Prereading method and system for web browser

• US 9,094,478 B2
• Filed: 08/12/2013
• Issued: 07/28/2015
• Est. Priority Date: 03/17/2011
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Guangzhou Ucweb Computer Technology Company, Ltd.
• Inventors: Liang, Jie, Jiang, Weiran
• Primary Examiner(s): Truong, Lan-Dai T
• Application Number:
  US13/965,069
• Publication Number:
  US 20140047009A1
• Time in Patent Office: 715 Days
• Field of Search: 709/231, 709/203, 709/204, 709/205, 709/217, 709/227
• US Class Current: 1/1
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• CPC Class Codes: H04L 67/01 Protocols

Abstract

The present invention relates to the field of Web browser technology, particularly to a prereading method and system for a Web browser, the method comprising: submitting, by a Web browser client, a first Web page visiting request to a target server and uploading an individual browsing record characteristic of the first Web page; forming, by a transfer server, a prereading policy according to the received individual browsing record characteristic of the first Web page and the stored at least one swarm browsing record characteristic of the first Web page; acquiring, by the transfer server, a Web page from the target server according to the prereading policy and sending the Web page to the browser client for buffering. The present invention makes it possible to preread Web pages according to individual users'"'"' visiting habits and preferences in combination with mass users'"'"' visiting history, and find out Web pages that a user is most likely to click through computational analysis of weights and preference coefficients on different page elements of Web pages, thereby realizing more precisely prereading, significantly increasing success rate of preread. Further, pages are downloaded in idle period, which advantageously saves time for users by substantially avoiding waiting.

Claims

1. A prereading method for a Web browser, comprising:

submitting a first Web page visiting request from a Web browser client to a target server, and uploading an individual browsing record characteristic of the first Web page from the Web browser client to a transfer server;

forming, by the transfer server, a prereading policy according to the received individual browsing record characteristic of the first Web page and stored at least one swarm browsing record characteristic of the first Web page; and

acquiring, by the transfer server, a Web page from the target server according to the prereading policy and sending the acquired Web page to the Web browser client for buffering,

wherein the step of forming, by the transfer server, the prereading policy according to the received individual browsing record characteristic of the first Web page and the at least one swarm browsing record characteristic of the first Web page comprises;

sorting one or more page elements on the first Web page according to their prereading preference scores, and

acquiring, by the transfer server, linked contents according to link addresses included in first K page elements of the sorted one and more page elements, as preread contents, wherein K is a natural number greater than or equal to 1.

2. The prereading method according to claim 1, wherein the individual browsing record characteristic is an individual visiting frequency of one or more page elements containing link addresses on the first Web page, and the swarm browsing record characteristic is a swarm visiting frequency of the transfer server for one or more page elements on the first Web page.

3. The prereading method according to claim 2, wherein:

an individual browsing record characteristics weight corresponding to the individual browsing record characteristic and a swarm browsing record characteristic weight corresponding to the one or more swarm browsing record characteristics are set in advance; and

a summation of the individual browsing record characteristic weight and the one or more swarm browsing record characteristic weights is 1.

4. The prereading method according to claim 2, wherein the prereading policy further comprises:

setting each page element with an individual preference coefficient according to the individual browsing record characteristic,

setting an order of the individual preference coefficients according to an order of the individual visiting frequencies of the page elements of the first Web page,

setting each page element with a swarm preference coefficient according to the swarm browsing record characteristic,

setting an order of the swarm preference coefficients according to an order of the swarm visiting frequencies of the page elements of the first Web page, and

calculating the prereading preference score of each page element according to the individual preference coefficient and the swarm preference coefficient.

5. The prereading method according to claim 2, wherein the prereading policy further comprises:

sorting one or more page elements on the first Web page according to their prereading preference scores, and

merging and reorganizing, by the transfer server, the linked contents acquired according to link addresses included in the first K page elements of the sorted one or more page elements, as preread contents.

6. The prereading method according to claim 1, wherein:

each page element is set with an individual preference coefficient according to the individual browsing record characteristic,

the individual preference coefficient is the individual visiting frequency of the page element,

each page element is set with a swarm preference coefficient according to the swarm browsing record characteristic,

the swarm preference coefficient is the swarm visiting frequency of the page element, and

the prereading preference score of each page element is calculated according to the individual preference coefficient and the swarm preference coefficient.

7. The prereading method according to claim 1, wherein the at least one swarm browsing record characteristic includes a first swarm browsing record characteristic, and the first swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page; and

if a page element containing a link address includes a key point, querying a history frequency of visiting the key point as the swarm visiting frequency for the page element containing the key point, the key point being determined via historical statistics.

8. The prereading method according to claim 7, wherein the swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page, and

if a page element containing a link address includes a key point, querying a frequency of visiting the key point in historically visiting the first Web page, as the swarm visiting frequency for the page element containing the key point.

9. The prereading method according to claim 8, wherein the key point is a keyword or a key diagram.

10. The prereading method according to claim 1, wherein the Web browser client further uploads one or more individual identity characteristics associated with the user'"'"'s identity, the transfer server further saves the one or more swarm identity characteristics associated with the user swarm identity,

the at least one swarm browsing record characteristic includes a second swarm browsing record characteristic, the second swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page,

if a page element containing a link address includes a key point, querying a history frequency of visiting the key point with respect to a swarm identity characteristic corresponding to the individual identity characteristic, as the swarm visiting frequency for the page element containing the key point, the key point being determined via historical statistics.

11. The prereading method according to claim 10, wherein the swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page; and

if a page element containing a link address includes a key point, querying a frequency of visiting the key point in historically visiting the first Web page, as the swarm visiting frequency for the page element containing the key point.

12. The prereading method according to claim 1, wherein the at least one swarm browsing record characteristic includes a third swarm browsing record characteristic, the third swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page and querying a history frequency of turning to a second Web page after visiting the first Web page;

determining a page element associated with the second Web page according to a link address contained in the page element on the first Web page to obtain the swarm visiting frequency for the page element.

13. The prereading method according to claim 1, wherein the browser client further uploads one or more individual identity characteristics associated with the user'"'"'s identity, the transfer server further saves the one or more swarm identity characteristics associated with the user swarm identity,

the at least one swarm browsing record characteristic includes a fourth swarm browsing record characteristic, the fourth swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the transfer server, on the first Web page, and querying a history frequency of turning to a third Web page after visiting the first Web page with respect to the swarm identity characteristic corresponding to the individual identity characteristic;

determining a page element associated with the third Web page according to a link address contained in the page element on the first Web page, to obtain the swarm visiting frequency for the page element.

14. The prereading method according to claim 1, wherein the Web browser client is a mobile communication equipment terminal.

15. A prereading system for a Web browser, comprising:

an individual browsing record characteristic uploading hardware unit provided at a Web browser client, configured for submitting a first Web page visiting request to a target server and uploading an individual browsing record characteristic of the first Web page to a transfer server;

a prereading policy forming unit provided at the transfer server, configured for forming a prereading policy according to the received individual browsing record characteristic of the first Web page and the stored at least one swarm browsing record characteristic of the first Web page; and

a preread file reading unit provided at the transfer server, configured for acquiring a Web page from the target server according to the prereading policy, and for sending the Web page to the Web browser client for buffering,

wherein forming the prereading policy, by the prereading policy forming unit, according to the received individual browsing record characteristic of the first Web page and the stored at least one swarm browsing record characteristic for the first Web page comprises;

sorting one or more page elements on the first Web page according to their prereading preference scores, and

acquiring, by the transfer server, linked contents according to link addresses contained in first K page elements of the sorted one or more page elements, as the preread contents, wherein K is a natural number greater than or equal to 1.

16. The prereading system according to claim 15, wherein the individual browsing record characteristic is an individual visiting frequency of one or more page elements containing link addresses on the first Web page, and the swarm browsing record characteristic is a swarm visiting frequency of the transfer server with respect to one or more page elements on the first Web page.

17. The prereading system according to claim 16, wherein:

an individual browsing record characteristics weight corresponding to the individual browsing record characteristic and a swarm browsing record characteristic weight corresponding to the one or more swarm browsing record characteristics are set in advance; and

a summation of the individual browsing record characteristic weight and the one or more swarm browsing record characteristic weights is 1.

18. The prereading system according to claim 16, wherein the prereading policy further comprises:

setting each page element with an individual preference coefficient according to the individual browsing record characteristic,

setting an order of the individual preference coefficients according to an order of the individual visiting frequencies of the page elements of the first Web page,

setting each page element with a swarm preference coefficient according to the swarm browsing record characteristic,

setting an order of the swarm preference coefficients according to an order of the swarm visiting frequencies of the page elements of the first Web page, and

calculating the prereading preference score of each page element according to the individual preference coefficient and the swarm preference coefficient.

19. The prereading system according to claim 16, wherein the prereading policy further comprises:

sorting one or more page elements on the first Web page according to their prereading preference scores, and

merging and reorganizing, by the transfer server, the linked contents acquired according to link addresses included in first K page elements of the sorted one or more page elements, as preread contents.

20. The prereading system according to claim 15, wherein:

each page element is set with an individual preference coefficient according to the individual browsing record characteristic,

the individual preference coefficient is the individual visiting frequency of the page element,

each page element is set with a swarm preference coefficient according to the swarm browsing record characteristic,

the swarm preference coefficient is the swarm visiting frequency of the page element, and

the prereading preference score of each page element is calculated according to the individual preference coefficient and the swarm preference coefficient.

21. The prereading system according to claim 15, wherein the prereading policy forming unit further includes a first swarm browsing record characteristic recording module configured to record a first swarm browsing record characteristic, the first swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the first swarm browsing record characteristic recording module, on the first Web page; and

if a page element containing a link address includes a key point, querying a history frequency of visiting the key point as the swarm visiting frequency for the page element containing the key point, the key point being determined via historical statistics.

22. The prereading system according to claim 15, an individual identity characteristic uploading unit provided at the Web browser client, configured to upload one or more individual identity characteristics associated with a user'"'"'s identity;

the transfer server, configured to store one or more swarm identity characteristics associated with a user'"'"'s swarm identity,

the prereading policy forming unit further comprises a second swarm browsing record characteristic recording module configured to record a second swarm browsing record characteristic, the second swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows;

performing statistical analysis, by the second swarm browsing record characteristic recording module, on the first Web page,

if a page element containing a link address includes a key point, querying a history frequency of visiting the key point with respect to a swarm identity characteristic corresponding to the individual identity characteristic, as the swarm visiting frequency for the page element containing the key point, the key point being determined via historical statistics.

23. The prereading system according to claim 22, wherein the swarm visiting frequency for one or more page elements on the first Web page by the second swarm browsing record characteristic recording module is determined as follows:

performing statistical analysis, by the second swarm browsing record characteristic recording module, on the first Web page, and

if a page element containing a link address includes a key point, querying a frequency of visiting the key point in historically visiting the first Web page, as the swarm visiting frequency for the page element containing the key point.

24. The prereading system according to claim 23, wherein the key point is a keyword or a key diagram.

25. The prereading system according to claim 15, wherein the prereading policy forming unit further comprises a third swarm browsing record characteristic recording module configured to record a third swarm browsing record characteristic, the third swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows:

performing statistical analysis, by the third swarm browsing record characteristic recording module, on the first Web page and querying a history frequency of turning to a second Web page after visiting the first Web page;

determining a page element associated with the second Web page according to a link address contained in the page element on the first Web page to obtain the swarm visiting frequency for the page element.

26. The prereading system according to claim 15, further comprising:

an individual identity characteristic uploading unit provided at the Web browser client, configured to upload one or more individual identity characteristics associated with a user'"'"'s identity;

a swarm identity characteristic storing unit provided at the transfer server, configured to store one or more swarm identity characteristics associated with a user'"'"'s swarm identity,

the prereading policy forming unit further comprises a fourth swarm browsing record characteristic recording module, the fourth swarm browsing record characteristic with respect to a swarm visiting frequency for one or more page elements on the first Web page is determined as follows;

performing statistical analysis, by the fourth swarm browsing record characteristic recording module, on the first Web page, and querying a history frequency of turning to a third Web page after visiting the first Web page with respect to the swarm identity characteristic corresponding to the individual identity characteristic;

determining a page element associated with the third Web page according to a link address contained in the page element on the first Web page, to obtain the swarm visiting frequency for the page element.

27. The prereading system according to claim 15, wherein the Web browser client is a mobile communication equipment terminal.