendering parameters, and (b) determining ad rendering parameters for at least one ad from the set of two or more ads using the accepted ad information. The act of determining ad rendering parameters may use accepted ad rendering constraints. The ad rendering constraints may include space available for rendering the ads, a footprint available for rendering the ads, and/or a maximum number of ads permitted to be rendered. The act of determining ad rendering parameters may include maximizing a value associated with serving at least one ad from the set of two or more ads with ad rendering parameters subject to the ad rendering constraints. The ad rendering parameters may include sizes of the served ads, and/or a layout of the served ads.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for broadcasting audio. In one aspect, the method includes receiving, from a server by a smart broadcasting device associated with a service client, an audio broadcast instruction; in response to receiving the audio broadcast instruction, downloading an audio file corresponding to the audio broadcast instruction, wherein the audio file comprises a marketing content related to services provided by the server to the service client associated with the smart broadcasting device; and broadcasting, by the smart broadcasting device, the audio file by using a speaker of the smart broadcasting device.

Techniques and systems are described for content interest from interaction information. Keywords are extracted from digital content, and relevance values are determined based on the keywords that captures both the statistical and semantic significance of topics in the digital content through use of a network representation. Interest values for an entity are determined based on the relevance values and an interaction dataset, which capture both the statistical and semantic significance of the topics with respect to the entity. The interest values may be utilized to control output of digital content to a client device.

One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for broadcasting audio. In one aspect, the method includes receiving, from a server by a smart broadcasting device associated with a service client, an audio broadcast instruction; in response to receiving the audio broadcast instruction, downloading an audio file corresponding to the audio broadcast instruction, wherein the audio file comprises a marketing content related to services provided by the server to the service client associated with the smart broadcasting device; and broadcasting, by the smart broadcasting device, the audio file by using a speaker of the smart broadcasting device.

An iterative method for optimizing targeted advertisement distribution for a social network including a plurality of users, the method including the steps of creating a user summary for a user by extracting persona attributes of a user account, generating a promotion summary for each of a plurality of advertisements, selecting an advertisement for the user based on the similarity between the promotion summary of the advertisement and the user summary, assessing a user reaction to the advertisement, and updating the user summary and promotion summary based on the user reaction.