A method, device, and system of classifying quality and selling packed meat based on an image are disclosed. The method of classifying quality and selling packed meat based on an image performed by a server includes acquiring an image of each of packed meats, storing each of the packed meats, classifying quality of each of the packed meats based on the image of each of packed meats, calculating a price of each of the packed meats based on the quality classification of each of the packed meats, displaying each of the packed meats by each meat, each part, and each grade on each user terminal, acquiring a purchase request for first packed meat selected by a first user through a first user terminal, determining a sale of the first packed meat, and shipping the first packed meat.

A mixed reality system for displaying virtual holograms using a head mounted display and a tracking device. The HMD has one or more cameras mounted on its exterior connected to a portable computing device. The cameras record what a user's eyes would see in the environment and project the images onto the screen panel display. The cameras also transmit tracking device data to a software application installed on a portable computing device. Light emitting diodes serve as tracking points for the detection algorithm. The tracking device can be configured to transmit data to the portable computing device via optical modulation. Less private radio frequency technologies can be employed such as Bluetooth or WiFi to enable one-way or two-way communication. In some embodiments, multiplexing can be implemented to enable identifying and differentiating multiple tracking devices in a single frame.

Systems and methods for loyalty estimation are disclosed. A set of assortments each including a subset of a plurality of items is received and a loyalty score is calculated for each item in the plurality of items. The loyalty value is calculated based on a relationship between assortments including the item and assortments without the item. At least one rule is generated based on the calculated loyalty scores for at least one item in the plurality of items

Exemplary embodiments include a secure messaging system configured with at least one processor to execute instructions stored in memory, the system comprising a data retention system and a data science system, a web services layer providing access to the data retention and data science systems, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to a user, the request processed by the batching service transparently to the user such that the user can continue to use a user-facing application without disruption, an application server layer that provides the user-facing application that accesses the data retention and data science systems through the web services layer, and performs processing based on user interaction with a messaging application, the messaging application configured to execute instructions including generating a dynamically displayed specific, structured interactive graphical user interface paired with a prescribed functionality directly related to the interactive graphical user interface's structure.

Different users of head-mountable devices have different needs for vision correction. A system can be provided to determine the corrective lenses that are most appropriate for a given user. A dispenser can contain a variety of different lenses that provide different types of vision correction. The dispenser can provide an appropriate one of the lenses, and a user can use the lens with a head-mountable device during a sampling session. During the sampling session, the user can verify that the lens is satisfactory.

Implementations of a shopping mobile application for a portable computing device, such as a smart phone, configured to use for purchasing merchandise, such as clothes, shoes, accessories, and fragrances, and in some implementations, a corresponding software application for a computing device, such as a desktop or laptop computer.

Embodiments of the invention are directed to systems, methods, and computer program products for a situationally aware mobile device which can provide a user with intelligent recommendations and information regarding nearby products based on a number of data points, including, but not limited to, neural network image analysis determinations, user resource account parameters, merchant offers, resource institution offers, and device comparison statistics.

Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving a user request via a graphical user interface, the user request corresponding to a user search query for a product; determining whether a first processing machine of the system is operating in a first processing mode or a second processing mode; when the first processing machine is determined to be operating in the first processing mode, analyzing the user request via the first processing machine and using a process, to identify a candidate recommendation system to utilize by: determining a randomized strategy for one or more candidate recommendation systems based on a ratio of a number of the one or more candidate recommender systems, the randomized strategy to be stored in a collected history data; determining model parameters based on the collected history data; and determining the candidate recommendation system from the one or more candidate recommendation systems as a candidate recommendation system with a maximum value for a reward model based on the user request; processing the user request with the candidate recommendation system to identify recommended products to display to the user; and transmitting instructions to modify the graphical user interface to display the recommended products to the user.

A system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for enhancing and personalizing an interactive marketplace. The systems and methods provided herein may allow a user to receive search results that are tailored to the user's personal preferences based on social and purchasing information known about the user. In addition, the systems and methods provided herein may provide shipping updates to a buyer that include a personalized message based on location information provided by the package being shipped. In addition, the systems and methods provided herein allow merchants to provide incentives and rewards for shoppers by participating in interactive shopping games.

Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The plurality of dynamic icons may include at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items. The interface may be facilitated by determining, via a processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon. The interface may be facilitated by applying the visual bias, via the interface, to the at least one suggested dynamic icon.