EXPLORATION OF ITEM CONSUMPTION BY CUSTOMERS

• US 20110131202A1
• Filed: 12/02/2009
• Published: 06/02/2011
• Est. Priority Date: 12/02/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kraus, Naama, Eiron, Iris, Cohen, Doron, Konopnicki, David
• Application Number:
  US12/629,057
• Publication Number:
  US 20110131202A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method, system and computer program product for exploration of item consumption by customers are provided. The method includes profiling each customer with self attributes and related attributes in the form of consumed items; profiling each item with self attributes, first order related attributes in the form of customers of the profiled item, and second order related attributes in the form of items consumed by the customers of the profiled item; and indexing the customer profiles and item profiles in a faceted search engine for exploration by a user. Searching the customer profiles and item profiles is carried out by user selection of one or more attributes of the customers and/or items. The method includes refining the indexed profiles to a segment of the data in the form of a compound logic condition of the attributes of the customer and/or items.

Claims

1. A method for exploration of item consumption by customers, comprising:

profiling each customer with self attributes and related attributes in the form of consumed items;

profiling each item with self attributes, first order related attributes in the form of customers of the profiled item, and second order related attributes in the form of items consumed by the customers of the profiled item;

indexing the customer profiles and item profiles in a faceted search engine for exploration by a user;

wherein said profiling and indexing steps are implemented in either;

a) computer hardware configured to perform said profiling and indexing steps;

or

b) computer software embodied in a non-transitory, tangible, computer-readable storage medium.

2. The method as claimed in claim 1, including:

searching the customer profiles and item profiles by user selection of one or more attributes of the customers and/or items.

3. The method as claimed in claim 1, including:

refining the indexed profiles to a segment of the data in the form of a compound logic condition of the attributes of the customer and/or items.

4. The method as claimed in claim 3, wherein given a segment, dynamically aggregating the attributes of customer or item instances belonging to the segment using the faceted search engine to aggregate facet counts.

5. The method as claimed in claim 4, including:

displaying a segment in the form of aggregated customer and item instances belonging to the segment including displaying statistics characterising the instances using the faceted search engine to aggregate facet counts.

6. The method as claimed in claim 1, including:

extracting data for the customer and item profiles from integrated services; and

loading the data into a data store for profiling.

7. The method as claimed in claim 6, including:

preserving previously loaded data and incrementally loading new data.

8. The method as claimed in claim 1, including:

recommending items to a user using similarity computed through the faceted search engine and presenting items to a user.

9. The method as claimed in claim 1, including:

providing a history navigation through historical transaction logs relating to the profiles.

10. The method as claimed in claim 1, wherein an item is one or more of the group of:

a product, a service accessed, content accessed, advertisements displayed.

11. A computer program product for exploration of item consumption by customers, the computer program product comprising:

a computer readable medium;

computer program instructions operative to;

profile each customer with self attributes and related attributes in the form of consumed items;

profile each item with self attributes, first order related attributes in the form of customers of the profiled item, and second order related attributes in the form of items consumed by the customers of the profiled item;

index the customer profiles and item profiles in a faceted search engine for exploration by a user;

wherein said program instructions are stored on said computer readable medium.

12. A system for exploration of item consumption by customers, comprising:

a processor;

a profiling component for;

profiling each customer with self attributes and related attributes in the form of consumed items;

profiling each item with self attributes, first order related attributes in the form of customers of the profiled item, and second order related attributes in the form of items consumed by the customers of the profiled item;

a faceted search engine including an indexing component for indexing the customer profiles and item profiles in a faceted search engine for exploration by a user;

wherein any of said profiling component, faceted search engine and indexing component are implemented in either of computer hardware or computer software and embodied in a non-transitory, tangible, computer-readable storage medium.

13. The system as claimed in claim 12, including:

a user interface including a user searching component for searching the customer profiles and item profiles by user selection of one or more attributes of the customers and/or items.

14. The system as claimed in claim 12, including:

a refining component for refining the indexed profiles to a segment of the data in the form of a compound logic condition of the attributes of the customer and/or items.

15. The system as claimed in claim 14, wherein given a segment, the refining component dynamically aggregates the attributes of customer or item instances belonging to the segment using the faceted search engine to aggregate facet counts.

16. The system as claimed in claim 13, including:

a display for displaying a segment in the form of aggregated customer and item instances belonging to the segment including displaying statistics characterising the instances using the faceted search engine to aggregate facet counts.

17. The system as claimed in claim 12, including:

a data extracting component for extracting data for the customer and item profiles from integrated services; and

a loading component for loading the data into a data store for profiling.

18. The system as claimed in claim 12, including:

a recommending component for recommending items to a user using similarity computed through the faceted search engine and presenting items to a user.

19. The system as claimed in claim 12, including:

a history component providing a history navigation through historical transaction logs relating to the profiles.

20. A user interface for exploration of item consumption by customers, comprising:

a display of aggregated customer profiles and item profiles, wherein a customer profile includes self attributes and related attributes in the form of consumed items, and an item profile includes self attributes, first order related attributes in the form of customers of the profiled item, and second order related attributes in the form of items consumed by the customers of the profiled item;

a selection component for selecting one or more attributes of the customer and/or items displayed;

a refining component for displaying a segment in the form of a compound logic condition of the attributes of the customer and/or items.

21. The user interface as claimed in claim 20, wherein given a segment, dynamically aggregating the attributes of customer or item instances belonging to the segment using the faceted search engine to aggregate facet counts.

22. The user interface as claimed in claim 21, including:

the display displaying a segment in the form of aggregated customer and item instances belonging to the segment including displaying statistics characterising the instances using the faceted search engine to aggregate facet counts.