Identifying Related Events for Event Ticket Network Systems

• US 20150161529A1
• Filed: 12/09/2013
• Published: 06/11/2015
• Est. Priority Date: 12/09/2013
• Status: Abandoned Application

• Current Assignee: Eventbrite Incorporated (Eventbrite)
• Original Assignee: Eventbrite Incorporated (Eventbrite)
• Inventors: Kondaji, Srinidhi Ramesh, Sharma, Vipul, Henry, Anand Sujith
• Application Number:
  US14/101,191
• Publication Number:
  US 20150161529A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

In one embodiment, a method includes accessing a first event profile of an event-management system associated with a first event and one or more second event profiles of the event-management system associated with one or more second events, respectively. The method also includes determining a first event-vector based on the first event profile and one or more second event-vectors based on the one or more second event profiles, respectively. The method further includes calculating one or more similarity scores for the first event profile with respect to each of the one or more second event profiles, respectively, based on a comparison of the first event-vector with each of the second event-vectors. The method also includes transmitting references to one or more of the second event profiles to a user of the event-management system based on the calculated similarity scores for each second event profile.

Claims

1. A method comprising, by one or more processors associated with one or more computing devices of an event-management system:

accessing, by one or more of the processors, a first event profile of the event-management system associated with a first event and one or more second event profiles of the event-management system associated with one or more second events, respectively;

determining, by one or more of the processors, a first event-vector based on the first event profile and one or more second event-vectors based on the one or more second event profiles, respectively;

calculating, by one or more of the processors, one or more similarity scores for the first event profile with respect to each of the one or more second event profiles, respectively, based on a comparison of the first event-vector with each of the second event-vectors; and

transmitting, by one or more of the processors, references to one or more of the second event profiles to a user of the event-management system based on the calculated similarity scores for each second event profile.

2. The method of claim 1, further comprising:

receiving a request from the user to access a page of the event-management system associated with the first event profile; and

transmitting the page to the user, the page comprising information associated with the first event profile and the references to the one or more second event profiles.

3. The method of claim 2, wherein the page is a webpage associated with the event-management system.

4. The method of claim 2, wherein the page is a user interface of a native application associated with the event-management system.

5. The method of claim 1, wherein determining the first event-vector based on the first event profile and the one or more second event-vectors based on the one or more second event profiles comprises:

accessing an attribute-vector comprising a plurality of attributes; and

determining an event-vector for an event profile by performing a logical operation between the event profile and the attribute-vector.

6. The method of claim 5:

wherein for each event profile the event-vector for the event profile comprises a plurality of attribute-measures, each attribute-measure of the event-vector being associated with an attribute of the attribute-vector; and

wherein determining the event-vector for the event profile by performing the logical operation between the event profile and the attribute-vector comprises;

calculating a term-frequency-inverse-document-frequency (tf-idf) value for an attribute of the attribute-vector with respect to the event profile; and

assigning a value to an attribute-measure associated with the attribute based on the calculated tf-idf value.

7. The method of claim 1, wherein the first event is a prior event.

8. The method of claim 1, wherein the first event is a pending event.

9. The method of claim 1, wherein one or more of the second events are prior events.

10. The method of claim 1, wherein one or more of the second events are pending events.

11. The method of claim 1, further comprising:

accessing an event identifier associated with the first event profile;

determining a sub-set of the one or more second event profiles, wherein the sub-set corresponds to second event profiles having highest similarity scores of the calculated similarity scores;

accessing event identifiers associated with each event profile of the sub-set of second event profiles; and

storing an event list comprising the event identifier for the first event and the event identifiers for the sub-set of second event profiles.

12. The method of claim 11, wherein the event list further comprises similarity scores associated with the sub-set of second event profiles, and further comprising sorting the event list according to the similarity scores.

13. The method of claim 11, further comprising:

removing from the event list an event identifier associated with a second event that has occurred a particular number of days in the past;

accessing one or more new second event profiles that were recently added to the one or more second event profiles of the event-management system;

determining one or more new second event-vectors based on the one or more new second event profiles, respectively;

calculating one or more new similarity scores for the first event profile with respect to each of the one or more new second event profiles, respectively, based on a comparison of the first event-vector with each of the new second event-vectors;

determining a sub-set of the one or more new second event profiles having highest similarity scores of the calculated similarity scores;

accessing event identifiers associated with each event profile of the sub-set of the one or more new second event profiles; and

adding to the event list the event identifiers associated with the sub-set of the one or more new second event profiles.

14. The method of claim 1, wherein the comparison of the first event-vector with each of the second event-vectors comprises calculating a Euclidean distance between the first event-vector and each of the second event-vectors.

15. The method of claim 1, wherein:

the first event-vector and the one or more second event-vectors each comprise a plurality of sub-vectors;

each sub-vector of the first event-vector corresponds to a sub-vector of each of the second event-vectors; and

the comparison of the first event-vector with each of the second event-vectors comprises calculating a weighted sum of distances between each of the corresponding sub-vectors of the first event-vector and each of the second event-vectors, wherein a calculated distance between a sub-vector of the first event-vector and a sub-vector of the second event-vector is based on a Euclidean distance, a cosine similarity, or a Pearson correlation.

16. The method of claim 1, wherein each similarity score is a percentage that indicates an amount of similarity between the first event profile and a second event profile of the one or more second event profiles.

17. The method of claim 1, wherein the one or more of the second event profiles whose references are transmitted to the user correspond to second event profiles with highest similarity scores of the calculated similarity scores.

18. The method of claim 1, wherein an event profile associated with an event comprises one or more of:

a title of the event;

a description or details of the event;

a category or type of the event;

a keyword of the event;

a phrase associated with the event;

an attendee of the event;

an organizer of the event;

a promoter of the event;

a venue of the event;

a venue capacity for the event;

a number of tickets available for the event;

a performer for the event;

a hyperlink to additional information for the event;

a type or class of tickets for the event;

a ticket-selling window for the event;

purchase information for the event;

a ticket price for the event;

a date or time of the event;

a geographic location of the event;

or any combination thereof.

19. A system comprising:

one or more processors; and

a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to;

access a first event profile of an event-management system associated with a first event and one or more second event profiles of the event-management system associated with one or more second events, respectively;

determine a first event-vector based on the first event profile and one or more second event-vectors based on the one or more second event profiles, respectively;

calculate one or more similarity scores for the first event profile with respect to each of the one or more second event profiles, respectively, based on a comparison of the first event-vector with each of the second event-vectors; and

transmit references to one or more of the second event profiles to a user of the event-management system based on the calculated similarity scores for each second event profile.

20. One or more computer-readable non-transitory storage media embodying instructions that are operable when executed to:

access a first event profile of an event-management system associated with a first event and one or more second event profiles of the event-management system associated with one or more second events, respectively;

determine a first event-vector based on the first event profile and one or more second event-vectors based on the one or more second event profiles, respectively;

calculate one or more similarity scores for the first event profile with respect to each of the one or more second event profiles, respectively, based on a comparison of the first event-vector with each of the second event-vectors; and

transmit references to one or more of the second event profiles to a user of the event-management system based on the calculated similarity scores for each second event profile.