Abstract: A user device stores a local application including initial search records and an initial search function. Each initial search record includes an application link that opens an application page and search data that describes the application page. The initial search function is configured to select from the initial search records. The user device executes the local application to request and receive search update data from a remote system. The search update data includes updated search records and an updated search function. The user device updates the initial search records and the initial search function with the updated search records and the updated search function. The user device receives a search query from a requesting application, selects a set of updated search records based on the search query and the updated search function, and provides a response to the requesting application including application links from the set of updated search records.

Abstract: A method includes sequentially generating fragment records for a user device according to fragment generation rules specifying that each subsequent fragment record be generated for user device events that occur within a defined period of time. Each fragment record includes event data for a series of user device events and includes a fragment ID generated using a non-deterministic ID generation algorithm. The method includes generating an ID-fragment record associating a chain ID with the fragment IDs. The chain ID is associated with device IDs that identify the user device. The method includes removing associations between the chain ID and fragment IDs according to removal parameters indicating that associations be removed based on an age of the fragment records. The method includes generating at least one of search results and advertisements for the user device based on the event data in the fragment records that remain associated with the chain ID.

Abstract: Described herein are computer-implemented methods for compressing sparse multidimensional ordered series data. In particular, these methods and apparatuses for performing them (including software) may be particularly well suited to efficiently compressing spectrographic data.

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: When different client devices request the same document, most of content of the response from the server (i.e. the response document from a web server) will be the same. Embodiments allow the client devices to use fingerprints, i.e. hashes, sent by a capture system to pinpoint only the changing portions of the document instead of sending the entire document. In various embodiments, the client compares client-generated fingerprints for the document with capture system-generated fingerprints for most likely appearing portions of text of the document or related documents to fully represent and sends to the capture system the client document in a compact and efficient way.

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: In networked communication systems, a document in a communication (e.g., a response) may be similar between multiple communications involving the same resource, such that duplicate data can be discarded and not stored by a network storage system. Storage of differences in network traffic facilitates compression of storage of network traffic, thereby significantly reducing data storage. Techniques are disclosed for efficient search and retrieval of the compressed data storage. Network traffic may be compared to communications in previous network traffic to identify differences if any. Resource templates may be generated for different (e.g., new) resources identified in network traffic. Storage of the different resources identified in network traffic enables compression of network traffic. Similarity matching may be implemented to improve processing performance for compact storage of network traffic, including determining differences in network traffic for storage.

Abstract: The present disclosure describes how to capture events (e.g., changes and user interactions) of a Web document and combine those changes with the original DOM displayed to accurately and efficiently enable a replay engine to redisplay the DOM, changes, and user interactions which occurred within a user's browser. The data collected from a client-side HTML DOM capture engine can be combined with a minimal amount of contextual information to a replay engine so as to accurately and efficiently replay a session of a plurality of web documents.

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: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.

Abstract: A method for reporting in vehicle media consumption and user interaction with a vehicle. The method including receiving raw data of media and vehicle usage of a vehicle by a platform device, the platform device including storage, operation controls, a microprocessor, a memory component, I/O inputs and outputs and an operating system installed and running thereon; processing the raw data to remove at least one obfuscation function to anonymize at least a portion of a personally identifiable information; and producing a report with the processed raw data relating to the user interaction vehicle and the media content.

Abstract: Methods and apparatuses for the identification and/or characterization of properties of a sample using mass spectrometry. The method involves using a measured spectrum of data from a sample taken with a mass spectrometer, deconvoluting the measured spectrum of data by applying parsimony weighting to minimize the number of charge states based on one or more of: the number of intense peaks in the mass spectrum; the number of harmonic relationships (e.g., masses in small integer ratios); and the number of off-by-one relationships (e.g., m/z bins with high probability for two adjacent charges). Thus, the underlying m/z spectrum may be inferred from the family of plausible deconvoluted spectra determined by applying parsimony and the inferred m/z spectrum may be used to identify and/or characterize the sample.

Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.

Abstract: A method includes acquiring application data for applications. The application data specifies an application category and includes application words that describe the application. The method includes determining, for each application word, a global fraction value that indicates the fraction of applications with the application word, a category fraction value that indicates the fraction of applications in the category with the application word, and a ratio value that indicates the ratio of the category fraction value to the global fraction value. The method includes classifying application words as categorical words when the ratio value is greater than a ratio threshold. The method includes identifying similar applications and setting categorical words as categorical search keywords for applications when the categorical words are in greater than a threshold number of similar applications.

Abstract: Techniques can capture, store, and regenerate a view of content in applications (e.g., native applications) on devices (e.g., a mobile device). A capture management system can produce compact data storage of views of content in an application on a device and the efficient search thereof of views of content provided in the application. The views of content can be translated into a transportable data layer, such as HTML, and captured using delta encoding to identify changes and modifications in content accessed in any application at a device. A capture management system can accurately and efficiently capture events displayed for an application at a device and send the events to a server-side system, which can combine the events to reassemble the events. A user interface and user interaction events on an application at a mobile device can be reassembled for the purpose of playback and analysis of interactions with the application.

Abstract: The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.

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 can capture, store, and regenerate a view of content in applications (e.g., native applications) on devices (e.g., a mobile device). A capture management system can produce compact data storage of views of content in an application on a device and the efficient search thereof of views of content provided in the application. The views of content can be translated into a transportable data layer, such as HTML, and captured using delta encoding to identify changes and modifications in content accessed in any application at a device. A capture management system can accurately and efficiently capture events displayed for an application at a device and send the events to a server-side system, which can combine the events to reassemble the events. A user interface and user interaction events on an application at a mobile device can be reassembled for the purpose of playback and analysis of interactions with the application.

Abstract: The present disclosure describes how to capture events (e.g., changes and user interactions) of a Web document and combine those changes with the original DOM displayed to accurately and efficiently enable a replay engine to redisplay the DOM, changes, and user interactions which occurred within a user's browser. The data collected from a client-side HTML DOM capture engine can be combined with a minimal amount of contextual information to a replay engine so as to accurately and efficiently replay a session of a plurality of web documents.

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.