103results about "Web data retrieval" patented technology

A method and system for providing web resources having long identifiers through a zero trust network environment. The method comprises receiving a request from a client device to access a web resource through a zero trust network environment, wherein the web resource is external to the zero trust network environment, the request including a first uniform resource locator (URL), and the resource further including a second URL having a first length; fetching the web resource based on the first URL; generating a shortened alternate URL based on at least a portion of the second URL, in response to determining that the first length exceeds a predetermined threshold; generating an alternate resource, the alternate resource including the shortened alternate URL replacing the second URL; and providing the alternate resource to the client device.

Methods for product recommendation are provided. This includes collecting personal user data including profession, gender, size, preferences, user's apparel size, user's address, who the user's friend are, user's friends' information, users' medical records including eyeglass and contact lens prescription information; collecting vendor data including product size, product description, product location, price; and recommending vendor products that best match the users' personal data.

The described technology relates to integrating events electronically scheduled in enterprise web applications and other event applications. A capability is provided for events created by an enterprise web application and events from other external event streams to be presented in a consolidated calendar in the enterprise web application. Capabilities are also provided for sharing the calendar among enterprise users and non-enterprise users, and for efficiently generating the shared calendar.

A method and system for securing an anonymous discovery service may include receiving a request from a client device, the request being directed to an anonymous Autodiscover service, identifying a source from which the request originated from within the client device, and responsive to the source being of a first type of sources, transmitting a first response to the client and responsive to the source being of a second type of sources transmitting a second response to the client. The first response does not return a Uniform Resource Locator (URL) to a service endpoint, the second response returns a URL to a service endpoint. Furthermore, the anonymous discovery service may be a discovery service that requires no authentication.

According to embodiments of the present disclosure, methods, apparatuses, devices and storage media for information interaction are provided. The method comprises: in response to detecting that a digital assistant is triggered for an interaction event based on a first webpage; providing a first link of the first webpage or content in the first webpage to a webpage plug-in, the webpage plug-in being configured to perform a webpage processing task; and in an interaction window of a user and the digital assistant, utilizing the webpage plug-in to perform the interaction of the user and the digital assistant based on the content in the first webpage. In this way, the webpage plug-in can be utilized, so that the digital assistant can obtain content in a third-party webpage and perform interaction based on the content, which not only expands the application scenarios of the digital assistant, but also helps to reduce the difficulty and complexity of the interaction between the user and the digital assistant, and improves the efficiency of the interaction.

Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

This invention discloses a new source evaluation method for internet technology information, belonging to the field of new source evaluation technology. To address the problems in existing technologies, such as users struggling to quickly find valuable information from a large volume of technology news, significant differences in information quality between different sources, and the lack of an effective source evaluation system, which prevents users from filtering information based on source reputation, this new source evaluation method for internet technology information effectively improves information acquisition and processing efficiency, ensures content quality and credibility, enhances readability and usability through sentiment analysis, topic classification, and relevance calculation, supports users in making informed decisions, promotes a virtuous cycle in the information ecosystem through multi-dimensional considerations in the evaluation system, and dynamically optimizes source evaluation through a user feedback mechanism, enabling personalized content recommendations, meeting user needs, and improving satisfaction.

Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts / protocols; real-time progress bar; multi-location database capabilities; and reports.

In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and / or skip events. Accidental click probabilities associated with the accidental click events and / or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and / or third labels associated with the accidental click events and / or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

A method for providing one or more customized experience to a user profile associated with an application is disclosed. The method comprises querying a key-value pair store for retrieving a key-value pair associated with the user profile. The retrieved key-value pair is loaded into a first memory. Further, one or more segment definitions for the one or more segments are received from a second memory. The one or more segment definitions are based on at least one of the user profile, user behaviour, user transaction on the application, user interaction with the application, and user subscription. Further, the one or more segment definitions and the one or more user events are evaluated in the first memory. The customized experience is provided to the user profile within sub-second latency and the customized experience is updated based on change in the one or more user events associated with the user profile.

A cognitive platform (CP) system (102) is described The CP system (102) is configured to receive cell plan data from a web service store the cell plan data in one or more CP database servers (114) and transmit the cell plan data to an unstructured data storage function (UDSF) system (104). The UDSF system (104) is configured to process the cell plan data, store the processed cell plan data in one or more UDSF database servers (120), and transmit the processed cell plan data to a self-organizing network (SON) system (106). The SON system (106) is configured to automatically execute one of cell management function based on the processed cell plan data, while maintaining a continuous feedback loop with the CP system (102) and the UDSF system (104). The SON system (106) performs at least one of updates and adjustments to network parameters.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating graphic design layouts using a machine learning model to modify a layout according to content conditions. For example, the disclosed systems receive, from a client device, one or more content conditions defining parameters for generating design layouts. In some embodiments, the disclosed systems generate a set of fused features from the one or more content conditions. In certain embodiments, the disclosed systems encode, utilizing a machine learning, a content-conditioned layout embedding from the set of fused features. In some embodiments, the disclosed systems generate, from the content-conditioned layout embedding utilizing the machine learning model, a design layout comprising layout parameters defined by the one or more content conditions.

The application relates to the field of Fintech, and discloses a rule analysis method and a rule analyzer. The rule analyzer extracts variables from a webpage request received in front end based on user triggering. If the rule analyzer determines that a first to-be-verified variable is extracted, the rule analyzer matches a target rule with the same name as the first to-be-verified variable from a rule library, and obtains first to-be-verified data of the first to-be-verified variable in the webpage request. The rule library is obtained by configuring each to-be-verified variable set, and the rule library includes multiple rules. Any rule includes a to-be-verified variable and a compliance syntax specification for defining a variable value of the to-be-verified variable. The rule analyzer verifies the first to-be-verified data based on the target rule. The scheme can verify the compliance of various types of data entering various business systems without writing rules in a declarative manner in business code.

The disclosure describes a method of generating a target profile including the target's sequence of events (SOE) for a task. Such target profile sequence of events is derived from several source group's transactions, where any source group's transactions cannot be shared with other source groups but the derived target group's profile is the only information that is shared. Source-side information is periodically extracted for a plurality of sources that each interact with a plurality of targets. The information includes source stages, resources, and stage transition events for a task with a target. Source information is used to generate a set of normalized stages, and a set of normalized events for transitioning between the stages of the set of normalized stages. An artificial intelligence (AI) model is trained using the source information. The AI model can generate a target profile with target process information inferred using the trained model. The target process information can include the target's identifiers for each stage, an estimated duration of the stage, deliverables for the stage, and one or more stage transition events for the stage.

A method and system for securing an anonymous discovery service may include receiving a request from a client device, the request being directed to an anonymous Autodiscover service, identifying a source from which the request originated from within the client device, and responsive to the source being of a first type of sources, transmitting a first response to the client and responsive to the source being of a second type of sources transmitting a second response to the client. The first response does not return a Uniform Resource Locator (URL) to a service endpoint, the second response returns a URL to a service endpoint. Furthermore, the anonymous discovery service may be a discovery service that requires no authentication.

To provide a touch event model programming interface.SOLUTION: One or more touch input signals can be obtained from a touch sensitive device. A touch event model can be used to determine touch and / or gesture events on the basis of the touch input signals. The touch and gesture events can be associated with touch input signals generated from different regions of a web page displayed on the touch sensitive device. Access can be provided to at least one touch or gesture event through a programming interface.SELECTED DRAWING: Figure 3

Methods and systems for curating notifications from unfollowed accounts are described herein. The system tracks that a first account previously followed a second account and subsequently unfollowed the second account. The system identifies an interest of the first account and monitors the activities of the second account for activity that matches the interest. If there is a match between the interest and an activity of the second account, the system notifies the first account of the activity. These methods and systems provide the user with relevant information from unfollowed accounts.

The invention provides a Word document generation method and system, electronic equipment and a storage medium. The method comprises the following steps: displaying a Web page containing a text editing area; obtaining input content and format requirements in the text editing area; judging whether the input content contains a structure identifier or not; if not, calling a semantic recognition model to perform structured analysis on the input content; if yes, performing hierarchical structure analysis on the input content according to a regularization rule and / or calling a semantic recognition model to perform structured analysis on the input content; and adjusting the input content according to the analysis result and the format requirement, and generating a Word document. Word document generation does not depend on a template, a fixed template does not need to be designed in advance, a text of a fixed structure does not need to be provided according to the template, a user can obtain the standard Word document by submitting the text of the free format through the Web page, operation is convenient and fast, universality is high, and flexibility is high.

Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

Multimodal communication system for everyday use, consisting of - a physical access unit in the form of a QR code, an NFC tag or an RFID transponder, - a digital communication area uniquely assigned to the physical access unit, characterized by that a PÜ4 authentication unit is assigned to the digital communication area and that the digital communication area is accessible exclusively via this PIN authentication unit, wherein the physical access unit is connected to an access trigger unit which enables PIN-protected access to the digital communication area.

Various Data Subject Access Request (DSAR) processing systems are adapted for presenting a first webform on a first web site, the first webform being adapted to receive DSAR's and to route the requests to a first designated individual for processing; presenting a second webform on a second web site, the second webform being adapted to receive DSAR's and to route the requests to a second designated individual for processing; receiving, via the first webform, a first DSAR; at least partially in response to the receiving the first DSAR, automatically routing the first DSAR to the first designated individual for handling; receiving, via the second webform, a second DSAR; at least partially in response to the receiving the second DSAR, automatically routing the second DSAR to the second designated individual for handling; and communicating a status of both the first DSAR and the second DSAR via a single user interface.

We provide the system. [Solution] Means of inputting information, Means for transmitting information, A means of searching the database, Methods for obtaining search results, A system that includes means for displaying search results.

A method for providing a link and associated preview of content on a workspace includes causing on a first page of the workspace display of a link to a second page of the workspace. The link can be embedded as an in-page object on the first page, and the second page can embed multiple blocks as in-page objects. The method can include regenerating a textual summary of the second page by using a generative artificial intelligence (AI) system and storing the textual summary as a summary property. In response to an input, the method can include determining that the second page includes the summary property. The method can include causing display of a preview of the second page while displaying the link on the first page. The preview can include the textual summary of the second page that was generated using the generative AI system.

The invention relates to a method and a computer-implemented method for splitting text accurately into semantically correctly separated parts in an infrastructure or hardware for artificial intelligence, the splitting of the text being performed by a trained large language model on one or more graphics processors or graphics processor servers understanding natural language understanding and the processing of the natural language by stored rules being used for improving the splitting of the individual text parts and the individual text parts being transmitted in a machine-readable format to a management program for storing and / or displaying the split text parts and / or the relationship to the assigned text source. Here, the steps of high computing power are optimally distributed between different hardware components or servers in order to be able to guarantee fast processing.

A method for providing one or more customized experience to a user profile associated with an application is disclosed. The method comprises querying a key-value pair store for retrieving a key-value pair associated with the user profile. The retrieved key-value pair is loaded into a first memory. Further, one or more segment definitions for the one or more segments are received from a second memory. The one or more segment definitions are based on at least one of the user profile, user behaviour, user transaction on the application, user interaction with the application, and user subscription. Further, the one or more segment definitions and the one or more user events are evaluated in the first memory. The customized experience is provided to the user profile within sub-second latency and the customized experience is updated based on change in the one or more user events associated with the user profile.

In one embodiment, a device obtains browser waterfall data from a web browser of a client that is used to access an online application via a network. The device obtains user feedback from the client indicative of whether a user of the client is satisfied with their experience with the online application. The device trains, using the browser waterfall data and user feedback as training data, a prediction model to predict a quality of experience metric for the online application. The device causes an adjustment to the network based on a prediction by the prediction model.

The invention discloses an intelligent data system based on a cloud platform and a data medium station, and relates to the technical field of information. Comprising a cloud platform, a data source, data aggregation, data governance, data organization, data application, data security and data mining and innovation. The system aims at achieving comprehensive collection, efficient storage, intelligent analysis, flexible management and safe application of data through highly integrated data processing and analysis capacity, and providing accurate data support for various decisions.

Systems and methods for generating single-node representations in graphs composed of linked nodes. The present technology enables dynamic generation of individual node embeddings in sub-linear time (less than O(n), where n is the number of nodes in the graph G), using only the PPR vectors of the individual nodes and a random projection to reduce the dimensionality of the PPR vectors of that node. In one example, the present technology includes a computer-implemented method comprising: obtaining, from a database, a graph having a plurality of nodes; generating, for a given node of the plurality of nodes, a personal PageRank vector; and producing, for the given node, an embedding vector by randomly projecting the personal PageRank vector, wherein the embedding vector has a lower dimensionality than the personal PageRank vector.