Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.

Abstract: A system for transmitting information related to a network-based marketplace includes identifying information that may be interesting, useful, and entertaining to the users and to the potential users of the network-based marketplace. The identified information may be other than information that is already being displayed in listings by the network-based marketplace. The identified information may be about the sellers, the buyers or other items related to the items offered for sale.

Abstract: A method for compressing data in a local cache of a web server is described. A local cache compression engine accesses values in the local cache and determines a cardinality of the values of the local cache. The local cache compression engine determines a compression rate of a compression algorithm based on the cardinality of the values of the local cache. The compression algorithm is applied to the cache based on the compression rate to generate a compressed local cache.

Abstract: Described are computing systems and methods configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. An operational visual includes a radar-based visual with a heatmap arranging metrics, and a node representing a state of the metrics. Moreover, the system uses an ensemble of unsupervised machine learning algorithms for multi-dimensional clustering of hundreds of thousands of monitored metrics. Via the visuals and the implementation of the machine learning algorithms, the described techniques provide an improved way of representing and simulating many metrics being monitored for a platform. Moreover, the techniques are configured to expose actionable and useful information associated with the platform in a manner that can be effectively interpreted.

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.

Abstract: In an example embodiment, a distributed storage system includes a service tier including a service node to receive a request for a logical object comprising binary data and metadata describing the binary data, and a storage tier including a plurality of storage nodes, wherein one or more of the storage nodes is to store the metadata describing the binary data. The distributed storage system also includes a coordination tier to store mapping information identifying the one or more of the storage nodes storing the metadata. The service node is also to receive the mapping information from the coordination tier, to access the metadata describing the binary data from one of the one or more of the storage nodes based on the mapping information, and to return the metadata describing the binary data in a response to the request.

Abstract: Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.

Abstract: A system according to an embodiment comprises one or more processors; and one or more memories in communication with the one or more processors and adapted to store a plurality of machine-readable instructions which when executed by the one or more processors are adapted to cause the system to: offer, by a merchant at a Point of Sale (POS), at least one payment option in connection with a transaction for at least one item, wherein the payment option(s) is presented in a display tailored to a specific user based on information maintained by the merchant about the specific user; and process the transaction using a payment option selected by the user.

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: 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: 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: Systems and methods for preemptive adjustments of connections in a server connection pool are provided. In example embodiments, a number of quality of service engines analyze server connection pool metrics data to generate instructions to increase or decrease the number of connections in a connection pool, preemptively, before shortages or surpluses of connections occur. Corrective engines can analyze performance of the quality of service engines and can, when necessary, instruct the quality of service engines to modify their prediction mechanisms.

Abstract: Technologies described reduce the amount of time between requesting content and receiving the requested content. In some embodiments, a client provides a search query. A search result page is generated and, prior to returning the search result page to the client, some or all of the search results are asynchronously pre-fetched and cached. The search query can include custom parameters that are also included in the pre-fetch requests. Web addresses in the search results page can be modified to indicate whether a prefetch operation was initiated. Once a user activates one of the search results, the responding web server uses the cached data while generating a response.

Abstract: Techniques are described herein that overcome the limitations of conventional techniques by bridging a gap between user interaction with digital content using a computing device and a user's physical environment through use of augmented reality content. In one example, user interaction with augmented reality digital content as part of a live stream of digital images of a user's environment is used to specify a size of an area that is used to filter search results to find a “best fit”. In another example, a geometric shape is used to represent a size and shape of an object included in a digital image (e.g., a two-dimensional digital image). The geometric shape is displayed as augmented reality digital content as part of a live stream of digital images to “assess fit” of the object in the user's physical environment.

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: In accordance with embodiments of the present disclosure, systems and methods for facilitating electronic commerce over a network include communicating with a plurality of users via a plurality of user devices over the network, receiving a login request from a first user via a first user device over the network, accessing an account related to the user based on information passed with the login request, receiving a snaplist file related to a multiple image listing provided by the first user via the first user device, processing the snaplist file by extracting the multiple image listing from the snaplist file, and displaying the multiple image listing to one or more other users via one or more other user devices.

Abstract: Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.

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: Technologies described herein reduce the size of a software application. In some embodiments, the size of one or more resource files of an application are reduced. Resource files include key/value pairs that define elements of the application. In some embodiments, the application's source code is analyzed to determine if an entry in a resource file may be removed. For instance, initialization functions in the application's source code may be analyzed to determine if a value loaded from a resource file is replaced before being used. For example, a button with a color property may be defined as grey by a resource, but later set to orange in an initialization function. In this case, the resource entry defining the button as grey is superfluous and may be safely removed. This technique allows for entries to be removed from a resource file even though the source code references the entries.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: An indication of a touch on a touch-enabled screen of a device is received that indicates a selection of a date facet in a listing of items. The date facet denotes a temporal indicator, other facets denote non-temporal indicators. An indication of a pinch gesture is received. The date facet is scaled to produce a scaled-facet listing. The scaling includes modifying a degree of a characteristic of the date facet in an increasing amount including producing a scaled-out listing implemented as an updated portion of item data having a different temporal indicator than an initial display of the item data by an amount proportional to a magnitude of a pinch gesture characteristic of the pinch gesture. The scaled-facet listing is displayed by exposing an updated set of the item data having the modified degree of the characteristic and replacing previous item data with the scaled-out listing.

Abstract: In an example embodiment, a method of identifying an item depicted in an image is provided. In this method, the image depicting the item is accessed; in addition, other images and their item identifiers are also accessed. A match of the image with one of the other images is identified. With a match, the image is then associated with an item identifier of the matched image.

Abstract: Visual diagram searching techniques are described herein. A visual diagram service enables users to efficiently search for data for item parts even in cases where the name of the item part is unknown. In one or more examples, search query input to locate item parts of an item is received via a user interface displayed by at least one computing device. A visual diagram of the item is displayed in the user interface. The visual diagram includes selectable portions mapped to respective item parts depicted in the corresponding selectable portion of the visual diagram. A user selection of one of the selectable portions of the visual diagram of the item is received via the user interface. In response to the user selection, search result data corresponding to the respective item part depicted in the selected selectable portion of the visual diagram of the item is displayed.

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: 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: 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: An apparatus is provided including a processor, a memory, and a vehicle tracking portal. The vehicle tracking portal is configured to obtain vehicle identification information regarding a vehicle. Then diagnostic information regarding the vehicle can be obtained. Then, based on the vehicle identification and the diagnostic information, a recommended service for the vehicle can be determined. A user can then be alerted to the recommended service.

Abstract: Aspects of the present disclosure include a navigation system and computer-implemented methods for detecting traffic disruption events based on an analysis of input component data obtained from navigation-enabled devices of vehicles near a particular location. Traffic disruption events are events such as accidents, construction road closures, police and speed traps, or road hazards that cause a decrease in the flow of traffic along a particular route and thus, added time delays for occupants of vehicles traveling along those routes. The navigation system scores the input component data associated with each vehicle and aggregates the scored input component data to obtain a frustration score associated with the vehicle. The navigation system may detect traffic disruption events based on a number of vehicles near a particular area having associated frustration scores above a certain threshold.

Abstract: Techniques for managing electronic user profiles are presented herein. An example method includes accessing, from a data structure, a user profile. The user profile can include a profile identifier and a plurality of data fields. The method also includes displaying, on a display device, an interactive user interface. The user interface can include a plurality of user interface action elements. Each of the user interface action elements can be associated with a data field in the data structure. Each of the user interface action elements can also be individually selectable by a respective user action to transmit the associated data field to a remote device. In response to receiving a selection of a user interface action element, the method can further include transmitting the associated data field and the profile identifier to a router configured to send, based on the profile identifier, the associated data field to the remote device.

Abstract: Sequential selections are presented by receiving an input on an active portion of a display of the computing device. While the input is received, a plurality of selections are sequentially displayed on the display. An indication is received that the input on the active portion of the display of the computing device has changed. In response to receiving the indication that the input has changed, the computing device stops presenting the plurality of selections and determines which selection of the plurality of selections was presented on the display when the input changed. The determined selection is then displayed.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. A predefined response sound corresponding to the predefined user query may then be emitted, using a speaker of the mobile device. Additionally, user identification information may be displayed on a screen in response to detecting contact with the mobile device using at least one of an accelerometer and a gyroscope.

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: Different action user-interface components in a comparison view are described. Initially, a selection is received to display a comparison view via a user interface of a listing platform. Multiple listings of the listing platform are selected for inclusion in the comparison view. A comparison view system determines which action of a plurality of actions, used by the listing platform, to associate with each of the listings. A display device displays the multiple listings concurrently in a comparison view via a user interface of the listing platform and also displays an action user-interface component (e.g., a button) in each of the plurality of listings. The action user-interface component is selectable to initiate the action associated with the respective listing. In accordance with the described techniques, the action user-interface component displayed in at least two of the multiple listings is selectable to initiate different actions in relation to the respective listing.

Abstract: Described are computing systems and methods, computer program products, and application programming interfaces (APIs) or web requests that facilitate code sharing between operators of e-commerce platforms. In accordance with various embodiments, a codeshare principal shares its inventory and other functionality with a codeshare partner to thereby expand its customer base. Requests from the partner to the principal include identifiers of the partner as well as the partner's user, allowing the principal to track its extended customer base and tailor restricted offers to users of affiliated partner systems.

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: In accordance with one or more embodiments of the present disclosure, methods and apparatus are provided for flexible and user-friendly position editing of loaded media in a multi-media presentation. In one embodiment, a method for editing the position of loaded media comprises loading a page of a collage document to a client device, the page having a plurality of layers with each layer being associated with a media object, and creating a list of layers of the loaded page with each layer indexed by at least a position in the collage document. The method further includes selecting a first media object, selecting a position editing tool to group the first media object and at least one other media object adjacent to the first media object; and moving the grouped first media object and the at least one other media object to a different position in the collage document. A client device for position editing loaded media is also disclosed.

Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item.

Abstract: In a system and method for searching, browsing, and visualizing items, a first image containing an item is received to be stored in an account associated with a user. The first image is processed using a processor to extract an image of the item from the first image. The image of the item is layered over a stream of video frames received from the client device to form a superimposed image. The superimposed image is caused to be displayed on the client device.

Abstract: Real time item listing modification is described. A listing modification system receives, via a real time communication protocol from a client device, user interaction data that describes an item listing of a network-based commerce system currently being accessed at the client device. The user interaction data further describes an identity of a user of the client device and a mariner in which the user of the client device interacts with the item listing. A modification user interface is generated for output at a different computing device and configured to present the user interaction data together with controls that are selectable to cause modification of the item listing output to the client device. The modified item listing is selectively output to only the client device, such that other computing devices simultaneously accessing the item listing are not updated to display the modified item listing.

Abstract: Search result-based listing generation in a single view is described. Initially, search query input is received via a user interface and, as it is received, a listing system presents obtained search results via the user interface. The listing system supports generation of listings from search results, in part, by employing a listing schema that defines attributes for listings. Responsive to selection of a search result, for instance, the listing system identifies information of the selected search result corresponding to these attributes. The listing system then configures the user interface to present, concurrently with the search results, a listing template with this information. These listing templates are the basis for generating listings exposed to client devices by a distribution platform. Responsive to input to submit a listing, for instance, the listing system forms the listing from the information in the listing template and communicates the listing to the distribution platform.

Abstract: Model placement metadata is defined and stored for a three-dimensional (“3D”) model. The model placement metadata specifies constraints on the presentation of the 3D model when rendered in a view of a real-world environment, such as a view of a real-world environment generated by wearable computing device like an augmented reality (“AR”) or virtual reality (“VR”) device. A wearable computing device can analyze the geometry of a real-world environment to determine a configuration for the 3D model that satisfies the constraints set forth by the model placement metadata when the 3D model is rendered in a view of the environment. Once the configuration for the 3D model has been computed, the wearable device can render the 3D model according to the displayed configuration and display the rendering in a view of the real-world environment.

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: 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: 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: Described are aspects of a sharded monitoring system that collects metrics data from a plurality of targets within a monitored system. In various embodiments, the monitoring system includes multiple monitoring-server instances each collecting metrics data from a respective subset of the targets, as well as a federation server that collects aggregated metrics data from the other monitoring-server instances. Mappings between monitoring targets and monitoring-server instances collecting their metrics data may be stored in a temporal routing map, e.g., on the federation server, which may build the map, in accordance with some embodiments, based on time-series routing metrics received from the other monitoring-serve instances. The routing map may be used to direct queries for metrics data from a client to the appropriate monitoring-server instance. Further aspects and embodiments are disclosed.

Abstract: A computer-implemented method of information presentation on multiple devices is provided. The method may include presenting a first barcode on a webpage. The first barcode may be encoded with first data based on a uniform resource locator of the webpage. The method may also include generating second data based on a user interaction with the webpage and altering a configuration of the webpage based on the user interaction without leaving the webpage. The method may also include generating a second barcode encoded with the first data and the second data. The method may further include presenting the second barcode on the webpage with the altered configuration.

Abstract: In various example embodiments, devices, systems, and methods for a waist measuring belt are provided. An example waist measuring belt is made up of a belt buckle frame with attachments for a belt strap. The belt further includes a position measuring module coupled to the belt buckle frame that measures an attachment position of a second end of the belt strap to the belt buckle frame. The belt also includes a tension measuring module coupled to the belt buckle frame that measures a tension through the belt buckle frame and the belt strap. A memory and a wireless communication module attached to the belt may be used to store measurements and communicate with a mobile device or server. In various embodiments, estimated user waist sizes over time using measured values and belt-specific data may be used to estimate a user's waist size and generate a waist size history.

Abstract: Techniques for lip-reading session triggering events are described. A computing device is equipped with lip-reading capability that enables the device to “read the lips” (i.e., facial features) of a user. The computing device determines when a triggering event occurs to automatically cause the computing device to switch from one input type to a lip-reading session. Lip-reading is also used in conjunction with other types of inputs to improve accuracy of the input. Machine learning is used to personalize the lip-reading capability of the computing device for a particular user.

Abstract: Techniques for optimizing power and computational density of data centers are described. According to various embodiments, a benchmark test is performed by a computer data center system. Thereafter, transaction information and power consumption information associated with the performance of the benchmark test are accessed. A service efficiency metric value is then generated based on the transaction information and the power consumption information, the service efficiency metric value indicating a number of transactions executed via the computer data center system during a specific time period per unit of power consumed in executing the transactions during the specific time period. The generated service efficiency metric value is then compared to a target threshold value. Thereafter, a performance summary report indicating the generated service efficiency metric value, and indicating a result of the comparison of the generated service efficiency metric value to the target value, is generated.