DATA PROCESSING DEVICE AND DATA PROCESSING METHOD BASED ON USER EMOTION ACTIVITY

• US 20150319119A1
• Filed: 05/04/2015
• Published: 11/05/2015
• Est. Priority Date: 05/02/2014
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: RYU, Je-Hyok, YOO, Seung-Yeol, KANG, Shin-Il, KO, Young-Cheon, SON, Jung-Min
• Granted Patent: US 10,454,863 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/10 Multimedia information

Abstract

A data processing device and a data processing method are provided. The data processing device includes a collection storage unit configured to collect and store emotion icon log data for an emotion icon activity of a user with respect to one or more services and an analysis processing unit configured to analyze the emotion icon activity of the user by using the emotion icon log data, and to provide, to a service server, a result obtained by analyzing the emotion icon activity of the user, to allow the service server to apply the result obtained by analyzing the emotion icon activity of the user, to the services.

Claims

1. A data processing device comprising:

a collection storage unit configured to collect and store emotion icon log data for an emotion icon activity of a user with respect to one or more services; and

an analysis processing unit configured to analyze the emotion icon activity of the user by using the emotion icon log data, and to provide, to a service server, a result obtained by analyzing the emotion icon activity of the user, to allow the service server to apply the result obtained by analyzing the emotion icon activity of the user to the services.

2. The data processing device of claim 1, wherein the emotion icon activity comprises the user sending or receiving emotion icons.

3. The data processing device of claim 2, wherein the analysis processing unit analyzes at least one of a relationship between users, a relationship between the user and contents, a relationship between the user and a service, a relationship between the user and location information of contents, and a community and influence of the user, by using the emotion icon log data.

4. The data processing device of claim 3, wherein the analyzing of the relationship between users comprises the analysis processing unit analyzing one or more second users who receive a threshold number of emotion icons from the user.

5. The data processing device of claim 4, wherein the service server recommends the one or more second users as emotion friends to each other by applying, to the services, the one or more second users who receive the threshold number of the emotion icons from the user.

6. The data processing device of claim 3, wherein the analyzing of the relationship between the user and contents comprises the analysis processing unit analyzing contents having received, from the user, a same emotion icons of which the number is larger than a predetermined reference value, among one or more contents, and a second user and a third user who correspond to users of each of the contents.

7. The data processing device of claim 6, wherein the service server recommends contents of the third user to the second user and recommends contents of the second user to the third user, by using the second user and the third user who correspond to users of the contents having received, from the user, a threshold number of the same emotion icons.

8. The data processing device of claim 3, wherein the analysis processing unit counts a number of emotion icons which are received from users with respect to each service, and extracts one or more users who use a threshold number of the emotion icons to the same service to determine a recommendation service priority for each user.

9. The data processing device of claim 8, wherein the service server recommends a service to each user according to the recommendation service priority for each user.

10. The data processing device of claim 3, wherein the analyzing of the relationship between the user and location information of contents comprises the analysis processing unit counting a number of emotion icons received from users for each location, and selecting a representative emotion icon for each location to analyze locations having a same representative emotion icon.

11. The data processing device of claim 10, wherein the selecting of the representative emotion icon for each location comprises the service server recommending a location and contents which have a representative emotion icon equal to the selected representative emotion icon for each location.

12. The data processing device of claim 3, wherein the analysis processing unit determines one or more communities and one or more influential users influential in each of the one or more communities, based on an emotion icon activity of users for each service.

13. The data processing device of claim 12, wherein the service server provides an advertisement to a service screen of the influential user.

14. The data processing device of claim 12, wherein the analysis processing unit determines, if the user uses a threshold number of the emotion icons to each of two of the one or more communities, a hub between the two of the one or more communities.

15. The data processing device of claim 14, wherein the analysis processing unit determines that the two communities comprise an expansion community and recommends a service of one of the two communities to the other of the two communities.

16. A data processing method comprising:

collecting and storing emotion icon log data for an emotion icon activity of a user with respect to one or more service; and

analyzing the emotion icon activity of the user by using the emotion icon log data, and providing, to a service server, the result obtained by analyzing the emotion icon activity of the user, to allow the service server to apply the result obtained by analyzing the emotion icon activity of the user, to a service.

17. The method of claim 16, wherein the emotion icon activity comprises the user sending or receiving emotion icons.

18. The method of claim 17, wherein the analyzing of the emotion icon activity of the user comprises analyzing at least one of a relationship between users, a relationship between the user and contents, a relationship between the user and location information of contents, and a community and influence of the user, by using the emotion icon log data.

19. The method of claim 18, wherein the analyzing of the relationship between users corresponds to analyzing one or more second users having received a threshold number of emotion icons from the user.

20. The method of claim 19, further comprising applying, to a service, the one or more second users having received the threshold number of the emotion icons from the user, to recommend the one or more second users as emotion friends to each other.

21. The method of claim 18, wherein the analyzing of the relationship between a user and contents corresponds to analyzing contents having received, from the user, a same emotion icon of which the number is a predetermined reference value, and a second user and a third user who correspond to users of each of the contents.

22. The method of claim 21, further comprising recommending contents of the third user to the second user and recommending contents of the second user to the third user, by using the second user and the third user who correspond to users of the contents having received, from the user, the threshold number of the same emotion icons.

23. The method of claim 18, wherein the analyzing of the relationship between the user and the service comprises counting a number of emotion icons which are received from users with respect to each service, and extracting one or more users who use a threshold number of the emotion icons to a same service to deduce a recommendation service priority for each user.

24. The method of claim 23, further comprising recommending a service to each user according to the recommendation service priority for each user.

25. The method of claim 18, wherein the analyzing of the relationship between the user and location information of contents comprises counting a number of emotion icons received from users for each location, and selecting a representative emotion icon for each location to analyze locations having a same representative emotion icon.

26. The method of claim 23, further comprising, when selecting the representative emotion icon for each location, recommending a location and contents which have a representative emotion icon equal to the selected representative emotion icon for each location.

27. The method of claim 16, wherein the analyzing of the emotion icon activity of the user comprises determining one or more communities and one or more influential users influential in each of the one or more communities, based on an emotion icon activity of users for each service.

28. The method of claim 27, further comprising providing an advertisement to a service screen of the influential user.

29. The method of claim 27, wherein, if the user uses a threshold number of the emotion icons to each of two of the one or more communities, a hub is determined between the two of the one or more communities.

30. The method of claim 29, further comprising recommending a service of one of the two communities to the other of the two communities.