Information recommendation method, recommendation engine, network system

• US 8,812,592 B2
• Filed: 06/22/2012
• Issued: 08/19/2014
• Est. Priority Date: 07/30/2011
• Status: Active Grant

• Current Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Inventors: Deng, Rong
• Primary Examiner(s): BOUTAH, ALINA A
• Application Number:
  US13/530,728
• Publication Number:
  US 20130031173A1
• Time in Patent Office: 788 Days
• Field of Search: 709/204, 705/319, 715/753
• US Class Current: 709/204
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

An information recommendation method, a recommendation engine, and a network system are disclosed in embodiments of the present invention. The method includes: acquiring a friend list of a user from a data source with a social relationship; acquiring a behavior record of a friend in the friend list of the user from a user behavior database; generating recommendation information matched with current behavior of the user, according to the behavior record of the friend in the friend list of the user and information of the current behavior of the user; and sending the recommendation information to an application website. Through the embodiments of the present invention, when information is recommended to a user, the recommendation information can be generated based on the social relationship and according to the behavior record of the friend of the user.

Claims

1. A method for recommending information for users, the method comprising:

receiving, by at least one server in a network, from an application website, a recommendation request carrying information about a user'"'"'s operation on the application website and identity information of the user associated with a website with social relationship information;

sending, by the at least one server in the network to the website with the social relationship information, a social relationship information request carrying the identity information;

receiving, by the at least one server in the network from the website with the social relationship information, a response to the social relationship information request, wherein the response includes a list of users having a social relationship with the user;

obtaining, by the at least one server in the network, from a user behavior database, operation records of at least one user listed on the list of the users, wherein the operation records are collected from at least one application website;

generating, by the at least one server in the network, recommendation information according to the operation records and the information about the user'"'"'s operation from the application website, wherein the application website is independent from the website with the social relationship information, the at least one server which is for generating the recommendation information is independent from the application websites and the website with social relationship information; and

in response to the recommendation request, sending, by the at least one server in the network the recommendation information to the application website.

2. The method according to claim 1, wherein the list of users from the website with the social relationship information comprises account information of the users listed on the list of users, and the operation records of the at least one user listed on the list of the users are obtained by searching the behavior database with the account information of the at least one user.

3. The method according to claim 1, wherein the recommendation information is generated by matching the operation records of the at least one user listed on the list of the users and the information about the user'"'"'s operation from the application website.

4. The method according to claim 1, wherein the information about the user'"'"'s operation from the application website comprises a user operation occurrence time, a user operation, a user operation item name, and a user operation item label.

5. The method according to claim 4, wherein an operation record in the behavior database comprises an account name of the social website, an operation occurrence time, an operation item name, an operation item label, and a user operation action.

6. The method according to claim 5, wherein the recommendation information is generated by matching the user operation item name of the information about the user'"'"'s operation from the application website with operation item names of operation records of the at least one user listed on the list of the users.

7. The method according to claim 1, further comprising receiving, from the website with social relationship information, a notification for updating the list of the users, and updating the list of users.

8. A server in a network for recommending information for users, the server comprising:

one or more processors; and

a memory coupled to the one or more processors, and the one or more processors are configured to;

receive, from an application website, a recommendation request carrying information about a user'"'"'s operation on the application website and identity information of the user associated with a website with social relationship information;

send, to the website with the social relationship information, a social relationship information request carrying the user'"'"'s identity information;

receive, from the website with the social relationship information, a response to the social relationship information request, wherein the response includes a list of users having a social relationship with the user;

obtain, from a user behavior database, operation records of at least one user listed on the list of the users, wherein the operation records are collected from at least one application website;

generate recommendation information according to the operation records and the information about the user'"'"'s operation from the application website, wherein the application website is independent from the website with social relationship information, the server for generating the recommendation information is independent from the application websites and the website with the social relationship information; and

in response to the recommendation request, send the recommendation information to the application website.

9. The server according to claim 8, wherein the list of the users from the website with the social relationship information comprises account information of the users listed on the list of the users, and the operation records of the at least one user listed on the list of the users are obtained by searching the behavior database with the account information of the at least one user.

10. The server according to claim 8, wherein the recommendation information is generated by matching the operation records of the at least one user listed on the list of the users and the information about the user'"'"'s operation from the application website.

11. The server according to claim 8, wherein the information about the user'"'"'s operation from the application website comprises a user operation occurrence time, a user operation, a user operation item name, and a user operation item label.

12. The server according to claim 11, wherein an operation record in the behavior database comprises an account name of the social website, an operation occurrence time, an operation item name, an operation item label, and a user operation action.

13. The server according to claim 12, wherein the recommendation information is generated by matching the user operation item name of the information about the user'"'"'s operation from the application website with operation item names of operation records of the at least one user listed on the list of the users.

14. The server according to claim 8, the processor further configured to receive, from the website with the social relationship information, a notification for updating the list of the users, and update the list of the users.