A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: receiving transaction data comprising items previously purchased; comparing the first item to the second item; identifying the first item to be related to the second item; aggregating the first product type and the second product type into a first category bundle having a first theme defined by the first and second product types; assigning a first affinity score to the first and second items based on the transaction data; detecting the first item as being a first item of interest; and when the first affinity score of the first item exceeds a threshold, displaying, to the user while browsing the one or more websites, the first category bundle comprising the first and second items. Other embodiments are described.

A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.

A system, apparatus, and method for physiological data collection, providing targeted content, and facilitating remote diagnostics. In one embodiment, a kiosk contains physiological data collection devices, electronic computing devices, and targeted-content display devices to automatically collect physiological data regarding a patient and display targeted content specifically tailored to that patient based on the collected data.

Systems and methods provide a conversational website or native application. The conversational website or native application includes an interface that enables a network device to exchange one or more messages with a bot or a terminal device (operated by a live agent) during a communication session. The interface may include a communication area (e.g., a portion of the screen) and a dynamic content area (e.g., another portion of the screen). The content of a message received from the network device may be used to select dynamic content to display in the dynamic content area. Dynamic updating of content displayed in the dynamic content area occurs continuously as messages are exchanged during the communication session.

A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

Systems and methods for tracking movement of individuals through a building receive, by one or more RF nodes disposed near an entrance to the building, RF signals from RF-transmitting mobile devices carried by persons near the entrance, capture an image of the persons while they are near the entrance, determine an identity and relative distance of each RF-transmitting mobile device from each RF node based on information associated with the RF signals received by that RF node, detect humans in the image, determine a relative depth of each human in the image, and assign the identity of each RF-transmitting mobile device to one of the humans detected in the image based on the relative distance of each RF-transmitting mobile device from each RF node and the relative depth of each human in the image, thereby identifying each individual who to be tracked optically as that individual moves throughout the building.

The present disclosure is directed to a system and method to allow sellers of products to establish individual products. A user is provided a code such that the code may be passed onto followers and allowed to advertise the product to a second purchaser. The second purchaser is allowed to purchase the product and provide advertisements to other purchasers. Commissions paid to respective downline purchasers for a single product may be limited by a preset number of defined levels after a product is purchased and potential product conflicts are detected.

Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

A computing device may be configured to provide authorization to a first content source to provide first content to a user device. The computing device may receive a request from the first content source to identify a location of second content to be presented to the user device and respond to the request by providing an address to the first content source. At the provided address, a request for the second content from the user device may be received. When responding to the request, the computing device may retrieve information associated with the user (e.g., user preference information) from the user device. Using this information, the computing device may generate at least one parameter for selecting the second contend and send a response to the user device. The response may include an address for the second content and the at least one parameter for selecting the second content.

Systems and methods are provided herein for determining personalized timing for generating for display advertisements to users. Rather than an expert determining time segments of a media asset most suitable for presenting advertisements to users, the most suitable time segments in a media asset for presenting advertisements to users may be customized based on a user's profile information and/or the user's level of engagement in a media asset. The media guidance application may parse a media asset into multiple time segments and determine one or more time segments associated with metadata that matches content characteristics preferred by the user. One or more advertisements may be presented to the user in these time segments determined by the media guidance application instead of the time segments determined by the expert.