PERSON SEARCH METHOD AND APPARATUS

• US 20140181117A1
• Filed: 02/12/2014
• Published: 06/26/2014
• Est. Priority Date: 08/19/2011
• Status: Abandoned Application

• Current Assignee: Tencent Technology Company Limited (Tencent Holdings Limited)
• Original Assignee: Tencent Technology Company Limited (Tencent Holdings Limited)
• Inventors: SHI, Yifeng, PAN, Shushen, HE, Jianguo, LIN, Liao, WEN, Xu, WANG, Weibo, WANG, Liang
• Application Number:
  US14/179,190
• Publication Number:
  US 20140181117A1
• Time in Patent Office: Days
• US Class Current: 707/741
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

According to an example, a search request is received, and the search request comprises a search keyword and information of a current user; interpersonal relationship chain data of the current user are obtained according to the information of the current user; person information corresponding to the interpersonal relationship chain data of the current user is searched for a person matching the search keyword; and the person matching the search keyword is taken as a search result.

Claims

1. A person search method, comprising:

receiving a search request, the search request comprising a search keyword and information of a current user;

obtaining interpersonal relationship chain data of the current user according to the information of the current user;

searching person information corresponding to the interpersonal relationship chain data of the current user for a person matching the search keyword; and

taking the person matching the search keyword as a search result.

2. The method of claim 1, wherein obtaining the interpersonal relationship chain data of the current user comprises:

obtaining the interpersonal relationship chain data of the current user from a client terminal of the current user.

3. The method of claim 1, further comprises:

configuring an interpersonal relationship chain database for users in advance;

wherein obtaining the interpersonal relationship chain data of the current user comprises;

searching the interpersonal relationship chain database according to an identifier of the current user; and

obtaining the interpersonal relationship chain data of the current user.

4. The method of claim 3, when configuring the interpersonal relationship chain database for the current user, further comprising:

performing expansion processing for interpersonal relationship chain data input to the interpersonal relationship chain database;

obtaining interpersonal relationship chain data of different intimate levels;

storing the interpersonal relationship chain data of the different intimate levels in the interpersonal relationship chain database.

5. The method of claim 3, when configuring the interpersonal relationship chain database for the current user, further comprising:

performing weighted calculation for person data of interpersonal relationship chain data input to the interpersonal relationship chain database;

sorting the interpersonal relationship chain data according to a weighted result; and

storing the interpersonal relationship chain data sorted in the interpersonal relationship chain database.

6. The method of claim 1, after obtaining the interpersonal relationship chain data of the current user and before searching for the person matching the search keyword, further comprising:

performing expansion processing for interpersonal relationship chain data of the current user;

obtaining interpersonal relationship chain data of different intimate levels;

taking the interpersonal relationship chain data of different intimate levels as interpersonal relationship chain data to be searched.

7. The method of claim 1, wherein searching the person information corresponding to the interpersonal relationship chain data of the current user for the person matching the search keyword comprises:

searching out all persons matching the search keyword from a person database;

selecting a person belonging to the interpersonal relationship chain data from the person searched out from the person database.

8. The method of claim 1, further comprising:

configuring an interpersonal relationship chain database for users in advance; and

configuring person index information of interpersonal relationship chain data of each user in the interpersonal relationship chain database;

wherein searching person information corresponding to the interpersonal relationship chain data of the current user for a person matching the search keyword comprises;

searching out person index information of the interpersonal relationship chain data of the current user according to an identifier of the current user;

searching the person index information of the current user for the person matching the search keyword.

9. The method of claim 1, when more than two persons matching the search keyword are searched out, further comprising:

performing weighted calculation for the more than two persons matching the search keyword;

sorting the more than two persons matching the search keyword according to a weighted result;

wherein taking the person matching the search keyword as a search result comprises;

taking the sorted more than two persons matching the search keyword as the search result.

10. The method of claim 9, a weighted factor of the weighted calculation comprises at least one of:

an intimate level of a person in an interpersonal relationship of the current user;

the number of mutual buddies of a person and the current user; and

whether a person has a weak community relationship with the current user.

11. The method of claim 1, wherein the interpersonal relationship chain data comprises interpersonal relationship chain data of different intimate levels;

or comprises interpersonal relationship chain data of different intimate levels and weak community relationship data.

12. A person search apparatus, comprising:

a memory and a processor for executing instructions stored in the memory, the instructions comprise;

a search request instruction, adapted to receive a search request, the search request comprising a search keyword and information of a current user;

a data obtaining instruction, adapted to obtain interpersonal relationship chain data of the current user according to the information of the current user;

a matching instruction, adapted to search person information corresponding to the interpersonal relationship chain data of the current user for a person matching the search keyword; and

a result instruction, to take the person matching the search keyword as a search result.

13. The apparatus of claim 12, further comprising:

an interpersonal relationship chain database, adapted to store the interpersonal relationship chain data;

wherein the data obtaining instruction is to obtain the interpersonal relationship chain data of the current user from the interpersonal relationship chain database via a search interface.

14. The apparatus of claim 13, further comprising an index instruction and an index data storage;

wherein

the index instruction is to configure person index information of interpersonal relationship chain data of each user in the interpersonal relationship chain database and store the person index information in the index data storage; and

the matching module comprises;

a first searching instruction, to search the index data storage for person index information of the interpersonal relationship chain data of the current user according to an identifier of the current user; and

a second searching instruction, to search the person index information searched out by the first searching unit for the person matching the search keyword.

15. A storage medium, storing computer programs, which, when executed by a processor, will cause the processor to:

receive a search request, the search request comprising a search keyword and information of a current user;

obtain interpersonal relationship chain data of the current user according to the information of the current user;

search person information corresponding to the interpersonal relationship chain data of the current user for a person matching the search keyword; and

take the person matching the search keyword as a search result.