System and method for an electronic product advisor

• US 10,108,719 B2
• Filed: 03/14/2011
• Issued: 10/23/2018
• Est. Priority Date: 05/02/2005
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Original Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Inventors: Bedard, Scott, Kasavin, Greg, Andrus, Patrick Cashman
• Primary Examiner(s): Ziegle, Stephanie
• Application Number:
  US13/047,429
• Publication Number:
  US 20110202400A1
• Time in Patent Office: 2,780 Days
• Field of Search: 705 10, 705 26, 705 27
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user'"'"'s product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Claims

1. A computer-implemented method comprising:

receiving, at an advisor server implemented by one or more integrated circuits, user data pertaining to users from a plurality of client devices over a computer network;

receiving, at the advisor server from the plurality of client devices, product data associated with the users, the product data comprising product reviews, product ratings, a first list of products determined as owned by the user, and a second list of products determined by the user as wished-to-be-owned by the user;

profiling, by the advisor server, the users based on the received user data and product data;

providing, by the advisor server, a graphical user interface (GUI) comprising user interface elements for;

searching product data, retrieving product data, reviewing products, rating products, and rating product reviews; and

searching and retrieving lists comprising owned products of other users, wished products of other users, and recommended products of other users, wherein products on each retrieved list that are owned by the retrieving user are highlighted on the retrieved list;

normalizing the first list of a first user based on a standardized product list, the normalizing to reduce a number of database queries generated by the GUI when searching product data relative to a number of database queries generated by the GUI when searching without the normalizing;

calculating a respective similarity percentage between the first list of the first user and each of a plurality of normalized first lists of other users; and

automatically generating, by the advisor server, a ranked list of recommended products that are not on the normalized first list of the first user based on the similarity percentages and a number of instances of the recommended products on the normalized first lists of the other users and at least one of;

product data, reviewed products, rated products, and rated product reviews of the first user with other users.

2. The method of claim 1,

receiving, by a first user interface element of the GUI, input from a first user specifying each of a plurality of other users as friends.

3. The method of claim 1,

receiving, by a second user interface element of the GUI, input from each profiled user to publish a journal.

4. The method of claim 1, further comprising:

rewarding a user as a function of at least one of;

on-line behavior, and rating of reviews by the user to be rewarded.

5. The method of claim 1,

receiving, by a first user interface element of the GUI, input specifying to communicate with other profiled users through at least one of:

e-mail and at least one public forum.

6. The method of claim 1,

providing a first user interface element of the GUI comprising a game.

7. The method of claim 1,

controlling, by a first user interface element of the GUI, access to the profiled user'"'"'s profile and reviews.

8. The method of claim 1,

receiving, by a first user interface element of the GUI, input specifying to publish a customized homepage.

9. The method of claim 8 wherein:

the homepage is customized with a theme based on at least one product from the publishing user'"'"'s owned product list.

10. The method of claim 1, wherein the normalizing changes a name of a first product on the first list of the first user to a standardized name of the first product defined in the standardized product list, wherein generating a ranked list of recommended products comprises:

identifying at least one of;

at least one normalized first list of other users that is similar to the normalized first owned product list of the first user, and

at least one first list of other users having a profile similar to the profile of the first user; and

recommending at least one product not in common between;

the normalized first list of the first user, and

at least one identified normalized first list of other users.

11. The method of claim 1, further comprising:

receiving input acknowledging the standardized name of the first product for inclusion in the normalized first list;

normalizing each of the plurality of first lists of other users;

valuating at least one product associated with a user; and

providing, via the GUI, a user interface element for searching and retrieving valuations for valuated products.

12. The method of claim 1:

wherein receiving data regarding product users and product data associated with each users comprises;

receiving at least one universal product code (UPC) of an associated product.

13. A computer program product comprising a non-transitory computer readable media storing instructions, that when executed by an integrated circuit are operative to:

receive user data pertaining to users from a plurality of client devices over a computer network;

receive, from the plurality of client devices, product data associated with the users, the product data comprising product reviews, product ratings, a first list of products determined as owned by the user, and a second list of products determined by the user as wished-to-be-owned by the user;

profile the users based on the received user data and product data;

provide a graphical user interface (GUI) comprising user interface elements to;

search product data, retrieve product data, review products, rate products, and rate product reviews; and

search and retrieve lists comprising owned products of other users, wished products of other users, and recommended products of other users, wherein products on each retrieved list that are owned by the retrieving user are highlighted on the retrieved list;

normalize the first list of a first user based on a standardized product list, the normalizing to reduce a number of database queries generated by the GUI when searching product data relative to a number of database queries generated by the GUI when searching without the normalizing;

calculate a respective similarity percentage between the first list of the first user and each of a plurality of normalized first lists of other users; and

automatically generate a ranked list of recommended products that are not on the normalized first list of the first user based on the similarity percentages and a number of instances of the recommended products on the normalized first lists of the other users and at least one of;

product data, reviewed products, rated products, and rated product reviews of the first user with other users.

14. The computer program product of claim 13,

receiving, by a first user interface element of the GUI, input from a first user specifying each of a plurality of other users as friends.

15. The computer program product of claim 13,

receiving, by a second user interface element of the GUI, input from each profiled user specifying to publish a journal.

16. The computer program product of claim 13, further comprising:

rewarding a user as a function of at least one of;

on-line behavior, and rating of reviews by the user to be rewarded.

17. The computer program product of claim 13,

receiving, by a first user interface element of the GUI, input specifying to communicate with other profiled users through at least one of:

e-mail and at least one public forum.

18. The computer program product of claim 13,

providing a first user interface element of the GUI comprising a game.

19. The computer program product of claim 13,

controlling, by a first user interface element of the GUI configured access to the profiled user'"'"'s profile and reviews.

20. The computer program product of claim 13,

receiving, by a first user interface element of the GUI, input specifying to publish a customized homepage.

21. The computer program product of claim 20 wherein:

the homepage is customized with a theme based on at least one product from the publishing user'"'"'s owned product list.

22. The computer program product of claim 13, wherein the normalizing changes a name of a first product on the first list of the first user to a standardized name of the first product defined in the standardized product list, wherein generating a ranked list of recommended products comprises:

identifying at least one of;

at least one normalized first list of other users that is similar to the normalized first list of the first user, and

at least one first list of other users having a profile similar to the profile of the first user; and

recommending at least one product not in common between;

the normalized first list of the first user, and

at least one identified normalized first list of other users.

23. The computer program product of claim 13, further comprising:

receiving input acknowledging the standardized name of the first product for inclusion in the normalized first list;

normalizing each of the plurality of first lists of other users;

valuating at least one product associated with a user; and

via the Internet-compatible communication interface, provide, via the GUI, a user interface element for searching and retrieving valuations for valuated products.

24. The computer program product of claim 13:

wherein receiving data regarding product users and product data associated with each users comprises;

receiving at least one universal product code (UPC) of an associated product.