Abstract:
A computing device may determine a geographic location of the computing device. The computing device may receive information associated with a user. The information may include a search history, a browsing history, an electronic communication message, a social media profile, and a geographic location history. The computing device may determine, based on the information associated with the user, a predicted interest of the user. The computing device may determine, based on the predicted interest of the user, events within a threshold distance from the geographic location of the computing device. The computing device may determine, based on a strength of a relationship between the predicted interest and respective event information associated with each of the events, a ranking of the events. The computing device may output, based on the ranking, at least a portion of the event information for at least one of the events.
Abstract:
A computing device may determine a geographic location of the computing device. The computing device may receive information associated with a user. The information may include a search history, a browsing history, an electronic communication message, a social media profile, and a geographic location history. The computing device may determine, based on the information associated with the user, a predicted interest of the user. The computing device may determine, based on the predicted interest of the user, events within a threshold distance from the geographic location of the computing device. The computing device may determine, based on a strength of a relationship between the predicted interest and respective event information associated with each of the events, a ranking of the events. The computing device may output, based on the ranking, at least a portion of the event information for at least one of the events.
Abstract:
Methods and apparatus are directed to geofencing-related heuristics for computing devices. A computing device with a plurality of sensors can receive a plurality of heuristics. Each heuristic can be configured to generate command(s) for the sensors based on one or more heuristic inputs. The heuristic input(s) can include an input related to a geofence. The computing device can receive a plurality of signals from the sensors. The computing device can determine, based on the plurality of signals, an activity class for the computing device. The activity class can specify an activity associated with the computing device. The computing device can select a heuristic from the plurality of heuristics at least based on the activity class. The computing device can execute the selected heuristic to generate the command(s) for the sensors.
Abstract:
Methods and systems for automatically providing a notification of an operational problem between two devices are provided. The method may include searching online content for user feedback comments associated with a first device and a second device. Sentiment analysis may be performed for the user feedback comments and ian operational problem that occurs between the first device and the second device may be identified based on the sentiment analysis. Next, a notification of the operational problem may be provided. Additionally, a probable cause associated with the operational problem may be identified and a suggested solution based on the identified probable cause may be provided. The suggested solution may correct the operational problem between the first device and the second device.
Abstract:
Implementations of the present disclosure provide methods and systems for identifying peripheral devices with which problematic connections have been established. According to one embodiment, a method for detecting a model of peripheral device for which problematic connections with a computerized unit are common is disclosed. The method involves receiving values of each of one or more features of a particular connection between a computerized unit and a peripheral device, using the received values to determine a score for each of the features of the particular connection, calculating an overall connection score from the scores for each of the features, and generating a problematic peripheral device report including the model of the peripheral device if the overall connection score is indicative of a problematic connection.
Abstract:
Methods and apparatus are directed to geofencing-related heuristics for computing devices. A computing device with a plurality of sensors can receive a plurality of heuristics. Each heuristic can be configured to generate command(s) for the sensors based on one or more heuristic inputs. The heuristic input(s) can include an input related to a geofence. The computing device can receive a plurality of signals from the sensors. The computing device can determine, based on the plurality of signals, an activity class for the computing device. The activity class can specify an activity associated with the computing device. The computing device can select a heuristic from the plurality of heuristics at least based on the activity class. The computing device can execute the selected heuristic to generate the command(s) for the sensors.