Abstract: A computer-implemented system and method are provided for obtaining and providing product information to a user. The method comprises creating, with a processor of a purchase evaluation system, a user profile comprising a plurality of purchasing decision factors with each having a respective weight. The method further comprises receiving a product identifier that identifies a product being considered for purchase by a user, and then building or retrieving, in real-time, a product profile based on the product identifier that contains a plurality of product factors corresponding to the purchasing decision factors, each of which contain a value representing a score of the product's relationship to the respective product factor. The method then evaluates the product based on a function that incorporates the purchasing decision factors and the product factors, and creates display data for displaying the identified product and the product evaluation on a display.

Abstract: A publishing user identifies a product offered by the user to an online system by providing multiple images of various products viewed at different angles to the online system. The online system applies an identification model to content items obtained from other users to identify one or more of the products in various content items. From a number of content items obtained from other users that include products offered by the publishing user, the online system compute trends. The trends may be for a specific product or products having one or more common attributes. The online system transmits information about the trends to the publishing user or to other users. The trends may also be used to rank recommendations for products to a specific user, where the trends from numbers of content items including products are weighted by the specific user's preferences.

Abstract: Disclosed is a non-transitory computer readable medium storing a computer program. The computer program performs operations for analyzing a video when the computer program is executed by one or more processors of a computing device and the operations may include: separating contents into one or more subcontents by analyzing the contents; matching and storing additional information with the subcontents; receiving search information from a user terminal; and sending at least one of the contents, the subcontents or the matched additional information corresponding to the search information to the user terminal.

Abstract: A product purchase system may include a product retrieval robot at a physical store and sensors within the physical store and configured to obtain product identifying data for a given product for purchase in the physical store by a given user. The given product for purchase may be placed by the given user into a physical shopping cart. The system may also include a product purchase server configured to identify the given product for purchase based upon the product identifying data, and determine an add-on product associated with the given product for purchase and located in the physical store. The product retrieval robot may be configured to cooperate with the product purchase server to retrieve the add-on product from the physical store and deliver the add-on product to the physical shopping cart.

Abstract: The invention relates to a system 10 for conducting a sales mechanism over the internet in accordance with an embodiment of the invention. The system 10 comprises a sales platform 18 for vendors of items such as a real estate property, sales facilitators 16 to administer the sales mechanism, and buyers (also referred to as bidders 14) to interact for selling and buying the items offered for sale. The description to follow will refer to a particular application of the sales mechanism for offering for sale a real estate property; however, the sales mechanism may be utilised for offering for sale any tangible or intangible items that is able to be sold.

Abstract: A special programs computer, which executes the program on a non-transitory computer readable medium, stores one or more programs and the graphical user interface on a computing device with a touch screen display, a memory, at least one camera configured to input information about an item and one or more processors to execute one or more programs stored in the memory. The touch screen device is operatively connected to one or more database servers via a wired or wireless network. Unlike traditional registries, the special programs computer systems herein allow for sharing individual selected items (at the item level) off a list with one or more selected individuals and also prevents the gift receiver from being notified that the gifted item has been purchased for them until after a later date while simultaneously preventing display of the item to other users after its purchase.

Abstract: A contacting process for an online marketplace is provided. The contacting process includes scanning a scan-able code in an online marketplace environment running on a handheld device of a user. The scan-able code is associated with a predefined seller of a predefined product. The user automatically login to the online marketplace environment using pre-stored login credentials stored in the handheld device. This enables contact between the user and the predefined seller.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that may cause the processor to generate a matrix based on features of reference entities and a respective allocation of value provided to each reference entity, apply first-stage machine-learning on the matrix to identify relevant features of the reference entities that correlate with the respective allocation of value provided to each reference entity, and access an identity of a target entity and target features of the target entity. The instructions may further cause the processor to apply second-stage machine-learning to generate a cluster comprising the target entity and a set of the reference entities based on the relevant features and determine a distribution of values allocated to the set. The distribution of values may be used to generate or assess a target allocation of value for the target entity.

Abstract: Various embodiments provide techniques for generating a virtual wardrobe in which wearing of items can be tracked through computer vision. In various embodiments, computer vision techniques can be used to identify individual clothing items from an image or video of a closet containing a collection of clothes, in which some of the items may be partially obscured, such as positioned behind other items, folded, at an odd viewing angle, shadowed, or the like. Through the present techniques, the clothing items may be automatically cataloged, and utilization of individual items can be tracked automatically based on additional image data of instances in which an item is worn. Various recommendations can then be made based on the attributes of the items in the virtual wardrobe or utilization of the items.

Abstract: A system and method for determining a part having an anomaly in equipment and initiating electronic transaction for placing order to replace the part using three-dimensional (3D) model of equipment. The system inspects equipment to identify type of equipment and requests a data storage device storing 3D models of equipment to provide matching 3D models corresponding to equipment identified. The system utilizes various technologies to determine relative location of anomaly indicative of failing/failed part in equipment. The system overlays 3D image map from the 3D model to identify specific part/assembly/subassembly within the 3D model corresponding to the relative location of the anomaly. The system identifies additional parts associated with the failing/failed part as a kit in the 3D image map, and adds the kit to virtual shopping cart for initiating electronic transaction in reference to the kit depicted in the 3D model of equipment for replacement of the failing/failed part.

Abstract: A method of authenticating genuine products in an online shopping platform, including the steps of receiving an online shopping order from a buyer through the online shopping platform, the order having information about a targeted product and a designated store; purchasing the targeted product at the designated store by a buying agent; putting a unique and non-replaceable identification item on the targeted product when the purchase transaction is completed; videotaping selection of the targeted product by the buying agent, the purchasing of the targeted product at the designated store, and putting the unique and non-replaceable identification item on the targeted product; and making the video captured accessible to the buyer of the targeted product.

Abstract: Systems and methods are provided for generating social networking recommendations. A color preference of a first user may be determined from a color palette of a first image associated with the user and/or a color palette of an item associated with the user. Other users may be identified that have a similar color preference as the first user based at least in part on the determined color preference of the first user. Interactions between the first user and one or more other users having similar color preferences with respect to the first user may be facilitated. A social networking recommendation may be generated with respect to the one or more other users having similar color preferences with respect to the first user.

Abstract: An online system receives information describing (an) item(s) associated with an entity and a content item including an image. The online system accesses and applies a trained machine-learning model to predict a probability that the content item includes an image of an item associated with the entity. If the probability is at least a threshold probability, a link to a page associated with the item that includes a set of the information describing the item(s) is added to the content item by the online system. Responsive to receiving an interaction with the link from a user presented with the content item, the online system determines a measure of similarity between the item and each additional item based on the information describing the item(s), arranges the set of the information describing the item(s) within the page based on the measure(s) of similarity, and sends the page for display to the user.

Abstract: Order information for an order representing an electronic transaction in the distributed order system for a product or a service is received by one or more processors over a network. A unique order ID and order content based on the received order information are generated. An order vector for the order is created based on the order content. The order is added to an order cluster based on a similarity between the created order vector and a representative order vector corresponding to a representative order in the order cluster. The representative order vector corresponding to the representative order in the order cluster is analyzed to determine if the representative order is malicious. A determination is made as to whether the representative order is malicious. If the representative order is malicious, then malicious order processing is performed on the orders in the order cluster.

Abstract: This application relates to apparatus and methods for identifying anomalies within a time series. In some examples, a computing device receives sales data identifying a sale of at least one item, and aggregates the received data in a database. The computing device may generate a plurality of time series based on the aggregated sales data. The computing device may extract features from the plurality of time series, and generate an alerting algorithm that is based on clusters of the extracted features. The computing device may apply the alerting algorithm to a time series generated from received sales data to determine whether the time series is an anomaly. Based on the determination, the computing device may generate and transmit anomaly data identifying whether the time series is an anomaly, such as to another computing device.

Abstract: In an online concierge system, a customer adds items to an online shopping cart. The online concierge system determines key ingredients from the items in the online shopping cart by mapping the items to generic items and removing non-ingredient items and staple items. The online concierge system retrieves recipes including at least one of the key ingredients. The online concierge system determines complementary ingredients based on the other ingredients in the recipes and calculates co-occurrence scores for the complementary ingredients. Using the co-occurrence scores, the online concierge system ranks the complementary ingredients and sends for display a subset of the complementary ingredients as recommended items.

Abstract: The present invention relates to systems and methods for implementing an automated auction process that is held at a designated time on the Internet, and that ends after bidding has been completed. In accordance with these systems and methods, a server connected to a plurality of workstations may establish several auctions that allow for efficient trading of multiple goods, while simulating the live and dynamic setting of traditional auctions.

Abstract: A method and apparatus for alerting an individual is described. A determination as to whether an individual is within a sensing area of a first device is made. The first device may be configured to provide information about a product on a shelf on which the first device is attached. In response to determining that the individual is within the sensing area, a determination as to whether to notify an occurrence of the determination that the individual is within the sensing area of the first device to at least one second device is made. In response to determining to notify, a notification may be transmitted to the at least one second device that the individual is within the sensing area of the first device. An alert may be triggered at the at least one second device based upon the transmitted notification.

Abstract: Systems and methods for providing nutritional recommendations to a registered customer of a business make use of a central computer server and a database including nutritional scores associated with products offered by the business. The central computer server receives a list of products purchased by the customer from the business, and processes that list to assign a nutritional score from the database to each of the products purchased by the customer. The nutritional score of each of the products purchased by the customer is then compared with a nutritional score of one or more product alternatives such that, based on that comparison, a recommended product alternative is selected having a nutritional score higher than a corresponding one of the products purchased by the registered customer. The recommended product alternative is then transmitted to the customer via a software application running on a mobile device of the registered customer.

Abstract: A technology that facilitates distribution of scientific data are disclosed. Exemplary implementations may: obtain scientific data from sci-data gathering devices; analyze gathered sci-data to identify and categorize relevant scientific elements in the gathered sci-data; offer the analyzed sci-data via a marketplace in exchange for a monetary value; and deliver the analyzed sci-data via the marketplace in exchange for an acceptable monetary value.