MOBILE RECOMMENDATION SYSTEMS AND METHODS

• US 20110153676A1
• Filed: 03/15/2010
• Published: 06/23/2011
• Est. Priority Date: 12/17/2009
• Status: Active Grant

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Wu, Shin-Yi
• Granted Patent: US 8,650,223 B2
• Time in Patent Office: Days
• US Class Current: 707/802
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A mobile recommendation system for an exhibition space is provided. The mobile recommendation system includes a wireless communication module, a tracking module, a preference correlation module, and a recommendation module. The wireless communication module receives location information corresponding to a plurality of users. The tracking module stores the location information and generates a plurality of track records corresponding to the users according to the location information. The preference correlation module generates track correlation information between the users and the track records according to the track records. The recommendation module generates a recommendation list according to the track correlation information.

Claims

1. A mobile recommendation system for an exhibition space, comprising:

a wireless communication module, receiving location information of a plurality of users;

a tracking module, storing the location information, and generating a plurality of track records corresponding to the users according to the location information;

a preference correlation module, generating track correlation information between the users and the track records according to the track records; and

a recommendation module, generating a recommendation list according to the track correlation information.

2. The mobile recommendation system of claim 1, wherein the preference correlation module further generates profile-to-preference correlation information between the track correlation information and a plurality of profile features of the users according to the profile features, and the recommendation list is generated according to the profile-to-preference correlation information.

3. The mobile recommendation system of claim 1, wherein the recommendation module further adjusts the recommendation list according to current positions of the users and a layout of the exhibition space.

4. The mobile recommendation system of claim 3, wherein the recommendation module further converts the recommendation list into a recommendation path according to the current positions of the users and the layout of the exhibition space.

5. The mobile recommendation system of claim 1, wherein the recommendation module further determines whether an amount of items in the recommendation list is less than a predetermined number, and expands the amount of items in the recommendation list to the predetermined number according to content characteristics of the items in the recommendation list.

6. The mobile recommendation system of claim 1, wherein the wireless communication module, the tracking module, and the preference correlation module further update the location information, the track records, and the track correlation information, respectively, so that the recommendation module generates the recommendation list according to the updated track correlation information.

7. The mobile recommendation system of claim 2, wherein the wireless communication module, the tracking module, and the preference correlation module further update the location information, the track records, and the track correlation information and the profile-to-preference correlation information, respectively, so that the recommendation module generates the recommendation list according to the updated profile-to-preference correlation information.

8. The mobile recommendation system of claim 1, wherein the track records comprises the location information and a plurality of identifications of the users, and a plurality of durations of stays corresponding to the location information.

9. The mobile recommendation system of claim 1, wherein the exhibition space is for a trade show, an exhibition, a megastore, or a wholesale store.

10. The mobile recommendation method for recommending a recommendation list for an exhibition space, comprising:

receiving, via a wireless transceiver, location information of a plurality of users;

generating a plurality of track records corresponding to the users according to the location information;

generating track correlation information between the users and the track records according to the track records;

generating the recommendation list according to the track correlation information and a recommendation request from one of the users; and

transmitting, via the wireless transceiver, the recommendation list to the one of the users.

11. The mobile recommendation method of claim 10, further comprising generating profile-to-preference correlation information between the track correlation information and a plurality of profile features of the users according to the profile features, wherein the recommendation list is generated according to the profile-to-preference correlation information.

12. The mobile recommendation method of claim 10, further comprising adjusting the recommendation list according to current positions of the users and a layout of the exhibition space.

13. The mobile recommendation method of claim 12, further comprising converting the recommendation list into a recommendation path according to the current positions of the users and the layout of the exhibition space.

14. The mobile recommendation method of claim 10, further comprising determining whether an amount of items in the recommendation list is less than a predetermined number, and expanding the amount of items in the recommendation list to the predetermined number according to content characteristics of the items in the recommendation list.

15. The mobile recommendation method of claim 10, further comprising updating the location information, the track records, and the track correlation information, so that the recommendation list is generated according to the updated track correlation information.

16. The mobile recommendation method of claim 11, further comprising updating the location information, the track records, and the track correlation information and the profile-to-preference correlation information, so that the recommendation list is generated according to the updated profile-to-preference correlation information.

17. The mobile recommendation method of claim 10, wherein the track records comprises the location information and a plurality of identifications of the users, and a plurality of durations of stays corresponding to the location information.

18. The mobile recommendation method of claim 10, wherein the exhibition space is for a trade show, an exhibition, a megastore, or a wholesale store.