Method, server, browser, and system for recommending text information

Patent metadata

Field	Value
Publication number	US-10019419-B2
Application number	US-201414447330-A
Country	US
Kind code	B2
Filing date	Jul 30, 2014
Priority date	Jun 6, 2013
Publication date	Jul 10, 2018
Grant date	Jul 10, 2018

Abstract

A method for recommending text information, a server, a browser, and a system thereof are provided. The method includes: a keyword is obtained by a server from a text index pool in response to a visiting request for a webpage from a browser; a recommended text information list is obtained from the text index pool according to the corresponding keyword; the recommended text information list is embedded into the webpage and the webpage is returned to the browser for displaying to a user; and the user may click the keyword to obtain the recommended text information list as required, thereby the keyword is set as the connection between the user and the webpage text information.

First claim

The invention claimed is:

1. A method for recommending text information, comprising:
obtaining, by a server comprising a processor, a keyword from a text index pool pre-created in the server, in response to a visiting request for a webpage from a browser;
obtaining, by the server, a recommended text list from a keyword index pool pre-created in the server, according to the keyword;
embedding, by the server, the recommended text list into the webpage; and
returning the webpage to the browser to display the webpage via the browser,
wherein the creating the text index pool and the keyword index pool comprises:
extracting keywords from a plurality of historical webpages of the browser, including extracting a first keyword from at least one of the plurality of historical webpages, wherein each of the plurality of historical webpages corresponding to at least one of the keywords;
obtaining multiple historical webpages corresponding to the first keyword;
sorting the multiple historical webpages to obtain a sorting result:
taking a predetermined number of the multiple historical webpages as recommended webpages corresponding to the first keyword based on the sorting result; and
creating the text index pool by taking URLs of the recommended webpages as Keys of the text index pool and taking the first keyword as a Value of the text index pool; and creating the keyword index pool by taking the first keyword as a Key of the keyword index pool and taking the URLs of the recommended webpages as Values of the keyword index pool.

2. The method according to claim 1 , wherein the obtaining a keyword from a text index pool in response to a visiting request for a webpage from a browser comprises:
obtaining a Uniform Resource Locator (URL) of the webpage from the visiting request; and
obtaining the keyword corresponding to the URL of the webpage from the text index pool.

3. The method according to claim 2 , wherein the obtaining the keyword corresponding to the URL of the webpage from the text index pool comprises:
determining whether the keyword corresponding to the URL of the webpage is included in the text index pool; and
obtaining the keyword corresponding to the URL of the webpage if the keyword corresponding to the URL of the webpage is included in the text index pool.

4. The method according to claim 1 , wherein before the obtaining a keyword from a text pool in response to a visiting request for a webpage from a browser, the method further comprises:
creating the text index pool and the keyword index pool.

5. The method according to claim 1 , wherein the extracting the first keyword from at least one of the plurality of historical webpages comprises:
extracting a main text from a historical webpage of the browser;
performing word segmentation on the main text to obtain candidate keywords;
counting a word frequency of each of the candidate keywords and a distribution parameter of each of the candidate keywords and calculating a weight of each of the candidate keywords; and
setting a candidate keyword of which the weight is greater than a predetermined threshold as the first keyword.

6. The method according to claim 1 , wherein the sorting the multiple historical webpages and taking a predetermined number of the multiple historical webpages as recommended webpages comprises:
calculating a text weight of each of the multiple historical webpages of the browser by taking a number of hits and an updating time of each of the multiple historical webpages as parameters of each of the multiple historical webpages; and
setting the predetermined number of multiple historical webpages as the recommended webpages based on text weights of the multiple historical webpages.

7. The method according to claim 1 , wherein the embedding the recommended text list into the webpage and returning the webpage to the browser comprises:
linking the recommended text information list with the keyword and marking the keyword at a corresponding position of the webpage.

8. The method according to claim 7 , wherein the marking the keyword comprises at least one of: highlighting the keyword; displaying the keyword in a color that is different from that of adjacent words of the keyword; adding a set icon beside the keyword; and underlining the keyword.

9. The method according to claim 8 , further comprising:
sending the recommended information text list embedded in the webpage to the browser for displaying to a user in the case where the keyword at the corresponding position is clicked by the user.

10. A server for recommending text information, comprising a processor and a memory for storing program instructions, and wherein the processor performs the program instructions to:
obtain a keyword from a text index pool pre-created in the server, in response to a visiting request for a webpage from a browser;
obtain a recommended text list from a keyword index pool pre-created in the server, according to the keyword; and
embed the recommended text list into the webpage, and return the webpage to the browser to display the webpage via the browser,
wherein the processor further performs the program instructions to:
extract keywords from a plurality of historical webpages of the browser, including extracting a first keyword from at least one of the plurality of historical webpages, wherein each of the plurality of historical webpages corresponding to at least one of the keywords;
obtain multiple historical webpages corresponding to the first keyword;
sort the multiple historical webpages to obtain a sorting result;
take a predetermined number of the multiple historical webpages as recommended webpages corresponding to the first keyword based on the sorting result; and
create the text index pool by taking URLs of the recommended webpages as Keys of the text index pool and taking the first keyword as a Value of the text index pool; and create the keyword index pool by taking the first keyword as a Key of the keyword index pool and taking the URLs of the recommended webpages as Values of the keyword index pool.

11. The server according to claim 10 , wherein the processor performs the program instructions to:
obtain a uniform resource locator (URL) of the webpage from the visiting request; and
obtain the keyword corresponding to the URL of the webpage from the text index pool.

12. The server according to claim 11 , wherein the processor performs the program instructions to:
determine whether the keyword corresponding to the URL of the webpage is included in the text index pool; and obtain the keyword if the keyword corresponding to the URL of the current webpage is included in the text index pool.

13. The server according to claim 10 , wherein the processor performs the program instructions to:
create the text index pool and the keyword index pool.

14. The server according to claim 10 , wherein the processor performs the program instructions further to:
extract a main text from a historical webpage of the browser,
perform word segmentation on the main text to obtain candidate keywords,
count a word frequency of each of the candidate keywords and a distribution parameter of each of the candidate keywords and calculate the weight of each of the candidate keywords; and
set a candidate keyword of which the weight is greater than a predetermined threshold as the first keyword.

15. The server according to claim 10 , wherein the processor performs the program instructions further to:
calculate a text weight of each of the multiple historical webpages of the browser by taking a number of hits and an updating time of each

Assignees

• Tencent Tech Shenzhen Co Ltd

Inventors

• Cai Bing

Classifications

• G06F40/169

  Annotation, e.g. comment data or footnotes · CPC title

• G06F40/12

  Use of codes for handling textual entities · CPC title

• G06F40/14

  Tree-structured documents (parsing G06F40/205; validation G06F40/226) · CPC title

• G06F16/951 Primary

  Indexing; Web crawling techniques · CPC title

• G06Q30/0251

  Targeted advertisements · CPC title