Search Methods and Systems Utilizing Social Graphs as Filters

• US 20110035329A1
• Filed: 03/18/2010
• Published: 02/10/2011
• Est. Priority Date: 08/07/2009
• Status: Abandoned Application

• Current Assignee: Alikelist, Inc.
• Original Assignee: Alikelist, Inc.
• Inventors: McConachie, Michael, Delli Santi, James W.
• Application Number:
  US12/727,172
• Publication Number:
  US 20110035329A1
• Time in Patent Office: Days
• US Class Current: 705/347
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A search method and system that accesses a preference data base established by users of the system. The users may not be required to rate businesses they enter into the data base. The entry of the business into the data base constitutes an endorsement of (a “vote” for) the business. A searching party may establish a social filter to narrow the focus of searches performed.

Claims

1. A method of computer based searching, the method comprising:

establishing a preference data base by an application stored on a server and executed by a processor, the preference data base including preference data for one or more users;

receiving one or more search criteria from a searching party;

selecting candidate businesses from the preference data base based on a correlation between the search criteria and identifying data stored in the preference data base and associated with the candidate businesses; and

filtering the candidate businesses using criteria designated by the searching party.

2. The method of claim 1, wherein filtering the candidate businesses includes designating a social graph that includes at least one of the one or more users, preferences of the at least one of the one or more users included in the social graph being used to rank the candidate businesses.

3. The method of claim 1, wherein filtering the candidate businesses includes designating a social graph that includes a group of users predefined by the searching party, preferences of the group of users included in the social graph being used to rank the candidate businesses.

4. The method of claim 3, wherein designating a social graph includes selecting users according to a degree of relation to the searching party.

5. The method of claim 3, wherein designating a social graph includes selecting users according to one or more characteristics of the users.

6. The method of claim 2, wherein designating a social graph includes weighting the preferences of the users designated by the searching party.

7. The method of claim 6, wherein weighting the preferences includes considering a degree of relationship between the searching party and the user that established the preference, the weighting being proportional to the degree of relationship.

8. The method of claim 6, wherein weighting the preferences includes considering characteristics of the users that established the preferences.

9. The method of claim 2, wherein designating a social graph includes importing data from a third party service.

10. The method of claim 1, further comprising storing information input by users in a storage medium accessible by the application.

11. The method of claim 10, wherein storing information includes storing preferences of one or more users.

12. A system for computer based searching, the system comprising:

a memory device including a data base configured to store entries relative to one or more businesses, each of the entries including identifying data for one of the businesses, and each entry being associated with a user of the system; and

a processor configured to execute instructions stored in memory to;

establish a preference data base to store preferences of users of the system,

receive one or more search criteria from a searching party,

select candidate businesses from the preference data base based on a correlation between identifying data associated with the candidate businesses and the search criteria, and

filter the candidate businesses using criteria designated by the searching party.

13. The system of claim 12, wherein the processor filters the candidate businesses using a social graph designated by the searching party, the social graph including one or more users of the system, preferences of the users included in the social graph being used to rank the candidate businesses.

14. The system of claim 12, wherein the processor filters the candidate businesses using a social graph designated by the searching party, the social graph including a group of users predefined by the searching party, preferences of the group of users included in the social graph being used to rank the candidate businesses.

15. The system of claim 14, wherein the social graph includes users selected according to a degree of relation to the searching party.

16. The system of claim 14, wherein the social graph includes users selected according to one or more characteristics of the users.

17. The system of claim 13, wherein preferences of the users in the social graph are variably weighted.

18. The system of claim 17, wherein preferences of the users in the social graph are weighted according to a degree of relationship between the searching party and the user that established the preference.

19. The system of claim 17, wherein preferences of the users in the social graph are weighted according to characteristics of the users that established the preferences.

20. The system of claim 12, further comprising a web-based storage medium to store information input by users of the system.

21. The system of claim 20, wherein the stored information includes preferences of one or more users.

22. The system of claim 12, wherein the processor filters the candidate businesses using a social graph designated by the searching party, the social graph including entities chosen from a third party service.