Abstract: Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for automatically posting content to a network accessible content collection are described. User activity over a communication network from a client device is tracked and a triggering event is detected. In response to detecting the triggering event, a content item is automatically posted to a network accessible collection of content items viewable by additional users.

Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature.

Abstract: In various example embodiments, heavy document object model (DOM) elements in a heavy web page are removed directly from a DOM tree subsequent to a request being received to navigate to another web page but before the web browser actually navigates to that other web page. In one example embodiment, the heavy DOM elements are deleted from the previous page during an ‘onbeforeunload’ event using a scripting language such as Javascript, to ensure that the render of the next page starts faster.

Abstract: Techniques are disclosed for automatically adjusting machine learning parameters in an e-commerce system. Hyperparameters of a machine learning component are tuned using a gradient estimator and a first training set representative of an e-commerce context. The machine learning component is trained using the tuned hyperparameters and the first training set. The hyperparameters are automatically re-tuned using the gradient estimator and a second training set representative of a changed e-commerce context. The machine learning component is re-trained using the re-tuned hyperparameters and the second training set.

Abstract: In accordance with one or more embodiments of the present disclosure, a method for leveraging a social network to search for local inventory includes communicating with a first mobile communication device over a network, the first mobile communication device associated with a user, and communicating with a second mobile communication device over the network, the second mobile communication device associated with a social network contact. The method further includes obtaining a geo-location of the second mobile communication device, processing a search request from the first mobile communication device, obtaining a radius of coverage for a merchant, determining whether the geo-location of the second mobile communication device is within the radius of coverage of the merchant, and providing a listing to the first mobile communication device of one or more items for sale by the merchant when the second mobile communication device is within the radius of coverage of the merchant.

Abstract: Systems, computer-implemented methods, and computer-readable storage mediums for determining tour locations are disclosed. Users are provided access to items of an online marketplace of a first user. Data is received from the first user that includes a request to determine a tour location of a tour. User accesses to the items of the online marketplace are monitored. Based at least on the monitored user accesses, values for candidate locations are determined. One of the candidate locations are selected based at least on the determined values of the candidate locations. The selected location of the candidate locations may be provided to the first user.

Abstract: Technologies are shown for secure management of evaluation data that involves receiving an evaluation value signal from a source, the evaluation value signal relating to an evaluation entity having an evaluation score secured on an evaluation data blockchain and verifying whether the source is identified in trusted source data. If the source is trusted, then the technology involves obtaining a weight associated with the source, obtaining the evaluation score for the evaluation entity from a first evaluation data block in the evaluation data blockchain, where the first evaluation data block is a most recent evaluation data block in the evaluation data blockchain, calculating a new evaluation score based on the evaluation score obtained from the first evaluation data block and the received valuation signal weighted according to the weight associated with the source, and securely committing the new evaluation score to the evaluation data blockchain in another evaluation data block.

Abstract: A web browser extension identifies graphic objects from images or video being presented by a web browser. Webpages related to the graphic objects are identified. Web links that facilitate navigation to the webpages are embedded over an area of the image corresponding to the identified graphic image. Where the graphic objects are identified within video, the web links are progressively embedded within graphic object boundaries of the graphic object as the graphic objects move locations during progression of the video. In this way, a user is able to interact with graphic objects of images and video to navigate to webpages related to the graphic objects. Some implementations provide a webpage redirect command at a stop point of the video so that the user can interact with graphic objects while the video is playing and without interrupting the video.

Abstract: In various example embodiments, a system and method for providing price guidance for sellers and buyers are presented. The system receives a present item listing and accesses a set of historical item listings. The system generates a price guidance model for the present item listing and generates a set of prices for the present item based on the price guidance model. The system then causes presentation of the set of process on a client device.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for listing conversion estimation and optimization. A listing conversion estimation and optimization system receives a set of listing data for generating a listing of an item for sale on an online marketplace and determines, based on the set of listing data, a likelihood value indicating the likelihood that the listing will result in a sale within a given time period. The listing conversion estimation and optimization system causes presentation of a graphical indicator representing the likelihood value on the display of the listing user's client device.

Abstract: In various example embodiments, a system and method for facilitating display of virtual content are presented. A session that displays two-dimensional (2D) content of one or more items available for sale is presented on a first device of a user. A second device of the user is detected, the second device being able to display three-dimensional (3D) content of the one or more items available for sale. 3D content of the one or more items available for sale is retrieved. Display of the 3D content on the second device is caused, the 3D content selectable by the user to perform interactions with the 3D content. An indication of the user performed interactions is received and processed. A result that depicts the user performed interactions as being processed is displayed on the first device of the user.

Abstract: A counterfeit item detection system detects counterfeit items during an item listing processes provided by an online marketplace. The system enhances the ability of the online marketplace to identify and reject potential counterfeit items. The system collects item data in various formats. The item data is analyzed using speech-to-text software and natural language processing to determine data elements representing items, item features, and language context. Questions are generated using the items and item features, and stored for each item. Answers to the questions have associated counterfeit indication weights. The weights are modified and used to rank the questions as feedback is received about counterfeit items. The ranking determines future question selection, allowing the best questions to continually be identified and provided. The counterfeit item detection system also trains a neural network to detect counterfeit items in images, where the training images are obtained from videos related to the item.

Abstract: 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.

Abstract: A system may receive information representing a first item and an item price of the first item from a first user device operated by a buyer. The first item may be available for sale by a merchant of a brick-and-mortar store. A plurality of sellers may be identified, the plurality of sellers may list a second item as being available for sale at the calculated reduced item price in an item listing for the second item. Moreover, the second item may be similar to the first item. A reduced item price may be calculated based on the item price of the first item received from the user device, the reduced item price representing a price lower than the item price of the first item. The item listing for the second item available for sale may be presented to the first user device operated by the buyer.

Abstract: Methods, systems, and apparatus for monitoring a sound are described. An audio signal is obtained and the audio signal is analyzed to generate an audio signature. An object type is identified based on the audio signature and an action corresponding to the object type is identified.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Systems and methods of cloud deployment optimization are disclosed. In some example embodiments, a method comprises running original instances of an application concurrently on original servers to implement an online service, receiving, by the original instances of the application original requests for one or more functions of the online service, receiving a command to deploy a number of additional instances of the application, transmitting synthetic requests for the function(s) of the online service to one of the original servers according to a predetermined optimization criteria, deploying the number of additional instances of the application on additional servers using a copy of the original instance of the application, and running the deployed additional instances of the application on their corresponding additional servers concurrently with the original instances of the application being run on their corresponding original servers.

Abstract: Technologies are shown for application risk assessment in an authentication service where an authorization request is received from a third party application calling an Application Programming Interface (API). Risk assessment policies that pertain to behavioral characteristics, such as API usage patterns or past delegation of permissions, are applied to the authorization request to obtain a risk assessment score. If the risk assessment score does not exceed a risk threshold, then an authorization message is sent in response to the authorization request. If the risk assessment score exceeds the risk threshold, then remedial action, such as suspending the application, limiting the available actions, or sending a notification to a trusted security application, is executed for an account associated with the third party application. Machine learning can be applied to historical behavioral data to generate the risk assessment policies.

Abstract: Methods, systems, and apparatus for receiving one or more power usage measurements for a set of elements, determining a user behavior based at least on an analysis of the one or more power usage measurements of at least one of the set of elements, and based on a determined user behavior, causing the at least one of the set of elements to perform an action that affects a power function of the at least one of the set of elements.

Abstract: In various example embodiments, a system and method for modifying publications of a network-based publication system are presented. The system receives a set of body coordinates from a client device and associates the set of body coordinates with a user account. The system identifies a set of clothing images within a set of publications retrieved as a result of a query. The system generates a set of modified clothing images from one or more images of the set of clothing images and causes presentation of the set of modified clothing images at the client device.

Abstract: Electronic content that has a tactile dimension when presented on a tactile-enabled computing device may be referred to as tactile-enabled content. A tactile-enabled device is a device that is capable of presenting tactile-enabled content in a manner that permits a user to experience tactile quality of electronic content. In one example embodiment, a system is provided for generating content that has a tactile dimension when presented on a tactile-enabled device.

Abstract: According to example embodiments, an Image View Aggregator identifies a frontal view of an item within an image. The Image View Aggregator identifies at least one reflection view of the item within the image. Each reflection view of the item having been captured off a corresponding reflective physical surface. The Image View Aggregator extracts the frontal view of the item and each reflection view of the item from the image. The Image View Aggregator generates a representation of the item based at least on the extracted frontal view of the item and each extracted reflection view of the item.

Abstract: There are provided systems and methods for wireless beacon devices for use in tracking user locations during group travel. A user may take a trip on a vehicle, such as a bus, train, cruise ship, or other large travel vehicle. The users may disembark the vehicle in order to visit a location but plan to travel further on the vehicle. Thus, when the vehicle is attempting to leave the location where the users have left the vehicle, the vehicle may be required to again account for each passenger. The vehicle may utilize a wireless beacon located near an entrance and/or onboard the vehicle to account for each passenger. The wireless beacon may connect to a communication device of each user when the communication device is in proximity to the wireless beacon and, thus, inform the vehicle's operator that each user in located on the vehicle.

Abstract: A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.

Abstract: A system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for providing digital avatars. A first request message is received for requesting a digital representation of a first target user combined with a target product for an online marketplace application on a first client device. The first request message is associated with a first user identifier indicative and a product identifier. Based on the first user identifier, a first user record is selected from a first database. The first user record includes measurement data. Based on the product identifier, a product record is selected from a second database. Based at least on the measurement data of the first user record and the selected product record, model data of the target product is determined and provided to the first client device.

Abstract: In various example embodiments, a system and method for a proactive customer support system are provided. In some example embodiments, outgoing communications from an application server to a client device are monitored for error messages, outgoing error messages are detected, an error type for an error message is determined, an issue ticket including the error message and the error type is generated, and instructions are transmitted that cause a customer service device to display the issue ticket. In some example embodiments, the system additionally assigns a priority score and ranks open error tickets based on their respective error messages. In some example embodiments, the system provides a help message to the client device based on the error message, receives an information request from the client device, determines a reply message based on the information request, and transmits instructions to the client device to display the reply message.

Abstract: A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

Abstract: Systems and methods for multi-signal fault analysis are described. The system receives signal message information, over a network, from a collection device comprised of a plurality of mobile devices including a first mobile device and a second mobile device that are associated with a first user. The first signal message information includes a first maintenance message including characterization information that was received by the first mobile device from a component that includes a sensor that operates to sense a first part that is assembled into a vehicle. The second signal message information includes signal information that was received by the second mobile device including an audio signal that a microphone in the second mobile device sensed. The system analyzes the multi-signal information to diagnose a problem and communicate a message to the first user with a diagnosis of the problem.

Abstract: Listing an item on a publication system involves sending the publication system an email or other communication that includes title, description and a picture of the item. The email may be in plain text, with the publication system using the email for listing the item with minimal complexity for the user. The publication system may receive the email, parse the email to extract title, description, price, classification, attributes and perhaps other information with respect to the item, and compose a view item page (“VIP”) for the item listing. The extracting may also be by decoding a product identifier in the communication. The VIP may be privately viewable and editable by the user. The user may then modify or otherwise confirm the VIP. When the user confirms the VIP, the VIP goes live as the listing on the publication system.

Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.

Abstract: Systems and methods for visualization of an item in an environment using augmented reality are provided. Environment image data containing an image of an environment is received. A selection of an item for placement into an indicated location of the environment is received. An item image of the selected item is scaled based on dimensions determined from the environment image data for the environment. The scaled item image is augmented into the image of the environment at the indicated location to generate an augmented reality image that also includes information for the item. The augmented reality image is displayed on a device of a user.

Abstract: Systems and methods are provided for providing access to secure-access facilities based on pairing of the secure-access facilities with a user device such as a wearable device. A pairable secure-access facility may be a public storage facility or device such as a locker that includes communications circuitry for pairing with the user device. Once paired with the user device, the locker may operate a locking mechanism to lock the locker when the user device is away from the locker and to unlock the locker when the user device is in the vicinity of the locker. The locker may include a beacon for detecting and pairing with the user devices. Pairing the user device and the locker may include entering a locker identifier into the user device to ensure that the intended user device is paired with the intended locker.

Abstract: In various example embodiments, a system and method for a cross selling platform are presented. A request for a product listing triggered by a user may be received. The request for the product listing may include product information corresponding to an in-store product located at a store of a merchant. A related product listing may be identified based on the product information. Each product listing of the plurality of product listings may correspond to a merchant product. The product listing may be recommended to the user for sale.

Abstract: Systems, methods, and machine-readable hardware to facilitate a diagnosis of a failure of a first part in a vehicle. The system receives a maintenance message, over a network at a network-based marketplace. The maintenance message includes characterization information received from a component in the vehicle. The component includes a sensor that senses the first part to generate the characterization information. The system identifies sub-system processing rules based on the maintenance message and executes the sub-system processing rules. The sub-system processing rules cause a smart component engine to perform operations comprising identifying a sub-system and scanning the sub-system responsive to identifying an increase in a likelihood of failure of the first part based on the characterization information.

Abstract: A database object used in a plurality of database operations is determined. A live range of the database object is computed. The computing of the live range includes determining occurrences of the database operations to the database object. Based at least in part on the live range of the database object, a memory is determined to be optimally assigned to store the database object based on at least one characteristic of the memory. A first time to allocate the database object to the memory is determined. A second time to deallocate the database object from the memory is determined. An output file comprising a first instruction to store the database object in the memory at the first time and a second instruction to deallocate the database object from the memory at the second time is written.

Abstract: The disclosed system and methods adjust one or more parameters affecting the purchase of one or more items and change a buyer interface in order to display the consolidated parameter to a buyer. Example embodiments include a machine-implemented method for detecting an edit to the shopping cart, conducting a complex parameter editing simulation based on data accessed from multiple databases, adjusting a parameter associated with an item in the shopping cart, and adjusting and displaying a cart total to the buyer. The system can further receive an indication to checkout the shopping cart and edit complex parameters during checkout accordingly.

Abstract: Improved access of a multidimensional database can be implemented using a space-filling curve, such as a z-order curve, and a tree structure. A state engine is configured to track the state of the dimensions of the database as the tree structure is traversed. Different states allow optimizations such as avoidance of analyzing a dimension for further nodes of the tree and removal of multiple nodes in a sub-tree.

Abstract: Technologies are shown for securing private information during shipping of an item storing shipping information at a blockchain address that includes a recipient geolocation address and generating a shipping label that includes a machine-readable pointer to the blockchain address. The label can be scanned to obtain the blockchain address and request the shipping information. In response to a request, the recipient geolocation address or a next intermediate shipper can be provided. The recipient can be notified to obtain authorization to release the recipient geolocation address or provide an alternative geolocation for delivery.

Abstract: An enhanced product customization service to automatically generate product customization parameters for customizing a product for a user in accordance with an interest of the user. Signals received from various sources are analyzed to identify an interest of the user and search queries that are generated by the user are also analyzed to identify an intention of the user to acquire a product. Then, based on having identified both the interest of the user and the intention of the user to acquire the product, product customization parameters are generated for customizing a physical characteristic of the product in accordance with the identified interest. In this way, embodiments of the enhanced product customization service may be deployed to customize a product for a user preemptively even without the user expressly indicating a specific interest in such a customized product.

Abstract: Systems and methods of rate limiting are disclosed herein. In some example embodiments, a rate limiter service receives a request from an online application to access an online resource, and the rate limiter service transmits an indication of the request to a back end system, and an enforcement decision corresponding to the online resource is received from the back end system, with the enforcement decision comprising an instruction to either permit or deny access to the online resource, and the receiving of the enforcement decision from the back end system being performed asynchronously with the receiving of the request and the transmitting of the indication. In some example embodiments, the enforcement decision received from the back end system is stored, the stored enforcement decision is accessed in response to the receiving of the request, and the request is responded to using the accessed enforcement decision.

Abstract: In various example embodiments, a system and method for smart recurrent orders are presented. An inventory indicator corresponding to an inventory level of a first item may be received. An order schedule for the first item may be identified. An adjustment to the order schedule based on the inventory indicator may be determined. The adjustment to the order schedule for the first item may be facilitated.

Abstract: In various example embodiments, systems and methods to provide proximity recommendations are provided. In example embodiments, data representing prioritized recommendations for a user is received. The data representing the prioritized recommendations is used to generated a composite visual representation by embedding select prioritized recommendations into a visual representation. The composite visual representation presents a higher prioritized recommendation in a more spatially prominent manner than a lower prioritized recommendation. The composite visual representation is then presented to the user.

Abstract: Technologies are shown for secure token refresh where a client receives a first access token from an authentication service, generates an asymmetric key pair, stores the first access token in association with a private key, and sends a public key to the authentication service. The service stores the public key in association with the first access token. The client sends a refresh token request to the service with the first access token. The service responds with a verification request with proof data. The client signs the proof data with the private key and sends the signed proof data to the service. The service verifies the signed proof data using the public key associated with the first access token, creates a second access token that is stored in association with the public key, and sends the second access token to the client, which stores it in association with the private key.

Abstract: A method and system to determine the size of a first area on a user interface that is utilized to display data items. The system receives a request for a user interface that includes a first area and a second area that are complementary in size. The system utilizes the first area utilized to display data items and the second area to display other information. The system determines a size of the first area by computing a number of data items that are to be displayed in the first area and generates the user interface to include the first area in the second area, the first area being of the determined size.

Abstract: A system receives item data corresponding to an item list from a user. The item list may include one or more items. The system communicates the item list to a community group associated with the user and the system then receives member data from one or more members of the community group, wherein the member data is associated with the one or more items on the item list.

Abstract: In a networked data system, a discovery protocol enables clients to establish connections to one a plurality of database servers to utilize a distributed connection service. The service manages connections between application servers, i.e. clients, and databases. An initial request from the client is received by a load balancer. The load balancer responds to the client by identifying an assigned connection to one of the database servers based on load considerations. The client sends a secondary request directly to the assigned connection, bypassing the load balancer. The service establishes a persistent link on the assigned connection and assigns a time-to-live (TTL), during which the service connects data requests to the databases. Upon expiration of the TTL, the service completes a next data request received, then notifies the client that the connection is no longer valid, thereby requiring a new connection through the load balancer and rebalancing system traffic.

Abstract: A machine learning (“ML”) pipeline that includes unsupervised learning, supervised learning, and Bayesian learning is utilized to train a ML classifier that can classify machine metrics as being indicative of an anomaly. A boosting process can be utilized during the unsupervised learning portion of the ML pipeline that scores clusters of training data for completeness, and further splits clusters of training data based upon the completeness scores in order to optimize the clustering of the training data. Supervised learning is then performed on the cluster-labeled training data. Bayesian learning can also be utilized to assign incident probability inferences to the clusters of training data. Once the ML classifier has been trained, the ML classifier can be utilized in a production environment to classify multi-dimensional machine metrics generated by computing devices in the production environment as being indicative of an anomaly.

Abstract: Methods and Systems to browse data items are described. The system receives selections, over the network at a computer based system, from a client machine and uses the selections to identify a level of interest of a first user for a first browsing set. The first browsing set includes a first browsing concept. The system receives a query from, over the network at a computer based system including a keyword. The system automatically selects the first browsing set based on the query and the elevated level of interest of the first user for the first browsing set. The system generates a first user interface including the browsing concept. Finally, the system communicates the first user interface including the browsing concept to the client machine.

Abstract: Systems and methods are disclosed to receive a message from a user device. The message may include metadata that includes data related to one or more specifications of the user device. The method may also determine a sales price for the user device based on the one or more specifications of the user device and create a listing for the user device that includes at least the sales price and at least one of the one or more specifications of the user device.