A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.

At least a main area and a candidate area are provided on a display screen of a display device, and a display control unit that causes content displayed in the candidate area when reproduction of content displayed in the main area ends to be displayed in the main area, and a detection unit that detects a person from a captured image of at least a place where the display screen is visually recognizable are included, wherein the display control unit changes the content displayed in the candidate area depending on the person during reproduction of the content displayed in the main area.

Methods and systems are disclosed for performing operations comprising: accessing content received from a first client device associated with a first user; processing the content to identify a first image that depicts the first user wearing a first fashion item; determining a first pose of the first user depicted in the first image; searching a plurality of products to identify a first product that corresponds to the first pose of the first user depicted in the first image and that includes one or more attributes associated with the first fashion item; modifying the first image to generate an advertisement that depicts the first user wearing the first product; and during a content browsing session being accessed by the first client device, causing the advertisement that depicts the first user wearing the first product to be displayed automatically on the first client device.

Methods and systems are provided for modifying a message in a SMS format by including a personalized advertising content therein. The technical solution enables enterprises, mobile operators, and HUBs which send a transactional A2P SMS traffic to their end users to add personalized advertising materials, such as a text, an active URL address that forward to personalized microsites, a phone number or a short phone number etc., to an original text of the SMS message. The methods and systems provided also enable advertisers to integrate and to automatically distribute the advertising content by SMS message by means of a real-time bidding (RTB) technology based on preliminary established advertisement targeting criteria and a number of non-used characters.

An automated order processing for order items registered in advance as commodities targeted for automated order service is performed. In the automated order processing, it is determined whether any container/package for the order items exists in the disposal box, based on internal status data of a disposal box or identification data on the contents of the container/package existing in the disposal box. If it is determined that any container/package for the order items exists in the disposal box, the number of discarded containers/packages for the order items existing in the disposal box is calculated. Then, it is determined whether the number of discarded containers/packages is equal to or larger than an upper threshold set according to a sales mode of the order items. If it is determined that the number of discarded containers/packages is equal to or larger than the upper threshold, ordering data of the order items is generated.

An escalator equipment alert method and an escalator equipment alert system are disclosed. The method includes: activating a camera disposed on an entrance of an escalator equipment; capturing a foot image of a passenger about to board the escalator equipment through the camera; performing an image analyzation on the foot image to detect a danger boarding behavior related to the passenger; and in response to the danger boarding behavior, issuing an alert message matched with the danger boarding behavior through an alert device.

A system and method facilitate digital marketing for sponsors of live television broadcasts. The system allows a user, using an application on a computing device while a piece of sponsored content is being broadcast, to express an interest in the broadcast piece of sponsored content and the interest of the user is communicated to a backend system that selects an endpoint destination associated with the broadcast piece of sponsored content wherein the endpoint destination is a pointer to further digital information about the broadcast piece of sponsored content. The system and method may periodically change the selected endpoint destination based on an event in the sponsored piece of content.

Techniques for personalized gamification of media content. An engagement level of a consumer is identified based on prior gamification data. A difficulty level is identified using machine learning based on the engagement level. A content element personalized for the consumer is generated based on biographical information or viewing habits. A prompt requesting the consumer to find and access multimedia content scenes depicting the content element is generated. A multimedia content scene found by the consumer is analyzed to determine whether the multimedia content scene has an association with the content element and whether the consumer has accessed the multimedia content element scene.

Systems and methods for the selection of the promotions are provided. A set of possible offers are initially received, each including a set of variables, with each variable having a set of possible values. These form a combination of variable values for each offer. A heuristic is applied to all possible offers to reduce the number of offers being considered. The combination of variable values for these reduced number offers is converted into a vector value, which is then scored, ranked and the top ranked offers are selected for inclusion in a promotional campaign. The remaining offers are then analyzed to select additional offers to include into the promotional campaign which maximizing a determinant for the selected offers using their vectors. All selected offers are administer in a promotional test campaign across many consumer segments. Feedback from the campaign may be collected to generate a “general” offer.

Systems and methods for a collaborative offer portal is provided. A proposed offer is received from a manufacturer, including an offer structure and a number of consumers they wish to target. Transaction logs of a retailer are accessed to determine an audience for the offer by calculating a return on investment (ROI) for the customer base using the retailer's records given the offer type. The consumers are then grouped by their ROI distribution, and the ROI for the deal is calculated based upon the offer size in light of this distribution. From the offer ROI a discount percentage to be paid by the retailer versus the merchant can be created. The retailer may then choose to accept the offer for deployment.