CN110930214A - Commodity sorting method for full-subtractive activities - Google Patents
Commodity sorting method for full-subtractive activities Download PDFInfo
- Publication number
- CN110930214A CN110930214A CN201910954599.5A CN201910954599A CN110930214A CN 110930214 A CN110930214 A CN 110930214A CN 201910954599 A CN201910954599 A CN 201910954599A CN 110930214 A CN110930214 A CN 110930214A
- Authority
- CN
- China
- Prior art keywords
- full
- commodity
- value
- price
- participating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- 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]
- G06Q30/0639—Item locations
-
- 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]
- G06Q30/0631—Item recommendations
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a commodity ordering method for decreasing activities, which comprises the steps of marking a plurality of keywords on commodities, calculating the preference value of each commodity according to the historical operation of a user, can reflect the preference degree of the user to each commodity, calculates the price value of the remaining full reduction degree of the user by calculating the total price of the full reduction activity in the shopping cart and the difference value between the total price and the full reduction degree, and the price related value of each commodity participating in the full subtraction activity is obtained according to the ratio of the price of each commodity participating in the full subtraction activity to the difference value, the price related value and the preference value are integrated, and the integrated recommendation value is calculated, so that the preference of the user to the commodities can be reflected, the fitness of the commodities to the full subtraction of the order can also be reflected, and the convenience is brought to the user when the order full subtraction activity is carried out, and finding out more suitable and needed commodities, and reducing the searching time consumed by the user in the activity of full reduction of the bill making.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to a commodity ordering method for a full-minus activity.
Background
In the current internet era, online shopping has become an important channel and even a main channel for many users to purchase commodities, a plurality of shopping websites propose full deactivation to attract users and promote consumption, the full deactivation generally refers to that when the total price of commodities which are bought by the users and participate in the full deactivation reaches a limit, the users are given a certain degree of preference, for the users, the problem that the users need to consider when participating in the full deactivation is solved, the current shopping websites only simply display the commodities which participate in the full deactivation in a list according to a single mode of price sorting, category sorting and the like, and the users cannot recommend sorting with higher reference value.
Disclosure of Invention
In view of the above, the present invention is directed to a method for sorting commodities in a full subtractive event.
Based on the above purpose, the commodity ordering method for the full subtractive activity provided by the invention comprises the following steps:
marking a plurality of key words for each commodity according to the attribute of each commodity;
recording the operation of the user on each commodity, counting the keywords of the operated commodity, and calculating the preference value of the user on each commodity according to the operation times of each keyword;
reading shopping cart data of a user, and calculating the total price of commodities participating in full deactivation in a shopping cart;
calculating a difference value between the total price and a set full-reduction amount, and obtaining a price related value of each commodity participating in the full-reduction activity according to a ratio of the price of each commodity participating in the full-reduction activity to the difference value;
synthesizing the preference value and the price correlation value of each commodity, and calculating to obtain a comprehensive recommended value of each commodity;
and sequencing the commodities participating in the full-reduction activity according to the comprehensive recommended value of the commodities participating in the full-reduction activity.
Preferably, when the commodities participating in the full-subtractive activity are ordered, the method further comprises:
adding a fine classification label to each commodity participating in the full subtraction activity according to the category of each commodity participating in the full subtraction activity;
and according to the comprehensive recommended value of each commodity participating in the full-subtractive activity, sorting the commodities according to the comprehensive recommended value from high to low, when the continuous occurrence times of the commodities with the same fine classification label exceed a first preset number or the total occurrence times of the commodities with the same fine classification label exceed a second preset number, reducing the preference value of the commodities with the fine classification label in the subsequent sorting, and recalculating the comprehensive recommended value and the sorting of the commodities with the fine classification label in the subsequent sorting.
Preferably, when the user's operation on each commodity is recorded, the method further comprises:
the purchasing, collecting, shopping cart adding, clicking and searching operations of the user on the commodities are respectively recorded, different preference value weights are set for different operations, and preference values of the user on the commodities are calculated.
Preferably, the price related value of each commodity participating in the full reduction activity is obtained according to the ratio of the price of each commodity participating in the full reduction activity to the difference value, and the method further comprises the following steps:
setting a plurality of ratio intervals, and respectively setting price related value weights for different ratio intervals;
and calculating the price correlation value of each commodity participating in the full subtraction activity according to the ratio interval where the ratio of the price of each commodity participating in the full subtraction activity to the difference value is positioned.
Preferably, when deriving the price-related value for each item participating in the fill-and-subtract activity, the method further comprises:
if the price related value of the item participating in the full deactivation is below the threshold, the item is not displayed in the ranking.
Preferably, the method further comprises:
and adjusting the threshold value according to an input instruction of a user.
As can be seen from the above, the commodity sorting method for the full-minus event provided by the invention marks a plurality of keywords on the commodity and calculates the preference value of each commodity according to the historical operation of the user, can reflect the preference degree of the user to each commodity, calculates the price value of the remaining full reduction degree of the user by calculating the total price of the full reduction activity in the shopping cart and the difference value between the total price and the full reduction degree, and the price related value of each commodity participating in the full subtraction activity is obtained according to the ratio of the price of each commodity participating in the full subtraction activity to the difference value, the price related value and the preference value are integrated, and the integrated recommendation value is calculated, so that the preference of the user to the commodities can be reflected, the fitness of the commodities to the full subtraction of the order can also be reflected, and the convenience is brought to the user when the order full subtraction activity is carried out, and finding out more suitable and needed commodities, and reducing the searching time consumed by the user in the activity of full reduction of the bill making.
Drawings
FIG. 1 is a schematic flow chart illustrating a commodity sorting method according to an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
A method of merchandise ordering for a abatement campaign, comprising the steps of:
s101, marking a plurality of keywords for each commodity according to the attribute of each commodity;
the keywords include the color, price characteristics, taste, target population, etc. of the commodity.
S102, recording the operation of the user on each commodity, counting the keywords of the operated commodity, and calculating the preference value of the user on each commodity according to the operation times of each keyword;
if a certain article has a red color, luxury and sports keywords, when the user operates the article, the three keywords of red color, luxury and sports are counted, and the preference value of all articles having the red color, luxury and sports keywords is increased.
S103, reading shopping cart data of a user, and calculating the total price of the commodities participating in full deactivation in the shopping cart;
when conducting a full reduction campaign, only the total price of the commodities participating in the full reduction campaign is calculated, since not all commodities are participating in the full reduction campaign.
S104, calculating a difference value between the total price and the set full-reduction amount, and obtaining a price related value of each commodity participating in the full-reduction activity according to the ratio of the price of each commodity participating in the full-reduction activity to the difference value;
when the ratio of the price of the commodity participating in the full decreasing activity to the price difference is closer to 1, the commodity is more suitable for the bill decreasing activity, and the price related value of the commodity with the ratio closer to 1 is higher;
further, as an embodiment, when the total price of the commodity in the shopping cart is close to but not equal to the full reduction degree, the full reduction is difficult to be made with a more proper total price due to the fact that the full reduction is made, and when the ratio of the price of the commodity participating in the full deactivation activity to the difference is less than 1, the price related value is lower than that when the ratio of the price of the commodity participating in the full deactivation activity to the difference is more than 1.
S105, integrating the preference value and the price related value of each commodity, and calculating to obtain an integrated recommended value of each commodity.
When the comprehensive recommended value is calculated, the preference value and the price related value of the commodity are respectively subjected to weighted calculation, and the obtained comprehensive recommended value of the commodity can reflect the preference of the user to the commodity and also can reflect the fitness of the commodity to the full reduction of the order.
S106, according to the comprehensive recommended value of each commodity participating in the full-reduction activity, each commodity participating in the full-reduction activity is ranked.
That is, the higher the total recommended value, the higher the ranking in the display list.
When a user is in a bill making and full reduction activity, the user often needs to give priority to how to select commodities to enable the total price of the shopping cart to be close to the full reduction degree, and the priority of selecting the commodities needs to consider the full reduction amount and the commodity price instead of the preference value of the user to each commodity.
The invention can reflect the preference degree of the user to each commodity by marking a plurality of keywords on the commodity and calculating the preference value of each commodity according to the historical operation of the user, calculates the residual price value of the full reduction degree of the user by calculating the total price of the full reduction activity in the shopping cart and the difference between the total price and the full reduction degree, obtains the price related value of each commodity participating in the full reduction activity according to the ratio of the price of each commodity participating in the full reduction activity to the difference, integrates the price related value and the preference value, calculates the comprehensive recommended value, can reflect the preference of the user to the commodity and the full reduction fitness of the commodity to the reduction order, is convenient for the user to find out more suitable and needed commodities when the user completes the full reduction activity of the reduction order, and reduces the unnecessary searching time of the user when the full reduction activity of the reduction order is completed.
In one embodiment, when the items participating in the decreasing activity are sorted, the method further comprises:
adding a fine classification label to each commodity participating in the full subtraction activity according to the category of each commodity participating in the full subtraction activity;
and according to the comprehensive recommended value of each commodity participating in the full-subtractive activity, sorting the commodities according to the comprehensive recommended value from high to low, when the continuous occurrence times of the commodities with the same fine classification label exceed a first preset number or the total occurrence times of the commodities with the same fine classification label exceed a second preset number, reducing the preference value of the commodities with the fine classification label in the subsequent sorting, and recalculating the comprehensive recommended value and the sorting of the commodities with the fine classification label in the subsequent sorting.
Since the commodities in the same subdivided category often have more identical or similar keywords, the subdivided commodities are prone to be piled up when the sorting is recommended, and the user often does not need to purchase too many commodities in the same subdivided category, so that the preference value of the commodities with the subdivided category labels in subsequent sorting needs to be reduced when the situation occurs, but the commodities which are sorted before need not to be changed.
As an embodiment, when recording the operation of each commodity by the user, the method further includes:
the purchasing, collecting, shopping cart adding, clicking and searching operations of the user on the commodities are respectively recorded, different preference value weights are set for different operations, and preference values of the user on the commodities are calculated.
Different operations reflect different user preferences, such as purchasing a preference value weighted more heavily than favorites than searching.
As an embodiment, the price related value of each commodity participating in the full minus activity is obtained according to the ratio of the price of each commodity participating in the full minus activity to the difference, and the method further comprises:
setting a plurality of ratio intervals, and respectively setting price related value weights for different ratio intervals;
and calculating the price correlation value of each commodity participating in the full subtraction activity according to the ratio interval where the ratio of the price of each commodity participating in the full subtraction activity to the difference value is positioned.
Namely, the closer the price of the commodity participating in the full deactivation is to the difference value, the higher the weight of the price related value is, the higher the calculated price related value is, and the commodity is more suitable for being used for making a bill to be full reduced.
In one embodiment, when deriving the price-related value for each item participating in the satisfying activity, the method further comprises:
if the price related value of the item participating in the full deactivation is below the threshold, the item is not displayed in the ranking.
When the difference between the prices of the commodities participating in the full deactivation and the difference is too large, the commodity prices are too low and too high, the significance of full reduction of the order is small, the commodity is not recommended to be displayed, and when the difference is reduced, the commodity with the lower price reappears.
As an embodiment, the method further comprises:
and adjusting the threshold value according to an input instruction of a user.
The user can freely adjust the threshold value according to the shopping habit of the user.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. A method of ordering items for a cut-down event, comprising:
marking a plurality of key words for each commodity according to the attribute of each commodity;
recording the operation of the user on each commodity, counting the keywords of the operated commodity, and calculating the preference value of the user on each commodity according to the operation times of each keyword;
reading shopping cart data of a user, and calculating the total price of commodities participating in full deactivation in a shopping cart;
calculating a difference value between the total price and a set full-reduction amount, and obtaining a price related value of each commodity participating in the full-reduction activity according to a ratio of the price of each commodity participating in the full-reduction activity to the difference value;
synthesizing the preference value and the price correlation value of each commodity, and calculating to obtain a comprehensive recommended value of each commodity;
and sequencing the commodities participating in the full-reduction activity according to the comprehensive recommended value of the commodities participating in the full-reduction activity.
2. The merchandise push method for full deactivation according to claim 1, wherein when ordering the merchandise involved in the full deactivation, said method further comprises:
adding a fine classification label to each commodity participating in the full subtraction activity according to the category of each commodity participating in the full subtraction activity;
and according to the comprehensive recommended value of each commodity participating in the full-subtractive activity, sorting the commodities according to the comprehensive recommended value from high to low, when the continuous occurrence times of the commodities with the same fine classification label exceed a first preset number or the total occurrence times of the commodities with the same fine classification label exceed a second preset number, reducing the preference value of the commodities with the fine classification label in the subsequent sorting, and recalculating the comprehensive recommended value and the sorting of the commodities with the fine classification label in the subsequent sorting.
3. The method for sorting goods for a decreasing activity according to claim 1, wherein when the user's operation on each goods is recorded, the method further comprises:
respectively recording the purchasing, collecting, shopping cart adding, clicking and searching operations of the user on the commodity
And recording, setting different preference value weights for different operations, and calculating the preference value of the user for each commodity.
4. The method of claim 1, wherein the price-related value of each item participating in the full-minus activity is derived from a ratio of the price of each item participating in the full-minus activity to the difference, the method further comprising:
setting a plurality of ratio intervals, and respectively setting price related value weights for different ratio intervals;
and calculating the price correlation value of each commodity participating in the full subtraction activity according to the ratio interval where the ratio of the price of each commodity participating in the full subtraction activity to the difference value is positioned.
5. The method of claim 1, wherein in deriving a price relevance value for each item participating in a full reduction activity, the method further comprises:
if the price related value of the item participating in the full deactivation is below the threshold, the item is not displayed in the ranking.
6. The method of merchandise ordering for a abatement activity of claim 5, wherein the method further comprises:
and adjusting the threshold value according to an input instruction of a user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910954599.5A CN110930214A (en) | 2019-10-09 | 2019-10-09 | Commodity sorting method for full-subtractive activities |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910954599.5A CN110930214A (en) | 2019-10-09 | 2019-10-09 | Commodity sorting method for full-subtractive activities |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110930214A true CN110930214A (en) | 2020-03-27 |
Family
ID=69848809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910954599.5A Withdrawn CN110930214A (en) | 2019-10-09 | 2019-10-09 | Commodity sorting method for full-subtractive activities |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110930214A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523967A (en) * | 2020-04-01 | 2020-08-11 | 支付宝(杭州)信息技术有限公司 | Interactive processing method and device for shopping cart article management and electronic equipment |
| CN111639989A (en) * | 2020-04-28 | 2020-09-08 | 上海风秩科技有限公司 | Commodity recommendation method and readable storage medium |
| CN113191803A (en) * | 2021-04-28 | 2021-07-30 | 精点视界(深圳)科技有限公司 | Big data based face recognition advertisement service system and method |
| CN113379511A (en) * | 2021-07-02 | 2021-09-10 | 北京沃东天骏信息技术有限公司 | Method and apparatus for outputting information |
| CN113435960A (en) * | 2021-06-04 | 2021-09-24 | 北京沃东天骏信息技术有限公司 | Virtual article display method and device, electronic equipment and computer readable medium |
| CN113763068A (en) * | 2020-06-28 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Object recommendation method, device, equipment and storage medium |
| CN115018501A (en) * | 2022-06-28 | 2022-09-06 | 深圳海天力电子商务有限公司 | Shopping coupon use recommendation method and device for shopping mall website, electronic equipment and medium |
-
2019
- 2019-10-09 CN CN201910954599.5A patent/CN110930214A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523967A (en) * | 2020-04-01 | 2020-08-11 | 支付宝(杭州)信息技术有限公司 | Interactive processing method and device for shopping cart article management and electronic equipment |
| CN111639989A (en) * | 2020-04-28 | 2020-09-08 | 上海风秩科技有限公司 | Commodity recommendation method and readable storage medium |
| CN111639989B (en) * | 2020-04-28 | 2024-02-02 | 上海秒针网络科技有限公司 | Commodity recommendation method and readable storage medium |
| CN113763068A (en) * | 2020-06-28 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Object recommendation method, device, equipment and storage medium |
| CN113191803A (en) * | 2021-04-28 | 2021-07-30 | 精点视界(深圳)科技有限公司 | Big data based face recognition advertisement service system and method |
| CN113435960A (en) * | 2021-06-04 | 2021-09-24 | 北京沃东天骏信息技术有限公司 | Virtual article display method and device, electronic equipment and computer readable medium |
| CN113379511A (en) * | 2021-07-02 | 2021-09-10 | 北京沃东天骏信息技术有限公司 | Method and apparatus for outputting information |
| CN115018501A (en) * | 2022-06-28 | 2022-09-06 | 深圳海天力电子商务有限公司 | Shopping coupon use recommendation method and device for shopping mall website, electronic equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110930214A (en) | Commodity sorting method for full-subtractive activities | |
| CN106503258B (en) | Accurate searching method in website | |
| CN110197415A (en) | A kind of recommended method, device, electronic equipment and readable storage medium storing program for executing | |
| WO2016150354A1 (en) | Method and system for classifying users of e-commerce platform | |
| CN109087177A (en) | To the method, apparatus and computer readable storage medium of target user's Recommendations | |
| Scholz et al. | Using PageRank for non-personalized default rankings in dynamic markets | |
| CN105190673A (en) | System and method for generating recommendations | |
| CN111325609A (en) | Commodity recommendation list determining method and device, electronic equipment and storage medium | |
| US20140129333A1 (en) | Advertising system, advertising system control method, program, and information storage medium | |
| CN106846019A (en) | A kind of information delivers the screening technique and equipment of user | |
| TWI652639B (en) | Recommended system and method of product promotion combination | |
| CN109064293A (en) | Method of Commodity Recommendation, device, computer equipment and storage medium | |
| CN112150227A (en) | Commodity recommendation method, system, device and medium | |
| CN110378770A (en) | A kind of method and device that e-commerce operation selects money to recommend | |
| CN111310038A (en) | Information recommendation method and device, electronic equipment and computer-readable storage medium | |
| US20140164170A1 (en) | Configurable multi-objective recommendations | |
| CN115578163A (en) | Personalized pushing method and system for combined commodity information | |
| CN110727859A (en) | Recommendation information pushing method and device | |
| KR20160131477A (en) | An e-commerce system based on interest category using related keywords | |
| JP2017116977A (en) | Predicting device, predicting method, and predicting program | |
| CN109255645B (en) | Consumption prediction method and device and electronic equipment | |
| CN112651805B (en) | Commodity recommendation method and system for online mall | |
| CN108335171A (en) | A kind of disappear soon product accurate recommendation method and system | |
| JP5506123B2 (en) | ADVERTISING SYSTEM, ADVERTISING SYSTEM CONTROL METHOD, PROGRAM, AND INFORMATION STORAGE MEDIUM | |
| EP3503010A1 (en) | Information processing device, information processing method, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200327 |