PLATFORM TO INFLUENCE CHANNELIZATION OF CUSTOMIZED INFORMATION TO A USER

• US 20190042064A1
• Filed: 07/23/2018
• Published: 02/07/2019
• Est. Priority Date: 12/05/2014
• Status: Abandoned Application

• Current Assignee: HomeAway.com, Inc. (Expedia Group, Inc.)
• Original Assignee: HomeAway.com, Inc. (Expedia Group, Inc.)
• Inventors: Turner, Ryan Hedley, Haligas, Daniel Steven, Venugopal, Velayudhan, Devine, Alex Holm
• Application Number:
  US16/042,244
• Publication Number:
  US 20190042064A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: G06Q 10/025 Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0645 Rental transactions; Leasing transactions
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: G06Q 50/14 Travel agencies
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

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.

Claims

1-20. -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.