CN108053295A - A kind of method and apparatus of Brand sequence - Google Patents
A kind of method and apparatus of Brand sequence Download PDFInfo
- Publication number
- CN108053295A CN108053295A CN201711485601.6A CN201711485601A CN108053295A CN 108053295 A CN108053295 A CN 108053295A CN 201711485601 A CN201711485601 A CN 201711485601A CN 108053295 A CN108053295 A CN 108053295A
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- Prior art keywords
- brand
- score
- user
- preset
- purchase
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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
-
- 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
Abstract
The invention discloses a kind of Brand sequence method and apparatus, including：Crawl user behavior of the sample of users within preset first time；Purchase situation of all users to commodity in preset classification is counted according to the user behavior, the purchase situation includes quantity purchase, brand navigation category and brand browsing quantity；For each user, the quantity purchase and the ratio of brand browsing quantity are obtained, and using the ratio as user's score of each brand navigation category；Obtain the score summation of all user's scores of each brand navigation category；Brand in the preset classification is ranked up according to the score summation is descending.Solves the technical issues of existing Brand sortord is without universality.
Description
Technical field
The present invention relates to the method and apparatus that Internet technical field more particularly to a kind of Brand sort.
Background technology
With the expansion of electric business scale, the commodity that the user of commodity is more and more, is sold by electric business are bought in electric business
Also it is more and more.
At present, there are two types of the electric business displaying common modes of commodity, one kind is to pass through keyword search；Another is to pass through
Classification is recommended, for example " women's dress " has a large amount of brands, and " men's clothing " also has substantial amounts of brand.What these brands and these brands provided
Commodity, in displaying list, the general popularity by brand sorts to brand, and it is all big shot in commodity to sort forward.
However user finds certain commodity, and it is famous not necessarily to pursue certain.So existing Brand sequence
Mode does not have universality, is particularly unsuitable for the weaker user of purchasing power.
The content of the invention
The present invention provides a kind of method and apparatus of Brand sequence, solve existing Brand sortord
The technical issues of without universality.
The present invention provides a kind of Brand sequence method, including：
Crawl user behavior of the sample of users within preset first time；
All users are counted to the purchase situation of commodity in preset classification, the purchase situation bag according to the user behavior
Include quantity purchase, brand navigation category and brand browsing quantity；
For each user, the quantity purchase and the ratio of brand browsing quantity are obtained, and the ratio is made
For user's score of each brand navigation category；
Obtain the score summation of all user's scores of each brand navigation category；
Brand in the preset classification is ranked up according to the score summation is descending.
Preferably,
The method of the Brand sequence, further includes：
Shopping frequency is chosen from all net purchase users and is more than the net purchase user of predetermined frequency as the sample of users.
Preferably,
After the score summation of all user's scores of each brand navigation category is obtained, further include：
By the score summation of each brand navigation category respectively plus preset basis point, to reduce the brand
Order of magnitude difference between the score summation of navigation category.
Preferably,
The preset basis is divided into the standard deviation of all score summations, the average of all score summations, institute
The median for having the score summation or the Brand score summation for being arranged in preset digit.
Preferably,
After the score summation of all user's scores of each brand navigation category is obtained, according to the score
Summation is descending Brand in the preset classification is ranked up before, further include：
Extra bonus point or deduction are carried out to the score summation of the preset brand navigation category.
The present invention provides a kind of Brand sequence device, including：
Unit is crawled, for crawling user behavior of the sample of users within preset first time；
Statistic unit, for counting purchase situation of all users to commodity in preset classification according to the user behavior,
The purchase situation includes quantity purchase, brand navigation category and brand browsing quantity；
First acquisition unit, for for each user, obtaining the quantity purchase and the ratio of brand browsing quantity
Value, and using the ratio as user's score of each brand navigation category；
Second acquisition unit, for obtaining the score summation of all user's scores of each brand navigation category；
Sequencing unit, for being arranged according to the score summation is descending Brand in the preset classification
Sequence.
Preferably,
The device of the Brand sequence, further includes：
Sample of users chooses unit, and the net purchase that predetermined frequency is more than for choosing shopping frequency from all net purchase users is used
Family is as the sample of users.
Preferably,
The device of the Brand sequence, further includes：
Order of magnitude difference processing unit, it is pre- for the score summation of each brand navigation category to be added respectively
Basis point is put, to reduce the order of magnitude difference between the score summation of the brand navigation category.
Preferably,
The preset basis is divided into the standard deviation of all score summations, the average of all score summations, institute
The median for having the score summation or the Brand score summation for being arranged in preset digit.
Preferably,
The device of the Brand sequence, further includes：
Extra process unit, for carrying out extra bonus point to the score summation of the preset brand navigation category or subtracting
Point.
As can be seen from the above technical solutions, the present invention has the following advantages：
User behavior of the sample of users within preset first time is crawled, all users couple are then counted according to user behavior
The purchase situation of commodity in preset classification, purchase situation include quantity purchase, brand navigation category and brand browsing quantity；For
Each user obtains quantity purchase and the ratio of brand browsing quantity, and using ratio as the user of each brand navigation category
Score；Obtain the score summation of all user's scores of each brand navigation category；It is descending to preset according to score summation
Brand is ranked up in classification；Because the commodity of purchase and the Brand of browsing could really embody the need of user
It asks, so the present invention carries out the sequence of Brand according to the commodity purchasing situation of user so that the brand that user really needs
Come front, more practicability and universality.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is the flow diagram of the first embodiment of the method for Brand provided by the invention sequence；
Fig. 2 is the flow diagram of the second embodiment of the method for Brand provided by the invention sequence；
Fig. 3 is the structure diagram of the first embodiment of the device of Brand provided by the invention sequence；
Fig. 4 is the structure diagram of the second embodiment of the device of Brand provided by the invention sequence.
Specific embodiment
An embodiment of the present invention provides a kind of method and apparatus of Brand sequence, solve existing Brand row
Sequential mode does not have the technical issues of universality.
Inventor has found that user has purchased some commodity under study for action, it may be said that bright to have practical demand to these commodity；
But certain commodity is specifically bought, it may be restricted be subject to economic problems；However during user buys commodity, browsing
All it is relevant brand, is all the brand that user is concerned about, for example, a user has bought a pair of after 5 shoes brands have been browsed
Footwear, then not only the brand of this pair of footwear has reference value, this 5 shoes brands of user's browsing all have referential.
Therefore rational Brand sequence needs to consider the situation of the commodity purchasing situation of user and browsing commodity.
Goal of the invention, feature, advantage to enable the present invention is more apparent and understandable, below in conjunction with the present invention
Attached drawing in embodiment is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Scope.
Referring to Fig. 1, the flow diagram of the first embodiment of the method for Brand sequence provided by the invention.
The present invention provides a kind of Brand sequence method first embodiment, including：
Step 101, user behavior of the sample of users within preset first time is crawled.
Because crawling as the prior art, it is not detailed herein.
User behavior includes the content of time, place, personage, interaction and interaction, for example user searches for an event, assorted
On time, what platform, which ID, done search and search content what is.
In the present embodiment, user behavior is primarily referred to as user behavior of the user in terms of shopping.
Step 102, purchase situation of all users to commodity in preset classification is counted according to user behavior, buys situation bag
Include quantity purchase, brand navigation category and brand browsing quantity.
Preset classification can be divided according to actual needs, for example, can be simply divided into men's clothing, women's dress, women's boots with
And cap etc., category division can also be according to keyword carried out, such as user has input " sport footwear ", can push a series of product
Board.
Step 103, for each user, quantity purchase and the ratio of brand browsing quantity are obtained, and using ratio as every
User's score of a brand navigation category.
For example, a user has purchased 10 commodity within preset first time, 8 commodity belong to women's dress, 2 commodity categories
In women's boots, and the brand of user's women's dress within preset first time browsing quantity is 20, and the brand browsing quantity of women's boots is 1
It is a, then the score of this 20 Women's dress brands browsed from the user is 8/20=0.04 point, and user browses and buys
This women's boots brand is scored at 2/1=2 points.
If user does not have some browsed brand, then the brand is scored at zero.
Step 104, the score summation of all user's scores of each brand navigation category is obtained.
Step 105, Brand in preset classification is ranked up according to score summation is descending.
Referring to Fig. 2, the flow diagram of the second embodiment of the method for Brand sequence provided by the invention.
The present invention provides a kind of Brand sequence method second embodiment, including：
Step 201, shopping frequency is chosen from all net purchase users and is more than the net purchase user of predetermined frequency as sample use
Family.
It should be noted that Brand sequence is just significant for the user group of frequent net purchase, so this implementation
The user that example selects shopping frequency high is as sample of users；In addition, the behavior of the mankind has typical group feature, it is exactly big portion
Divide people that most things are taken with the mode followed, this group feature is especially apparent with being embodied in purchase, so this reality
It applies example and is sorted by studying the Brand that sample of users determines, be applicable for all shopping crowds.
Step 202, user behavior of the sample of users within preset first time is crawled.
Step 202 is identical with the content of step 101 in the application first embodiment, and specific descriptions may refer to the first implementation
The content of example step 101, details are not described herein.
Step 203, purchase situation of all users to commodity in preset classification is counted according to user behavior, buys situation bag
Include quantity purchase, brand navigation category and brand browsing quantity.
Step 203 is identical with the content of step 102 in the application first embodiment, and specific descriptions may refer to the first implementation
The content of example step 102, details are not described herein.
Step 204, for each user, quantity purchase and the ratio of brand browsing quantity are obtained, and using ratio as every
User's score of a brand navigation category.
Step 204 is identical with the content of step 103 in the application first embodiment, and specific descriptions may refer to the first implementation
The content of example step 103, details are not described herein.
Step 205, the score summation of all user's scores of each brand navigation category is obtained.
Step 205 is identical with the content of step 104 in the application first embodiment, and specific descriptions may refer to the first implementation
The content of example step 104, details are not described herein.
Step 206, extra bonus point or deduction are carried out to the score summation of preset brand navigation category.
For example, having, Brand value is higher, can carry out extra bonus point to these Brands；The number of bonus point and deduction
Value can be adjusted according to actual needs.
Step 207, Brand in preset classification is ranked up according to score summation is descending.
It should be noted that the score summation in step 207 is by extra bonus point or deduction treated result.
Step 208, by the score summation of each brand navigation category respectively plus preset basis point, to reduce brand browsing
Order of magnitude difference between the score summation of classification.
For example, under some preset classification, Brand shares 100, the score summation finally calculated from a few minutes to
Tens differ very much, if with such result carry out it is subsequent summarize and count, may make troubles, such as in excel tables
Display in lattice is inconvenient, and score summation can normally show for a few minutes, score summation for tens very much cannot be normal
Display.
Preset basis point can be constant, or variable is specifically as follows the standard deviation of all score summations, owns
The average of score summation, all score summations median or be arranged in the Brand score summation of preset digit.
Preset basis point can carry out value, such as 100 Brands after the completion of sequence, can take the 15th commodity
The score summation of brand.
It should be noted that if preset basis is divided into the Brand score summation for being arranged in preset digit, then step
Rapid 208 need to carry out after step 207；If preset basis is divided into the standard deviation of all score summations and all score summations
Average, it is unrelated with ranking results, then step 208 need not carry out after step 207.
Referring to Fig. 3, the structure diagram of the first embodiment of the device of Brand sequence provided by the invention.
The present invention provides a kind of Brand sequence device first embodiment, including：
Unit 301 is crawled, for crawling user behavior of the sample of users within preset first time.
Statistic unit 302, for counting purchase situation of all users to commodity in preset classification, purchase according to user behavior
Buying situation includes quantity purchase, brand navigation category and brand browsing quantity.
First acquisition unit 303, for for each user, acquisition quantity purchase to browse the ratio of quantity with brand, and
Using ratio as user's score of each brand navigation category.
Second acquisition unit 304, for obtaining the score summation of all user's scores of each brand navigation category.
Sequencing unit 305, for being ranked up according to score summation is descending to Brand in preset classification.
Referring to Fig. 4, the structure diagram of the second embodiment of the device of Brand sequence provided by the invention.
The present invention provides a kind of Brand sequence device second embodiment, including：
Sample of users chooses unit 401, for choosing the net that shopping frequency is more than predetermined frequency from all net purchase users
User is purchased as sample of users.
Unit 402 is crawled, for crawling user behavior of the sample of users within preset first time.
Statistic unit 403, for counting purchase situation of all users to commodity in preset classification, purchase according to user behavior
Buying situation includes quantity purchase, brand navigation category and brand browsing quantity.
First acquisition unit 404, for for each user, acquisition quantity purchase to browse the ratio of quantity with brand, and
Using ratio as user's score of each brand navigation category.
Second acquisition unit 405, for obtaining the score summation of all user's scores of each brand navigation category.
Extra process unit 406, for carrying out extra bonus point or deduction to the score summation of preset brand navigation category.
Sequencing unit 407, for being ranked up according to score summation is descending to Brand in preset classification.
Order of magnitude difference processing unit 408, for the score summation of each brand navigation category to be added preset base respectively
Plinth point, to reduce the order of magnitude difference between the score summation of brand navigation category.
Wherein preset basis point can be the average, all of the standard deviations of all score summations, all score summations
The median of point summation or the Brand score summation for being arranged in preset digit.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or carry out equivalent substitution to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is not made to depart from the spirit and scope of various embodiments of the present invention technical solution.
Claims (10)
- A kind of 1. method of Brand sequence, which is characterized in that including：Crawl user behavior of the sample of users within preset first time；Purchase situation of all users to commodity in preset classification is counted according to the user behavior, the purchase situation includes purchase Buy quantity, brand navigation category and brand browsing quantity；For each user, the quantity purchase and the ratio of brand browsing quantity are obtained, and using the ratio as every User's score of a brand navigation category；Obtain the score summation of all user's scores of each brand navigation category；Brand in the preset classification is ranked up according to the score summation is descending.
- 2. the method for Brand sequence according to claim 1, which is characterized in that further include：Shopping frequency is chosen from all net purchase users and is more than the net purchase user of predetermined frequency as the sample of users.
- 3. the method for Brand sequence according to claim 1, which is characterized in that obtaining each brand browsing After the score summation of all user's scores of classification, further include：By the score summation of each brand navigation category respectively plus preset basis point, browsed with reducing the brand Order of magnitude difference between the score summation of classification.
- 4. the method for Brand sequence according to claim 3, which is characterized in that the preset basis is divided into all institutes State the standard deviation of score summation, the average of all score summations, all score summations median or be arranged in The Brand score summation of preset digit.
- 5. the method for Brand sequence according to claim 1, which is characterized in that obtaining each brand browsing After the score summation of all user's scores of classification, according to the score summation it is descending to the preset classification in business Before product brand is ranked up, further include：Extra bonus point or deduction are carried out to the score summation of the preset brand navigation category.
- 6. a kind of device of Brand sequence, which is characterized in that including：Unit is crawled, for crawling user behavior of the sample of users within preset first time；Statistic unit, it is described for counting purchase situation of all users to commodity in preset classification according to the user behavior Purchase situation includes quantity purchase, brand navigation category and brand browsing quantity；First acquisition unit, for for each user, obtaining the quantity purchase and the ratio of brand browsing quantity, and Using the ratio as user's score of each brand navigation category；Second acquisition unit, for obtaining the score summation of all user's scores of each brand navigation category；Sequencing unit, for being ranked up according to the score summation is descending to Brand in the preset classification.
- 7. the device of Brand sequence according to claim 6, which is characterized in that further include：Sample of users chooses unit, and the net purchase user that predetermined frequency is more than for choosing shopping frequency from all net purchase users makees For the sample of users.
- 8. the device of Brand sequence according to claim 6, which is characterized in that further include：Order of magnitude difference processing unit, for the score summation of each brand navigation category to be added preset base respectively Plinth point, to reduce the order of magnitude difference between the score summation of the brand navigation category.
- 9. the device of Brand sequence according to claim 8, which is characterized in that the preset basis is divided into all institutes State the standard deviation of score summation, the average of all score summations, all score summations median or be arranged in The Brand score summation of preset digit.
- 10. the device of Brand sequence according to claim 6, which is characterized in that further include：Extra process unit, for carrying out extra bonus point or deduction to the score summation of the preset brand navigation category.
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| CN201711485601.6A CN108053295A (en) | 2017-12-29 | 2017-12-29 | A kind of method and apparatus of Brand sequence |
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| CN201711485601.6A CN108053295A (en) | 2017-12-29 | 2017-12-29 | A kind of method and apparatus of Brand sequence |
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Application publication date: 20180518 |