Apparatus, method and article to facilitate matching of clients in a networked environment

• US 9,672,289 B1
• Filed: 07/23/2014
• Issued: 06/06/2017
• Est. Priority Date: 07/23/2013
• Status: Active Grant

• Current Assignee: Plentyoffish Media ULC (Match Group, Inc.)
• Original Assignee: Plentyoffish Media ULC (Match Group, Inc.)
• Inventors: Frind, Markus, Oldridge, Steve, Faltus, Jesse Lee
• Primary Examiner(s): CHANG, LI WU
• Application Number:
  US14/339,328
• Time in Patent Office: 1,049 Days
• Field of Search: None
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 3/04845 for image manipulation, e.g. dragging, rotation, expansion or change of colour
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.

Claims

1. A method of operation in a matching service system of a matching service, the matching service system having at least one processor, at least one nontransitory processor-readable medium communicatively coupled to the at least one processor, and a number of communications ports communicatively coupled to the at least one processor which provide communications with a plurality of end user devices, the end user devices logically associable with a plurality of end user client accounts of the matching services, the end user client accounts logically associable with end user clients of the matching service, the method comprising:

for each of a number of respective end user clients, identifying a plurality of potential candidates, each of the potential candidates associated with a value indicative of a quality of a match between the respective potential candidate and the respective end user client;

for each of at least two of the potential candidates, determining a size for a respective graphical object based on the respective quality of match between the respective potential candidate and the respective end user client, wherein the graphical objects are windows and determining a size for a respective graphical object includes determining the size of the window based at least in part on an assessment of the quality of a match between the respective potential candidate and the respective end user client, and determining the size of the window based at least in part on an assessment of the quality of a match between the respective potential candidate and the respective end user client includes selecting a diagonal dimension of the respective window from at least three sizes, the diagonal dimension for higher quality matches larger than the diagonal dimension for lower quality matches; and

causing a presentation to the respective end user client of at least two of the graphical objects at the determined size.

2. The method of claim 1 wherein determining a size for a respective graphical object based on the respective quality of a match between the respective potential candidate and the respective end user client includes determining the size to provide a visual indication of an assessed relative rank or relative degree of a match between the respective potential candidate and the respective end user client.

3. The method of claim 1 wherein the graphical objects are pictures of the respective potential candidates.

4. The method of claim 1, further comprising:

for at least some of the graphical objects, including a picture of the respective potential candidate for display to the respective end user.

5. The method of claim 1, further comprising:

for at least some of the graphical objects, including a textual description associated with the respective potential candidate for display to the respective end user.

6. The method of claim 1, further comprising:

normalizing the values associated with the potential candidates; and

grouping the normalized values into at least two size categories.

7. The method of claim 1 wherein causing a presentation to the respective end user client of at least two of the graphical objects at the determined size includes causing the concurrent presentation of at least three graphical objects, each corresponding to a respective one of at least three different potential candidates.

8. The method of claim 1 wherein causing a presentation to the respective end user client of at least two of the graphical objects at the determined size includes forwarding the graphical object to the end user device associated with the respective end user client, each graphical object including a hyperlink specific to the respective potential candidate.

9. The method of claim 1, further comprising:

determining which of the plurality of potential matching end user clients to recommend to the respective end user client based at least in part on an assessed likelihood of response.

10. A matching service system, comprising:

a number of communications ports which provide communications with a plurality of end user devices, the end user devices logically associable with a plurality of end user client accounts of the matching services, the end user client accounts logically associable with end user clients of the matching service;

at least one nontransitory processor-readable medium that stores at least one of processor executable instructions or data; and

at least one processor communicatively coupled to the communications ports and at least one nontransitory processor-readable medium, and that;

for each of a number of respective end user clients, identifies a plurality of potential candidates, each of the potential candidates associated with a value indicative of a quality of a match between the respective potential candidate and the respective end user client;

for each of at least two of the potential candidates, determines a size for a respective graphical object based on the respective quality of potential match between the respective potential candidate and the respective end user client, wherein the graphical objects are windows and the at least one processor determines the size of the window based at least in part on an assessment of the quality of a match between the respective potential candidate and the respective end user client, and the at least one processor selects a diagonal dimension of the respective window from at least three sizes, the diagonal dimension for higher quality matches larger than the diagonal dimension for lower quality matches; and

causes a presentation to the respective end user client of at least two of the graphical objects at the determined size.

11. The matching service system of claim 10 wherein the at least one processor determines the size to provide a visual indication of an assessed relative rank or relative degree of match between the respective potential candidate and the respective end user client.

12. The matching service system of claim 10 wherein the graphical objects are windows and the at least one processor determines the size of the window based at least in part on an assessment of the quality of match between the respective potential candidate and the respective end user client.

13. The matching service system of claim 10 wherein the graphical objects are pictures of the respective potential candidates.

14. The matching service system of claim 10 wherein the at least one processor further:

for at least some of the graphical objects, includes a picture of the respective potential candidate for display to the respective end user and a hyperlink that is specific to the respective potential candidate.

15. The matching service system of claim 10 wherein the at least one processor further:

for at least some of the graphical objects, includes a textual description associated with the respective potential candidate for display to the respective end user.

16. The matching service system of claim 10 wherein the at least one processor further:

normalizes the values associated with the potential candidates; and

groups the normalized values into at least two size categories.

17. The matching service system of claim 10 wherein the at least one processor causes the concurrent presentation of at least three graphical objects, each corresponding to a respective one of at least three different potential candidates.

18. The matching service system of claim 10 wherein the at least one processor forwards the graphical object to the end user device associated with the respective end user client, each graphical object including a hyperlink specific to the respective prospective candidate in order to cause causing the presentation to the respective end user client.

19. A method of causing presentation of a visually perceptible ranking of potential candidates, the method comprising:

identifying a set of potential candidates, each of the potential candidates having a respective associated value indicative of an assessed suitability as a potential candidate for a first end user client;

for each of a plurality of the potential clients, determining at least one dimension of a respective representative graphical object based at least in part on the associated value of the respective potential candidate;

causing a presentation of the graphical objects at the respective determined dimensions in at least one window; and

for at least the first end user client,

identifying at least one recipient end user client who the first end user client has messaged;

identifying a number of comparative end user clients who have also messaged the at least one recipient end user client;

identifying at least one other recipient end user client who at least one of the comparative end user clients has also messaged; and

recommending the at least one other recipient end user client to the first end user client.

20. The method of claim 19 wherein identifying a number of comparative end user clients who have also messaged the at least one recipient end user client includes performing a single value decomposition.

21. The method of claim 19 wherein identifying at least one other recipient end user client who at least one of the comparative end user clients has also messaged includes identifying at least one other recipient end user client based at least in part on a total number of comparative end user clients who have messaged the same at least one other recipient end user client.

22. The method of claim 19 wherein identifying at least one other recipient end user client who at least one of the comparative end user clients has also messaged includes identifying at least one other recipient end user client based at least in part on an evaluation of a likelihood that the at least one other recipient end user client will reply.