SOCIAL RANKING FOR ONLINE COMMERCE SELLERS

• US 20130085844A1
• Filed: 10/04/2011
• Published: 04/04/2013
• Est. Priority Date: 10/04/2011
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: NEYSTADT, Eugene (John), Karidi, Ron, Oron, Avigad, Vainstein, Maxim
• Application Number:
  US13/252,213
• Publication Number:
  US 20130085844A1
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Online sellers may be ranked based on feedback given by people trusted by an individual user. The user may trust people in their social networks, as well as people who may be experts in a particular field, and the seller'"'"'s ranking may be calculated by weighting reviews or feedback from trusted people higher than people unknown to the user. When used with a social campaign management system, ranking of products from multiple online sellers may include coupons or incentives that are available through the user'"'"'s social network, as well as discounts or incentives that may be targeted to the user'"'"'s status within their own social network.

Claims

1. A system comprising:

a social network database comprising relationships between users, at least some of said users being identified as social influencers;

a ranking system operable on at least one processor that;

receives a product identifier being searched by a user;

performs a search for said product identifier to retrieve a list of products from a plurality of sellers;

for said user, identifies a plurality of social influencers within said user'"'"'s social network by analyzing said social network database;

ranks said sellers based on feedback provided by said social influencers to create a ranked list of sellers, said ranked list of sellers being specific to said user;

presents search results sorted at least in part by said ranked list of sellers.

2. The system of claim 1 further comprising:

a social network analyzer that;

analyzes a social network to identify users and relationships between users; and

identifies social influencers within said social network.

3. The system of claim 2, said social network analyzer that further:

identifies a first type of social influencer having a high degree of activity within said social network; and

identifies a second type of social influencer having a high degree of expertise in at least one field.

4. The system of claim 1 further comprising:

a social marketing campaign manager that;

identifies existing marketing campaigns for said product identifier; and

adds information about said existing marketing campaigns to said search results.

5. The system of claim 4, said information comprising offers promoted by a member of said user'"'"'s social network.

6. The system of claim 4, said information comprising offers promoted by one of said sellers.

7. The system of claim 6, said offers being determined by classifying said user into one of said types of social influencers.

8. The system of claim 7, said offers being at least one of financial and non-financial incentives.

9. The system of claim 8, said offers comprising incentives to share information within a social network.

10. The system of claim 9, said information being shared being information about a first seller.

11. The system of claim 1, said product identifier being an identifier for a class of products.

12. The system of claim 1, said product identifier being an identifier for a specific product.

13. The system of claim 1, said social network database comprising relationships from a plurality of online social networks.

14. The system of claim 13, at least one of said online social networks being an informal online social network.

15. A method comprising:

receiving a product identifier being searched by a user;

searching for said product identifier from a plurality of sellers to generate a first set of search results;

for each of said plurality of sellers, determining a set of feedback from social network users;

searching a social network database comprising social influencers to determine a ranked list of social influencers for said user;

ranking said set of feedback based on said ranked list of social influencers for said user to create a ranked list of feedback;

ranking said sellers based on said ranked list of feedback; and

presenting said first list of search results sorted according to said ranked list of feedback.

16. The method of claim 15, said ranked list of social influencers comprising social influencers having a strong relationship with said user in at least one online social network.

17. The method of claim 16, said ranked list of social influencers comprising social influencers having a high degree of expertise for said product identifier.

18. A social campaign management system comprising:

a social network database comprising relationships between users, at least some of said users being identified as social influencers;

a database comprising marketing campaigns comprising incentives offered to users based on user'"'"'s online activities, said marketing campaigns being offered by online sellers;

a ranking system operable on at least one processor that;

receives a product identifier being searched by a user, said user entering a search aggregating results from a plurality of online sellers;

performs a search for said product identifier to retrieve a list of products from said plurality of online sellers;

for said user, identifies plurality of social influencers within said user'"'"'s social network by analyzing said social network database;

ranks said sellers based on feedback provided by said social influencers to create a ranked list of said online sellers, said ranked list of online sellers being specific to said user;

presents search results sorted at least in part by said ranked list of said online sellers; and

presents at least one of said incentives provided by a first online seller to said user.

19. The social campaign management system of claim 18, said ranking system that further:

identifies said user as a user for which a non-financial incentive is targeted, said incentive being a non-financial incentive.

20. The social campaign management system of claim 19, said ranking system that further:

identifies at least one incentive provided by a first online user having a social network relationship to said user; and

presents said at least one incentive to said user.