Abstract: A system and method utilizing a mass user gaze fixation behavior with respect to products and product racks (using a camera-based inputs and gaze-tracking algorithms) and a financial profitability of each product/product type; generates gaze-based heat maps for indicating blind spots and eye gaze points at different positions of the racks/shelves and indicating product placement positions on the heat map; and advises product placement in the retail store for optimizing financial profitability by performing an iterative refinement of product placements over a period for the product/similar products. The system translates mass eye gaze of retail store customers into financial profitability via product placement optimization, and iteratively runs a method to optimize product placements, and generate gaze-based heat maps and perform blind spot analysis for avoiding product placements at certain locations and placing products at other locations, e.g., by running a decision module on consumer gaze pattern data.

Abstract: A humanness validation method, system, and computer program product, include generating a sequence of actions including gaze actions and emotional state actions, instructing an access requestor to perform the actions in the sequence one-by-one, and granting access to the access requestor if a total error rate of each of the performed one-by-one actions in the sequence of actions is less than a predefined threshold value.

Abstract: Techniques are provided for creating presentation notes based upon gaze tracking information associated with observers of a presentation. In one example, a computer-implemented method comprises: obtaining, by a system operatively coupled to a processor, gaze information associated with observers of a presentation; determining, by the system, respective content clarity scores for content elements of the presentation based on a content clarity function; selecting, by the system, respective content from one or more content sources for the content elements based on the respective content clarity scores; and generating, by the system, presentation notes based on the presentation and the selected respective content for the content elements of the presentation.

Abstract: A resume rearrangement method, system, and computer program product, includes linking content segments of a resume including key terms with each other based on a pairwise similarity score between the key terms of the content segments, identifying an interest segment within the resume that draws interest from a current reader, and displaying a summary for the current reader including the interest segment that has drawn the interest of the current reader and a reference to at least one other segment that is linked with the interest segment.

Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.

Abstract: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: Techniques are provided for creating presentation notes based upon gaze tracking information associated with observers of a presentation. In one example, a computer-implemented method comprises: obtaining, by a system operatively coupled to a processor, gaze information associated with observers of a presentation; determining, by the system, respective content clarity scores for content elements of the presentation based on a content clarity function; selecting, by the system, respective content from one or more content sources for the content elements based on the respective content clarity scores; and generating, by the system, presentation notes based on the presentation and the selected respective content for the content elements of the presentation.

Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.

Abstract: A fixed-wing aircraft advertisement method, system, and non-transitory computer readable medium for a fixed-wing aircraft, include a user observing circuit configured to observe a plurality of users to identify a speaking user, a word identifying circuit configured to identify a keyword profile from words of the speech of the speaking user, and an advertisement selecting and delivering circuit configured to select an advertisement to deliver via the fixed-wing aircraft based on the advertisement being associated with the keyword profile.

Abstract: A video personalizing method, system, and non-transitory computer readable medium receiving user information for a viewer watching a first video, includes a video selection device configured to select a second video out of a plurality of videos stored in a video storing unit in order to increase a satisfaction of the viewer based on the user information collected while the viewer is watching the first video, where the satisfaction to the second video is observed and the selection by the video selection device is modified if a level of the satisfaction of the viewer towards the second video is less than a predetermined threshold value.

Abstract: An approach is provided that detect a section of a document that is currently being read by a user on a display device as well as the user's current emotional state. In response to determining, based on the detected current emotional state, that reading assistance would be helpful to the user, the approach identifies terminology within the section of the document that is currently being read by the user, retrieves assistive texts related to the identified terminology, and provides the assistive texts to the user at the display screen.

Abstract: An example operation may include one or more of obtaining data of a simulation, identifying checkpoints within the simulation data, generating a plurality of sequential data structures based on the identified checkpoints, where each data structure identifies an evolving state of the simulation with respect to a previous data structure among the sequential data structures, and transmitting the generated sequential data structures to nodes of a blockchain network for inclusion in one or more data blocks within a hash-linked chain of data blocks.

Abstract: An example operation may include one or more of generating a data frame storing content of a simulation, compressing the simulation content within the data frame based on previous simulation content stored in another data frame to generate a compressed data frame, and transmitting the compressed data frame via a blockchain request to one or more endorsing peer nodes of a blockchain network for inclusion of the compressed data frame within a hash-linked chain of blocks of the blockchain network.

Abstract: An example operation may include one or more of generating a plurality of successive data points of an iterative simulation based on predefined checkpoints, each data point identifying an evolving state of the iterative simulation with respect to a previous data point among the successive data points, transmitting a blockchain request for validating state data within a first data point among the plurality of successive data points to a first subset of endorsing nodes of a blockchain network, and transmitting a blockchain request for validating state data within a second data point among the plurality of successive data points to a second subset of endorsing nodes which are mutually exclusive from the first subset of endorsing nodes of the blockchain network for parallel endorsement of the first and second data points.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification and information retrieval. One example method of operation may include identifying a number of data parameters to extract from a blockchain based on a request for analytic data, creating one or more queries based on the data parameters, executing the one or more queries and retrieving the data parameters from the blockchain, identifying one or more permissions of a user account associated with the request for analytic data, and populating an interface with analytic figures based on the data parameters retrieved from the blockchain.

Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.

Abstract: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: A gaze tracking system, method, and computer product for tracking an eye gaze on a screen of a device including a single monocular camera, the system including measuring a rotation of a hinged plane of a display screen with respect to the eye gaze, combining the rotation with a three-dimensional movement of the camera, a position of the camera being constant with respect to the display screen, and estimating a point of gaze localization on the display screen using the single monocular camera as the input, in absence of a sensor, and without performing a display screen calibration.

Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.