Abstract: In various example embodiments, a system and method for dynamically generating virtual marketplace platforms are presented. The system receives a set of facility data, a set of selections for a set of user interaction objects, and a set of object placement selections. The set of user interaction objects includes a first subset and a second subset. The system generates a virtual facility comprising the facility data and the set of user interaction objects distributed based on the object placement selections. The system receives user data for a user interacting with the virtual facility and one or more objects of the first and second subset of user interaction objects, dynamically arranges the second subset of user interaction objects into a second arrangement and causes presentation of the virtual facility and the set of user interaction objects to the user.

Abstract: Disclosed are embodiments for facilitating automatic-guided image capturing and presentation. In some embodiments, the method includes capturing an image of an item, removing a background of the image frame, performing manual mask editing, generating an item listing based on the manually edited mask, inferring item information from the image frame and applying the inferred item information to an item listing.

Abstract: Systems and methods for managing a multi-listing combined offer are provided. A networked system receives an indication to add a combination of items from multiple sellers into a virtual cart. In response, the networked system causes presentation of a user interface showing a combination of items from multiple sellers. The networked system receives, from the buyer, a buyer offer price for the combination of items. In response, the networked system accesses, from a data storage, item information for each item of the combination of items, whereby the item information includes a seller identifier, an original item price, and shipping cost for each item. The networked system then generates, based on the accessed item information and the buyer offer price, a split offer price for each seller, whereby the split offer price is a split of the buyer offer price. The split offer price is then presented to each corresponding seller.

Abstract: A method for automatic metadata tag identification for videos is described. Content features are extracted from a video into respective data structures. The extracted content features are from at least two different feature modalities. The respective data structures are encoded into a common data structure using an encoder of a recurrent neural network (RNN) model. The common data structure is decoded using a decoder of the RNN model to identify content platform metadata tags to be associated with the video on a social content platform. Decoding is based on group tag data for users of the social content platform that identifies groups of the users and corresponding group metadata tags of interest for the groups of users.

Abstract: An electronic garage shelf is described. The system includes an electronic garage shelf which may be a metaphor for a shelf in a garage that is used to store parts for a vehicle. Merely for example, the electronic garage shelf may store a token part that signifies a part or smart component such as an oil filter, carburetor, spark plug, on a garage shelf in the user's garage. Further, the metaphor for a shelf in the garage may be expanded to include a virtual part that represents a part or smart component the user wants to acquire. Accordingly, the system may include garage shelf information comprised of virtual part information and token part information where the virtual part information may store virtual parts signifying parts that are desirable for acquisition and the token part information may store token parts signifying parts that are in the possession of the user.

Abstract: The present disclosure is directed to providing supplemental content to one or more client devices requesting multimedia content. The supplemental content may be determined or selected based on the availability of one or more device channels, such as a display, speakers, or other component of the one or more client devices capable of providing an output. The supplemental content may also be selected based on one or more characteristics of the requested multimedia content, such as a genre, subject matter, or duration. Furthermore, the supplemental content may be determined or selected based on the portions of the requested multimedia content that are the most prominent or significant, such as any audio content, any video content, and/or any textual content. The supplemental content may be provided to the one or more client devices such that it is displayed before, during, or after the display of the requested multimedia content.

Abstract: A method of generating a user-interface to be displayed at a remote location may include receiving a search request for an item listing and retrieving a first listing and a second listing based on the search request, determining a similarity score between the first and second listings that is based on multiple properties common to the first and second listings, and generating instructions to be transmitted to a remote location to generate a user interface to be displayed at the remote location, the user interface including the first listing, the instructions excluding the second listing from a list of results displayed on the user interface based on the similarity score exceeding a threshold and the first listing including superior values in at least one of the plurality of properties common to the first and second listings. The method may also include transmitting the instructions to the remote location for display.

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.

Abstract: In various example embodiments, a system and method for handling a replaced smart device are presented. A computer-implemented replaced device handler detects that a user's smart device was replaced with a new device of the same class and, in response, presents the user with an invitation to sell their old device that has been replaced. A replaced device handler may be provided in connection with an on-line trading platform.

Abstract: Techniques are shown for key management using a traceable key blockchain. A first block corresponding to a cryptographic key is generated on the blockchain, and the first block is securely modified to include metadata describing a key source for the cryptographic key. A second block corresponding to a first key transaction with the cryptographic key is generated on the blockchain, the second block is linked to the first block, and the second block is securely modified to include metadata describing the first key transaction with the cryptographic key.

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 method and a system implement a thermal context manager (hereinafter “TCM”) that detects a thermal state and a position of a computing device. Based on the detected thermal state(s) and the detected position(s) of the computing device, the TCM initiates an action associated with the computing device. The TCM continually monitors the computing device in order to create a thermal state profile of the computing device. To create the thermal state profile, the TCM stores data representing each detected instance of the thermal state of the computing device and data representing each detected position of the computing device.

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: 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: Virtual environment arrangement and configuration techniques are described. In one example, virtualization techniques are employed to generate a virtual environment as implemented via a virtual reality platform by one or more computing devices. The virtual environment includes virtual stores arranged along virtual streets. Virtual digital content is included in the stores, such as to initiate conversion of a good or service represented by the content. Configuration of the virtual environment is based on user, provider, and/or machine learning inputs.

Abstract: A machine is configured to automatically order consumable items for an account. For example, the machine accesses image input associated with a consumable item. The image input is recorded by a camera associated with a client device. The machine identifies an account based on an identifier of the client device. The machine determines a level of consumption of the consumable item for the account based on the image input. The machine, based on the level of consumption, automatically places an order for the consumable item, for the account. The machine, in response to the automatic placing of the order, causes display of a notification describing the automatically placed order in a user interface of the client device. A selection of the notification describing the automatically placed order for the consumable item causes display of an automatically generated request to specify a schedule of future automatic orders for the consumable item.

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 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: A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.

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: Methods and systems for displaying, to a user interface, categories of items for the user to select from for querying the system, in order to enable the system to return to the user images of items of the type desired by the user for possible purchase. The items categories of items can be presented to the user interface visually in silhouette form so that the user can select brand and the silhouette image of the type of item desired. Upon selection of the silhouette image, a query is sent to the system and images of the desired type of item are returned to the user interface for presentation to the user, along with certain attributes of the items.