Method, Apparatus and System for Increasing Website Data Transfer Speed

• US 20110218859A1
• Filed: 09/02/2010
• Published: 09/08/2011
• Est. Priority Date: 09/29/2009
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Jiang, Lei, Wan, Bin, Zhang, Maosen, Wang, Yongqiang
• Application Number:
  US12/937,578
• Publication Number:
  US 20110218859A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• 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

In one aspect, a method for increasing website data transmission speed comprises: obtaining a characteristics attribute set corresponding to a browsing behavior of a user; obtaining at least one rule corresponding to the characteristics attribute set from a rules database; selecting at least one advertisement corresponding to a scenario stipulated by the at least one rule; placing the at least one advertisement to be presented to the user; and monitoring operations of the user with respect to the placed at least one advertisement. Thus, the update and revolution of the rules database are implemented based on advertisement placement effects in real time. as Advantages achieved include low implementation cost, short period, and quick optimization speed. The present disclosure also discloses an advertisement placement administration apparatus and an advertisement placement administration system.

Claims

1. A method for increasing website data transmission speed, the method comprising:

obtaining a characteristics attribute set corresponding to a browsing behavior of a user;

obtaining at least one rule corresponding to the characteristics attribute set from a rules database;

selecting at least one advertisement corresponding to a scenario stipulated by the at least one rule;

placing the at least one advertisement to be presented to the user; and

monitoring operations of the user with respect to the placed at least one advertisement.

2. The method as recited in claim 1, further comprising:

collecting parameters with respect to the at least one advertisement;

storing the visitation information in website logs; and

extracting a characteristics attribute from the website logs for the user.

3. The method as recited in claim 2, further comprising:

converting the collected parameters to a corresponding rule to update the rules database.

4. The method as recited in claim 2, wherein the collected parameters comprise a user click rate, a browsing volume after arrival of a target webpage, a volume of registration, and a volume of bookmark.

5. The method as recited in claim 1, further comprising:

calculating a respective similarity degree between each of a plurality of rules in the rules database and the characteristics attribute set;

ranking the plurality of rules from high to low according to the calculated respective similarity degrees; and

selecting a number of the ranked rules, among the ranked rules, starting from a rule with a highest similarity degree.

6. The method as recited in claim 5, wherein:

calculating the respective similarity degree comprises using a formula

7. The method as recited in claim 6, wherein selecting at least one advertisement corresponding to a scenario stipulated by the at least one rule comprises:

obtaining, by an advertisement search engine, one or more corresponding alternative advertisements;

using a formula H_result(x,y)=e<sup>β

S</sup>×

H_similarity(x,y), to calculate a probability competition score of the at least one rule;

ranking the at least one rule according to the probability competition score from high to low;

selecting a number of rules, among the at least one rule, starting from a rule having a highest probability competition score; and

determining at least one alternative advertisement corresponding to the number of selected rules as a final advertisement to be placed.

8. The method as recited in claim 2, further comprising:

extracting a newly generated rule from the collected parameters based on operations of the user with respect to the placed at least one advertisement;

calculating an effect score S_new and a support degree N_new of the newly generated rule;

in an event that the newly generated rule does not exist in the rules database, and each of the S_new and N_new is higher than a respective threshold, adding the newly generated rule to the rules database; and

in an event that the newly generated rule already exists in the rules database, calculating a consolidated effect score S_{consolidation} and a consolidated support degree N_{consolidation} of the newly generated rule and an originally stored rule in the rules database,

in an event that each of the S_{consolidation} and N_{consolidation} is higher than a respective threshold, storing the S_{consolidation} and N_{consolidation} into into the rules database; and

in an event that either of the S_{consolidation} and N_{consolidation} is lower than the respective threshold, deleting the newly generated rule from the rules database.

9. The method as recited in claim 8, further comprising:

using a formula

10. The method as recited in claim 8, further comprising:

using formulas

S_{consolidation}=α

×

S_old+(1−

α

)×

S_new

N_{consolidation}=β

×

N_old+(1−

β

)×

N_new

to calculate the consolidated effect score S_{consolidation} and the consolidated support degree N_{consolidation} of the newly generated rule and the originally stored rule in the rules database, wherein;

α and

β

are preset inflation factors; and

S_old and N_old are the effect score and the support degree of the originally stored rule.

11. The method as recited in claim 1, further comprising:

according to the characteristics attribute set, obtaining at least two rules corresponding to the characteristics attribute set from the rules database; and

conducting a cross variance of the at least two rules according to a genetic variance algorithm.

12. A system for increasing website data transmission speed, the system comprising:

a rules database that stores a plurality of rules to search advertisements; and

an advertisement placement administration apparatus communicatively coupled to the rules database, the advertisement placement administration apparatus configured to perform;

obtaining a characteristics attribute set corresponding to a browsing behavior of a user;

obtaining at least one rule corresponding to the characteristics attribute set from a rules database;

selecting at least one advertisement corresponding to a scenario stipulated by the at least one rule;

placing the at least one advertisement to be presented to the user; and

monitoring operations of the user with respect to the placed at least one advertisement.

13. The system as recited in claim 12, wherein the advertisement placement administration apparatus is further configured to perform:

collecting parameters with respect to the at least one advertisement;

storing the visitation information in website logs; and

extracting a characteristics attribute from the website logs for the user.

14. The system as recited in claim 13, wherein the advertisement placement administration apparatus is further configured to perform:

converting the collected parameters to a corresponding rule to update the rules database.

15. The system as recited in claim 12, wherein the advertisement placement administration apparatus is further configured to perform:

calculating a respective similarity degree between each of a plurality of rules in the rules database and the characteristics attribute set;

ranking the plurality of rules from high to low according to the calculated respective similarity degrees; and

selecting a number of the ranked rules, among the ranked rules, starting from a rule with a highest similarity degree.

16. The system as recited in claim 13, wherein the collected parameters comprise a user click rate, a browsing volume after arrival of a target webpage, a volume of registration, and a volume of bookmark.

17. An apparatus for increasing website data transmission speed, the apparatus comprising:

an obtaining unit that obtains a characteristics attribute set corresponding to a browsing behavior of a user, and, according to the characteristics attribute set, obtains at least one rule corresponding to the characteristics attribute set from a rules database;

a first processing unit that selects at least one advertisement corresponding to a scenario stipulated by the at least one rule, and places the at least one advertisement to be presented to the user; and

a second processing unit that monitors operations of the user with respect to the placed at least one advertisement, and converts collected parameters to a corresponding rule to update the rules database.