Abstract: Disclosed herein, method and system for generating subject lines for emails. The method may include inputting a subject line generation prompt to an LLM. The subject line generation prompt includes a sample subject line for an email, a target customer segment, and instructions for alternative subject line generation. The method may further include generating a set of alternative subject lines in response to the subject line generation prompt. For each subject line of the set of generated alternative subject lines, the method may further include determining a score corresponding to the subject line, calculating a customer segment weighted IV corresponding to the evaluation parameter, determining a weighted quality score using the calculated customer segment weighted IV and the score for each of a set of evaluation parameters. The method may further include selecting an optimal subject line from the set of alternative subject lines based on the weighted quality score.

Abstract: A computer implemented method including determining an expected click-through-rate (CTR) of a query-item pair with a first machine learning model by using content-based features. The computer implemented method can also include, determining a click engagement (CE) feature by determining a Bayesian inference based on the expected CTR and a historical CTR for the query-item pair. The computer implemented method can further include, determining a rerank score of the query-item pair with a second machine learning model by using the content-based features and the CE feature. The computer-implemented method can additionally include reranking the query-item pair based in part on the rerank score and the expected CTR. Other embodiments are described.

Abstract: A system is provided including a processor and a non-transitory computer-readable medium storing computing instructions that, when executed on the processor, cause the processor to perform operations including: obtaining a plurality of query-item pairs associated with a query, wherein the plurality of query-item pairs associated with the query are initially ranked at least partially based on user engagement metrics; obtaining, for each query-item pair of the plurality of query-item pairs associated with the query, first temporal-behavioral features, second temporal-behavioral features, and context-aware features, wherein the context-aware features include a vertical of the query; generating, using a Gradient Boosted Decision Tree (GBDT) model, respective query-item pair GBDT output values based on respective inputs for each query-item pair of the plurality of query-item pairs associated with the query, wherein the respective inputs for each query-item pair of the plurality of query-item pairs associated with

Abstract: Determining geo-location of user devices in a multi-radio distributed wireless communication system (WCS) using measured uplink power in radio units (RUs) on a per user device basis is disclosed. Active user devices in the WCS are scheduled to transmit an uplink reference signal (e.g., a sounding reference signal (SRS)) at different times so that uplink power in the uplink reference signal received by multiple RUs can be analyzed on a per user device basis. The measured uplink power of a received uplink reference signal in each RU can be measured in the time domain before any combining of uplink communication signals and then reported to create a user device report. The user device report includes the measured uplink power in multiple RUs that each received the uplink reference signal transmitted by the scheduled remote unit that can be analyzed to determine the geo-location of the user device within the WCS.

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: Machine learning (ML) assisted energy saving optimization in a wireless communications system (WCS) is provided. The WCS includes multiple radio nodes (RNs) each configured to provide radio frequency (RF) coverage in a coverage area. In a conventional approach, each RN emits high RF power to maintain sufficient signal strength at a respective edge of the coverage area, regardless of whether users (stationary and mobile) are present and how users are distributed in the coverage area. To help reduce potential energy waste, the WCS is configured to utilize a sensor network and invoke an ML service to help detect user presence, determine user distribution, and optimize transmit power in the coverage area. As a result, it is possible to configure each RN to radiate an appropriate amount of RF energy based on actual user distribution in the coverage area, thus helping to reduce unnecessary energy waste in the WCS.

Abstract: Various methods and processes, apparatuses/systems, and media for processing of multiple files having different formats and structures are disclosed. The method includes identifying a plurality of data files each having a predefined file format and structure and viewing corresponding file status. The plurality of data files being received from various data sources. The method implements a generic single ETL processor for front loading of ETL in a manner such that user input is received to configure the plurality of files and transmit to multiple downstream systems for further processing via UI mapping. Data file configuration screen can be used to search list of files configured under any report masters along with its status. This configuration screen can be also used to configure new external source files or edit an existing one thereby providing, among others, user controlled data loads, reducing tech dependency, providing reusability and scalability, and eliminating manual overrides.

Abstract: Disclosed are systems and methods for detecting a table from a document, classifying each cell of the table as one of: a value cell, a row header cell, or a column header cell, and performing a bounding box elongation operation to match each cell that is classified as a value cell to a first corresponding cell that is identified as a row header cell and a second corresponding cell that is identified as a column header cell. For each cell classified as a value cell, a data tuple is generated comprising a row header element, a column header element, and a value element, wherein the row header element corresponds to a first value in the first corresponding cell, the column header element corresponds to a second value in the second corresponding cell, and the value element corresponds to a third value in the value cell.

Abstract: Systems and methods are disclosed processing a document. A method includes receiving, by a processor coupled to a memory, layout information for two or more layouts of a document, each layout of the two or more layouts having a layout bounding box. The method includes identifying, by the processor, one or more areas of overlap between the layout bounding boxes of each layout, respectively. The method includes identifying, by the processor, content associated with each area of overlap. Further, the method may include use the layout information, the areas of overlap, and the identified content associated with each area of overlap as inputs to a machine learning model. Further, the method may include receiving, by the processor from the machine-learning model, a layout bounding box configuration for one or more of the layouts of the document. Further, the method may include apply the layout bounding box configuration to the document.

Abstract: Various methods and processes, apparatuses/systems, and media for processing of multiple files having different formats and structures are disclosed. The method includes identifying a plurality of data files each having a predefined file format and structure and viewing corresponding file status. The plurality of data files being received from various data sources. The method implements a generic single ETL processor for front loading of ETL in a manner such that user input is received to configure the plurality of files and transmit to multiple downstream systems for further processing via UI mapping. Data file configuration screen can be used to search list of files configured under any report masters along with its status. This configuration screen can be also used to configure new external source files or edit an existing one thereby providing, among others, user controlled data loads, reducing tech dependency, providing reusability and scalability, and eliminating manual overrides.

Abstract: A method for automatically improving the legibility of text within graphic designs is implemented via a computing system including a processor. The method includes executing a graphics application and causing surfacing of a graphic design GUI on a display. The method includes generating a templatized image including text responsive to the user-initiated insertion of a desired image into a design template surfaced via the graphic design GUI. The method also includes assigning a legibility score to the text within the templatized image and, responsive to a determination that the legibility score is less than a predetermined threshold, generating a bounding box around the text area. The method further includes generating an improved templatized image with improved text legibility by selectively blurring the image portion that falls within the bounding box, as well as causing surfacing of the second templatized image via the graphic design GUI.

Abstract: An information processing apparatus acquires factual features of each of a plurality of users as user features, creates a relationship graph showing a social relationship between the plurality of users based on the user features, sets a target user among the users, sets at least one user related to the target user among the plurality of users as a related user based on the relationship graph, and estimates an attribute of the target user based on the user feature of the target user and the user feature of the related user.

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: The technology disclosed relates to enhancing trust for person-related data sources by tracking person-related sources using trust objects that hold trust metadata. In particular, it relates to generating trust-enhanced data by appending trust metadata to social media content and other business-to-business entities, and further using the trust-enhanced data to develop social engagement models based on customer preferences. The trust metadata described includes names, interface categories and origins of the person-related data sources along with customer engagement preferences and connection types.

Abstract: A method for intelligently triaging patients may be provided. The computer-implemented may diagnose a patient based up a received set of medical symptoms. In response, to the diagnosis, a filterable and/sortable list of healthcare service recommendations may be generated. The list of healthcare services may be generated based upon an analysis of a plurality of user data. Each recommendation on the list of healthcare service recommendations may correspond to a plurality of metadata describing the associated healthcare service. When a user selects a particular healthcare service from the list of healthcare service recommendations, the method may include interconnecting a client device with a computing system associated with the particular healthcare service.

Abstract: Enabling a third-party data service to update custom data objects is described. A database system outputs a data object to a user device in response to receiving a user selection of the data object. The database system outputs a data service object, associated with a third-party data service, to the user device in response to receiving a user selection of the third-party data service. The database system stores metadata that maps between a data field, associated with the data object, and a data service field, associated with the data service object, in response to receiving a user selection of the data field and the data service field. The database system updates an instance of the data object by using the metadata to send request data to the third-party data service and using the metadata to receive response data from the third-party service.

Abstract: The disclosed embodiments illustrate methods for displaying targeted content on a digital signage board (DSB). The method includes receiving encrypted profile information from each of a plurality of user-computing devices when the plurality of user-computing devices is in a proximity range of the DSB, wherein the DSB is associated with one or more products and/or services. The method further includes aggregating the encrypted profile information received from each of the plurality of user-computing devices to generate an aggregated encrypted profile. Further, the method includes transmitting the aggregated encrypted profile to a content server, wherein the content server decrypts the aggregated encrypted profile to select the targeted content from a content repository associated with the one or more products and/or services, wherein the targeted content is displayed on the DSB.

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: A method of detecting crosstalk for a digital isolator having first and second channels including two die with channels including a transmit side, receive side, with ?1 die including a capacitive barrier for each channel. A first clock signal at a first frequency in a first pulse pattern and a second clock signal at a second frequency in a second pulse pattern are configured, wherein the pulse patterns have a phase difference. The transmit side of the channels each encode their received clock pulse pattern, then modulate with a carrier frequency to provide a fc1 and a fc2 signal, respectively. The receive side of the channels demodulate received signals during a rising or falling edge of their clock signal to generate a delayed received version of the first and second clock pulse pattern. Missing pulses are identified by comparing the delayed received clock pulse patterns to their clock pulse patterns.

Abstract: The technology disclosed relates to enhancing trust for person-related data sources by tracking person-related sources using trust objects that hold trust metadata. In particular, it relates to generating trust-enhanced data by appending trust metadata to social media content and other business-to-business entities, and further using the trust-enhanced data to develop social engagement models based on customer preferences. The trust metadata described includes names, interface categories and origins of the person-related data sources along with customer engagement preferences and connection types.