Content enhancement for analyzing data in a database

• US 7,650,334 B2
• Filed: 10/30/2007
• Issued: 01/19/2010
• Est. Priority Date: 06/18/2001
• Status: Expired due to Fees

• Current Assignee: Blue Yonder Group, Inc. (Panasonic Holdings Corporation)
• Original Assignee: i2 Technologies US Incorporated (Panasonic Holdings Corporation)
• Inventors: Menon, Hari, Tenorio, Manoel
• Primary Examiner(s): RUDY, ANDREW J
• Application Number:
  US11/928,646
• Publication Number:
  US 20080059335A1
• Time in Patent Office: 812 Days
• Field of Search: 705/27, 705/28, 235/383, 707/3, 707/10, 707/104.1, 709/217, 709/225, 713/168
• US Class Current: 707/694
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

An electronic commerce system includes a content enhancement module that analyzes the product data stored in a seller database using one or more rules and that identifies one or more potential errors in the product data according to the rules. The rules include one or more generic rules that apply to substantially all seller databases including product data. These generic rules include one or more of the following rules: a rule indicating that a potential error exists if two products in the seller database have identical product identifiers but have otherwise different product data, a rule indicating that a potential error exists if two products in the seller database have different product identifiers but have otherwise identical product data, and rules indicating that a potential error exists if the values associated with particular generic product attributes have a non-numerical format.

Claims

1. An electronic commerce system, comprising:

one or more seller databases coupled with one or more sellers;

a computer system coupled with the one or more seller databases, the computer system comprising a content enhancement module, the content enhancement module configured to;

analyze product data stored in the one or more seller databases using a set of rules, the set of rules comprising generic rules applying to the one or more seller databases that store product data, the generic rules comprising;

a first rule indicating that a potential error exists if two products in the one or more seller databases have identical product identifiers but have otherwise different product data;

a second rule indicating that a potential error exists if two products in the one or more seller databases have different product identifiers but have otherwise identical product data; and

a third rule indicating that a potential error exists if the values associated with particular generic product attributes have a non-numerical format;

identify one or more potential errors in the product data according to the set of rules; and

communicate the potential errors to one or more sellers associated with the one or more seller databases.

2. A computer-implemented method for content enhancement, comprising:

analyzing, by a computer, product data stored in one or more seller databases using one or more rules, the rules comprising one or more generic rules applying to the one or more seller databases that contain product data, the generic rules comprising;

a rule indicating that a potential error exists if two products in one of the one or more seller databases have identical product identifiers but have otherwise different product data;

a rule indicating that a potential error exists if two products in one of the one or more seller databases have different product identifiers but have otherwise identical product data; and

one or more rules indicating that a potential error exists if the values associated with particular generic product attributes have a non-numerical format;

identifying, by the computer, one or more potential errors in the product data according to the rules; and

communicating the potential errors to one or more sellers associated with the one or more seller databases.

3. A computer-readable storage medium embodied with software enabling content enhancement, the software when executed using one or more computers is configured to:

analyze the product data stored in one or more seller databases using one or more rules, the rules comprising one or more generic rules applying to the one or more seller databases that contain product data, the generic rules comprising;

a rule indicating that a potential error exists if two products in one of the one or more seller databases have identical product identifiers but have otherwise different product data;

a rule indicating that a potential error exists if two products in one of the one or more seller databases have different product identifiers but have otherwise identical product data; and

one or more rules indicating that a potential error exists if the values associated with particular generic product attributes have a non-numerical format;

identify one or more potential errors in the product data according to the rules; and

communicate the potential errors to one or more sellers associated with the one or more seller databases.

4. The computer-readable storage medium of claim 3, wherein the software is further configured to provide a plurality of users access to an electronic commerce system, the electronic commerce system comprising:

a global content directory including a plurality of product classes organized in a hierarchy, each product class categorizing a plurality of products and associated with one or more attributes of the products categorized in the product class, at least one of the product classes having one or more associated pointers that identify one or more of the one or more seller databases that include product data for one or more products in the class, the product data including values for one or more attributes of the products in the class; and

a search interface configured to communicate a search query for product data to a seller database identified by a pointer associated with a product class selected by a user of the global content directory.

5. The computer-readable storage medium of claim 4, wherein the software is further configured to analyze the product data and identify the potential errors in response to a seller requesting that product data in a seller database be associated with one or more classes of the global content directory.

6. The computer-readable storage medium of claim 5, wherein the analysis is performed using one or more rules associated with the particular classes with which the product data is to be associated.

7. The computer-readable storage medium of claim 4, wherein the generic rules further comprise a rule that generates a product identifier for a product when the product data for that product does not include a product identifier, the generated product identifier comprising the name of a class in which the product is categorized and the values for one or more attributes of the product.

8. The computer-readable storage medium of claim 3, wherein analyzing comprises accessing and parsing through the product data included in the seller database.

9. The computer-readable storage medium of claim 3, wherein analyzing comprises communicating one or more search queries to the seller database, each search query formulated according to one or more of the rules.

10. The computer-readable storage medium of claim 9, wherein identifying one or more potential errors comprises identifying product data included in the results of one or more of the search queries.

11. The computer-readable storage medium of claim 3, wherein the rules further comprise one or more domain-specific rules that apply only to seller databases including a particular type of product data.

12. The computer-readable storage medium of claim 11, wherein the domain-specific rules comprise one or more rules from the group consisting of rules indicating that a potential error exists if the value associated with a particular product attribute is outside a specified range of values, and rules indicating that a potential error exists if the value associated with a particular product attribute is not in a specified format.