14 results about "Clickstream" patented technology

1. Name of the designed product: main body of medical information graphical user interface for electronic device. 2. Use of the designed product: for electronic device. 3. Design points of the designed product: the interface content of the solid line part in the graphical user interface. 4. Picture or photo best indicating the design points: design 1 front view. 5. No design points, omit other views of the design. 6. Design 1 is designated as the basic design. 7. Other circumstances needing explanation: use of the graphical user interface: for displaying medical information, for example. 8. Human-computer interaction mode of the graphical user interface: the user clicks the parameter label in the interface of the front view of each design, for example, clicks "Flow", "Leak" or "Pressure", to select the data of the parameter of interest to be displayed. 9. The part shown by the dotted line in each view is not within the protection.

1. The name of the design product: electronic device with flow visualization of aerodynamic characteristics calculation graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. Omitted views: the electronic device is a common design, and other views are omitted. 6. The use of the graphical user interface: to help users evaluate, optimize, and understand the aerodynamic characteristics of components through flow visualization technology. 7. The human-computer interaction mode of the graphical user interface: click "movable component" in the view, import the model, and enter interface change state diagram 1; in interface change state diagram 1, click the "flow visualization" button, and enter interface change state diagram 2. 8. Other circumstances that need to be explained: "X" in the interface represents replaceable text, numbers, letters, or symbols.

One example method includes detecting an operation of an input device, obtaining a clickstream associated with a user, using information from the clickstream, generating a prediction as to a next action by the user using the input device, and presenting the prediction to the user for possible selection by the user. Selection of the prediction by the user eliminates the need for the user to perform input device manipulations that would otherwise be required if the prediction were not selected.

A system and method for dynamic script generation for automated filing services is provided. In embodiments, a method includes: initiating a clickstream recording of an electronic document filing interface of a remote platform based on a triggering event; generating a clickstream recording of the electronic document filing interface, wherein the clickstream recording comprising a recording of a navigation of the electronic document filing interface through multiple steps of a document filing process, wherein the clickstream recording is in the form of scripts associated with each of the multiple steps of the document filing process; and generating automated filing instructions for the electronic document filing interface using the clickstream recording, the automated filing instructions enabling computer automated submission of one or more documents to the remote platform via the electronic document filing interface.

Groups of patrons may be discovered by measuring website and mobile site patron clickstream data in a mathematical and unsupervised way over a predetermined time and by graphically clustering the patron clickstream data using non-linear dimensionality reduction in the form of a Uniform Manifold Approximation and Projection algorithm (UMAP). The data from the UMAP may then be feed into a Density Based Spatial Clustering of Applications with Noise algorithm (DBSCAN) in order to identify a center of each cluster. Next, using the data from the UMAP and the center of each cluster from the DBSCAN, a K-Nearest Neighbor algorithm (KNN) may be applied to identify data points closest to the center of each cluster and to shade each of the data points to graphically identify each cluster of the plurality of clusters. Next, illustrate a graph on the display representative of the data points shaded following application of the KNN.

Systems and methods for measuring impact of online search queries on user actions. The method includes capturing clickstream data entered via a website, the clickstream data including text-based queries associated with web searches, and clustering the queries to generate query clusters. The method also includes assigning each query cluster to an intent such that each assigned intent estimates a desired action behind the queries in the corresponding query cluster. The method further includes mapping each intent assigned to a query cluster to at least one action motivated by the intent. The method also includes computing metrics using the mapping to quantitatively measure the impact of the queries on the mapped actions by tracking performance of the actions within a predefined time period after the queries.

The invention discloses a multi-scene linkage data asset intelligent management method and device, and relates to the technical field of data processing, and the method comprises the steps: carrying out the format conversion of real-time heterogeneous data streams collected by a preset business system, a preset Internet of Things device and an external API interface based on a sliding time window, and obtaining data asset information; transaction link tracking is carried out on the data asset information based on the tracking identifier, a cross-scene data relation network is constructed based on a target transaction link, and a target asset map is obtained; on the basis of a target asset map, online click stream data and offline passenger flow data are fused to determine a personalized management strategy, asset management is completed, and compared with a current data asset management method, a large amount of data resources are lack of effective utilization, data assets in multiple scenes cannot be effectively linked, and the asset management efficiency is improved. According to the method, more flexible strategy customization is realized, asset management is completed according to the personalized management strategy, data assets in multiple scenes are effectively linked, and the effectiveness of data management is improved.

Methods and systems are described herein for generating embeddings representing real-time interactions of a user device with a server to be used by a downstream model. For example, the downstream model may be trained to select and provide data to a user of the user device based on the embedding. In some embodiments, an artificial intelligence model may be trained using self-supervised learning to reconstruct real-time interactions of the user during a current user session. The artificial intelligence model, for example, an auto-encoder, may be trained using reference real-time interactions of the user to generate embeddings that can be mapped to predicted reconstructions of the real-time interactions. The artificial intelligence model can be trained by minimizing a loss computed from the reference real-time interactions and the reconstructions of the real-time interactions.

1. The name of the design product: mode selection operation graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: mode selection and parameter setting operation interface. 6. The change state description of the graphical user interface: the front view is the home page of the graphical user interface, clicking "mode setting" jumps to interface change state figure 1, clicking "flow rate mode" button in interface change state figure 1 can jump to interface change state figure 2; clicking the corresponding numbers of "flow rate" or "preset" jumps to interface change state figure 3 for setting, and after completion, clicking "confirm" enters interface change state figure 4. 7. Other circumstances that need to be explained: the text and / or numerical content shown in the front view and each interface change state figure are only for reference and can be replaced, which do not constitute a limitation on the protection scope of the design.

1. Name of the designed product: main body of medical information graphical user interface for electronic device. 2. Use of the designed product: for electronic device. 3. Design points of the designed product: the interface content of the solid line part in the graphical user interface. 4. Picture or photo best indicating the design points: design 1 front view. 5. No design points, omit other views of the design. 6. Design 1 is designated as the basic design. 7. Other circumstances needing explanation: use of the graphical user interface: for displaying medical information, for example. 8. Human-computer interaction mode of the graphical user interface: the user clicks the parameter label in the interface of the front view of each design, for example, clicks "Flow", "Leak" or "Pressure", to select the data of the parameter of interest to be displayed. 9. The part shown by the dotted line in each view is not within the protection.

1. Name of the designed product: main body of medical information graphical user interface for electronic device. 2. Use of the designed product: for electronic device. 3. Design points of the designed product: the interface content of the solid line part in the graphical user interface. 4. Picture or photo best indicating the design points: design 1 front view. 5. No design points, omit other views of the design. 6. Design 1 is designated as the basic design. 7. Other circumstances needing to be explained: the graphical user interface is used to display medical information, for example. 8. Human-computer interaction mode of the graphical user interface: the user clicks the time label in the interface of the front view of each design, for example, clicks "7 days", "30 days" or "Custom", to select the data of the date of interest to be displayed; and the user clicks the parameter label in the interface of the front view of each design, for example, clicks "Flow", "Leak" or "Pressure", to select the data of the parameter of interest to be displayed. 9. The part shown by the dotted line in each view is not within the protection.

A method for associating a device with a user including the action of receiving from a first computerized device operated by a first user a first data content including a plurality of first data items, including clickstream data. An action of setting rules for computing scores representing similarity between a first data item received from the first computerized device and a second data item received from a second computerized device. An action of collecting the plurality of the first data items and the second data items, from the plurality of computerized devices of the plurality of computerized devices. An action of computing the score representing similarity between at least one pair of computerized devices respectively providing the first and the second data items. And an action of determining that the pair of computerized devices are operated by a same user if the score reaches a predetermine value.

The invention relates to the technical field of artificial intelligence and man-machine interaction, and discloses a multi-modal index interpretability enhancement method and system. The method comprises the following steps: acquiring a voice instruction, a DOM (Document Object Model) structure snapshot and front-end burying point data of a user in a Web system operation process; executing cross-modal attention fusion by adopting a modal guide residual error alignment mechanism; constructing an explaining causal chain graph and carrying out deviation detection; semantic perturbation mapping and structured repair generation are executed; and outputting the multi-modal interpretation content set. Compared with the prior art, the technical problem that cross-modal causal chain construction and structured code repair suggestions cannot be realized in abnormal scenes of single-modal indexes, especially multi-modal user behavior data including click streams, form filling and voice command driving is solved. Due to the fact that the modal guide residual error alignment mechanism is introduced, the interpretation reachability and the code repair performability of the model prediction result in the Web system are improved.

1. The name of the design product: the graphical user interface of the target association analysis interaction of the electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the product interface of design 1-design 7 is the interface for target correlation analysis display and interaction; the interface displays the target hierarchy and correlation through the organization target correlation analysis graph, completes detailed target collaborative analysis, and promotes enterprise strategy collaboration and landing; the main view interface of design 1 is the interactive interface of the target correlation analysis entrance; in the main view interface of design 1, click the target correlation analysis to enter the target data list under the corresponding organizational structure, and display design 1 interface change state diagram 1; in the design 1 interface change state diagram 1 interface, click "funds completion rate", and display design 1 interface change state diagram 2; in the design 1 interface change state diagram 2 interface, click "customer orientation" to switch, and display design 1 interface change state diagram 3; the main view interface of design 2 is the interactive interface of the target correlation analysis entrance; in the main view interface of design 2, click the target correlation analysis to enter the target data list under the corresponding organizational structure, and display design 2 interface change state diagram 1; in the design 2 interface change state diagram 1 interface, click "funds completion rate", and display design 2 interface change state diagram 2; in the design 2 interface change state diagram 2 interface, click the first organization target analysis icon from left to right in the upper right corner of the funds completion rate pop-up window, and display design 2 interface change state diagram 3; in the design 2 interface change state diagram 3 interface, click the first full-screen icon from right to left in the upper right corner of the funds completion rate pop-up window, and display design 2 interface change state diagram 4; the main view interface of design 3 is the interactive interface of the target correlation analysis entrance; in the main view interface of design 3, click the target correlation analysis to enter the target data list under the corresponding organizational structure, and display design 3 interface change state diagram 1; in the design 3 interface change state diagram 1 interface, click "funds completion rate", and display design 3 interface change state diagram 2; in the design 3 interface change state diagram 2 interface, touch the third add other cross-organizational structure icon from left to right in the upper right corner of the funds completion rate pop-up window, and display design 3 interface change state diagram 3; in the design 3 interface change state diagram 3 interface, click the icon, and display design 3 interface change state diagram 4; in the design 3 interface change state diagram 4 interface, check the added organizational structure and click the confirm button, and display design 3 interface change state diagram 5; in the design 3 interface change state diagram 5 interface, slide the middle interface to the bottom of the interface to the left, and display design 3 interface change state diagram 6-7; the main view interface of design 4 is the interactive interface of the target correlation analysis entrance; in the main view interface of design 4, click the target correlation analysis to enter the target data list under the corresponding organizational structure, and display design 4 interface change state diagram 1; in the design 4 interface change state diagram 1 interface, click "switch" in the upper left corner of the interface, and display design 4 interface change state diagram 2; in the design 4 interface change state diagram 2 interface, touch and click the administrative organization, and display design 4 interface change state diagram 3-4; in the design 4 interface change state diagram 4 interface, click "funds completion rate", and display design 4 interface change state diagram 5;The design 5 main view interface is an interactive interface of a target correlation analysis entrance; in the design 5 main view interface, a target correlation analysis is clicked to enter a target data list under a corresponding organizational structure, and a design 5 interface change state diagram 1 is displayed; in the design 5 interface change state diagram 1 interface, after a “switch” in the upper left corner of the interface is clicked, a design 5 interface change state diagram 2 is displayed; in the design 5 interface change state diagram 2 interface, after an administrative organization is touched and clicked, a design 5 interface change state diagram 3-4 is displayed; in the design 5 interface change state diagram 4 interface, after a switch to a “second audit committee” is clicked, a design 5 interface change state diagram 5 is displayed; in the design 5 interface change state diagram 5 interface, after “process optimization” is clicked, a design 5 interface change state diagram 6 is displayed; the design 6 main view interface is an interactive interface of a target correlation analysis entrance; in the design 6 main view interface, a target correlation analysis is clicked to enter a target data list under a corresponding organizational structure, and a design 6 interface change state diagram 1 is displayed; in the design 6 interface change state diagram 1 interface, after a “switch” in the upper left corner of the interface is clicked, a design 6 interface change state diagram 2 is displayed; in the design 6 interface change state diagram 2 interface, after an AI project group is touched and clicked, a design 6 interface change state diagram 3-4 is displayed; in the design 6 interface change state diagram 4 interface, after “funds completion rate” is clicked, a design 6 interface change state diagram 5 is displayed; the design 7 main view interface is an interactive interface of a target correlation analysis entrance; in the design 7 main view interface, a target correlation analysis is clicked to enter a target data list under a corresponding organizational structure, and a design 7 interface change state diagram 1 is displayed; in the design 7 interface change state diagram 1 interface, after a “switch” in the upper left corner of the interface is clicked, a design 7 interface change state diagram 2 is displayed; in the design 7 interface change state diagram 2 interface, after an administrative organization is touched and clicked, a design 7 interface change state diagram 3-4 is displayed; in the design 7 interface change state diagram 4 interface, after a switch to a “financial AI project group” is clicked, a design 7 interface change state diagram 5 is displayed; in the design 7 interface change state diagram 5 interface, after “communication ability” is clicked, a design 7 interface change state diagram 6 is displayed.