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: An automated encryption system to: store a first key policy in association with a first key, and a second key policy in association with a second key; determine that a remote machine stores a first application that is affected by the first key policy and a second application affected by the second key policy, wherein the first application utilizes the first key to encrypt first data, and the second application utilizes the second key to encrypt second data; determine that the first key of the first application is non-compliant with the first key policy; send a request to deploy a third key in response to determining that the first key of the first application is non-compliant with the first key policy; and receive a response that includes a result of the request to deploy the third key.

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: Storage space is reclaimed by cleaning and compacting data objects where data objects are stored by immutable storage. A storage area of which space needs to be reclaimed is identified. Active and stale data objects stored in a storage area are identified, and only active data objects are transferred to a shadow storage area from the storage area when recovering storage space. I/O operations can be fulfilled from the storage area and the shadow storage area. Compaction requests and I/O requests are throttled according to QOS parameters. Recovery of storage space does not cause a failure to meet performance requirements for any storage volume.

Abstract: In various example embodiments, a system and method for modifying images are presented. The system receives a user interface selection initiating an image capture and detects a first image capture parameter. The system identifies an object of interest within a field of view of an image capture device and identifies a set of object characteristics of the object of interest. The system generates a parameter notification indicating a suggested modification of the first image capture parameter based on one or more object characteristics of the set of object characteristics. The system causes presentation of the parameter notification at the image capture device.

Abstract: Systems and methods of improving the functioning of a streaming platform system by managing database change stream offsets using a time series database are disclosed. In some example embodiments, a computer system retrieves an offset value from a plurality of offset values stored in a time series database, with the plurality of offset values being indexed in the time series database in time order, and the retrieved offset value being retrieved using a time parameter, and then the computer system transmits a data request to a stream-processing platform, with the data request comprising the retrieved offset value, and the data request being operable to retrieve a data record stored in association with the retrieved offset value in a storage layer of the stream-processing platform using the offset value.

Abstract: A machine is configured to automatically generate listings for multiple items. For example, the machine receives, from a client device, two or more images and two or more descriptions. The two or more images depict two or more items. The two or more descriptions pertain to the two or more items. The machine matches one or more images of the two or more images to a description of the two or more descriptions. The one or more images depict an item of the two or more items. The description pertains to the item. The machine, based on the matching, generates a listing of the item. The listing includes the one or more images depicting the item, and the description pertaining to the item. The machine causes display of the listing of the item in a user interface.

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 improve existing technologies by generating one or more user interface elements or personalized pages based on determining that a set of inventory items are within a geographical vicinity (e.g., a threshold distance) of a user. In response to a determination that a particular item is within a geographical vicinity of a user, some embodiments cause display of a page (e.g., a personalized page) that identifies item and/or other information, such as an identity and address of the local retailers that offer the item for sale. Such functionality can be integrated with additional functionality, such as electronic marketplace searches and item listings, and local delivery service requests, among other things.

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

Abstract: A method and system provide video-based results. In response to a request, listings associated with the request are determined, and a single results video is generated based on the listings. The results video is provided for presentation to provide details from the listings. When a select request is detected while the video is being presented, a listing associated with the select request is provided for display.

Abstract: Colored three-dimensional digital model generation techniques and systems are described. In one example, scanning techniques are employed by a scanning system that scans a physical object while disposed within packaging to form a three-dimension digital model. A model coloring system is employed to color the three-dimensional digital model. A two-dimensional digital image is employed that captures the same or similar physical object. In one example, features of the model are matched to the image. This is then used to align a viewing perspective with respect to the model with a viewing perspective of the object within the digital image, e.g., to find which “view” of the model corresponds with the image. The color is then applied from the digital image to the model, e.g., from pixels of the image to corresponding points in the model.

Abstract: Systems and methods for public transport infrastructure facilitated drone delivery are provided. In example embodiments, a request to deliver a package to a drop-off destination using a drone is received. Public infrastructure information is accessed. A public infrastructure terminal from which the drone delivers the package is identified based on the public infrastructure information. An instruction is communicated to transport the package to the identified public. A drone delivery route from the identified public infrastructure terminal to the drop-off destination is determined based on the public infrastructure information. An instruction to deliver the package using the drone delivery route is communicated to the drone.

Abstract: Methods and systems for generating new product images are disclosed. In one aspect, a method includes identifying, via hardware processing circuitry, a template for a category of products, the template defining locations of attributes of products belonging to the category, identifying, via the hardware processing circuitry, common attributes of products of the category based on the template, averaging, via the hardware processing circuitry, corresponding pixel values across images representing the products having the common attributes, generating, via the hardware processing circuitry, a new product image representing a new product based on the averaged pixel values; and generating, via the hardware processing circuitry, a modified new product image by varying attributes of the new product based on the locations of the attributes defined by the template.

Abstract: Systems and methods for processing webpage calls via multiple module responses are described. A system may receive, from a client device, a first call for module data associated with a set of webpage modules for presentation in a webpage. The system may subsequently transmit, to the client device based on receiving the first call, a first response including first module data associated with a first subset of the set of webpage modules. The first response may additionally include a token identifying the webpage. The server may additionally transmit, to the client device based on transmitting the first response, a second response including the token identifying the webpage and second module data associated with a second subset of the set of webpage modules that differs from the first subset of the set of webpage modules.

Abstract: Systems and methods for authenticating requests to use an Application Programming Interface (“API”) are described. In some embodiments, a request to use an API is issued from a client to a server. One or more credentials for a first-level authentication challenge are provided from the client to the server. Responsive to the server determining that the client deviates from an expected behavior based on comparing the request to use the API with a pattern of activity associated with the client, the client receives a second authentication challenge.

Abstract: Systems and methods are provided for creating and utilizing search indexes with different properties to provide efficient and flexible means for retrieving and ranking high-dimensional content. A first index and a second index are generated with a different sets of properties, which may include a permutation prefix length and a vector quantization scheme, and are each associated with a computational workload. Further, at least one index structure may be created with a posting list associated with a permutation prefix and a set of references, rather than only a permutation prefix, to balance out posting lists of variable lengths within the index. Another embodiment of the disclosure provides for expansion of search results at search time, rather than during indexing, by retrieving posting lists associated with shorter permutation prefix after an initial list is determined to have insufficient recall.

Abstract: Described herein is a system and method for performing ancillary activity. A device activity being performed by a user device of a user is detected. Attribute data associated with a plurality of attribute sources is accessed. A user preference indicating a preference for performing on a secondary user device a complementary activity corresponding to the device activity is inferred. Based on the inferred user preference, the secondary user device is identified according to a device status of the secondary user device, the device status indicating a device capability to perform the complementary activity. The complementary activity to be performed on the secondary user device is generated by analyzing at least one of the device activity, a device functionality of the secondary user device, and the user preference. Instructions to perform the complementary activity are transmitted to the secondary user device.

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: 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.