21results about "Web data retrieval" patented technology

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.

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 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.

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 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.

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.

A computer implementation method is disclosed for responding to a user travel search query, which may be a general travel search query, the computer implementation method comprising: (i) a backend for a frontend (BFF) sends the BFF travel search query to an integrated search service (USS), which initiates a search at the initial geographic type level within the geographic hierarchy; (ii) the USS selects a backend according to the geographic type level within the geographic hierarchy and according to the date scope; (iii) the USS invokes the selected backend in relation to the BFF travel search query and receives any set of search results and any updates to the BFF travel search query from the selected backend; (iv) The process includes: (v) including the steps of (ii) to (v) including including the received set of search results in the USS response set; (v) updating the BFF travel search query with any received updates to the BFF travel search query; (vi) repeating steps (ii) to (v) including reducing the depth of the searched geotype levels in the geographic hierarchy until there are no more backends being queried or until the geotype levels reach the target resolution of a specified geotype; (vii) applying a reduction algorithm to the USS response set using filtering criteria to produce a reduced USS response set; and (viii) the USS returning the reduced USS response set to the BFF.

A scenario priority determining method and apparatus are provided. The method includes: obtaining preset priorities of a plurality of scenario features (S201); obtaining evaluation information of a driving scenario, where the evaluation information of the driving scenario is used to describe priorities of the plurality of scenario features in the driving scenario (S202); and determining priorities of a plurality of driving scenarios based on the preset priorities of the plurality of scenario features and a plurality of pieces of evaluation information of the plurality of driving scenarios (S203). In this way, accuracy of an evaluated priority of the driving scenario can be improved.

This technology provides a way to improve user convenience when performing cross-platform searches. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, the processor configured to perform the following steps by reading a program: in the acquisition step, a search word entered by the user is acquired; in the display control step, a search results screen is displayed based on the search word; the search results screen includes a plurality of first areas that are visible to the user in an overview manner, and each of the plurality of first areas includes search results information showing the results of a search performed based on the search word on each of different first websites.

Provided is a process including: receiving inspection path information indicating a path for a robot to travel, and a plurality of locations along the path to inspect; determining, based on information received via a location sensor, that a distance between a location of the robot and a first location of the plurality of locations is greater than a threshold distance; in response, causing a refrigeration system of an optical gas imaging (OGI) camera to decrease cooling; moving along the path; in response to determining that the robot is at a first location of the plurality of locations, sending a second command to the sensor system, wherein the second command causes the refrigeration system of the OGI camera to increase cooling; causing the sensor system to record a first video with an OGI camera; and causing the sensor system to store the first video in memory.

This provides a real-time product recommendation system and a method for implementing it. [Solution] During implementation, real-time information from the internet is captured at regular intervals (periodically), analyzed by an artificial intelligence model to generate tags, which are then attached to related products. Simultaneously, the corresponding weight values ​​are assigned or updated to the tags. This provides immediacy when recommending products, automatically sorting products that best match consumers' real-time needs, accurately reflecting real-time information in product recommendations, and achieving the highest level of electronic marketing effectiveness.

A method of comprehensive passive email address collection and validation automation system using open-source intelligence comprise the following working steps; input collection and validation step, data processing step, email pattern estimation step, email validation step, data integration and output step.

Methods and systems for creating augmented reality digital landmarks and their participant online communities via photo mosaics are disclosed. The subject matter of the present disclosure relates to computerized systems, and more specifically to creating purpose-specific and precise location digital landmarks (two-dimensional (2D), three-dimensional (3D), or holographic) based on photo mosaic technology to be experienced via augmented / extended reality equipment, which enables and facilitates the formation of purpose-specific online communities among participating members. The invention aims to: create digital landmark objects and impactful virtual murals and art installations (two-dimensional (2D), three-dimensional (3D), or holographic) that elevate awareness of important causes and bring people together. Photo mosaics and social media platforms accessed through AR build purpose-specific digital fixed landmarks; harness the power of images to bring global citizens together around shared goals and values (create purpose-specific online communities). Launch crowdfunding campaigns and shared non-fungible token projects (NFTs) to provide wider exposure and funding for, for example, social good initiatives.

This electronic device comprises: a memory, which stores instructions and includes one or more storage media; a microphone; and at least one processor including a processing circuit, wherein, when executed individually or collectively by the at least one processor, the instructions can instruct the electronic device to: acquire an audio signal by using the microphone; identify, on the basis of an event for generating an image for the audio signal, a context indicated by the audio signal; identify an utterer of at least one voice signal included in the audio signal; identify at least one image including representation of the utterer from among images stored in the electronic device; generate a prompt including first information about the utterer and second information about the context; provide the prompt and the at least one image to a trained model; and acquire the image for the audio signal, generated by the trained model using the prompt and the at least one image.

A vector-based web search method and system are disclosed. In the vector-based web search method, a first device may generate, with respect to a plurality of web pages, a document embedding vector corresponding to the web pages on the basis of content of each of the web pages and insert the generated document embedding vector into a meta of the web pages, and a second device may receive a search word for web search as a query word, generate a query embedding vector corresponding to the received query word, calculate a similarity between the document embedding vector corresponding to each of the web pages and the query embedding vector, and extract, from among the plurality of web pages, at least one web page having the calculated similarity satisfying a predetermined reference value.

A computer server of an aircraft inflight entertainment system includes at least one network interface, at least one processor connected to communicate through the at least one network interface with VDUs, and at least one memory storing modules executable by the at least one processor. An entertainment module operates to distribute entertainment content through the at least one network interface for playout through the VDUs. A user announcement distribution module operates to distribute user announcements through the at least one network interface to the VDUs for playout as video on display devices and / or audio through audio interfaces. A scheduling module operates to selectively defer distribution of at least part of the user announcements through the at least one network interface to the VDUs based on at least one deferred announcement rule.

A web browser extension for annotating a web page in a web browser is described. The extension operates to create an annotation item box module in a side panel that contains separate annotation highlighted content that corresponds to and is the same as annotation highlighted content in the web page that was added by the user in the web browser. The separate annotation highlighted content in the side panel presents the annotation highlighted content to enable the user to view the annotation highlighted content without having to navigate to or view them on the web browser. The extension operates to automatically save the resource locator to the web page that is linked to the annotation in the side panel in an embedded link. The user can then visit the web page on which the annotation resides and share a selected trove and documents with others, maintaining the source citation.

Systems and methods utilize a Global Metadata Service (GMS) as a centralized authority for globally unique metadata, supported by Global Metadata Region Agents (GMRAs) within each region to enhance fault tolerance and minimize latency, while ensuring metadata uniqueness in geographically distributed systems. In embodiments, GMRAs maintain a read-only cache of metadata replicated from the GMS to enable local access for regional subsystems, thereby reducing network latency for read operations and ensuring availability during GMS outages. In the event of a permanent GMS failure, metadata may be reconstructed from GMRA's read-only copies. Independent upgrade paths for GMS, GMRAs, and subsystems prevent application programming interface incompatibilities and minimize downtime by removing the need for synchronized upgrades. Depending on deployment needs, GMS may coexist with regions for low latency or adopt a geographically distributed configuration for disaster recovery, with a co-located standby GMS to ensure high availability.

Historically, email sequences for sales and marketing must be generated manually, which is a time-intensive and labor-intensive process. Accordingly, disclosed embodiments use machine learning to automatedly generate personalized, relevant, and / or performant email sequences, at scale. In particular, an email sequence may be generated by, for each email message in an email sequence and for each content block in the email message, generate a prompt based on one or more parameter values, input the prompt to a generative language model to produce the content block, and add the content block to the email message. In an embodiment, a user may easily regenerate the entire email sequence or regenerate individual content blocks within the email sequence.