Abstract: Technologies are shown for network attribution tracking for a multi-legged transaction that involve receiving a tracking token registration request from a partner service, generating a tracking token associated with the partner service, adding an entry to an attribution stack for a transaction, where the entry associates the tracking token with the partner service, and returning the tracking token to the partner service. Receiving a tracking token request can include determining whether the tracking token request includes a previously generated tracking token and using the previously generated tracking token to identify the attribution stack for the transaction. Adding an entry to an attribution stack for a transaction can include adding the entry to the attribution stack identified for the transaction. Attribution for a transaction can be obtained by accumulating attribution entities from each entry in the attribution stack identified for the transaction.

Abstract: In accordance with one or more embodiments of the present disclosure, systems and methods for publishing and/or sharing media presentations over a network comprise communicating with a user and one or more distribution channels via the network, gathering media resources based on user input, creating a media presentation with the media resources based on user input, and publishing the media presentation by distributing the media presentation to the one or more distribution channels via the network. In one aspect, publishing comprises directly emailing the media presentation to one or more other users via the network. In another aspect, publishing comprises providing a link to one or more other users via the network for direct access to the media presentation. In still another aspect, publishing comprises obtaining and embedding source code for the media presentation in a web page associated with one or more of the distribution channels via the network.

Abstract: Systems and methods for passive social media contact engagement are provided. In example embodiments, a publication that represents an item available for purchase is identified. An item image for the publication is accessed. A profile image using the item image is generated. The profile image is assigned to an entity profile, corresponding to an entity associated with the publication, of a social networking service. The assignment of the profile image causes the profile image to be displayed to members of the social networking service in place of a member profile image.

Abstract: A videoconference system is described that generates a video for a room including multiple videoconference participants and outputs the video as part of the videoconference. The videoconference system is configured to generate the video as including a detailed view of one of the multiple videoconference participants located in the room. To do so, the videoconference system detects user devices located in the room capable of capturing video and determines a position of each user device. The videoconference system then detects a user speaking in the room and determines a position of the active speaker. At least one of the user devices is identified as including a camera oriented for capturing the active speaker. Video content captured by one or more user devices is then processed by the videoconference system to generate a detailed view of the active speaker.

Abstract: A user may use a client device to create a draft document by interacting with a server. The user provides an image in a message (e.g., a multimedia messaging service (MMS) message) from a different device. The server receives the image and modifies the draft (e.g., by updating a web page being displayed on the client device). This process allows the user to type text for a draft using a client device that includes a keyboard (e.g., a desktop or laptop computer) and to add an image to the draft using a second device that includes a camera (e.g., a mobile phone or tablet computer) without having to transfer the image from the second device to the first device.

Abstract: Methods and systems for improved categorization of queries are disclosed. In one aspect, a search query is received and determined to match a pattern having an uncategorized variable placeholder portion. In response to determining the search query matches the pattern, the pattern is used to identify a first portion of the search query based on the first portion of the search query corresponding to the uncategorized variable placeholder portion of the pattern. The search query is categorized by assigning, to the search query, a category associated with the first portion of the search query. Search results are generated for the search query using the category associated with the first portion of the search query.

Abstract: In one embodiment, a method comprises receiving, via a mobile station, contextual information or geographic location data relating to a plurality of members of the population within the geographic region, identifying a common element in the received contextual information relating to at least two members of the population as a basis for defining a geofence to include the at least two members, wherein the common element is identified upon a comparison of the first and second contextual information, and defining the boundary of the geofence.

Abstract: Systems and methods for authenticating users in three-dimensional environments are described. In some embodiments, a virtual object and three-dimensional environment are transmitted. Virtual motion data of the virtual object is received. The received virtual motion data is compared against a pattern. Based on the comparison of the patterns, a device is authorized to access a resource. In some embodiments, a pattern may be extracted from the received virtual motion data.

Abstract: Techniques for mapping size information associated with a client to target brands, garments, sizes, shapes, and styles for which there is no standardized correlation. The size information associated with a client may be generated by modeling client garments, accessing computer aided drawing (CAD) files associated with client garments, or by analyzing a history of garment purchases associated with the client. Information for target garments may be generated in a similar fashion. A system may then create a standardized scale with a set of sizes for a target, and map a client base size to that standardized size scale. Similar matching and mapping may also be done with shape and style considerations. A recommendation based on the mapping may then be communicated to the client.

Abstract: A web-based item listing platform provides item listings that users can create or search. Item listings can be generated using structured information extracted while capturing an item listing video of the item. During creation of the item listing video, input prompts are provided to the user that cause a mobile device to provide an input request, such as taking an image of a specific feature of the item or providing some other item description information. During the item listing video, image recognition models may also be employed to determine other item description information, such as the color, the brand, and the like. The item listing can be generated from the item listing video by populating a set of structured data elements associated with an item description type. Each structured data element is populated with the item description information corresponding to the associated item description type.

Abstract: 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.

Abstract: Techniques are shown for key management using a traceable key block-chain ledger involving creating a cryptographic key at a key source, generating a key block on a block-chain ledger corresponding to the cryptographic key, and securely modifying the key block to include metadata describing the key source. The techniques also involve performing a first key transaction with the cryptographic key, generating a first transaction block on the block-chain ledger corresponding to the first key transaction with the cryptographic key, linking the first transaction block to the key block and securely modifying the first transaction block to include metadata describing the first key transaction with the cryptographic key.

Abstract: A computed-implemented method and system for recommending business applications on a network-based marketplace are described. A user's listings, representing items for sale on the marketplace, are harvested to calculate segmentation data and metrics that form a user profile. The user profile is compared with other similar users who have subscribed to various applications, and the impact those applications have had on the metrics of the similar users is calculated in order to determine what impact the applications will have on the user in question. The impact, combined with user preferences, is used to suggest appropriate applications, which are displayed to the user within the marketplace. If the user selects one of the applications, the application is added to the user's profile and relevant listings are updated with the new application.

Abstract: Technologies are shown for secure management of a data file secured on a data file management blockchain that involve generating a genesis block for a data file management blockchain that contains a data file to be managed and signing the genesis block to commit the genesis block to the data file management blockchain. One or more transaction data blocks are generated for the data file management blockchain that each include a modification to the data file and the blocks are signed to commit them to the blockchain. In some examples, the modifications describe changes to the data file and the transaction data blocks are traced to the genesis block and a current data file generated by applying the modifications on the transaction data blocks to the data file in a sequence determined by an order of the one or more transaction data blocks in the data file management blockchain.

Abstract: Methods, systems, and computer storage media are provided for providing an application programming interface (“API”) for executing a query are provided. The API call, scheduling, and assignment processing engines may generate and schedule assignments, along with associated dataset portions, based on the query. Based on the assignments and datasets, the assignments may be scheduled for execution by processes of nodes in a distributed system. The API call and query may also include implementation instructions that require storing dataset portions into memory that is associated with a process executing the assignment for an in-memory database implementation. As the assignment is executed using a dataset portion that is stored on memory associated with a process, results may be stored in a file. Once each assignment has been executed and has a result file, the result files are merged to provide results of the query and API call to the user.

Abstract: Methods and systems to build containers of uncategorized items are described. In some example embodiments, the methods and systems collect information from titles of items available for purchase within a network-based publication system, generate a title for a container of uncategorized items available for purchase within the network-based publication system that is based on the collected information, and associate two or more uncategorized items available for purchase within the network-based publication system to the container based on a comparison of titles of the two or more uncategorized items and the generated title for the container of uncategorized items.

Abstract: Systems and methods detect and neutralize malware infected electronic communications. Interface information is received at a client machine over a network from a server. The interface information includes a first input mechanism authorized for causing a first prompt to be presented in a user interface to receive user information and countermeasure information enabling the client machine to inspect the interface information on the client machine to detect modification of the interface information. The client device uses the countermeasure information to detect whether the interface information has been modified to include a second input mechanism not authorized for causing a second prompt to be presented in the user interface to receive user information.

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: In various example embodiments, a system and method for integration of a three-dimensional model is disclosed. In one example embodiment, a method includes receiving a plurality of images, selecting points on the images and triangulating the points to generate a plurality of depth maps, generate a three-dimensional mesh by combining the plurality of depth maps, generating a three-dimensional model of the item by projecting the plurality of images onto the mesh using the points, calibrating colors used in the model using colors diffuse properties of the colors in the images, and providing a user interface allowing a user to select one or more user points on the three-dimensional model and provide additional information associated with the selected user points.

Abstract: A system to provide image processing services responsive to requests including image data includes a system layer that forwards a request to an image application processing interface. Image processing provides an image comparison, barcode recognition, and optical character recognition. The image processing compares the image data to products in a database in order to identify a matching product. The system layer receives the matching information and forwards to a user.

Abstract: A mediator system, which serves as a conduit between a customer and merchants, includes customer profile data. The mediator system analyzes the customer profile data, and assigns an indication to a customer represented by the customer profile data. The mediator system then provides the indication to the merchants, and then receives bids from the merchants. The bids are for establishing a connection between the merchants and the customer. The mediator system provides to a portion of the merchants, based on the bids, a connection to the customer.

Abstract: A system receives image data associated with an item, where the image data comprising a view of the item from two or more angles; determines physical attributes of the item; generates a base model of the item; samples the base model to generate one or more sampled models, each of the one or more sampled models comprising a subset of the geometric data, the subset of the geometric data determined based on one or more device characteristics of one or more user devices that interface with the system; receives device characteristics of a user device associated with a request from the user device for the item; selects, based on the received device characteristics, a sampled model of the item; and transmits a data object comprising the selected sampled model to the user device to cause the user device to generate a three-dimensional rendering of the item.

Abstract: In an example embodiment, information about a buyer in an ecommerce system is obtained. An unpaid item risk assessment is calculated for the buyer, the unpaid item risk assessment calculating a risk that the buyer will not pay for an item on which the buyer bids. A bid limit is then established based on the unpaid item risk assessment. A bid from the buyer may then later be blocked based on the bid limit.

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.

Abstract: Techniques for modifying a garment based on gestures are presented herein. An access module can access a first set of sensor data from a first sensor, and a second set of sensor data from a second sensor. A garment simulation module can generate a three-dimensional (3D) garment model of a garment available for sale draped on an avatar based on the first set of sensor data and the second set of sensor data. A display module can cause a presentation, on a display of a device, of the 3D garment model draped on the avatar. Additionally, the garment simulation module can determine a modification gesture associated with the 3D garment model draped on the avatar based on the first set of sensor data and the second set of sensor data. Furthermore, the garment simulation module can modify the 3D garment model based on the determined modification gesture.

Abstract: A search engine provides diverse search results in response to a search query using a trained diversity ranker. The diverse results may be generated by determining ranking positions of at least some search results based on delta feature values that are dependent on higher-ranked results. Delta feature values indicate a degree or magnitude of difference between a particular result and other results with respect to a particular feature, such as price, category, or shipping type. In providing the ranked results for presentation to a user at a computing device, a diversity feature indicator for at least some results may be generated. The diversity feature is a feature that distinguishes a given result from other results. As such, the diversity feature indicator represents that diversity feature for the particular result being different from other results and distinguishes the diversity feature from other features in the particular result.

Abstract: In various example embodiments, a system and method for retrieving database records are presented. A method includes receiving an access request for database records, identifying a primary database record corresponding to the access request, and selecting a set of secondary database records corresponding to a portion of the access request. The method determines a set of differentiating elements within records of the set of secondary database records. Each differentiating element distinguishes at least one record of the set of secondary database records from one or more of the primary database record and a portion of the records included in the set of secondary database records. The method generates a formatted search interface including a set of selectable interface icons representing one or more differentiating elements and causes presentation of the formatted search interface at a client device associated with the access request.

Abstract: Example embodiments of a system and method for image-based listing of an item, using an image of multiple items, are generally described herein. In some example embodiments, an image-based listing system includes an identifying module to identify a portion of an image of multiple items, the portion of the image depicting the item; a tagging module to associate tag information with the portion of the image, the tag information being associated with the item; and a listing module to list the item, the listing of the item comprising displaying at least some tag information.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a geographic recommendation platform. The geographic recommendation platform receives data identifying a geographic region specified by a user and gathers data relating to the geographic region. The geographic recommendation platform determines, based on the data relating to the geographic region, an anticipated demand for an item within geographic region. The anticipated demand indicates how likely the item is to be purchased by a user that is located within the geographic region. The geographic recommendation platform generates a recommendation for the item based on the anticipated demand. The recommendation indicates the anticipated demand for the item within the geographic region. The geographic recommendation platform transmits the recommendation to the user.

Abstract: An apparatus and method for real-time audio processing employs a gaze detection sensor to detect a direction of a user's gaze and output a gaze signal corresponding to the detected direction of the user's gaze. A digital signal processing unit responds to a plurality of signals corresponding to a plurality of sounds received at the apparatus, and the determined direction of gaze to identify a signal of interest from the plurality of signals using the gaze signal. The signal of interest is processed for output to the user. In embodiments, a microphone array provides the plurality of signals. An imaging sensor may work with either the microphone array or the gaze detection sensor to identify the signal of interest.

Abstract: An augmented reality or virtual reality (AR/VR) device pairs with a companion device to augment input interfaces associated with an AR/VR application at the AR/VR device. In implementations, an AR/VR device determines a portion of a markup file that corresponds to an AR/VR scene of a plurality of AR/VR scenes in an AR/VR environment, and communicates the portion of the markup file to the companion device to cause the companion device to configure a companion user interface associated with initiating an action as part of the AR/VR scene. In response to receiving user input via the companion user interface, the companion device communicates the action to the AR/VR device to initiate the action. The AR/VR device receives input data from the companion device, and initiates the action for the AR/VR scene.

Abstract: Various implementations described herein are able to leverage the interaction from one or more potential buyers relative to a digital image to automatically create a sales listing for items that appear to be of interest to the buyers. This reduces or eliminates all together the manual effort previously required of sellers in researching and collecting data on each item they wish to sell. Because of their technical nature, the innovative solutions described herein are also readily scalable which, in turn, greatly improves the seller's experience. Based on buyer interaction experiences, sales listings for each item for sale can be automatically created and listed.

Abstract: Various embodiments described herein assist in identifying one or more product items of interest (e.g., high demand product items) based on surge activity, such as user buying surges, user selling surges, and user product listing (e.g., electronic or online listing) surges on an online marketplace system, and can further notify one or more users of selling opportunities of the identified products items of interest.

Abstract: A videoconference system is described that generates a video for a room including multiple videoconference participants and outputs the video as part of the videoconference. The videoconference system is configured to generate the video as including a detailed view of one of the multiple videoconference participants located in the room. To do so, the videoconference system detects user devices located in the room capable of capturing video and determines a position of each user device. The videoconference system then detects a user speaking in the room and determines a position of the active speaker. At least one of the user devices is identified as including a camera oriented for capturing the active speaker. Video content captured by one or more user devices is then processed by the videoconference system to generate a detailed view of the active speaker.

Abstract: Methods, systems, and computer storage media are provided for tracking an advertisement based on the advertisement's context. When an ad event is received on a client-computing device, a single URL is determined to display an item and track a context of the ad event. A first parameter related to the ad event is encoded as a HTTP header, and a second parameter related to tracking the ad event is encoded as a query parameter appended to the URL. The URL with the HTTP header is called, causing a domain server named in the URL to extract the first parameter from the HTTP header and the second parameter from the query parameter in order to determine the context of the ad. The domain server asynchronously requests tracking of the ad based on the context. Additionally, content for a landing page is received from the domain server.

Abstract: Methods, systems, and computer storage media provide a concurrent browsing session. A user interface is provided for display on a first computing device of a first user to facilitate the concurrent browsing session. The user interface simultaneously displays a first browsing screen showing interaction of the first user with a site and a real-time feed of a second browsing screen presented on a second computing device of a second user showing interaction of the second user with the site. A request is received to split payment of a first item in a first digital cart. In response to the request, a first payment interface for a first portion of the payment is provided for display on the first computing device, and a second payment interface for a second portion of the payment is provided for display on the second computing 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: A security authentication system for a website provides a safe login without having to directly enter an ID and a password on a user device requesting login to the website. A first user device receives one-time use authentication information from a second user device after the second user device received the one-time use authentication information from an authentication server without the authentication server receiving user login authentication information from the second user device. A request is transmitted to the authentication server based on the one-time use authentication information and the user login authentication information. In response to the request, one-time password (OTP) information is received from the authentication server. The OTP information is presented by the first user device, such that the OTP information can be entered into the second user device and used in a request to log in to the website.

Abstract: In an example embodiment, an item characteristic is received, the item characteristic pertaining to an item being listed for sale, by a seller, via an ecommerce service. Then, a plurality of past transactions of items having the item characteristic are analyzed. Based on this analysis, a first set of one or more optimal listing configuration parameters are identified in accordance with a first set of listing criteria. Then, the first set of one or more identified optimal listing configuration parameters to the seller in a user interface that permits the seller to change one or more listing configuration parameters based on the presentation.

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: Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.

Abstract: In various example embodiments, a system and method for using camera metadata for making recommendations are presented. At least one image file having camera metadata is received. The camera metadata of the at least one image file is analyzed to determine improvements to image capture aspects associated with the at least one image file. Feedback related to the improvements to the image capture aspects associated with the at least one image file is generated. In some embodiments, the feedback may be used to generate camera and other product upgrade recommendations.

Abstract: A system and method for generating an electronic catalog booklet for online computer users is disclosed. The system and method in an example embodiment includes providing access to a database of item listings; enabling selection of a plurality of item listings from at least some of the item listings provided in the database; enabling arrangement of the plurality of selected item listings on a plurality of pages in a computer-generated electronic catalog booklet; recording an identifier of the computer-generated electronic catalog booklet; and recording information associating each of the plurality of selected item listings with the identifier of the computer-generated electronic catalog booklet.

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: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

Abstract: Gesture functionality is provided in a computing environment. In example embodiments, a gesture input is received. A style difference is identified between a known gesture input of a set of known gesture inputs and the received gesture input. The set of known gesture inputs is caused to be modified to include the style difference by updating a database that stores the set of known gesture inputs.

Abstract: Technology for the improved processing of search queries is provided. In one embodiment, methods may return semantically relevant search results for a search query. During a pre-computing offline processing, an inventory semantic index may be generated and may include inventory binary hashing signatures that are associated with inventory listings, such as goods or services for sell, and the index may be partitioned by categories and shards. When a search query is received, relevant categories are determined using a relevant category recognition service, and a search query binary hashing signature maybe generated for the search query. The relevant categories are searched to determine hamming distances between the inventory binary hashing signatures and the search query binary hashing signature, where the hamming distance indicates semantic relevance.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.