Abstract: Disclosed is a system and method for managing user interactions with a client device. The method comprises receiving from a telecommunication network, connected to the client device, a session request; processing the session request to determine relay information for routing the session request; transmitting the session request to a trained virtual agent based on the relay information, wherein the trained virtual agent is configured to process the session request to generate a command signal; and transmitting the command signal, via a private exchange mechanism, to the client device to establish the session for user interaction, wherein the data transmission between the client device and the trained virtual agent is based on a predefined protocol.

Abstract: Methods and system for text conversion are described. In one embodiment, free-form text associated with an item may be received. The item may be identified based on the free-form text. The item may be compatible with a parent item. The parent item may be identified based on the free-form text. An item descriptor may be identified in the free-form text. The item descriptor may be a particular term of the free-form text. Compatibility-based text may be constructed for the item based on identification of the parent item and the item descriptor. The compatibility-based text may be capable of being used to identify a plurality of matching items. Additional methods and systems are disclosed.

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

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

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

Abstract: This disclosure relates to improved techniques for generating images from raw image sensor data captured in low-light conditions without the use of flash photography. The techniques described herein utilize a neural network architecture to transform the raw image sensor data into well-exposed images. The neural network architecture can be trained using a multi-criterion loss function that jointly models both pixel-level and feature-level properties of the images. The images output by the neural network architecture can be provided to a contrast correction module that enhances the contrast of the images.

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

Abstract: This disclosure relates to improved techniques for generating images from raw image sensor data captured in low-light conditions without the use of flash photography. The techniques described herein utilize a neural network architecture to transform the raw image sensor data into well-exposed images. The neural network architecture can be trained using a multi-criterion loss function that jointly models both pixel-level and feature-level properties of the images. The images output by the neural network architecture can be provided to a contrast correction module that enhances the contrast of the images.

Abstract: There is provided a method and system to communicate information. The system receives a first query that contains a first constraint and retrieves a first plurality of data items from a database based on the first query. Next, the system generates a first distribution based on the first plurality of data items, the first distribution utilizing a first plurality of domains that are used to identify data items. Next the system generates a second distribution based on a plurality of requests to view a second plurality of data items. Next the system generates a third distribution based on the first distribution and the second distribution. Finally, the system generates distribution data to be included within an interface, the interface to include at least one interface element that is positioned on the interface based on the third distribution, the at least one interface element to respectively represent at least one domain.

Abstract: Machine learning systems and methods for embedding attributed sequence data. The attributed sequence data includes an attribute data part having a fixed number of attribute data elements and a sequence data part having a variable number of sequence data elements. An attribute network module includes a feedforward neural network configured to convert the attribute data part to an encoded attribute vector having a first number of attribute features. A sequence network module includes a recurrent neural network configured to convert the sequence data part to an encoded sequence vector having a second number of sequence features. In use, the machine learning system learns and outputs a fixed-length feature representation of input attributed sequence data which encodes dependencies between different attribute data elements, dependencies between different sequence data elements, and dependencies between attribute data elements and sequence data elements within the attributed sequence data.

Abstract: Systems and methods to communicate information are described. The system receives a query and retrieves a set of data items from a database based on the query. The system generates a distribution based on a count of data items from the set of data items that were retrieved for each domain in a set of domains and a count of requests to view data items from another set of data items for each domain in the set of domains. The system identifies whether the distribution exhibits a type of a distribution by comparing the distribution with at least one of a peak distribution and a hills distribution. Finally, the system generates interface information based on the type of distribution.

Abstract: Methods and system for text conversion are described. In one embodiment, free-form text associated with an item may be received. The item may be identified based on the free-form text. The item may be compatible with a parent item. The parent item may be identified based on the free-form text. An item descriptor may be identified in the free-form text. The item descriptor may be a particular term of the free-form text. Compatibility-based text may be constructed for the item based on identification of the parent item and the item descriptor. The compatibility-based text may be capable of being used to identify a plurality of matching items. Additional methods and systems are disclosed.

Abstract: Methods and system for text conversion are described. In one embodiment, free-form text associated with an item may be received. The item may be identified based on the free-form text. The item may be compatible with a parent item. The parent item may be identified based on the free-form text. An item descriptor may be identified in the free-form text. The item descriptor may be a particular term of the free-form text. Compatibility-based text may be constructed for the item based on identification of the parent item and the item descriptor. The compatibility-based text may be capable of being used to identify a plurality of matching items. Additional methods and systems are disclosed.

Abstract: Methods and systems to facilitate a search of an information resource is disclosed. In various embodiments, a distribution of a plurality of data items across a plurality of attribute value ranges corresponding to an attribute is identified. The attribute may be shared by at least two of the plurality of data items. Based on a determining that the distribution of the plurality of data items across the plurality of attribute value ranges includes at least two peaks, the distribution of the plurality of data items across the plurality of attribute value ranges corresponding to the attribute is communicated.

Abstract: A computer apparatus is remotely initiated. Confirmation of a detected and authenticated presence of a user remote from the computer apparatus is detected and confirmed via a wireless network. Booting of the computer apparatus is initiated based on receiving confirmation of the detected and authenticated presence of the user remote from the computer apparatus. The computer apparatus is booted in a protected workstate that prevents access to the computer apparatus while the user is remote and until a local presence of the user is detected and authenticated. The computer apparatus is operable to be unprotected upon confirmation of the local presence of the user. The computer apparatus is also operable to be accessible to the user upon unprotecting the workstate of the computer apparatus.

Abstract: There are provided methods and systems to identify an item based on data associated with the item. Information is received that is descriptive of an item to be listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect. An expression of an interest of a user in the item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified.

Abstract: An access control system provides authentication and notification. A visitor to a facility, for example, authenticates to the access control system. Once an identity of the visitor is confirmed, the access control system sends a notification to a host, such as an employee. The notification informs the host of the arrival of the visitor.

Abstract: There are provided methods and systems to identify an item based on data associated with the item. Information is received that is descriptive of an item to be listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect. An expression of an interest of a user in the item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified.

Abstract: Methods and system for text conversion are described. In one embodiment, free-form text associated with an item may be received. The item may be identified based on the free-form text. The item may be compatible with a parent item. The parent item may be identified based on the free-form text. An item descriptor may be identified in the free-form text. The item descriptor may be a particular term of the free-form text. Compatibility-based text may be constructed for the item based on identification of the parent item and the item descriptor. The compatibility-based text may be capable of being used to identify a plurality of matching items. Additional methods and systems are disclosed.

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