Systems, apparatuses, and methods are described for determining a consumer's engagement with a brand of the business by tracking the consumer's activities in multiple platforms, such as social media platforms, content platforms, gaming platforms, other retailers, streaming video providers, service providers, etc. Method are described for probabilistically granting users variations of items that are otherwise being acquired. The granting may be random, but probabilities may be boosted based on the consumer's activities in the platforms.

An external content engine automatically monitors content items generated by external data sources such as online merchants, social networking platforms, and discussion forums for an entity. The monitored content items may include public messages such as posts, reviews, and comments. When a content item is identified that references or relates to the entity, natural language processing is used to determine if the content item has a positive or negative context. The external content engine may then determine an action to take based on the context and other factors such as a popularity or influence of the author of the content item.

Embodiments disclosed herein address these and other concerns by providing for means by which a customer's level of engagement with media can be determined. In particular, media and questions regarding the content of the media may be sent to a ticketing device and provided to the customer. The ticketing device can further obtain the customer's answers to the questions, and send the answers to a server, which can determine a level of engagement can be assessed from the answers and issue a discounted ticket. The amount of the discount may be proportional to the level of engagement.

A content recommendation system is disclosed that allows users to identify friends, recommend content to friends, and receive awards for influencing friends. Interfaces can be used to display rankings of recommended programs, user profiles and their awards, and dynamic chats relating to specific content.

A system and method to generate rewards to a plurality of users based on content consumption. The system includes a user registration module configured to register the plurality of users. The system also includes a content consumption data retrieval module is configured to retrieve consumption data of one or more multimedia contents. Each of the one or more multimedia contents includes a loyalty value. The system also includes a user score generation module is configured to generate a user score based on at least one of the one or more multimedia contents viewed by the plurality of users and the corresponding loyalty value of the one or more multimedia contents. The system also includes a reward generating module is configured to generate a plurality of rewards based on a generated user score.

A global computer network system includes a method and apparatus for writer compensation, a method and apparatus for reader rating and a method and apparatus for enabling readers to tip an author. The system further provides content organization according to user relationship and website community. Another feature effects content browsing by relationship of users in the system. The system provides determination of content scarcity and advertisement (ad inventory) scarcity. The system also includes user-specified comments or reader indications on system contents such as authored works and bookmarks.

A digital magazine system rewards a target user based on value of the target user's actions to the digital magazine system. The digital magazine system quantifies value of an action by the target user with a content item based on how much the action contributed to view of the content item by viewing users. For example, the digital magazine system determine value of a viewing user's view of a content item to which the target user's action contributed and also determines how much of the value is attributed to the target user's action. The digital magazine system aggregates value of actions performed by the target user in a particular period of time to obtain a user value of the target user. The digital magazine system rewards the target user based on the user value.

Distributed muster includes distributing to different mobile devices an identity of an assigned muster location of an ocean-going vessel, and associating each mobile device both with a corresponding passenger of the ocean-going vessel, and also with the assigned muster location. Thereafter, a timer initiates that defines a period during which a muster drill must be completed by all of the passengers and, in response, a message is transmitted to each mobile device that the muster drill has commenced. During the period, as each mobile device is sensed within a geographically defined area of a correspondingly assigned muster location, a record of the completion of the muster drill by the passenger associated with the sensed mobile device is recorded in the memory. As well, subsequent to a lapsing of the timer, a listing is displayed of any passenger not recorded as having completed the muster drill.

A system and method are provided for employing voice-activated user interfaces to determine user attention to particularly-presented advertising content by collecting user contact/consumer information, presenting content to the user/consumer, and proposing at least one question, inquiry or query to the user regarding the presented content, the at least one inquiry or query calling for a user/consumer response to be collected, at least one of (a) the user/consumer contact information and (b) the user/consumer response to the question, inquiry or query being collected by the system via a voice-activated user interface and evaluated to assess a level of engagement of the user/consumer with the advertising content. The disclosed systems and methods uniquely provide voice-activated user interface coupled with display of certain advertising content in a manner that promotes user/consumer attention to the advertising content and ease of interaction with the presentation system.

A system and method for assessing the risk of a listing that transforms information from the listing into variables suitable for a classifier trained to score the riskiness of listings and using the score in addition to predetermined variable constraints to determine whether a listing is fraudulent.