Abstract: Augmented reality, computer vision, and digital ticketing system techniques are described that employ a location determination system. In one example, the location determination system is configured to receiving at least one digital image as part of a live camera feed, identify an object included in the at least one digital image using object recognition, determine a location of the object in relation to a digital map of a physical environment, generate augmented reality digital content indicating the determined location in relation to the digital map, and render the augmented reality digital content as part of the live camera feed for display by a display device.

Abstract: In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.

Abstract: Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.

Abstract: An application configured to be dynamically and/or incrementally updated to tailor capabilities of the application to areas of interest of a user is disclosed. The application receives one or more task-specific modules for enhancing a task-specific capability of the application. The one or more task-specific modules are identified from among a plurality of task-specific modules, based on user data indicative of interaction of the user with an electronic marketplace. The one or more task-specific modules are used to update a general module configured to implement the task-specific capability of the application to create a customized application. The customized application is used to perform a task-specific operation based on an input provided by the user, and a result of the task-specific operation to be presented to the user.

Abstract: A system and method for standardizing user interface elements are presented. A first application is identified having a higher use metric than a second application, the first application including one or more user interface elements that have one or more respective parameters. The second application has one or more user interface elements that are similar to the user interface elements of the first application and has one or more respective parameters that are different than the respective parameters of the user interface elements of the first application. A determination of similarity is made between the user interface elements applications based upon at least one predetermined criterion. Based on the determination, one or more parameters of the user interface elements of the second application are modified to match one or more parameters of the first application.

Abstract: Technologies are shown for HGM based control for smart contract execution. HGM control rules control function calls at a system level utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for a smart contract. The HGM control rules are applied to HGMs collected from the call stack to allow or prohibit specific HGMs observed in functions or function call chains. HGM control rules can use dynamic state data in the function call chain. If the dynamic state data observed in function call chains does not meet the requirements defined in the HGM control rules, then the function call can be blocked from executing or completing execution. The HGM control rules can be generated by executing known sets of acceptable or vulnerable smart contracts and collecting the resulting HGMs.

Abstract: A rack mountable bracket is described. The bracket is mountable to a rack configured for mounting equipment. The rack is also configured according to a rack standard (e.g., EIA-310) that specifies how rails of the rack are disposed, one rail to another, and how a strip of holes disposed along a length of each rail is spaced, one hole to another. In one or more implementations, the bracket includes a pair of mounting edges for mounting the bracket to a mounting pair of the rails using hole strips of the mounting pair of rails. The bracket also includes an equipment mounting rail having a hole strip disposed along a length of the rail with holes spaced according to the rack standard. The equipment mounting rail is disposed between the mounting edges, such that when the bracket is mounted to the mounting pair of rails the bracket is horizontally oriented.

Abstract: A system for transmitting information related to a network-based marketplace includes identifying information that may be interesting, useful, and entertaining to the users and to the potential users of the network-based marketplace. The identified information may be other than information that is already being displayed in listings by the network-based marketplace. The identified information may be about the sellers, the buyers or other items related to the items offered for sale.

Abstract: Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.

Abstract: One or more of the systems, apparatuses, or methods discussed herein can include a quality score for a plurality of item listings or collections of item listings. Data sparseness can be avoided, as the quality score is based on inherent properties of the listing. An item listing can be recommended to a user based on the quality score. In one or more embodiments, a method can include determining a plurality of quality scores including a quality score for each of a plurality of item listings or a plurality of collections of item listings, the quality scores determined independent of a user's attributes and independent of the user's contextual information, the contextual information corresponding to details of the user's access to a website, and recommending an item listing or collection of item listings to a user based on the quality scores and the contextual information.

Abstract: Systems and methods are provided for generating inferred reviews of service providers based on user behavior data for one or more users. The user behavior data used to generate the inferred reviews information representing a number of visits to the service provider. Additional or alternative user behavior data that may be used includes information that represents how far a user travels to a service provider, how many similar service providers the user passes on the way to the service provider, a typical time for services at the service provider, or a length of time the user has been a customer or attendees of the service provider. A service provider may include a merchant, a hotel, a physician, a contractor, another service provider that provides goods or services for a cost or may include non-profit service providers, charity-based service providers or public locations such s parks, rest stops, or other locations.

Abstract: Disclosed is technology for storing original work data on a derivative work data blockchain along with code for verifying that derivative work data is derivative of the original work data. The technology involves receiving derivative work data from a submitting entity along with proof data showing that the derivative work is derivative of the original work. If the derivative work data is verified as derivative, then the derivative work data is appended to the derivative work data blockchain.

Abstract: The disclosed technologies include a robotic selling assistant that receives an item from a seller, automatically generates a posting describing the item for sale, stores the item until it is sold, and delivers or sends the item out for delivery. The item is placed in a compartment that uses one or more sensors to identify the item, retrieve supplemental information about the item, and take pictures of the item for inclusion in the posting. A seller-supplied description of the item may be verified based on the retrieved supplemental information, preventing mislabeled items from being sold.

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

Abstract: Various embodiments improve search technologies and computer information retrieval by executing a query via ranking a set of search result candidates higher than another set search result candidates based at least in part on the query and determining that a first set of search result candidates are indicative of a sub-accessory to an accessory or an accessory itself.

Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.

Abstract: A system for viewing shopping information on a social networking platform is disclosed. At the social networking platform, the system receives a request from a user device corresponding to a first user of the social networking platform to view a list of a second user of the social networking platform. The list may include items offered for transaction on a network-based commerce server. In response to receiving the request from the user device, the system forwards the request to the network-based commerce server, and then receives updated information for at least one item on the list from the network-based corner server. Then, the system communicates the updated information received from the network-based commerce server to the user device.

Abstract: Apparatus and method for providing contextual recommendations based on user state are disclosed herein. In some embodiments, sensor data corresponding to at least one sensor included in an item worn by a user is received. A user state is determined based on the received sensor data. In response to a state change being satisfied by at least the user state, a recommendation is determined based on the user state and a profile associated with the user. The recommendation may be presented on an electronic mobile device associated with the user.

Abstract: Dynamic link preview generation techniques are described that overcome the challenges of conventional techniques by supporting link preview generation by a content provider system that proves the digital content via a respective network address. In one example, a content provider system, based on a request received from a service provider system, identifies a communication platform of the service provider system that is to be used to communicate the shared link. Upon identifying the communication platform, the content provider system locates customization data that describes how the link preview is to be generated for the communication platform. In response, the content provider system renders digital content available via the network address to generate the link preview.