Automatic user matching in an online environment

• US 20070156664A1
• Filed: 03/09/2007
• Published: 07/05/2007
• Est. Priority Date: 07/06/2005
• Status: Abandoned Application

• Current Assignee: Cloudian, Inc.
• Original Assignee: Cloudian, Inc.
• Inventors: Norton, Joseph, Ogasawara, Gary, Ishida, Shoji, O'Dowd, Thomas, Kamakura, Takuya
• Application Number:
  US11/716,222
• Publication Number:
  US 20070156664A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A63F 13/12 involving interaction between a plurality of game devices, e.g. transmisison or distribution systems protocols for networked virtual reality, networked games H04L29/06034
• CPC Class Codes: A63F 13/30 Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
• CPC Class Codes: A63F 13/332 using wireless networks, e.g. cellular phone networks
• CPC Class Codes: A63F 13/795 for finding other players; for building a team; for providing a buddy list
• CPC Class Codes: A63F 13/798 for assessing skills or for ranking players, e.g. for generating a hall of fame computing the game score A63F13/46
• CPC Class Codes: A63F 2300/204 the platform being a handheld device
• CPC Class Codes: A63F 2300/5546 using player registration data, e.g. identification, account, preferences, game history
• CPC Class Codes: A63F 2300/556 Player lists, e.g. online players, buddy list, black list
• CPC Class Codes: A63F 2300/5566 by matching opponents or finding partners to build a team, e.g. by skill level, geographical area, background, play style
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/131 Protocols for games, networked simulations or virtual reality
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 8/18 Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Abstract

A subject user may be automatically matched to one or more other users in an online resource-limited environment. In one embodiment, a multi-user online environment is accessed using a resource-limited device operated by the subject user. A pool of candidates from the available online users may then be generated based on their proximity in the online environment to the subject user. The various candidates within this pool may then be ranked based on a comparison of user profile matching criteria. Candidates may then be selectively added to the subject user'"'"'s interaction group, which in one embodiment represents the set of online users which will be “seen” or otherwise available to the subject user for possible interaction.

Claims

1. A method of user matching in an online environment comprising the acts of:

performing a proximity user search based on a predetermined search parameter of a subject user;

identifying a plurality of candidates based on the proximity user search;

ranking the plurality of candidates based on one or more profile matching criteria of the subject user; and

matching, according to said ranking, at least one of the plurality of candidates to the subject user.

2. The method of claim 1, further comprising the act of providing access to the online environment over a network for a resource-limited device of the subject user.

3. The method of claim 1, wherein the predetermined search parameter is representative of a distance within the online environment measured from the subject user.

4. The method of claim 1, wherein the profile matching criteria include one or more of age, gender, interests, habits, personality, inclusion on a block list, inclusion on a buddy list, historical interaction data, physical appearance data and familial data.

5. The method of claim 4, wherein ranking the plurality of candidates comprises comparing one or more profile matching criteria of the subject user to corresponding profile matching criteria for the plurality of candidates.

6. The method of claim 1, wherein matching comprises adding, in accordance with said ranking, at least one of the plurality of candidates to an interaction group of the subject user.

7. The method of claim 6, wherein adding comprises adding, in accordance with said ranking, at least some of the plurality of candidates up to a predetermined member maximum for the interaction group of the subject user.

8. The method of claim 6, further comprising the act of splitting the interactive group into two or more subgroups, each having a center, wherein said splitting is based on a relative distance between said centers.

9. An online environment server comprising:

a network interface configured to connect the server to a wireless network;

a processor electrically coupled to the network interface; and

a memory electrically coupled to the processor, the memory containing processor-executable instructions implementing an online environment, the server configured to;

perform a proximity user search based on a predetermined search parameter of a subject user,

identify a plurality of candidates based on the proximity user search,

rank the plurality of candidates based on one or more profile matching criteria of the subject user, and

match, according to said ranking, at least one of the plurality of candidates to the subject user.

10. The server of claim 9, wherein the subject user accesses said online environment using a resource-limited device.

11. The server of claim 9, wherein the predetermined search parameter is representative of a distance within the online environment measured from the subject user.

12. The server of claim 9, wherein the profile matching criteria include one or more of age, gender, interests, habits, personality, inclusion on a block list, inclusion on a buddy list, historical interaction data, physical appearance data and familial data.

13. The server of claim 12, wherein the plurality of candidates are ranked by comparing one or more profile matching criteria of the subject user to corresponding profile matching criteria for the plurality of candidates.

14. The server of claim 9, wherein the at least one of the plurality of candidates are matched by being added to an interaction group of the subject user.

15. The server of claim 14, wherein the at least one of the plurality of candidates are added to the interaction group up to a predetermined member maximum for the interaction group of the subject user.

16. The server of claim 14, wherein the memory further contains processor-executable instructions to split the interactive group into two or more subgroups, each having a center, based on a relative distance between said centers.

17. A computer program product comprising:

a processor readable medium having processor executable program code embodied therein for user matching in an online environment, the processor executable program code including;

processor executable program code to perform a proximity user search based on a predetermined search parameter of a subject user,

processor executable program code to identify a plurality of candidates based on the proximity user search,

processor executable program code to rank the plurality of candidates based on one or more profile matching criteria of the subject user, and

processor executable program code to match, according to said ranking, at least one of the plurality of candidates to the subject user.

18. The computer program product of claim 17, wherein the processor executable program code further comprises processor executable program code to provide the subject user with access to the online environment over a wireless network using a resource-limited device.

19. The computer program product of claim 17, wherein the predetermined search parameter is representative of a distance within the online environment measured from the subject user.

20. The computer program product of claim 17, wherein the profile matching criteria include one or more of age, gender, interests, habits, personality, inclusion on a block list, inclusion on a buddy list, historical interaction data, physical appearance data and familial data.

21. The computer program product of claim 20, wherein the processor executable program code to rank the plurality of candidates comprises processor executable program code to compare one or more profile matching criteria of the subject user to corresponding profile matching criteria for the plurality of candidates.

22. The computer program product of claim 17, wherein processor executable program code to match comprises processor executable program code to add, in accordance with a candidate ranking, at least one of the plurality of candidates to an interaction group of the subject user.

23. The computer program product of claim 22, wherein the processor executable program code to add comprises processor executable program code to add at least one of the plurality of candidates up to a predetermined member maximum for the interaction group of the subject user.

24. The computer program product of claim 22, further comprising processor executable program code to split the interactive group into two or more subgroups, each having a center, based on a relative distance between said centers.

25. A handheld electronic device operable by a subject user and configured to communicate with an online environment server over a wireless network, the electronic device comprising:

a memory containing processor-executable instructions implementing an online environment application client for accessing an online environment; and

a processor electrically coupled to the memory, the processor configured to execute the application client to;

provide location information to the online environment server representative of a current location within the online environment, wherein the current location is usable to perform a proximity user search, based on a predetermined search parameter, to identify a plurality of candidates in proximity to the subject user, and

receive data representative of an interaction group for the subject user, wherein the interaction group includes at least one of the plurality of candidates that have been matched to the subject user in an order based on one or more profile matching criteria of the subject user.

26. The handheld electronic device 25, wherein the predetermined search parameter is representative of a distance within the online environment measured from the subject user.

27. The handheld electronic device 25, wherein the profile matching criteria include one or more of age, gender, interests, habits, personality, inclusion on a block list, inclusion on a buddy list, historical interaction data, physical appearance data and familial data.

28. The handheld electronic device 26, wherein said ranking comprises a comparison of the one or more profile matching criteria of the subject user to corresponding profile matching criteria for the plurality of candidates.