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.

Abstract: Systems and methods for are provided for predicting impending failure of a database and preemptively initiating mitigating failover actions, for example by shedding connections or redirecting connection requests to an alternate database that can fulfill resources being requested. In an example embodiment, to detect a slow or unstable database, connection wait times are monitored over a rolling window of time intervals, a quantity of intervals in which at least one excessive wait time event occurred are counted during the time window, and if the quantity exceeds a threshold, the database is deemed unavailable, thereby triggering connection adjustments.

Abstract: A data quality check using a structured query language hint is described. A query optimizer of a database management system may receive a data quality check instruction as part of a database query statement for a database query. The query optimizer may modify a query execution plan for the database query based on the data quality check instruction so that completion of the database query is dependent on a result of a data quality check defined by the data quality check instruction. The database management system may execute the modified query execution plan.

Abstract: Search techniques are described that support locating and displaying prospective objects in digital images based on a removed object. A digital image, for instance, is received by a computing device as an input depicting a physical environment with various objects and displayed in a user interface. An object depicted by the digital image is removed. An aspect of the removed object is identified. A search system leverages the aspect to locate a prospective object. The prospective object is configured for display within the digital image. As a result, the digital image is displayed in the user interface as having the configured prospective object depicted in the physical environment.

Abstract: An experimentation platform controls testing of features by an application server. Based on a user identifier, the experimentation platform determines which feature should be provided, and the application server provides the corresponding version of a user interface. If the user behavior data shows that using a tested feature results in an improvement, the tested feature will be adopted. To determine whether or not an improvement is observed, a statistically significant amount of data is gathered. The experimentation platform gathers data regarding user behavior for the feature versions and, in response, adjusts the frequency at which each version is served. Providing the proposed version to an increased percentage of users decreases the total number of page serves required to gather statistically significant data. The experimentation platform may provide an updated projected time to completion of testing based on the changed percentage of users receiving the proposed version.

Abstract: Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.

Abstract: Systems, methods, and computer-storage media provide content item retrieval that is personalized and time aware for a user. Interaction tracking is performed to identify content items with which the user has interacted and time data indicative of when the user interacted with each content item. A machine learning model is trained using the content items and the time data associated with each content item. Once trained, the machine learning model is used to generate a relevance score for each of a number of target content items. At least a portion of the target content items are provided for presentation to the user based on the relevance scores.

Abstract: Systems and methods for creating and presenting interactive product review interfaces are presented. The system processes a purchase request for a product from a user. The system then identifies one or more user feedback questions for the product. For each particular user feedback question, the system generates user feedback graphics based on stored user feedback associated with the particular user feedback question. The system transmits the one or more selected user feedback questions and the generated user feedback graphics to a client system associated with the user for display. The system receives user feedback for a user feedback question in the selected one or more user feedback questions. The system updates the user feedback graphic associated with the question to include the received user feedback. The system transmits the updated user feedback graphic to the client system for display in real-time.

Abstract: A system, a method, and a device for authentication of a product includes one or more databases configured to store data of one or more products, and a user device communicatively coupled to the databases via a network. The user device includes at least one memory configured to store computer executable instructions, and at least one processor configured to execute the computer-executable instructions to receive, from an authenticator, product search data of the product, and to search the product in the databases based on the product search data. The product is listed by a user for authentication, and the product is authenticated by scanning an authentication tag attached to the product. The authentication tag is pre-programmed and becomes inactive when detached from the product. There is also a dual-purpose device for authenticating a commercial product and associating a brand with the authentication of the product.

Abstract: Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. The system and methods provide an improvement over existing systems, which do nothing to identify or select valuable view item pages for use in driving traffic from display sites. The system and methods described herein improve the earlier system by predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

Abstract: An audio output device may include one or more audio sensors configured to detect ambient sound and noises around the audio output device. The audio output device may include a controller configured to analyze the detected sound and noises and may adjust audio settings of the audio output device accordingly. In an embodiment, the controller may analyze and recognize that the detected noise is another person's attempt to get the user's attention or to talk to the user, such as audio sound of the user's name. In response, the controller may stop the audio output or lower the volume of the audio output.

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: Systems and methods for managing an in-person transaction process are provided. In example embodiments, a network system receives, from a first user device, information regarding a service or an item. Using the received information, the network system generates an unpublished listing and associates the unpublished listing with a session identifier. The unpublished listing is temporarily stored to a datastore. The network system then generates a scannable code that provides a uniform resource identifier (URI) associated with the session identifier. The scannable code is presented on the first user device, whereby the scannable code can be scanned by a second user device to access, via the URI, a transaction user interface associated with the session identifier. In response to a request to access the transaction user interface triggered by the second user device scanning the scannable code, the transaction user interface is displayed on the second user device.

Abstract: In an example embodiment, bid specifications for an ecommerce transaction are transmitted from a party requesting bids to a plurality of bidders. Then a modification to the bid specifications is received from a first bidder of the plurality of bidders along with a bid in accordance with the modified bid specifications. The modified bid specifications may then be transmitted to the plurality of bidders other than the first bidder. Bids in accordance with the modified bid specifications are then received from each of the plurality of bidders other than the first bidder. One of the bids may be selected, and the ecommerce transaction may be consummated based on the selected bid.

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 system and method for obtaining relevant information for identifying items that are being listed for sale via electronic marketplace applications. More specifically, the systems and methods relate to obtaining relevant attribute values and/or information for a plurality of items at relatively the same time. In aspects, the systems and methods involve receiving an electronic file or folder having a plurality of electronic representations of each of the items. The electronic file or folder is then parsed to separate the different items for identification. Once separated, the system and methods involve sending the separate items to an identification service and retrieving the separate information for each item and returned to the requesting device.

Abstract: Methods and system for item matching are described. In one embodiment, compatibility-based text for an item may be accessed. A compatibility identifier may be identified based on the compatibility-based text. The compatibility identifier may be associated with an item cluster. The compatibility identifier may be used to identify a plurality of matching items. A result may be provided based on identification of the plurality of matching items. Additional methods and systems are disclosed.

Abstract: Systems and methods for on demand local commerce are described. One example embodiment includes a device gathering location information and product interest associated with clients and client devices. The system may use location information in determining that the first plurality of client devices are within a first geographic area during a first time period, and may further use the interest information in calculating an interest level for a first product. A threshold may be identified and used in determining that the interest level for the first product exceeds the threshold. When the calculated interest level exceeds the threshold, a local commerce action is initiated. In various embodiments, the local commerce action may be a live on demand auction at a particular location, an offer associated with a geofenced area, a sales location recommendation to a merchant, or any other such local commerce action.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.