PLATFORM TO INFLUENCE CHANNELIZATION OF CUSTOMIZED INFORMATION TO A USER
Aggregated traveler data may be accessed by subscribers to a content management system. Subscriber data in access requests from one or more subscribers may be used to describe a pool of travelers in the aggregated traveler data that may be concentrated in a geographic location. Location data, temporal data or both, from one or more electronic sources and/or data stores may be processed to determine if a selected traveler will be positioned within a threshold of an allowable distance from an allowable event in the geographic location at a time coincident with an event time window for the allowable event. Selected travelers who meet location and/or temporal parameters may be targeted to receive customized content for events including activities, services, goods, suggestions, and recommendations from subscribers. A subscriber may own a rental property in the geographic location that is rented by a selected traveler.
1 .- 20 . (canceled)
21 . A system comprising:
computer-readable memory storing executable instructions; and
one or more processors in communication with the computer-readable memory, wherein the one or more processors are configured by the executable instructions to at least:
extract, from an access data file, access request data and proprietor data;
verify proprietor access credential data included in the proprietor data;
access, in response to verification of the proprietor access credential data, traveler data regarding a pool of travelers identified by the access request data, wherein individual travelers in the pool of travelers are not within a threshold distance of an event at a present time, and wherein the event is associated with a proprietor represented by the proprietor data;
analyze traveler data for a selected traveler of the pool of travelers, wherein the traveler data for the selected traveler represents a prior location of the selected traveler and a current location of the selected traveler;
determine, based at least partly on analyzing the traveler data for the selected traveler, that the selected traveler is likely to be positioned within a threshold distance of the event during an event time window associated with the event;
generate an event data file comprising data regarding the event; and
generate a transmission regarding the event data file prior to a future time at which the selected traveler is expected to be within the threshold distance of the event.
22 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least receive, from a computing device of the selected traveler, a time coincidence signal indicating that the selected traveler is likely to be positioned within the threshold distance of the event at a time coincident with the event time window.
23 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least:
determine a velocity of a computing device of the selected traveler in a direction towards the event based at least partly on location data and temporal data received from the computing device of the selected traveler; and
determine an estimated time of arrival of the selected traveler within the threshold distance of the event based at least partly on the velocity.
24 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least receive, from a computing device of the selected traveler, a locus entry signal indicating that the selected traveler is positioned within the threshold distance of the event.
25 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least analyze one or more of geo-location data for travelers of the pool of travelers, temporal data for travelers of the pool of travelers, or location history data for travelers of the pool of travelers.
26 . The system of claim 21 , wherein the event relates to one or more of an activity, an item, a service, or a rental property.
27 . The system of claim 21 , wherein a computing device of the selected traveler is configured to at least execute the event data file.
28 . The system of claim 21 , wherein the access data file is generated by a proprietor computing device associated with the proprietor.
29 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least:
extract stay data from the traveler data for the selected traveler, wherein the stay data represents beginning and ending stay dates; and
generate customized content for the event data file based at least partly on the beginning stay date or the ending stay date.
30 . The system of claim 21 , wherein the one or more processors are further configured by the executable instructions to at least determine a concentration of travelers within a locus, wherein the event data file is generated based at least partly on the concentration.
31 . A computer-implemented method comprising:
under control of a computing system comprising one or more computing devices configured to execute specific computer-executable instructions,
extracting, from an access data file, access request data and proprietor data;
verifying proprietor access credential data included in the proprietor data;
accessing, in response to verification of the proprietor access credential data, traveler data regarding a pool of travelers identified by the access request data, wherein individual travelers in the pool of travelers are not within a threshold distance of an event at a present time;
analyzing traveler data for a selected traveler of the pool of travelers, wherein the traveler data for the selected traveler represents a prior location of the selected traveler and a current location of the selected traveler;
determining, based at least partly on analyzing the traveler data for the selected traveler, that the selected traveler is likely to be positioned within a threshold distance of the event during an event time window associated with the event;
generating an event data file comprising data regarding the event; and
generating a transmission regarding the event data file prior to a time at which the selected traveler is expected to be within the threshold distance of the event.
32 . The computer-implemented method of claim 31 , further comprising receiving, from a computing device of the selected traveler, a time coincidence signal indicating that the selected traveler is likely to be positioned within the threshold distance of the event extracted at a time coincident with the event time window.
33 . The computer-implemented method of claim 31 , further comprising:
determining a velocity of a computing device of the selected traveler in a direction towards the event based at least partly on location data and temporal data received from the computing device of the selected traveler; and
determining an estimated time of arrival of the selected traveler within the threshold distance of the event based at least partly on the velocity.
34 . The computer-implemented method of claim 31 , further comprising analyzing one or more of geo-location data for travelers the pool of travelers, temporal data for travelers of the pool of travelers, or location history data for travelers of the pool of travelers.
35 . The computer-implemented method of claim 31 , further comprising:
extracting stay data from the traveler data for the selected traveler, wherein the stay data represents beginning and ending stay dates; and
generating customized content for the event data file based at least partly on the beginning stay date or the ending stay date.
36 . The computer-implemented method of claim 31 , further comprising determining a concentration of travelers within a locus, wherein the event data file is generated based at least partly on the concentration.
37 . Non-transitory computer-readable storage comprising executable instructions that configure a computing system to at least:
extract access request data from an access data file;
access traveler data regarding a pool of travelers identified by the access request data, wherein individual travelers in the pool of travelers are not within a threshold distance of an event at a present time;
determine that a selected traveler of the pool of travelers is expected to be within the threshold distance of the event at a future time based at least partly on an analysis of prior location data associated with the selected traveler and current location data associated with the selected traveler;
generate an event data file for the selected traveler; and
generate a transmission regarding the event data file prior to the future time at which the selected traveler is expected to be within the threshold distance of the event.
38 . The non-transitory computer-readable storage of claim 37 , wherein the executable instructions further configure the computing system to at least:
determine a velocity of a computing device of the selected traveler in a direction towards the event based at least partly on location data and temporal data received from the computing device of the selected traveler; and
determine an estimated time of arrival of the selected traveler within the threshold distance of the event based at least partly on the velocity.
39 . The non-transitory computer-readable storage of claim 37 , wherein the executable instructions further configure the computing system to at least:
extract stay data from the traveler data for the selected traveler, wherein the stay data represents beginning and ending stay dates; and
generate customized content for the event data file based at least partly on the beginning stay date or the ending stay date.
40 . The non-transitory computer-readable storage of claim 37 , wherein the executable instructions further configure the computing system to at least determine a concentration of travelers within a locus, wherein the event data file is generated based at least partly on the concentration.