Abstract: The present invention extends to systems and methods for notifying entities of relevant events. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location information. In general, signal ingestion modules ingest different types of raw signals and normalize the raw signals to form normalized signals. In one aspect, a raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells is formulated. The partially normalized signal is annotated with the location annotation. In another aspect, a location annotation identifying a geo cell is formulated. A partially normalized signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the partially normalized signal to form at fully normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a frame from a raw streaming signal. A preliminary severity or possible event type is computed from the sampled frame. A deeper inspection request is triggered of the raw streaming signal or of another raw streaming signal. Segments of content from the raw streaming signal or the other raw streaming signal are inspected. An actual severity or actual event type is computed from the inspected content. The actual severity or actual event type can be included in a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: A guest management system configured to facilitate the provision of services to guest. A guest's personal computing device, and provided computing devices, are used to request and receive products and services. The services provided may be tacked and scored based on either feedback from guests and/or objective measurements of the performance of service providers. Services are optionally dependent on an automatically determined location of a guest and may include access to third party accounts of the guests.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. In one aspect, an event detection infrastructure determines that characteristics of multiple (and possibly private and/or non-private) signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more (possibly private and/or non-private) signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other (possibly private and/or non-private) signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring.

Abstract: The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a frame from a raw streaming signal. A preliminary severity or possible event type is computed from the sampled frame. A deeper inspection request is triggered of the raw streaming signal or of another raw streaming signal. Segments of content from the raw streaming signal or the other raw streaming signal are inspected. An actual severity or actual event type is computed from the inspected content. The actual severity or actual event type can be included in a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a dimensionally reduced signal, based on characteristics of a dimensionally reduced signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional dimensionally reduced signal.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing ingested signals. In general, different types of raw signals including source data in different pluralities of data dimensions and including other characteristics are ingested. Per raw signal, a transdimensionality transform is applied to recode and normalize the source data into a normalized signal that includes normalized data in a common reduced plurality of dimensions including a time dimension, a location dimension, and a context dimension. Normalization can include inferring signal annotations from the source data and using the annotations and/or the other characteristics to derive time, location, and context dimensions. Derivation can include computing a probability of a real-world event and including the probability in the context dimension. An real-world event is detection from the normalized data in the time, location, and context dimensions and an entity is notified of the real-world event.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to methods, systems, and computer program products for notifying entities of relevant events. An event feed containing a plurality of events is received. Each event includes an event location, an event category, an event an event truthfulness, an event severity, and an event time. Entity notification preferences defining events relevant to an entity are accessed. Location and distance preferences collectively define an interest in events within a specified distance of one or more locations. The time preferences define that event notification occur at least within a specified time period of event detection. For an event in the event feed, characteristics of the event are compared to the entity notification preferences. It is determined that the event satisfies the entity notification preferences based on the comparisons. The entity (or another entity) is notified of the event in compliance with the time preferences.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to methods, systems, and computer program products for notifying entities of relevant events. An event feed containing a plurality of events is received. Each event includes an event location, an event category, an event an event truthfulness, an event severity, and an event time. Entity notification preferences defining events relevant to an entity are accessed. Location and distance preferences collectively define an interest in events within a specified distance of one or more locations. The time preferences define that event notification occur at least within a specified time period of event detection. For an event in the event feed, characteristics of the event are compared to the entity notification preferences. It is determined that the event satisfies the entity notification preferences based on the comparisons. The entity (or another entity) is notified of the event in compliance with the time preferences.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a normalized signal, based on characteristics of a normalized signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a frame from a raw streaming signal. A preliminary severity or possible event type is computed from the sampled frame. A deeper inspection request is triggered of the raw streaming signal or of another raw streaming signal. Segments of content from the raw streaming signal or the other raw streaming signal are inspected. An actual severity or actual event type is computed from the inspected content. The actual severity or actual event type can be included in a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location from signal content. In general, signal ingestion modules ingest different types of raw structured and/or raw unstructured signals on an ongoing basis. The signal ingestion modules normalize raw signals to form normalized signals. In one aspect, a raw signal is ingested. A derived signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells is formulated. The derived signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the derived signal forming a normalized signal.