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US Patent 12117984 Systems and methods for event tracking

Patent 12117984 was granted and assigned to BLACK CAPE, INC. on October, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
BLACK CAPE, INC.
BLACK CAPE, INC.
1
Current Assignee
BLACK CAPE, INC.
BLACK CAPE, INC.
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
121179841
Patent Inventor Names
Abraham Usher1
Evan Plumley1
Justin Toman1
Daniel Perez1
Johanna Song1
Michael Conaway1
Samuel Stowers1
Adam Gribble1
Date of Patent
October 15, 2024
1
Patent Application Number
187730291
Date Filed
July 15, 2024
1
Patent Citations
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US Patent 8935487 Fast and low-RAM-footprint indexing for data deduplication
1
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US Patent 8965901 System and method for determining exact location results using hash encoding of multi-dimensioned data
1
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US Patent 9300471 Information processing apparatus, information processing method, and program
1
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US Patent 9646036 System and method for determining exact location results using hash encoding of multi-dimensioned data
1
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US Patent 10572465 System and method for determining exact location results using hash encoding of multi-dimensioned data
1
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US Patent 10984044 Identifying buckets for query execution using a catalog of buckets stored in a remote shared storage system
1
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US Patent 11249999 Memory efficient searching
1
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US Patent 11514014 Staggered merging in log-structured merge forests
1
...
Patent Primary Examiner
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Hanh B Thai
1
CPC Code
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G06F 16/2423
1
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G06F 16/2455
1
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G06F 16/2228
1
Patent abstract

The present system pertains to event tracking, involving the acquisition of event information, generation of compound hashes, and formation of a search data structure. Event information includes time-and-geolocation data and topic data for each event. Compound hashes, comprising a spacetime hash and a topic hash for each event, are generated based on this information. A search data structure is formed using these compound hashes, enabling the grouping of spacetime hashes and structuring of topic hashes. Upon receiving a query, the system executes a search based on the query's compound hash or parameters, returning matching event content. The system can also generate semantic descriptions of relevant events using a narrative generation model and predict event relevance using a preferential learning model.

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