System, process and software arrangement for providing multidimensional recommendations/suggestions

• US 8,924,264 B2
• Filed: 08/03/2012
• Issued: 12/30/2014
• Est. Priority Date: 02/12/2001
• Status: Expired due to Term

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Tuzhilin, Alexander, Adomavicius, Gediminas
• Primary Examiner(s): Ly, Cheyne D
• Application Number:
  US13/566,695
• Publication Number:
  US 20120303569A1
• Time in Patent Office: 879 Days
• Field of Search: 705/26.7, 707/600, 707/754, 707/768
• US Class Current: 705/26.7
• CPC Class Codes: G06F 16/244 Grouping and aggregation
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.

Claims

1. A method, comprising:

by a server computing device, receiving requests sent using an API for multidimensional data, wherein the multidimensional data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein;

at least one first dimension corresponds to a user profile;

at least one second dimension corresponds to products;

at least one third dimension corresponds to time and

at least one fourth dimension corresponds to places;

by a server computing device, retrieving information from at least each of the first, second, third, and fourth dimensions of the multidimensional space;

by a server computing device, generating at least one recommendation based at least on the data retrieved from the first, second, third, and fourth dimensions; and

by a server computing device, sending, using the API, the at least one recommendation in response to the request.

2. The method of claim 1, further comprising:

by a server computing device, defining the API based on the at least four dimensions of the multidimensional space.

3. The method of claim 1, wherein the multidimensional data comprises data received from an external source or from a user.

4. The method of claim 3, wherein the multidimensional data further comprises data estimated based on the data received from an external source or from a user.

5. The method of claim 1, wherein the user profile comprises static characteristics.

6. The method of claim 5, wherein the static characteristics comprise factual information relating to the respective dimension, the factual information comprising fields, variables, records, or any combination thereof.

7. The method of claim 1, wherein the user profile comprises dynamic characteristics.

8. The method of claim 7, wherein the dynamic characteristics comprise at least one set of rules capturing behavior characteristics of a user.

9. The method of claim 7, wherein the dynamic characteristics comprise at least one set of sequences capturing behavior characteristics of a user.

10. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

receive, at one or more computer servers, requests sent using an API for multidimensional data, wherein the multidimensional data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein;

at least one first dimension corresponds to a user profile;

at least one second dimension corresponds to products;

at least one third dimension corresponds to time and

at least one fourth dimension corresponds to places;

retrieve, by one or more processors associated with the one or more computer servers, information from at least each of the first, second, third, and fourth dimensions of the multidimensional space;

generate, by the one or more processors, at least one recommendation based at least on the data retrieved from the first, second, third, and fourth dimensions; and

send, by the one or more processors, using the API, the at least one recommendation in response to the request.

11. The media of claim 10, further comprising software that is operable when executed to:

define the API based on the at least four dimensions of the multidimensional space.

12. The media of claim 10, wherein the user profile comprises static characteristics including factual information relating to the respective dimension, the factual information comprising fields, variables, records, or any combination thereof.

13. The media of claim 10, wherein the user profile comprises dynamic characteristics including at least one set of rules capturing behavior characteristics of a user.

14. The media of claim 10, wherein the user profile comprises dynamic characteristics including at least one set of sequences capturing behavior characteristics of a user.

15. A system comprising:

one or more processors associated with one or more computer servers; and

a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to;

receive requests sent using an API for multidimensional data, wherein the multidimensional data is associated with at least part of a multidimensional space having at least four dimensions, each dimension having a plurality of attributes characterizing the dimension, each attribute being capable of providing variable information, wherein;

at least one first dimension corresponds to a user profile;

at least one second dimension corresponds to products;

at least one third dimension corresponds to time and

at least one fourth dimension corresponds to places;

information from at least each of the first, second, third, and fourth dimensions of the multidimensional space;

generate at least one recommendation based at least on the data retrieved from the first, second, third, and fourth dimensions; and

send, using the API, the at least one recommendation in response to the request.

16. The method of claim 1, wherein each dimension comprises a table comprising a plurality of records.

17. The method of claim 1, wherein generating at least one recommendation based on the retrieved information comprises generating, for presentation to a user corresponding to the user profile, at least one recommendation based on the retrieved information.

18. The method of claim 1, wherein the at least one fourth dimension corresponding to places comprises at least one fourth dimension corresponding to one or more geographic locations.

19. The method of claim 1, wherein the at least one fourth dimension corresponding to places comprises at least one fourth dimension corresponding to one or more businesses.

20. The method of claim 1, wherein the at least one third dimension corresponding to time comprises at least one third dimension identifying one or more:

timestamps;

times of day;

days;

weeks;

months;

years;

or

periods of time.