Terminal, server and event suggesting methods thereof

• US 10,353,975 B2
• Filed: 12/05/2016
• Issued: 07/16/2019
• Est. Priority Date: 12/08/2015
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Oh, Hyung-rai, Choi, Ho-jin, Kim, Zae-myung, Oh, Kyo-joong, Lim, Chae-gyun
• Primary Examiner(s): Spieler, William
• Application Number:
  US15/369,163
• Publication Number:
  US 20170161393A1
• Time in Patent Office: 953 Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 50/14 Travel agencies
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 51/42 Mailbox-related aspects, e.g. synchronisation of mailboxes
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/14 Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Disclosed are a terminal, a server and event suggesting methods thereof, the event suggesting method using word embedding, the method including: determining user preference information about a predetermined object by assigning values to a plurality of reference items with respect to user input data corresponding to the object; generating user intent information, which includes values based on the plurality of reference items, based on at least one piece of review data corresponding to a plurality of events for recommendation objects, and accessing a database built up by adding the generated user intent information to the plurality of events; and suggesting an event following the object among the plurality of events based on a similarity between the user preference information about the object and the user intent information of each event included in the database. Thus, the event based on to a user'"'"'s preference is suggested, thereby providing the event-recommendation service to make a user'"'"'s satisfaction higher.

Claims

1. A place recommendation method, the method comprising:

identifying a first visit intent vector of a first user for a first place, the first visit intent vector being assigned with values for a plurality of reference items based on a visit intent of the first user and the plurality of reference items corresponding to a plurality of visit intentions, respectively;

identifying a second visit intent vector of a second user for a plurality of second places, the second visit intent vector being assigned with values for the plurality of reference items based on a visit intent of the second user;

identifying a second place which follows the first place among the plurality of second places based on a similarity between the identified first visit intent vector and the identified second visit intent vector; and

performing an operation on the identified second place.

2. The method according to claim 1, wherein the identifying the first visit intent vector further comprises identifying the first visit intent vector based on user input data received through a terminal.

3. The method according to claim 2, wherein the user input data comprises at least one of:

a text, a picture, a moving picture and a voice uttered by the first user, and the user input data is input by at least one of;

a review input to a website, a short message service (SMS), a social network service (SNS) and E-mail.

4. The method according to claim 2, wherein the user input data comprises a plurality of user reviews input at a predetermined time difference and corresponding to a plurality of first places, respectively,

the method further comprises updating history information including the plurality of user reviews.

5. The method according to claim 1, further comprising:

receiving a user'"'"'s context information;

changing the first visit intent vector by increasing or decreasing a value of at least one among the plurality of reference items in the first visit intent vector based on the received user'"'"'s context information.

6. The method according to claim 1, wherein the first place comprises a travel destination previously visited by the first user, and the second place comprises a next travel destination recommendable based on the visit intent of the first user about the visited travel destination.

7. The method according to claim 6, further comprising collecting review data of the plurality of second places from at least one accessible website.

8. The method according to claim 7, wherein the collecting the review data comprises:

creating the second visit intent vector based on the visit intent of the second user with respect to the collected review data; and

adding a travel-destination visit intent vector, which is created by averaging and normalizing the created second visit intent vector based on the plurality of second places, as the second visit intent vector to the plurality of second places.

9. The method according to claim 8, wherein the creating the second visit intent vector comprises:

crawling the collected review data;

preprocessing at least one word to be filtered out of the crawled review data; and

transforming the preprocessed review data into a review vector by word embedding.

10. The method according to claim 9, further comprising:

creating intent vectors respectively corresponding to the plurality of reference items from a set of words based on intents respectively created with respect to the plurality of second places; and

identifying a similarity between the transformed review vector and each of the plural intent vectors corresponding to the plurality of reference items and assigning the similarity to the second visit intent vector.

11. The method according to claim 10, wherein the collecting the review data comprises:

identifying a correlation distance between the plurality of second places by the travel-destination visit intent vector; and

establishing a travel-destination network model so that the plurality of second places can be linked to form a network if the correlation distance is not greater than a predetermined reference value.

12. A terminal comprising:

a display; and

at least one processor configured to;

identify a first visit intent vector of a first user for a first place, the first visit intent vector being assigned with values for a plurality of reference items based on a visit intent of the first user and the plurality of reference items corresponding to a plurality of visit intentions, respectively,

control the display to display information for a second place which follows the first place among a plurality of second places, the second place being identified based on a similarity between the identified first visit intent vector and a second visit intent vector of a second user for the plurality of second places, and the second visit intent vector being assigned with values for the plurality of reference items based on a visit intent of the second user.

13. The terminal according to claim 12, further comprises input circuitry configured to receive a user'"'"'s input,

wherein the at least one processor is configured to identify the first visit intent vector based on user input data received through the input circuitry.

14. The terminal according to claim 13, wherein

the user input data comprises a plurality of user reviews input at a predetermined time difference and respectively corresponding to a plurality of first places, and

the at least one processor configured to update history information comprising the plurality of user reviews.

15. The terminal according to claim 13, wherein the at least one processor is configured to:

receive a user'"'"'s context information, and

change the first visit intent vector by increasing or decreasing a value of at least one among the plurality of reference items in the first visit intent vector based on the received user'"'"'s context information.

16. A server comprising:

communication circuitry configured to communicate with a terminal which identifies a first visit intent vector of a first user for a first place, the first visit intent vector being assigned with values for a plurality of reference items based on a visit intent of the first user and the plurality of reference items corresponding to a plurality of visit intentions, respectively; and

at least one processor configured to;

identify a second visit intent vector of a second user for a plurality of second places, the second visit intent vector being assigned with values for the plurality of reference items based on a visit intent of the second user,

identify a second place which follows the first place among the plurality of second places based on a similarity between the identified first visit intent vector and the identified second visit intent vector, and

control the communication circuitry to send information about the second place to the terminal so that the terminal performs an operation on the identified second place.

17. The server according to claim 16, wherein the first place comprises a travel destination previously visited by the first user, and the second place comprises a next travel destination recommendable based on the visit intent of the first user about the visited travel destination.

18. The server according to claim 17, wherein the at least one processor is configured to:

collect review data of the plurality of second places from at least one accessible website,

create the second visit intent vector based on the visit intent of the second user with respect to the collected review data, and

add a travel-destination visit intent vector, which is created by averaging and normalizing the created second visit intent vector based on the plurality of second places, as the second visit intent vector to the plurality of second places.

19. The server according to claim 18, wherein the at least one processor is configured to:

determine a correlation distance between the plurality of second places by the travel-destination visit intent vector, and

establish a travel-destination network model so that the plurality of second places can be linked to form a network if the correlation distance is not greater than a predetermined reference value.