Abstract: A method includes logging first user interactions associated with a playlist of content items and generating first metrics based on the logged first user interactions with the playlist. The first metrics include a first metric indicating a first duration of playback of a first content item of the playlist during playback of the playlist. The first duration of playback of the first content item during the playback of the playlist is greater than a first default duration of playback. The method further includes reporting at least the first metric to a creator or curator of the playlist, logging second user interactions associated with the playlist, and generating second metrics based on the logged second user interactions with the playlist. The logged first user interactions correspond to more deviations from a default playback sequence of the playlist than the logged second user interactions.

Abstract: A method includes logging first user interactions associated with a playlist of content items and generating first metrics based on the logged first user interactions with the playlist. The first metrics include a first metric indicating a first duration of playback of a first content item of the playlist during playback of the playlist. The first duration of playback of the first content item during the playback of the playlist is greater than a first default duration of playback. The method further includes reporting at least the first metric to a creator or curator of the playlist, logging second user interactions associated with the playlist, and generating second metrics based on the logged second user interactions with the playlist. The logged first user interactions correspond to more deviations from a default playback sequence of the playlist than the logged second user interactions.

Abstract: A method includes generating metrics based on a first plurality of interactions with first content of a playlist. A first metric indicates approval of a first content item of the playlist and a second metric indicates a first duration of playback of a second content item of the playlist during playback of the playlist. The first duration of playback of the second content item is greater than a first default duration of playback. The method further includes reporting at least the first metric and the second metric and receiving a modified playlist. The modified playlist may be the playlist modified based on at least the first metric. The method further includes identifying, in captured data associated with access to the modified playlist, a second plurality of interactions with second content of the modified playlist. The second plurality of interactions corresponds to fewer deviations than the first plurality of interactions.

Abstract: Systems and methods are disclosed for providing playlist analytics. A method includes logging first user interactions associated with a playlist of content items and generating metrics based on the logged first user interactions with the playlist. The playlist is associated with a default playback sequence of the content items. A first metric indicates a last content item played by a user from the playlist is different from a last content item in the default playback sequence associated with of the playlist. The method further includes reporting at least the first metric. The playlist is to be modified based on one or more of the plurality of metrics.

Abstract: Systems and methods can facilitate gathering information generated by network traffic to playlists. Based on analytics and metrics derived from the gathered information and reported, feedback about playlist access patterns can be supplied to interested parties, such as playlist creators/curators. The feedback can enable playlist curators to better tailor playlist content and sequence, potentially reducing a perceived need to skip around inside a playlist and making for a more enjoyable experience for playlist users.

Abstract: Systems and methods are disclosed for providing playlist analytics. A method may include capturing data associated with access to a playlist of content. The method may further include identifying, in the captured data, one or more interactions with the playlist of content. The method may further include generating, by a processing device, at least one metric based on the identified one or more user interactions. The method may further include reporting the at least one playlist metric.

Abstract: Systems and methods are disclosed for providing playlist analytics. A method includes logging first user interactions associated with a playlist of content and generating metrics regarding the logged first user interactions with the playlist of content. A first metric indicates that playback of the playlist ended on a content item that is different from a last content item in a default sequence of content items of the playlist. The first metric indicates a deviation from the default sequence of content items of the playlist. The method further includes reporting at least the first metric and logging second user interactions associated with a modified playlist. The modified playlist is the playlist modified based on one or more of the plurality of metrics. The first user interactions correspond to more deviations than the second user interactions.

Abstract: A method includes generating metrics based on a first plurality of interactions with first content of a playlist. A first metric indicates approval of a first content item of the playlist and a second metric indicates a first duration of playback of a second content item of the playlist during playback of the playlist. The first duration of playback of the second content item is greater than a first default duration of playback. The method further includes reporting at least the first metric and the second metric and receiving a modified playlist. The modified playlist may be the playlist modified based on at least the first metric. The method further includes identifying, in captured data associated with access to the modified playlist, a second plurality of interactions with second content of the modified playlist. The second plurality of interactions corresponds to fewer deviations than the first plurality of interactions.

Abstract: A method for computing usage metrics for a content sharing platform is disclosed. The method includes receiving usage logs of a content sharing platform, the usage logs pertaining to a plurality of events associated with content items of the content sharing platform. The method further includes, for each usage log, identifying an event associated with the usage log, parsing the usage log to identify a set of characteristics for the identified event, obtaining additional information about the identified event based on the set of characteristics, and storing the set of characteristics and the additional information as an event entry for the event. The method also includes storing metadata corresponding to the event separately from the event entry, the metadata to be provided with the event entry to a user upon a user request for information about the event.

Abstract: Systems, methods and computer program products for determining costs of vehicle repairs and times to major repairs. In one embodiment, a system includes a computer processor, a data storage device, and an output device. The processor receives information from a user identifying a vehicle of interest. The processor retrieves repair data items that have characteristics common to the vehicle of interest from a database stored in the data storage device. The processor determines repairs that are expected to be necessary for the vehicle of interest based on the retrieved repair data items, and determines the costs associated with the identified expected repairs. The processor provides output to the user indicating the repair costs and/or the times at which the repairs are likely to be necessary. The output may be in graphical and/or numerical form.

Abstract: Systems, methods and computer program products for determining costs of vehicle repairs and times to major repairs. In one embodiment, a system includes a computer processor, a data storage device, and an output device. The processor receives information from a user identifying a vehicle of interest. The processor retrieves repair data items that have characteristics common to the vehicle of interest from a database stored in the data storage device. The processor determines repairs that are expected to be necessary for the vehicle of interest based on the retrieved repair data items, and determines the costs associated with the identified expected repairs. The processor provides output to the user indicating the repair costs and/or the times at which the repairs are likely to be necessary. The output may be in graphical and/or numerical form.

Abstract: Systems and methods for assisting a vehicle owner in making decisions regarding when to replace a vehicle by determining a vehicle owner's satisfaction with the vehicle relative to the cost of owning the vehicle. In one embodiment, a system is configured to provide a model for owner satisfaction which is based on historical vehicle replacement information, but is tailored to a particular owner according to user input. An owner satisfaction curve is produced from this model and is compared to a cost-of-ownership curve that is tailored to the vehicle and possibly also the user. The owner satisfaction curve is compared to the cost-of-ownership curve to enable the user to determine where the cost of ownership exceeds the owner's satisfaction, and the vehicle should be replaced.

Abstract: Systems and methods can facilitate gathering information generated by network traffic to playlists. Based on analytics and metrics derived from the gathered information and reported, feedback about playlist access patterns can be supplied to interested parties, such as playlist creators/curators. The feedback can enable playlist curators to better tailor playlist content and sequence, potentially reducing a perceived need to skip around inside a playlist and making for a more enjoyable experience for playlist users.

Abstract: Systems and methods for estimating the cost of vehicle ownership wherein, in one embodiment, a system includes a computer processor that is coupled to a network interface, a data storage device and an output device, the processor being configured to receive information identifying a user-specified vehicle of interest and interval of interest. The processor uses this information to identify and retrieve pre-calculated data items that are stored in the data storage device, and to request external data items from an external data source and receive the requested external data items via the network interface. The processor computes cost-of-vehicle-ownership (COVO) components for the vehicle of interest, sums the components to determine an overall COVO, and outputs the components and overall COVO to a user via the output device. The user may provide further input to modify the COVO calculation.

Abstract: A sealed module is provided in the present disclosure. The sealed module includes a first substrate with a lens unit and an adhesive geometry formed around the lens unit, a second substrate stacked onto the first substrate, and a sealing wall for sealing the first substrate with the second substrate to form a closed cavity. The lens unit is located in the closed cavity, and the adhesive geometry serves as an adhesive barrier. The adhesive geometry includes glue guiding features for controlling a track of adhesive glue during a stacking process between the first substrate and the second substrate. The present disclosure further provides a method for making a sealed module.

Abstract: Systems and methods for reducing latency times associated with sessionizing log events from streaming logs are disclosed herein. In an aspect, event data related to user consumption of media content items can be monitored. Further, respective event data based at least in part on user playback of the media content items can be analyzed. In another aspect, pending and finalized event data can be summarized into a finalized playback record. In yet another aspect, the size of a time window can be adjusted based in part on observed logsaver latency. Further, in an aspect, watch time data can be integrated into a de-spamming pipeline.

Abstract: Systems, methods and computer program products for determining costs of vehicle repairs and times to major repairs. In one embodiment, a system includes a computer processor, a data storage device, and an output device. The processor receives information from a user identifying a vehicle of interest. The processor retrieves repair data items that have characteristics common to the vehicle of interest from a database stored in the data storage device. The processor determines repairs that are expected to be necessary for the vehicle of interest based on the retrieved repair data items, and determines the costs associated with the identified expected repairs. The processor provides output to the user indicating the repair costs and/or the times at which the repairs are likely to be necessary. The output may be in graphical and/or numerical form.

Abstract: Systems and methods for estimating the cost of vehicle ownership wherein, in one embodiment, a system includes a computer processor that is coupled to a network interface, a data storage device and an output device, the processor being configured to receive information identifying a user-specified vehicle of interest and interval of interest. The processor uses this information to identify and retrieve pre-calculated data items that are stored in the data storage device, and to request external data items from an external data source and receive the requested external data items via the network interface. The processor computes cost-of-vehicle-ownership (COVO) components for the vehicle of interest, sums the components to determine an overall COVO, and outputs the components and overall COVO to a user via the output device. The user may provide further input to modify the COVO calculation.

Abstract: Systems and methods for assisting a vehicle owner in making decisions regarding when to replace a vehicle by determining a vehicle owner's satisfaction with the vehicle relative to the cost of owning the vehicle. In one embodiment, a system is configured to provide a model for owner satisfaction which is based on historical vehicle replacement information, but is tailored to a particular owner according to user input. An owner satisfaction curve is produced from this model and is compared to a cost-of-ownership curve that is tailored to the vehicle and possibly also the user. The owner satisfaction curve is compared to the cost-of-ownership curve to enable the user to determine where the cost of ownership exceeds the owner's satisfaction, and the vehicle should be replaced.

Abstract: Systems and methods for reducing latency times associated with sessionizing log events from streaming logs are disclosed herein. In an aspect, event data related to user consumption of media content items can be monitored. Further, respective event data based at least in part on user playback of the media content items can be analyzed. In another aspect, pending and finalized event data can be summarized into a finalized playback record. In yet another aspect, the size of a time window can be adjusted based in part on observed logsaver latency. Further, in an aspect, watch time data can be integrated into a de-spamming pipeline.