CN108510375A - Online commodity shopping analysis system - Google Patents
Online commodity shopping analysis system Download PDFInfo
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- CN108510375A CN108510375A CN201810362533.2A CN201810362533A CN108510375A CN 108510375 A CN108510375 A CN 108510375A CN 201810362533 A CN201810362533 A CN 201810362533A CN 108510375 A CN108510375 A CN 108510375A
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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
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
Abstract
The invention discloses a kind of online commodity shopping analysis systems, it is related to networked shopping system field, the present invention includes browsing logging modle, parameter extraction module, report generation module, publication promotional module and the Point Management Module of signal connection successively, parameter extraction module also signal is connected with database, and report generation module also signal is connected with pushing module；The merchandise news for the more than one piece commodity selected according to user carries out scoring ranking, and it is for reference finally to generate comparative analysis report according to ranking and merchandise news；And comparative analysis can be reported and be shared with good friend, when good friend buys the commodity in comparative analysis report, the user shared can also earn integral.The present invention solves the problems, such as that existing shopping platform cannot be supplied to user to choose help and check repeatedly and browse commodity, is mainly used for improving the shopping efficiency of user and enhancing user's shopping experience.
Description
Technical field
The present invention relates to networked shopping system field, more particularly to a kind of online commodity shopping analysis system.
Background technology
With the continuous development of science and technology, people's living standards continue to improve, shopping at network technology have obtained rapidly
Development, the daily consumption pattern of people have been consumed gradually to be transformed on line under line and consumed.But since online businessman is more, product
Board is more, and the type for choosing big, the optional commodity of range of customer is various.Customer will often get a good buy by shopping around, one by one in the free choice of goods
Purchase target is determined again after browsing each part commodity.
At this moment usually there are following several situations：First, after customer has browsed commodity, feel to certain part commodity before more
It is satisfied, it at this moment can not remember the specific name of the commodity again；Second, the commodity of same type, although style is similar, note is not
When shop is selected before, the price of the commodity is how many clearly；Third thinks that certain two pieces commodity is substantially similar, but due to remembering not
The details of commodity, can not make decision before clear.
For the first situation, customer's commodity browsed before can only searching one by one again are found favorite with fortune
Commodity.For second and the third situation, commodity are searched in shop before needing to return in the case where customer remembers trade name
It is compared again, and if customer does not remember trade name clearly, it can only just search one by one.To which customer needs instead to compare commodity
The page for entering commodity again carries out checking browsing, is finally easy to cause customer and has difficulty in choosing without knowing which part commodity this buys, both unrestrained
Take the time, and affected shopping efficiency, also reduces shopping experience.
Invention content
The invention is intended to provide a kind of online commodity shopping analysis system, comparative analysis report can be generated and joined for user
It examines, helps user's free choice of goods, additionally it is possible to earn integral by sharing comparative analysis report.
In order to solve the above technical problems, base case provided by the invention is as follows：
Online commodity shopping analysis system, including the browsing logging modle, parameter extraction module of signal connection, report successively
Generation module, publication promotional module and Point Management Module, parameter extraction module also signal are connected with database, report generation mould
Block also signal is connected with pushing module；
The database is previously stored with and each commodity merchandise news correspondingly；
The browsing logging modle browses the commodity selected after commodity for recording user, and the commodity is sent to ginseng
Number extraction module；
The parameter extraction module, for being transferred into database according to commodity, accordingly merchandise news is sent to commodity
Report generation module；
The report generation module scores to commodity according to merchandise news, and carries out ranking according to scoring, is additionally operable to
Comparative analysis report, which is generated, according to ranking and merchandise news is sent to pushing module and publication promotional module；
The pushing module, for showing that comparative analysis is reported；
The publication promotional module reports and generates link being shared with good friend for receiving comparative analysis；
The Point Management Module, when good friend buys the commodity in comparative analysis report according to link, integration managing
Module carries out reward on total mark to the user for sharing the comparison report.
The operation principle of base case：After user browses to satisfied commodity and selectes, browsing logging modle record is used
Family browses the commodity selected after commodity, and the commodity are sent to parameter extraction module；Parameter extraction module is according to commodity to number
According to being transferred in library, accordingly merchandise news is sent to report generation module with commodity；Report generation module is according to merchandise news to quotient
Product score, and carry out ranking according to scoring, and generating comparative analysis report further according to ranking and merchandise news is sent to push
Module and publication promotional module；Pushing module shows comparative analysis report to user, to which user can refer to the comparative analysis report
Accuse the most worth purchase of any part commodity in oneself clear selected commodity；Publication promotional module receives comparative analysis and reports and generate link
It is shared with good friend, to which user can share the achievement of self-selection to good friend, while realizing the promotional of commodity；It is a good
When friend buys the commodity in comparative analysis report according to link, Point Management Module carries out the user for sharing the comparison report
Reward on total mark, such as increase the integral of user, the integral can be used to buy commodity to cash purchase for user.
Base case has the beneficial effect that：1, compared with existing shopping platform, the report generation module root in the present invention
The merchandise news for the more than one piece commodity selected according to user carries out scoring ranking, finally generates comparative analysis according to ranking and merchandise news
It reports for reference, the merchandise news pair of oneself selected all commodity is checked to which user can be reported by comparative analysis
Than, and the sequence ranking of the most worth purchase of commodity is viewed, user is avoided in order to compare the page that commodity enter commodity repeatedly
It carries out checking browsing, finally has difficulty in choosing without knowing the case where this buys which part commodity, and then improve shopping efficiency, enhance purchase
Object is tested.
2, the publication promotional module in the present invention, which receives, generates link after comparative analysis report and is shared with good friend, good friend according to
When the commodity in comparative analysis report are bought in link, Point Management Module carries out integral prize to the user for sharing the comparison report
It encourages, to which user can also share the achievement oneself chosen while the free choice of goods to good friend, had not only increased the enjoyment shared, but also
Integral can be earned, the interactivity between user is enhanced.
Further, merchandise news includes commodity parameter, and the report generation module is by every commodity parameter according to default rule
It then scores, and every commodity parameter scores is summed to obtain total score, ranking is carried out according to total score, further according to ranking and commodity
Information generates comparative analysis report.
Merchandise news includes the commodity parameter of multiple dimensions, such as:Sales volume, price and logistics etc., using report generation
Module scores to every commodity parameter according to preset rules, and sums to obtain total score to every commodity parameter scores, according to
Total score carries out commodity the mode of ranking, can evaluate whether the commodity are worth purchase from multiple dimensions, to increase the comparison
The reference value of analysis report.
Further, the report generation module also signal is connected with weight distribution module, and weight distribution module is for distributing
The weight of every commodity parameter, and the weight of every commodity parameter is sent to report generation module；The report generation module
Total score is obtained for being weighted summation to every commodity parameter scores according to the weight of every commodity parameter.
Different users is different to the emphasis degree of commodity parameter, such as the client having more values the sales volume of commodity, has
User more value the evaluations of commodity, so the setting of weight distribution module can distribute the weight of commodity parameter, for example, weight
The weight distribution of sales volume, price and logistics is 50%, 30% and 20% by distribution module, and report generation module is joined according to items
Several weights is weighted summation to every commodity parameter scores and obtains the total score of the commodity, to which weight distribution module assignment is given
The weighted of every commodity parameter, the obtained total score ranking of commodity will be different, can more be carried according to the demand of different user
It is reported for targetedly comparative analysis.
Further, the preset rules include to every commodity parameter divided rank and grade interval, for each grade
Section is provided with default score value, and the default score value of every affiliated grade interval of commodity parameter is the scoring.
Using above-mentioned design, when the value of commodity parameter is fallen in some grade interval, the scoring of this commodity parameter
It is just the default score value of the grade interval, for example, when commodity parameter is moon sales volume, the division of the grade interval of sales volume includes
Level-one, two level, three-level, the corresponding sales volume section of level-one, two level, three-level is respectively 0~100,100~200,200~
300, the corresponding default score value of level-one, two level, three-level is respectively：20 points, 30 points, 50 points, when a certain commodity that user selectes
Moon sales volume it is practical be 150 when, which falls in the range of two level, thus the commodity the moon sales volume scoring be 30
Point.
Further, the weight distribution module also signal is connected with browsing statistical module, and browsing statistical module is for recording
And the browsing data of counting user, and statistical result is sent to weight distribution module, weight distribution module is additionally operable to according to system
Result is counted to every commodity parametric distribution weight.
The browsing data of statistical module record and counting user are browsed, for example, in browsing statistical module record user's half a year
The keyword that browsing commodity are often clicked, and keyword is ranked up, keyword can be the words such as sales volume, evaluation, from
And can conclude that the direction focused in user's shopping, it is distributed to before and after sorting further according to keyword and keyword correspondingly quotient
The weight proportion of product parameter.
Further, the weight distribution module is additionally operable to receive the command information of user, and according to command information to items
Commodity parametric distribution weight.
Weight distribution module distributes the weight of every commodity parameter according to the command information of user, to which user can be certainly
The weight for the commodity parameter taken a fancy to mainly oneself divides.
Further, the commodity parameter includes sales volume, price, evaluation and logistics.
It is typically the information such as the sales volume for seeing commodity, price, evaluation and flow situation, therefore to these when people do shopping
The scoring of parameter is weighted summation and obtains total score and can more objectively be compared to commodity.
Further, the report generation module also signal is connected with grade classification module, and grade classification module is for counting
The parameter information of the commodity parameter of similar commodity, and according to parameter information to commodity parameter divided rank and grade interval.
When commodity parameter is sales volume, grade classification module counts the sales information of similar offtake, and root
According to the sales information to sales volume divided rank and grade interval, for example, the sales volume of such clothes is divided into level-one, two
Grade, three-level, the how corresponding sales volume section of level-one, two level, three-level are M1~M2、M2~M3、M3~M4, when grade classification module is united
Count similar clothes sales volume it is less when, the how corresponding sales volume section of level-one, two level, three-level is：0~100,100~200
Part, 200~300；When the similar clothes sales volume of grade classification module statistics is more, the how corresponding pin of level-one, two level, three-level
The amount of selling section is：100~500,500~800,800~1000, to which grade classification module is realized to commodity parameter
The adjust automatically of grade and section of equal value.
Description of the drawings
Fig. 1 is the logic diagram of the online commodity shopping analysis system embodiment of the present invention.
Specific implementation mode
Below by the further details of explanation of specific implementation mode：
As shown in Figure 1, the online commodity shopping analysis system of the present invention, including successively the browsing logging modle of signal connection,
Parameter extraction module, report generation module, publication promotional module and Point Management Module, parameter extraction module also signal are connected with
Database, report generation module also signal are connected with pushing module, weight distribution module and grade classification module, weight distribution mould
Block also signal is connected with browsing statistical module and user terminal, and the user terminal in the present embodiment is mobile phone；
Database is previously stored with all commodity merchandise news correspondingly, can utilize the existing quotient of electric business website
Product database, wherein merchandise news include commodity parameter and details, and commodity parameter includes sales volume, price, evaluation and object
Information, the details such as stream may include the information such as size, style, material and the brand of commodity；
Logging modle is browsed, browses the commodity selected after commodity for recording user, and the commodity are sent to parameter and are carried
Modulus block；
Parameter extraction module, for being transferred into database according to commodity, accordingly merchandise news is sent to report with commodity
Generation module；
Statistical module is browsed, the browsing data for recording simultaneously counting user, and statistical result is sent to weight distribution
Module；
Weight distribution module, for giving every commodity parametric distribution weight according to statistical result, and by every commodity parameter
Weight be sent to report generation module；
Grade classification module, the parameter information of the commodity parameter for counting similar commodity, and according to parameter information to quotient
Product parameter divided rank and grade interval, and grade and grade interval are sent to report generation module；
Report generation module scores every commodity parameter in merchandise news according to preset rules, specifically, in advance
If rule is:The grade and grade interval that grade classification module divides are received, is arranged for each grade interval and presets score value, respectively
The default score value of the item affiliated grade interval of commodity parameter is the scoring；Every commodity are joined according to the weight of every commodity parameter
Number scoring is weighted summation and obtains total score, and ranking is carried out according to total score, and comparative analysis is generated further according to ranking and merchandise news
Report is sent to pushing module and publication promotional module；
Pushing module, for showing that comparative analysis is reported；
Promotional module is issued, reports and generate link being shared with good friend for receiving comparative analysis；
Point Management Module, when good friend buys the commodity in comparative analysis report according to link, Point Management Module
User to sharing the comparison report carries out reward on total mark.
The specific implementation flow of the online commodity shopping analysis system is：
One, user selectes commodity
After user browses to satisfied commodity and selectes, browsing logging modle record user browses the quotient selected after commodity
Product, and the commodity are sent to parameter extraction module；Parameter extraction module is transferred into database according to selected commodity and quotient
Accordingly merchandise news is sent to report generation module to product.
Two, weight distribution module assignment weight
Browsing statistical module is connected with by weight distribution module also signal in this present embodiment, browsing statistical module record is simultaneously
The browsing data of counting user, and statistical result is sent to weight distribution module, for example, browsing statistical module record user half
The keyword that browsing commodity are often clicked in year, and keyword is ranked up, keyword can be the words such as sales volume, evaluation
Language, so as to infer the direction focused in user's shopping, so before and after weight distribution module can sort according to keyword
It distributes to the weight proportion with keyword correspondingly commodity parameter, and the weight of every commodity parameter is sent to report generation
Module；
For example, in a kind of preferred mode, the keyword of click in browsing statistical module counts to certain user's half a year
Quantity is from high to low：Sales volume, price, evaluation and logistics, therefore weight distribution module is by sales volume, price, evaluation and object
The weight distribution of stream is 40%, 30%, 20% and 10%；In another example being clicked in browsing statistical module counts to certain user's half a year
The quantity of keyword be from high to low：Evaluation, price, sales volume and logistics, thus weight distribution module by evaluation, price,
Sales volume and the weight distribution of logistics are 40%, 30%, 20% and 10%.
Certainly, in another preferred mode, weight distribution module can also distribute each according to the command information of user
The weight of commodity parameter, specifically, user being capable of oneself setting sales volume, price, evaluation and logistics this four commodity parameters
Weighted value, the weight for the commodity parameter that can automatically take a fancy to oneself to user divides.
Different users is different to the emphasis degree of commodity parameter, such as the client having more values the sales volume of commodity, has
User more value the evaluations of commodity, so weight distribution module assignment gives the weighted of every commodity parameter, obtained by commodity
The total score ranking arrived will be different, and more can provide targetedly comparative analysis according to the demand of different user reports.
Three, grade classification module divided rank
Grade classification module counts the parameter information of the commodity parameter of similar commodity, and according to parameter information to commodity parameter
Divided rank section, and grade interval is sent to report generation module.Specifically, when commodity parameter is sales volume, user
Selected commodity are clothes, and grade classification module counts the sales information of similar clothes sales volume, and according to the sales information
To sales volume divided rank section, for example, the sales volume of such clothes is divided into level-one, two level, three-level, level-one, two level, three
The corresponding sales volume section of grade is M1~M2、M2~M3、M3~M4, when the similar clothes sales volume of grade classification module statistics is less
When, the corresponding sales volume section of level-one, two level, three-level is：0~100,100~200,200~300；Work as grade classification
When the similar clothes sales volume of module statistics is more, the how corresponding sales volume section of level-one, two level, three-level is：100~500,
500~800,800~1000.Wherein, the quantity of grade is not limited to the three grades in the present embodiment, can be with root
Multiple grades are divided according to actual needs, and the numerical values recited of grade interval can also be configured according to actual needs, to
Grade classification module realizes the adjust automatically to commodity parameter level and section of equal value.
Four, report generation module generates comparative analysis report
The generation of 1 preset rules
Preset rules are built in report generation module, and preset rules are believed according to the commodity that report generation module receives
The grade and grade interval of breath, the weight distribution of commodity parameter and commodity parameter generate.
2, preset rules are illustrated
Assuming that commodity parameter includes sales volume, price, evaluation and logistics, sales volume, price, the weight point of evaluation and logistics
With for W1、W2、W3And W4(when commodity parameter only includes sales volume, price, evaluation and logistics, W1+W2+W3+W4=1), the W1,
W2, W3 and W4 are that weight distribution module is high according to the quantity for the keyword clicked in browsing statistical module counts to certain user's half a year
Low to sort to be allocated, preset rules are：To the parameter divided rank area of sales volume, price, evaluation and logistics four dimensions
Between, and for the default score value of each grade interval setting, the default score value of the affiliated grade interval of parameters is the scoring.
Specifically, sales volume, price, evaluation and logistics are divided into three grades, the corresponding default score value point of level-one, two level, three-level
It is not：20,30,50 points, when commodity parameter is sales volume, the corresponding sales volume section of level-one, two level, three-level is respectively 0~100
Part, 100~200,200~300；When commodity parameter is price, the corresponding price range of level-one, two level, three-level is respectively
200~300 yuan, 100~200 yuan, 0~100 yuan；When commodity parameter is evaluation, the corresponding positive rating area of level-one, two level, three-level
Between be 60%~70%, 70%~80%, 80%~90%；When commodity parameter is logistics, the corresponding object of level-one, two level, three-level
It is 4.4~4.5,4.5~4.7,4.8~4.9 to flow score section；Specific (W indicates weight in the table) as shown in Table 1：
Table one
3, commodity total score is calculated according to above-mentioned preset rules
When the value of commodity parameter is fallen in some grade interval, the score value of this commodity parameter is just the grade interval
Default score value；For example, the sales volume for a certain commodity selected as user, price, evaluation and logistics it is practical be 150,80 yuan,
65%, 4.9 when, the sales volume of the commodity is fallen in the range of two level, thus the commodity sales volume scoring be 30 points；The commodity
Price is fallen in the range of three-level, so the price scoring of the commodity is 50 points；Commodity evaluation is fallen in the range of level-one, institute
With the price scoring of the commodity for 20 points；The commodity logistics is fallen in the range of three-level, so the price scoring of the commodity is 50
Point；So the total score of the part commodity is：
W1*30+W2*50+W3*20+W4*50
4, comparative analysis report is generated
After the total score for calculating different commodity, ranking is carried out to commodity, then report generation module according to merchandise news and
Ranking result generates comparative analysis report and is sent to pushing module and publication promotional module, so both including in comparative analysis report
User selectes the ranking of commodity, and contains commodity parameter and the list of details of selected commodity.
Five, share comparative analysis report to good friend
Pushing module shows comparative analysis report to user, to which user can refer to oneself clear choosing of comparative analysis report
Determine the most worth purchase of any part commodity in commodity, and open-and-shut can see the commodity parameter and details of selected commodity
List avoid user to which all information of selected commodity can be compared in a comparative analysis report in order to compare
The page that commodity enter commodity repeatedly carries out checking browsing, finally has difficulty in choosing without knowing the case where this buys which part commodity, in turn
Shopping efficiency is improved, shopping experience is enhanced.
Six, feedback is integrated
Publication promotional module reception comparative analysis, which is reported and generates link, is shared with good friend, to which user can be by self-selection
Achievement share to good friend, while realizing the promotional of commodity；When good friend buys according to link in comparative analysis report
Commodity when, Point Management Module to share the comparison report user carry out reward on total mark, such as increase user integral, use
The integral can be used to buy commodity to cash purchase for family, not only increase the enjoyment shared, but also can earn integral, also enhance between user
It is interactive.
Above-described is only the embodiment of the present invention, and the common sense such as well known concrete structure and characteristic are not made herein in scheme
Excessive description.It, without departing from the structure of the invention, can be with it should be pointed out that for those skilled in the art
Several modifications and improvements are made, these should also be considered as protection scope of the present invention, these all do not interfere with what the present invention was implemented
Effect and patent practicability.The scope of protection required by this application should be based on the content of the claims, in specification
The records such as specific implementation mode can be used for explaining the content of claim.
Claims (8)
1. online commodity shopping analysis system, it is characterised in that：Browsing logging modle, parameter extraction including the connection of signal successively
Module, report generation module, publication promotional module and Point Management Module, parameter extraction module also signal are connected with database,
Report generation module also signal is connected with pushing module；
The database is previously stored with and each commodity merchandise news correspondingly；
The browsing logging modle browses the commodity selected after commodity for recording user, and the commodity is sent to parameter and are carried
Modulus block；
The parameter extraction module, for being transferred into database according to commodity, accordingly merchandise news is sent to report with commodity
Generation module；
The report generation module scores to commodity according to merchandise news, and carries out ranking according to scoring, is additionally operable to basis
Ranking and merchandise news generate comparative analysis report and are sent to pushing module and publication promotional module；
The pushing module, for showing that comparative analysis is reported；
The publication promotional module reports and generates link being shared with good friend for receiving comparative analysis；
The Point Management Module, when good friend buys the commodity in comparative analysis report according to link, Point Management Module
User to sharing the comparison report carries out reward on total mark.
2. online commodity shopping analysis system according to claim 1, it is characterised in that：Merchandise news includes commodity ginseng
Number, the report generation module scores every commodity parameter according to preset rules, and asks every commodity parameter scores
With obtain total score, ranking is carried out according to total score, comparative analysis report is generated further according to ranking and merchandise news.
3. online commodity shopping analysis system according to claim 2, it is characterised in that：The report generation module is also believed
Number it is connected with weight distribution module, weight distribution module is used to distribute the weight of every commodity parameter, and by every commodity parameter
Weight be sent to report generation module；The report generation module is used for the weight according to every commodity parameter to every commodity
Parameter scores are weighted summation and obtain total score.
4. online commodity shopping analysis system according to claim 2, it is characterised in that：The preset rules include to each
Commodity parameter divided rank and grade interval are provided with default score value, belonging to every commodity parameter for each grade interval
The default score value of grade interval is the scoring.
5. online commodity shopping analysis system according to claim 3, it is characterised in that：The weight distribution module is also believed
It number is connected with browsing statistical module, browsing statistical module is used to record the browsing data of simultaneously counting user, and statistical result is sent out
Weight distribution module is given, weight distribution module is additionally operable to according to statistical result to every commodity parametric distribution weight.
6. online commodity shopping analysis system according to claim 3, it is characterised in that：The weight distribution module is also used
Every commodity parametric distribution weight is given in the command information for receiving user, and according to command information.
7. online commodity shopping analysis system according to claim 2, it is characterised in that：The commodity parameter includes sale
Amount, price, evaluation and logistics.
8. online commodity shopping analysis system according to claim 4, it is characterised in that：The report generation module is also believed
Number it is connected with grade classification module, grade classification module is used to count the parameter information of the commodity parameter of similar commodity, and according to
Parameter information is to commodity parameter divided rank and grade interval.
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| CN201810362533.2A CN108510375A (en) | 2018-04-20 | 2018-04-20 | Online commodity shopping analysis system |
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| CN110110275A (en) * | 2019-05-21 | 2019-08-09 | 秒针信息技术有限公司 | A kind of analysis method and analytical equipment browsing resource |
| CN110473354A (en) * | 2019-07-31 | 2019-11-19 | 湖南微算互联信息技术有限公司 | A kind of cloud mobile phone optimal selection method, system, device and storage medium |
| CN110599306A (en) * | 2019-09-16 | 2019-12-20 | 腾讯科技（深圳）有限公司 | Commodity recommendation method, transaction record storage method and device and computer equipment |
| CN110851703A (en) * | 2019-09-30 | 2020-02-28 | 口碑(上海)信息技术有限公司 | Data processing method and device |
| CN111598640A (en) * | 2019-02-21 | 2020-08-28 | 北京京东尚科信息技术有限公司 | Information processing method and device and storage medium |
| CN111736747A (en) * | 2019-08-14 | 2020-10-02 | 北京京东尚科信息技术有限公司 | Article information pushing method, device, equipment and storage medium |
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