PERSONALIZED TICKET EXCHANGE
Embodiments of the present disclosure are related to electronic commerce. A method may include identifying a user of an online marketplace. The method may also include accessing data associated with the user including at least one of historical data, location data, and user defined data. Further, the method may include providing the user with at least one ticket option including at least one recommended ticket for at least one event based on the data associated with the user.
1 . A system, comprising:
at least one processing element configured to:
identify a user of an online marketplace;
determine at least one ticket option including at least one potential ticket for at least one event based on user data associated with the user; and
provide the at least one ticket option to the user.
2 . The system of claim 1 , where the user data comprises at least one of user defined data, historical data for the user, and location data for the user.
3 . The system of claim 2 , wherein the historical data comprises at least one of purchasing history data and browsing history data for the user.
4 . The system of claim 2 , wherein the user defined data comprises seating preferences for the user.
5 . The system of claim 1 , wherein the at least one processing element is further configured to group the user into a group of a plurality of groups based on the user data.
6 . The system of claim 5 , wherein the at least one processing element is further configured to group the user into a best match group of the plurality of groups.
7 . The system of claim 1 , wherein the at least one processing element is further configured to identify one or more ticket packages to be included in the at least one ticket option.
8 . A method, comprising:
receiving at least one ticket request to at least one event from a user;
identifying at least one ticket option including one or more potential tickets for the event based on the at least one ticket request and user data; and
providing the at least one ticket option to the user.
9 . The method of claim 8 , wherein providing comprises providing the at least one ticket option including a prioritized list of recommended tickets to the user.
10 . The method of claim 8 , further comprising accessing the user data including at least one of user defined data, historical data for the user, and location data for the user.
11 . The method of claim 8 , further comprising identifying one or more ticket packages to be included in the at least one ticket option.
12 . The method of claim 8 , wherein identifying comprises identifying the at least one ticket option including one or more potential tickets for the event based on the at least one ticket request and at least one of historical data for the user and location data for the user.
13 . The method of claim 12 , wherein identifying the at least one ticket option for the event comprises identifying the at least one ticket option for the event based on the historical data including at least one of purchasing history data and browsing history data for the user.
14 . The method of claim 12 , wherein identifying the at least one ticket option for the event based on the historical data comprises identifying the at least one ticket option for the event based on one or more tickets previously purchased by the user.
15 . The method of claim 8 , wherein identifying the at least one ticket option for the event comprises identifying the at least one ticket option for the event based on a location of the user.
16 . One or more non-transitory computer-readable media storing one or more programs that are configured, when executed, to cause one or more machines to execute the method as recited in claim 8 .
17 . A method, comprising:
identifying a user of an online marketplace;
accessing data associated with the user including at least one of historical data, location data, and user defined data; and
providing the user with at least one ticket option including at least one potential ticket for at least one event based on the data associated with the user.
18 . The method of claim 17 , wherein identifying a user comprises identifying the user as being grouped in a best match group.
19 . The method of claim 17 , wherein accessing data comprises accessing historical data including at least one of purchasing history for the user and browsing history for the user.
20 . One or more non-transitory computer-readable media storing one or more programs that are configured, when executed, to cause one or more machines to execute the method as recited in claim 17 .