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.

Abstract: A system is provided for selectively implementing an electronic transaction based on proximity detection of a user device. The electronic transaction includes primary parameters in the form of the user device being within a distance of a location by a predefined time, and secondary parameters in the form of a bid amount and a bid recipient. The system includes a central server and the user device having a UI configured to receive secondary parameters and being in communication with the central server. The user device further includes a location module for selective location tracking of the user device by the central server. Primary and secondary parameters are transmitted to the central server and the central server conditionally pre-authorizes the electronic transaction such that if the primary parameters are not met, the electronic transaction is implemented based on the secondary parameters.