Method for improving of service brokers' quality of service

• US 20030236700A1
• Filed: 03/27/2003
• Published: 12/25/2003
• Est. Priority Date: 06/25/2002
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Arning, Andreas, Leymann, Frank, Seiffert, Roland, Roller, Dieter
• Application Number:
  US10/401,639
• Publication Number:
  US 20030236700A1
• Time in Patent Office: Days
• US Class Current: 705/347
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

The present invention relates to a computerized method applicable to a set of parties connected via a network, and in particular it relates to a method and system for improving the search for services offered via said network. Said parties are Service Providers offering said services, Service Requesters needing said services, and Service Brokers maintaining information about said services and service providers. Said Service Brokers assist said Service Requestors in finding, for a particular service, the best services from the best Service Providers ranked by the importance for said Service Requestor. Obviously, the acceptance of a particular Service Broker by a particular Service Requestor depends on the capability of providing a (ranked) list of services that best meet the demands of a particular Service Requester. It is proposed to exploit data mining technology to achieve the proper ranking of said list created as a result of a Service Requester'"'"'s request by providing at least said list (402) to a trained data-mining model (412) that then generates the proper ranked list (414) The trained data-mining model (412) is created by training an untrained data-mining model with some or all of the following information:

a. Properties of the offered service such as a description of the service,

b. Queries (406) that Service Requesters have submitted,

c. The non-ranked lists of services that have been derived from said queries (402),

d. Feedback information provided by the Service Requester about his preferences,

e. Properties of the Service Requester,

f. Properties of the Service Provider. (FIG. 4).

Claims

1. A computerized method for ranking service offerings in a service-oriented architecture, in which said service offerings are offered by a Service Broker (100) to a Service Requestor (102), characterized by the step of:

running (330) at least a result list (402) of qualifying services (404) generated as the result of a query of the Service Requestor (102) through a trained data-mining model (412) for generating a newly ranked, improved result list (410).

2. The method according to claim 1, in which a data-mining model is trained by at least one of:

a) Properties (200) of the offered service,

b) Queries (204), that Service Requesters have submitted,

c) Lists of services (206) that have been derived from said queries (204),

d) Feedback information (208) provided by the Service Requester about his/her preferences,

e) Properties (202), of the Service Requester,

f) Properties (214) of the Service Provider.

3. The method according to the preceding claim in which said Feedback Information (208) comprises at least one of:

a) a selection of a particular service from a list of services, or

b) information about the quality of service rendered by a selected Service Provider (104).

4. The method according to claim 2, in which said Feedback Information (208) is collected without requesting assistance from the Service Requester (102).

5. The method according to the preceding claim, in which said Feedback Information (208) is collected by either of or a combination of:

a) automatically recording the selection being made by the Service Requester,

b) automatically recording the history information, in which the Service Requester looked at different Service Offerings being part of a presented list thereof.

6. The method according to claim 1 or 2, in which in addition to said result list (402) one or more of the following information is fed to a respectively trained data-mining model (412), when running it for generating said improved result list (410):

a) said queries (204, 406), that Service Requesters have submitted in case the data-mining model was trained with them,

b) said properties (214, 404) of the Service Providers, which are associated with said services (206), in case the data-mining model was trained with them, and

c) said properties (202, 408) of the Service Requesters, which are associated with said services (206), in case the data-mining model was trained with them.

7. A computer system having means for performing the steps of a method according to one of the preceding claims 1 to 6.

8. A computer program for execution in a data processing system comprising computer program code portions for performing respective steps of the method according to anyone of the preceding claims 1 to 6,

when said computer program code portions are executed on a computer.

9. A computer program product stored on a computer usable medium comprising computer readable program means for causing a computer to perform the method of anyone of the claims 1 to 6, when said computer program product is executed on a computer.