APPARATUS AND METHOD FOR RECOMMENDING SERVICE

• US 20110119217A1
• Filed: 09/30/2010
• Published: 05/19/2011
• Est. Priority Date: 11/19/2009
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Moon, Ae-Kyeung, Park, Yoo-Mi, Kim, Sang-Ki
• Application Number:
  US12/894,786
• Publication Number:
  US 20110119217A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

Provided are a service recommending apparatus and method. The service recommending method uses situation information, such as location information of a terminal possessed by a user and a user profile, to deduce the user'"'"'s activity, predicts a service that is expected to be preferred by the user according to the user'"'"'s situation, and provides the result of the prediction to the user. The location information of the terminal is acquired from a network server such as a location information server through an open API gateway.

Claims

1. A service recommending method based on ontology, comprising:

acquiring location information of a user terminal from a network server;

deducing a user activity according to the location information of the user terminal based on ontology-based information;

predicting a user preferred service according to the result of the deduction; and

providing the user preferred service to the user.

2. The service recommending method of claim 1, wherein the deducing of the user activity comprises:

extracting place type information corresponding to the location information of the user terminal; and

deducing the user activity based on the place type information.

3. The service recommending method of claim 1, wherein the predicting of the user preferred service comprises predicting the user preferred service based on service preference information input by the user.

4. The service recommending method of claim 1, wherein the predicting of the user preferred service comprises predicting the user preferred service based on service usage history information of the user.

5. The service recommending method of claim 1, wherein the predicting of the user preferred service comprises obtaining a preference of each service by assigning weights to preference information input by the user and service usage history information of the user, wherein as more service usage history information is accumulated, a higher weight is assigned to the service usage history information.

6. The service recommending method of claim 1, after acquiring the location information of the user terminal, further comprising transforming the location information of the user terminal to an address, wherein the acquired location information is in the form of coordinate values.

7. The service recommending method of claim 1, further comprising acquiring presence information of the user, and

the deducing of the user activity comprises deducing the user activity based on the presence information.

8. A service recommending apparatus based on ontology, comprising:

an information collector configured to acquire location information of a user terminal from a network server;

an activity deduction unit configured to deduce a user activity according to the location information of the user terminal based on ontology-based information; and

a service selector configured to select a user preferred service based on the deduced user activity and to provide the user preferred service to the user.

9. The service recommending apparatus of claim 8, wherein the information collector comprises a place type extractor configured to extract a place type corresponding to the location of the user terminal, and the activity deduction unit deduces the user activity based on the place type.

10. The service recommending apparatus of claim 9, wherein the information collector further comprises a coordinate transformer configured to transform the location information of the user terminal to an address, wherein the acquired location information is in the form of coordinate values.

11. The service recommending apparatus of claim 8, wherein the service selector selects the user preferred service based on service preference information input by the user.

12. The service recommending apparatus of claim 8, wherein the service selector selects the user preferred service based on service usage history information of the user.

13. The service recommending apparatus of claim 8, wherein the service selector obtains a preference of each service by assigning weights to preference information input by the user and service usage history information of the user, wherein as more service usage history information is accumulated, a higher weight is assigned to the service usage history information.

14. The service recommending apparatus of claim 8, wherein the information collector further acquires presence information of the user, and the activity deduction unit deduces the user activity based on the presence information.

15. The service recommending apparatus of claim 8, wherein the network server is at least one server of a Home Subscriber Server (HSS), a Location Based Service (LBS) server and a Home Location Rocator (HLR).

16. The service recommending apparatus of claim 8, wherein the information collector uses an open interface.

17. The service recommending apparatus of claim 8, further comprising a storage configured to store a user profile including at least one of user location information, time information, activity information, and

wherein the service selector selects a service that is expected to be used by the user based on the information stored in the user profile.