CN112200627B - Method for improving shopping cart order conversion rate based on improved LFU strategy - Google Patents
Method for improving shopping cart order conversion rate based on improved LFU strategy Download PDFInfo
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- CN112200627B CN112200627B CN202011073656.8A CN202011073656A CN112200627B CN 112200627 B CN112200627 B CN 112200627B CN 202011073656 A CN202011073656 A CN 202011073656A CN 112200627 B CN112200627 B CN 112200627B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F12/00—Accessing, addressing or allocating within memory systems or architectures
- G06F12/02—Addressing or allocation; Relocation
- G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
- G06F12/12—Replacement control
- G06F12/121—Replacement control using replacement algorithms
- G06F12/122—Replacement control using replacement algorithms of the least frequently used [LFU] type, e.g. with individual count value
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
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Abstract
The invention belongs to the technical field of electronic commerce, and discloses a method for improving shopping cart purchase rate based on an improved LFU strategy, which comprises the following steps: counting and storing categories of commodities browsed by a user; step two, sequencing the stored browsing data according to times; thirdly, adding the commodity information meeting the conditions in the shopping cart into the hot spot area and the reserved area according to the recorded browsing amount of the commodity category; adding the commodity information newly added into the shopping cart into the hot spot area according to conditions; and step five, displaying the shopping cart according to the sequence of the hot spot area and the reserved area. The method can pointedly improve the order conversion rate of the commodities in the shopping cart, so that the commodities in the shopping cart are not discovered until being edited and deleted.
Description
Technical Field
The invention belongs to the technical field of electronic commerce, and particularly relates to a method for improving the order conversion rate of a shopping cart based on an improved LFU strategy.
Background
Online shopping has penetrated our lives as the most convenient and time-saving shopping mode at present. The shopping cart is used as a key link of online shopping and plays a role in playing a very important role in the shopping process. We can see that the shopping cart is not fully utilized, and some goods are fallen asleep in the shopping cart after the user puts the goods into the shopping cart, and the user may only realize that so many goods with buying intention are added when the number of the goods in the shopping cart exceeds the maximum value and needs to be cleaned.
At present, shopping carts are generally displayed according to the time sequence of adding the shopping carts by a user, and the method is convenient to implement and has the defect that when the user really needs certain types of commodities, the user may not remember that the shopping carts are added once, so that the problem that the order conversion rate of the commodities in the shopping carts is low is caused.
Disclosure of Invention
In order to overcome the defects, the invention provides a method for improving the order conversion rate of a shopping cart based on an improved LFU strategy. Firstly, recording the times of commodity categories viewed by a user in E-commerce application; secondly, comparing the commodities in the shopping cart with a certain specific threshold value according to the times of browsing the commodity categories by the user, respectively placing the commodities in the hot spot area and the reserved area; and finally, displaying the commodities in the shopping cart according to the sequence of the hot spot area and the reserved area, thereby pertinently improving the order conversion rate of the commodities in the shopping cart.
The technical scheme of the invention is as follows:
a method for increasing shopping cart purchase rates based on an improved LFU policy, comprising the steps of:
counting and storing categories of commodities browsed by a user;
step two, sequencing the stored browsing data according to times;
thirdly, adding the commodity information meeting the conditions in the shopping cart into the hot spot area and the reserved area according to the recorded browsing amount of the commodity category;
adding the commodity information newly added into the shopping cart into the hot spot area according to conditions;
and step five, displaying the shopping cart according to the sequence of the hot spot area and the reserved area.
Preferably, in the first step, the categories of the goods browsed by the user are counted and stored, and in a redis cache manner, the categories of the goods are used as keys, and the number of times of browsing the categories is a corresponding value.
Preferably, in the third step, according to the recorded browsing amount of the commodity category, the commodity information meeting the conditions in the shopping cart is added to the hot spot area and the reserved area, and the method specifically comprises the following steps:
1) setting a frequency judgment threshold value, and setting the capacity of a hot spot area and the capacity of a reserved area;
2) judging the browsing amount of the commodity types in the shopping cart, turning to the step 5) when the browsing amount is smaller than the threshold value, and turning to the step 3) when the browsing amount is larger than the threshold value;
3) judging whether the goods are available, if so, switching to the step 4), and otherwise, switching to the step 5);
4) inserting commodity information into the hot spot area;
5) the commodity information is inserted into the reserved area.
Preferably, the commodity information newly added to the shopping cart in the fourth step is added to the hot spot area according to the conditions, and the method specifically comprises the following steps:
1) judging whether the goods in the shopping cart exceed the maximum capacity of the shopping cart, if so, turning to the step 2), otherwise, turning to the step 3);
2) prompting a user that the shopping cart is full of commodities, and recommending commodity information which can be deleted by the user from the tail part of the reserved area;
3) judging whether the hot spot area is full, if so, turning to the step 4), and otherwise, turning to the step 5);
4) inserting commodity information at the tail of the hot spot area into the reserved area, and turning to the step 5);
5) and inserting the commodity information newly added into the shopping cart into the hot spot area.
The invention has the following beneficial effects:
the method for improving the shopping cart purchase rate based on the improved LFU strategy can pointedly improve the order conversion rate of the commodities in the shopping cart, so that the commodities in the shopping cart are not discovered until being edited and deleted.
Drawings
FIG. 1 is a block flow diagram of the present invention;
FIG. 2 is a flow chart of the present invention showing the insertion of the merchandise information of the shopping cart into the hot spot area and the holding area;
FIG. 3 is a flowchart illustrating the insertion of the merchandise information newly added to the shopping cart into the hot spot area according to the present invention;
fig. 4 is a block diagram of an improved LFU strategy according to the present invention.
Detailed Description
The technical solution of the present invention is further described below with reference to specific examples, but the present invention is not limited to the contents of the examples in any way.
Example 1
1-4, a method for increasing shopping cart purchase rates based on an improved LFU strategy, comprising the steps of:
counting and storing the commodity categories browsed by a user, wherein the commodity categories are used as keys in a redis cache mode, and the browsing times are corresponding values;
step two, sequencing the stored browsing data according to times, and ensuring that the commodity information with the most browsing times is placed at the head of the hot spot area;
step three, adding qualified commodity information in the shopping cart into the hot spot area and the reserved area according to the recorded browsing amount of the commodity category, and specifically comprising the following steps:
1) setting a frequency judgment threshold value, and setting the capacity of a hot spot area and the capacity of a reserved area;
2) judging the browsing amount of the commodity types in the shopping cart, turning to the step 5) when the browsing amount is smaller than the threshold value, and turning to the step 3) when the browsing amount is larger than the threshold value;
3) judging whether the goods are available, if so, switching to the step 4), and otherwise, switching to the step 5);
4) inserting commodity information into the hot spot area;
5) inserting the commodity information into the reserved area;
step four, adding the commodity information newly added into the shopping cart into the hot spot area according to conditions, and specifically comprising the following steps:
1) judging whether the goods in the shopping cart exceed the maximum capacity of the shopping cart, if so, turning to the step 2), otherwise, turning to the step 3);
2) prompting a user that the shopping cart is full of commodities, and recommending commodity information which can be deleted by the user from the tail part of the reserved area, so that the commodity information which is viewed less or is not in good is deleted by the user;
3) judging whether the hot spot area is full, if so, turning to the step 4), and otherwise, turning to the step 5);
4) inserting commodity information at the tail of the hot spot area into the reserved area, and turning to the step 5);
5) inserting the commodity information newly added into the shopping cart into the hot spot area;
and step five, displaying the shopping cart according to the sequence of the hot spot area and the reserved area, and increasing the exposure rate of the commodities in the hot spot area.
A method for improving purchase rate of shopping carts based on an improved LFU strategy is disclosed, wherein LFU (least frequently used) is a least recently used strategy, and items with least recently used times are preferentially eliminated. The core idea of the improved LFU strategy is that the LFU is utilized to insert the commodity information in the shopping cart into a hot spot area according to the condition that the commodity category browsing times of a user on a page are more than a certain threshold value, only the user has the authority to delete the commodity in the shopping cart of the user, wherein the commodity information with the commodity category browsing times less than the certain threshold value or no commodity is inserted into a reserved area, and when the user wants to edit the shopping cart to delete the commodity information, the commodity information in the reserved area can be recommended to the user to be deleted. The method can pointedly improve the order conversion rate of the commodities in the shopping cart, so that the commodities in the shopping cart are not discovered until being edited and deleted.
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (3)
1. A method for increasing shopping cart purchase rates based on an improved LFU strategy, comprising the steps of:
counting and storing categories of commodities browsed by a user;
step two, sequencing the stored browsing data according to times;
thirdly, adding the commodity information meeting the conditions in the shopping cart into the hot spot area and the reserved area according to the recorded browsing amount of the commodity category; the third step specifically comprises the following steps:
1) setting a frequency judgment threshold value, and setting the capacity of a hot spot area and the capacity of a reserved area;
2) judging the browsing amount of the commodity types in the shopping cart, turning to the step 5) when the browsing amount is smaller than the threshold value, and turning to the step 3) when the browsing amount is larger than the threshold value;
3) judging whether the goods are available, if so, switching to the step 4), and otherwise, switching to the step 5);
4) inserting commodity information into the hot spot area;
5) inserting the commodity information into the reserved area;
adding the commodity information newly added into the shopping cart into the hot spot area according to conditions;
and step five, displaying the shopping cart according to the sequence of the hot spot area and the reserved area.
2. The method as claimed in claim 1, wherein the categories of goods browsed by the user are counted and stored in the first step, and in a manner of redis cache, the categories of goods are used as keys, and the number of times of browsing the categories is a corresponding value.
3. The method for improving the purchase rate of shopping carts based on the LFU improvement strategy as claimed in claim 1, wherein the commodity information newly added to the shopping cart in the fourth step is added to the hot spot area according to the condition, comprising the following steps:
1) judging whether the goods in the shopping cart exceed the maximum capacity of the shopping cart, if so, turning to the step 2), otherwise, turning to the step 3);
2) prompting a user that the shopping cart is full of commodities, and recommending commodity information which can be deleted by the user from the tail part of the reserved area;
3) judging whether the hot spot area is full, if so, turning to the step 4), and otherwise, turning to the step 5);
4) inserting commodity information at the tail of the hot spot area into the reserved area, and turning to the step 5);
5) and inserting the commodity information newly added into the shopping cart into the hot spot area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011073656.8A CN112200627B (en) | 2020-10-09 | 2020-10-09 | Method for improving shopping cart order conversion rate based on improved LFU strategy |
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| CN202011073656.8A CN112200627B (en) | 2020-10-09 | 2020-10-09 | Method for improving shopping cart order conversion rate based on improved LFU strategy |
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| CN112200627A CN112200627A (en) | 2021-01-08 |
| CN112200627B true CN112200627B (en) | 2022-03-25 |
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| CN112966171A (en) * | 2021-03-29 | 2021-06-15 | 北京京东乾石科技有限公司 | Method and device for cleaning page information |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022888A (en) * | 2016-05-27 | 2016-10-12 | 北京众成汇通信息技术有限公司 | Goods recommendation method and device |
| CN107742250A (en) * | 2017-12-04 | 2018-02-27 | 深圳春沐源控股有限公司 | The display methods and display system of goods browse record |
| CN109559198A (en) * | 2018-11-15 | 2019-04-02 | 安徽信果网络科技有限公司 | A method of shopping cart data is deleted based on wechat small routine platform batch |
| CN110969501A (en) * | 2018-09-28 | 2020-04-07 | 北京京东尚科信息技术有限公司 | Method, system, equipment and storage medium for displaying pages of network shopping cart |
| CN112381607A (en) * | 2020-11-12 | 2021-02-19 | 杭州时趣信息技术有限公司 | Network commodity ordering method, device, equipment and medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010117451A2 (en) * | 2009-04-06 | 2010-10-14 | Wheellogic Llc | Systems and methods for managing shopping cart and other wheeled conveyance assets |
| US20150348108A1 (en) * | 2014-05-28 | 2015-12-03 | Blake Quinn | System and method of electronic searching and advertising |
| CN105427136A (en) * | 2015-12-17 | 2016-03-23 | 浪潮软件股份有限公司 | Method and device for recommending commodities |
| CN106022882A (en) * | 2016-05-20 | 2016-10-12 | 北京小米移动软件有限公司 | Method and device for adding shopping cart |
| US11232163B2 (en) * | 2018-08-23 | 2022-01-25 | Walmart Apollo, Llc | Method and apparatus for ecommerce search ranking |
-
2020
- 2020-10-09 CN CN202011073656.8A patent/CN112200627B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022888A (en) * | 2016-05-27 | 2016-10-12 | 北京众成汇通信息技术有限公司 | Goods recommendation method and device |
| CN107742250A (en) * | 2017-12-04 | 2018-02-27 | 深圳春沐源控股有限公司 | The display methods and display system of goods browse record |
| CN110969501A (en) * | 2018-09-28 | 2020-04-07 | 北京京东尚科信息技术有限公司 | Method, system, equipment and storage medium for displaying pages of network shopping cart |
| CN109559198A (en) * | 2018-11-15 | 2019-04-02 | 安徽信果网络科技有限公司 | A method of shopping cart data is deleted based on wechat small routine platform batch |
| CN112381607A (en) * | 2020-11-12 | 2021-02-19 | 杭州时趣信息技术有限公司 | Network commodity ordering method, device, equipment and medium |
Non-Patent Citations (4)
| Title |
|---|
| Curbing shopping cart abandonment in C2C markets — an uncertainty;Heng Tang;《https://doi.org/10.1007/s12525-018-0313-6》;20181013;第533-552页 * |
| 基于REST的通用电商平台服务端的设计与实现;孟灵丽;《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》;20181115(第11期);第I138-142页 * |
| 基于用户行为的移动电子商务推荐算法研究;孙亚利;《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》;20180115(第01期);第I138-1876页 * |
| 大数据挖掘的系统分析;吴文臣;《信息与电脑(理论版)》;20191010(第19期);第146-147+155页 * |
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