Abstract: A method includes receiving first event data from a device, the first event data including a first identifier (ID) that identifies the device, web browser metadata, and data associated with an application state. The method includes generating a first persona including the first ID and a first event identifier that identifies a first user action. The method includes receiving second event data, the second event data including device metadata and a second ID that identifies the device. The method includes generating a second persona based on the second event data, the second persona including the second ID and a second event identifier that identifies a second user action. Additionally, the method includes determining that the first and second personas are associated with the device based on matches between the browser metadata and device metadata and transmitting a response to the device configured to route the device to the application state.

Abstract: The invention provides a novel and unique system and method for cross channel in-vehicle identification of media, source, and consumption measurement and analysis. Real-time measurement and analysis of all applicable forms of media that a driver or passenger may consume inside of an automobile can be achieved.

Abstract: Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.

Abstract: A user device includes a local service module application and an advertising application. The user device receives, at the advertising application, advertisement data from an application-specific server associated with the advertising application. The advertisement data includes advertisement content data configured to render an advertisement. The user device is further configured to send the advertisement data from the advertising application to the local service module application. The user device is further configured to receive, at the local service module application, an advertisement request from an advertisement requesting application installed on the user device. The user device is further configured to send, from the local service module application, the advertisement data to the advertisement requesting application in response to the advertisement request.

Abstract: A method includes receiving first event data from a device, the first event data including a first identifier (ID) that identifies the device, web browser metadata, and data associated with an application state. The method includes generating a first persona including the first ID and a first event identifier that identifies a first user action. The method includes receiving second event data, the second event data including device metadata and a second ID that identifies the device. The method includes generating a second persona based on the second event data, the second persona including the second ID and a second event identifier that identifies a second user action. Additionally, the method includes determining that the first and second personas are associated with the device based on matches between the browser metadata and device metadata and transmitting a response to the device configured to route the device to the application state.

Abstract: Techniques are described herein for identifying issues related to digital interactions. For example, a detection system may be provided to analyze suspect sessions to determine if one or more stages associated with the suspect sessions are underperforming compared to corresponding stages associated with similar sessions. The detection system may provide a user interface that allows a user to select one or more attributes that may be associated with one or more sessions. Selection of the one or more attributes may identify multiple sessions (referred to as suspect sessions herein). The one or more suspect sessions may be analyzed to determine whether one or more stages associated with the one or more suspect sessions are underperforming compared to corresponding stages associated with one or more other sessions determined to be similar to the one or more suspect sessions.

Abstract: Techniques are described herein for evaluating user activities on a website for detecting and alerting anomalies with the website. For example, an alerting system may determine a set of time-windows for each of a set of attribute value(s) and use a set of performance metrics and/or web session events for the time-windows from historical web sessions to detect an anomaly in a current time-window. The alerting system may determine an evaluation range based on weighted performance ranges, and alert a client indicating a performance anomaly if a performance metric at the time of evaluation are out of the evaluation range. Attribute value(s) related to a website issue can be identified based on a correlated to anomalous web session events or to an anomalous time-window.

Abstract: Techniques are disclosed for monitoring operation of and/or interaction with a website to detect events (“frustration events”). In at least one embodiment, a detection system is disclosed that can monitor a website for the same or unrelated interaction and operation to detect events that affect the performance of a website, while contributing to the frustration of user interaction with the website. The detection system can monitor interaction with and/or operation of one or more documents of a website. Interactions with a website, operations of the website, or a combination thereof, may be assessed with respect to a threshold defining an event. One or more criteria (e.g., a time period) of the event may be assessed for the interactions and operations. Event data may be generated for the event(s) that occur, and the event data may be sent to a host system to adjust operation of the website.

Abstract: A method includes generating vertical-specific (VS) records from data sources. Each VS record includes a vertical identifier and a set of VS data fields. The method further comprises generating, for each VS record, an entity partial (EP) record that includes EP data fields populated from the VS data fields. The EP data fields include an entity ID that indicates an entity for the EP record, a source data field that identifies a data source, and an EP searchable data field including data that is descriptive of the entity. The method further comprises generating a search record for each entity ID by combining data from EP records. The data from the EP records is combined based on the source data included in the EP records. Each search record includes a search record searchable data field that includes data from one or more of the EP searchable data fields.

Abstract: Protective goggles for human use including a pair of protective goggles for human use with at least one lens, an upper edge that is positioned against the user's forehead and a lower edge that is positioned against the user's cheek. Each of the user's eyes are covered by a separate section of lens and each of these sections extends along at least one line of curvature. It is intended that each lens section has a first and a second line of curvature that, at least in substantial part, are positioned transversely to one another, and along which the individual sections of lens extend; furthermore, that the lines of curvature of one lens section are inclined towards the lines of curvature of the other lens section in terms of their positioning.

Abstract: Methods and apparatuses for the identification and/or characterization of properties of a macromolecule based on mass spectrometry data. Specifically, described herein are methods and apparatuses for converting peptide-level data into a pseudo-intact mass spectra. Also described herein are methods and apparatuses for converting peptide-level data into a pseudo-electropherogram. The methods may be well suited for analyzing proteins and protein complexes, including estimating properties of post-translational modifications of the proteins and protein complexes. Methods may include generating a theoretical graph or spectrum based on peptide-level mass spectrometry data. In some embodiments, the theoretical graph may be a theoretical intact mass spectrum or a theoretical charge distribution spectrum.

Abstract: Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.

Abstract: Techniques are described herein for identifying issues related to digital interactions. For example, a detection system may be provided to analyze suspect sessions to determine if one or more stages associated with the suspect sessions are underperforming compared to corresponding stages associated with similar sessions. The detection system may provide a user interface that allows a user to select one or more attributes that may be associated with one or more sessions. Selection of the one or more attributes may identify multiple sessions (referred to as suspect sessions herein). The one or more suspect sessions may be analyzed to determine whether one or more stages associated with the one or more suspect sessions are underperforming compared to corresponding stages associated with one or more other sessions determined to be similar to the one or more suspect sessions.

Abstract: A method includes receiving a search query from a user device and generating an application name stream query and an original stream query based on the search query. The application name stream query indicates an application name. The original stream query includes the search query. The method includes generating stream metadata for each of the stream queries that indicates a type of the stream query. The application name stream query is an application name type. The original stream query is an original stream type. The method includes, for each stream query, identifying a set of search records and generating a stream result score for each set of search records based on the type of stream query used in identifying the set of search records. Additionally, the method includes selecting a set of search records based on the stream result scores and generating search results based on the selected search records.

Abstract: A method includes acquiring first aggregate event data for a first sub-publisher. The first aggregate event data indicates aggregate user activity across a plurality of applications associated with the first sub-publisher. The method further includes acquiring second aggregate event data for a plurality of additional sub-publishers. The method further includes determining a plurality of anomaly metric values for the first sub-publisher based on the first aggregate event data and the second aggregate event data. The method further includes determining an anomaly function value for the first sub-publisher based on the anomaly metric values for the first sub-publisher. The anomaly function value indicates a likelihood that the first sub-publisher is associated with fraudulent user activity.

Abstract: Techniques are disclosed for monitoring operation of and/or interaction with a website to detect events (“frustration events”). In at least one embodiment, a detection system is disclosed that can monitor a website for the same or unrelated interaction and operation to detect events that affect the performance of a website, while contributing to the frustration of user interaction with the website. The detection system can monitor interaction with and/or operation of one or more documents of a website. Interactions with a website, operations of the website, or a combination thereof, may be assessed with respect to a threshold defining an event. One or more criteria (e.g., a time period) of the event may be assessed for the interactions and operations. Event data may be generated for the event(s) that occur, and the event data may be sent to a host system to adjust operation of the website.

Abstract: Techniques are described herein for determining an impact of slow performing webpages on a website. For example, a detection system may be provided to determine timing distributions for webpages by analyzing timing measurements for different timing metrics. The detection system may determine ranges of the timing distributions for slow and fast group of users of the website. The detection system may analyze user interactions of slow and fast group of users on the website. The detection system may further determine impacts of poor performing webpages on the website's performance based on the analysis of the user interactions on the webpages. The detection system may classify the impacts the webpages of the website and display the classifications to a website provider for identifying network operation(s) contributing to poor performance of the webpages.

Abstract: A user device includes a processing unit that executes a search application. Executing the search application causes the processing unit to receive a user search query, send the user search query to a plurality of target applications, and receive a set of search results from each of the target applications. Each search result includes application state access data configured to access an application state of the target application associated with the search result. Executing the search application causes the processing unit to rank the search results, display the ranked search results, and detect user selection of one of the displayed search results. Additionally, executing the search application causes the processing unit to send the application state access data associated with the selected search result to the target application associated with the selected search result and display the application state accessed using the application state access data.

Abstract: This invention relates to graphical user-interactive analysis of data, including in particular, mass spectrographic data analysis, as well as methods and software for generating and using such. One aspect provides user-customizable reports, including methods and apparatuses for generating customizable pivot tables and graphs specific to mass spectrographic data.

Abstract: A foam earplug for reception at least partially within the ear canal and including a body portion formed of resilient foam plastic material having a multiple open cell structure and having a size and shape for at least partial reception within the ear canal. A transdermal material having a particular beneficial action, and with an outer layer of the foam earplug infused with the transdermal material so that the benefits of the transdermal material is in transdermal contact with the ear canal. One example is a humectant material and, specifically, a moisturizer/lubricating material, for providing an increase to the lubrication and moisturizing in the ear canal. A second example is where the beneficial action is provided by systemic distribution such as a sleep aid, i.e., Melatonin, so that when the earplugs arm worn during sleep, the earplugs will provide a sleep aid to the wearer.