Abstract: This disclosure describes systems that generate a single scrollable page within a scroll navigation interface of a client device. The disclosed systems group the content items into stacks and provide the stacks of content items for display within an initial viewing pane of the single scrollable page. Additionally, the disclosed systems generate and provide a set of label elements within the initial viewing pane. Responsive to a selection of a label element of the set of label elements, the disclosed systems add a new viewing pane beneath the initial viewing pane within the single scrollable page and display a subset of the content items related to the label element within the new viewing pane. Further, responsive to receiving an indication of an upward navigational input, the disclosed systems can display the initial viewing pane of the single scrollable page within the scroll navigation interface.

Abstract: Systems and associated methods are described for providing content recommendations. The system accesses a plurality of recommendation algorithms and assigns a plurality of weight values to each prediction algorithm. Then, the system generates a set of candidate weight combinations, such that each candidate combination includes a weight value assigned to each prediction algorithm. Then requests for content items are received over a predetermined period of time. For each combination, the system generates a set of recommended content items and an evaluation metric that is based on matches with requests. Afterwards, the system replaces a candidate combination that resulted in a generation of a lowest evaluation metric. The aforementioned steps are repeated until the evaluation metrics stop improving. Then display identifiers are displayed for a set of recommended content items generated for a candidate combination with the highest evaluation metric.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects, using a multi-armed bandit solution model, a first plurality of content categories based on a reward score of each content category. The categories are displayed. When a user selects an item from the displayed categories, the system finds all categories that include the selected item, but rewards only the category with the highest score. The system selects, using the multi-armed bandit solution model, the second plurality of content categories based on the updated reward score of each content category. The categories are then displayed. The system may also repeat the steps to refine the multi-armed bandit solution model.

Abstract: An apparatus includes an interface and a processor. The interface sends and receives data over a network. The processor uses the interface to transmit a first media file to a device of a user. The first media file presents a first choice between at least two options. The processor uses the interface to receive from the user a first selection in response to the first choice. In response to receiving the first selection, the processor transmits a second media file to the device. The second media file presents a second choice between at least two options. The processor uses the interface to receive from the user a second selection in response to the second choice. The processor identifies, based in part on the first selection and the second selection, a second user as potentially compatible with the user and transmits to the user a profile of the second user.

Abstract: Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework that provides advancements in electronic messages are presented to users, as well as how users are capable of interacting with such messages, and the content included and/or referenced therein. The disclosed framework provides novel mechanisms for modifying how an electronic message is displayed within an account inbox, whereby such modifications enable interactions with the content in the message as well as the electronic/network resources associated with such message/content without requiring the message to be opened. Thus, streamlined mechanisms are provided that enable advanced capabilities for inbox management and interactions therefrom, which can reduce resource expenditure by the device accessing the inbox and the system hosting the inbox, as well increase in user experience.

Abstract: Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework that provides advancements in electronic messages are presented to users, as well as how users are capable of interacting with such messages, and the content included and/or referenced therein. The disclosed framework provides novel mechanisms for displaying messages in a modified manner that provides users with previously non-native functionality for viewing compiled summaries of the email content within the displayed inbox, message item without having to open the message. The disclosed functionality enables the triaging of emails without having to interact (e.g., open, forward, reply, and the like), all from the inbox listing of a user's account.

Abstract: Aspects of the present disclosure include a rigid paperboard product comprising at least one modified starch and at least one crosslinker, wherein the at least one modified starch is present in an amount ranging from 2% to 20% by weight of the paperboard product, wherein the at least one crosslinker is present in an amount ranging from 0.5% to 8% by weight based on the dry weight of the starch content in the paperboard product, and wherein the paperboard product has a rigidity value ranging from 375 to 500.

Abstract: Systems and associated methods are described for providing content recommendations. The system accesses a plurality of recommendation algorithms and assigns a plurality of weight values to each prediction algorithm. Then, the system generates a set of candidate weight combinations, such that each candidate combination includes a weight value assigned to each prediction algorithm. Then requests for content items are received over a predetermined period of time. For each combination, the system generates a set of recommended content items and an evaluation metric that is based on matches with requests. Afterwards, the system replaces a candidate combination that resulted in a generation of a lowest evaluation metric. The aforementioned steps are repeated until the evaluation metrics stop improving. Then display identifiers are displayed for a set of recommended content items generated for a candidate combination with the highest evaluation metric.

Abstract: Apparatuses, systems, and methods are disclosed for providing controlled delivery of electrolysis products and cellular permeabilization treatment to a site in tissue. A minimally invasive regenerative surgery of subjecting a target area in living tissue to an electric input composed of a combination of electric fields of a magnitude that permeabilizes the cell membrane and to an electrolytic reaction that generates products of electrolysis of a magnitude that, by themselves, do not cause damage to cells or the extracellular matrix, but induces cell death in combination with electric field of the magnitude that permeabilizes the cell membrane. It is shown that the apparatuses, systems, and methods generate a region of tissue in which complete regeneration of the ablated tissue occurs without massive inflammation, ulceration, coagulative necrosis, fibrotic tissue, or scar tissue.

Abstract: Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, candidate database records potentially matching a received database record may be identified in a local database, and a respective probability of each candidate database record matching the received record is output by a match machine learning model. A list of statistical scores is generated based on the respective probabilities and is input to an in-database machine learning model to calculate the probability that the received database record already exists in the local database.

Abstract: In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.

Abstract: Aspects of the present disclosure include racetrack oval paperboard products comprising two straight sidewalls parallel to one another in the longitudinal direction of the product, the racetrack oval paperboard products comprising at least one modified starch and at least one crosslinker, wherein the at least one modified starch is present in an amount ranging from 2% to 20% by weight of the oval paperboard product, wherein the at least one crosslinker is present in an amount ranging from 0.5% to 8% by weight based on the dry weight of the starch content in the oval paperboard product, and wherein the racetrack oval paperboard product has a rigidity value ranging from 375 to 500.

Abstract: In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects a first plurality of subsets of content categories, each subset of content categories comprising a first number of content categories. The subsets are assigned reward scores based on content popularity and duplication. The subset are then iteratively modified to increase the rewards scores. If the reward scores are still low, the process is repeated by selecting a second plurality of subsets of content categories, each subset of content categories comprising a second number of content categories, different from first number.

Abstract: Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, candidate database records potentially matching a received database record may be identified in a local database, and a respective probability of each candidate database record matching the received record is output by a match machine learning model. A list of statistical scores is generated based on the respective probabilities and is input to an in-database machine learning model to calculate the probability that the received database record already exists in the local database.

Abstract: Aspects of the present disclosure include a rigid paperboard product comprising at least one modified starch and at least one crosslinker, wherein the at least one modified starch is present in an amount ranging from 2% to 20% by weight of the paperboard product, wherein the at least one crosslinker is present in an amount ranging from 0.5% to 8% by weight based on the dry weight of the starch content in the paperboard product, and wherein the paperboard product has a rigidity value ranging from 375 to 500.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects a first plurality of subsets of content categories, each subset of content categories comprising a first number of content categories. The subsets are assigned reward scores based on content popularity and duplication. The subset are then iteratively modified to increase the rewards scores. If the reward scores are still low, the process is repeated by selecting a second plurality of subsets of content categories, each subset of content categories comprising a second number of content categories, different from first number.

Abstract: Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization.

Abstract: A system generally comprising a charger with an integrated battery is provided that may be associated with a generator starter. The system is configured to maintain battery charge with the charger that monitors battery temperature before initiating a boost charge. Battery charge is thereafter maintained with the charger supplying a float or eco-float current to the battery, which maximizes system life.

Abstract: Methods and systems for presenting contextually relevant push content when a user is passively engaged with an application are described herein. The system detects that the user is engaged with an application on a device and monitors the user's level of engagement with the application. If the system determines that the user is passively engaged, the system prepares to insert push content into the current output. The system identifies a region on the current output into which to insert push content, for example a region unoccupied by content or a particular object. The system identifies a context of the current output and selects a push content item based on the context of the current output. Then, the system inserts the push content item into the empty region on the current output.