CN107066549A - A kind of searching and matching method, apparatus and system - Google Patents
A kind of searching and matching method, apparatus and system Download PDFInfo
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- CN107066549A CN107066549A CN201710174608.XA CN201710174608A CN107066549A CN 107066549 A CN107066549 A CN 107066549A CN 201710174608 A CN201710174608 A CN 201710174608A CN 107066549 A CN107066549 A CN 107066549A
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- weighted value
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
Abstract
The invention discloses a kind of searching and matching method, apparatus and system, the searching and matching method comprises the following steps：The keyword submitted from user terminal is obtained, the keyword includes marque and/or brand message；According to foregoing acquired marque and brand message, matching related bid list information and its initial weight value, and marque weighted value and brand message weighted value in each described price list are calculated respectively；Calculate the merchandise news weighted value in each price list；The final weight value of each price list is calculated according to the weighted value of gained；Price list is ranked up by its final weighted value of the price list transferred according to each, and ranking results are returned and user terminal is presented to.The search coalignment and system are based on the set realization of the above method.By the present invention can reach more fully meet user's request search matching there is provided search matching accuracy.
Description
Technical field
The present invention relates to data processing field, especially, it is related to a kind of searching and matching method, apparatus and system.
Background technology
Nowadays, by e-commerce website carry out shopping have become people life in most important mode of doing business it
One.Inquiry side is by keyword search merchandise news on website, and acquired user is inputted information and existing business by website
After product information is matched, search result is fed back and user is presented to.
And during matching, the situation of the multiple merchandise newss of Keywords matching often occurs, then, if
Matching result is ranked up to the problem of becoming one important consideration of web developers in certain sequence.In existing technology
In, many websites can be ranked up according to factors such as the correlation of matching result, sales volume, favorable comment degree, exchange hours.Realizing this
During the sequence of a little modes, primary concern is that product features, such as sales volume, positive rating, but it is determined that product features and power
It is often not comprehensive enough when weight, or, it is not necessarily the factor that user really needs to consider.
As Chinese invention patent application CN104281619A discloses a kind of search results ranking system and method.The invention
Applied in electronic installation.The search results ranking system includes：Keyword search module, for receiving user from search circle
The keyword of face input and the time interval of selection, according to the search result in the keyword search of input correspondence time interval；
Weight computation module is commented on, the weighted value for calculating each search result correspondence user's comment；Search results ranking module,
Weighted value for being commented on according to user is resequenced for search result；Key message acquisition module, for by before
The preceding search result of strokes sequence and corresponding user comment carry out crucial literal analysis, to find out the pass in time interval
Key information is shown is presented to user on the display apparatus.Although the content that the invention can be commented on using user goes reinforcing
Between searching order in interval, and capture in time interval comprising the popular subject under discussion in search result or user's comment.But
The invention the disadvantage is that, lay particular emphasis on the weight index for considering comment, fail comprehensively to consider that the commodity for adapting to user's needs are believed
Breath, its accuracy being adapted to has been short of.
The content of the invention
In order to overcome the deficiencies in the prior art, more fully meet user's request it is an object of the invention to provide a kind of
Searching and matching method, while additionally providing the apparatus and system using this searching and matching method.
To realize above-mentioned first goal of the invention, the technical solution adopted in the present invention is as follows：
A kind of searching and matching method, comprises the following steps：
S1：The keyword submitted from user terminal is obtained, the keyword includes marque and/or brand message；
S2：According to marque and brand message acquired in S1, matching related bid list information and its initial weight
Value, and marque weighted value and brand message weighted value in each described price list are calculated respectively；
S3：Calculate the merchandise news weighted value in each price list；
S4：Weighted value according to obtained by S2 and S3 calculates the final weight value of each price list；
S5：Price list is ranked up by its final weighted value of the price list transferred according to each, and sequence is tied
Fruit returns and is presented to user terminal.
It should be noted that the technical program mainly submits keyword by user in terminal, and by keyword with prestoring
Price list information matched, obtain after corresponding price list and initial weight value, the price list as obtained by obtaining matching
Other merchandise newss, calculate the weighted value of each information.Price list is calculated according to the weighted value of each information of price list finally to weigh
After weight values, price list is ranked up by the final weight value of each price list, and ranking results are presented to user, so as to realize
The sequence displaying of price list, by this sortord, the factor that can be achieved considers more comprehensive so that ranking results more meet
User's request.
As optional preferred embodiment, the merchandise news weighted value may include drop-off location, price variance degree, pageview
The one or more such as conversion, click volume conversion, exchange hand conversion and evaluation conversion.
Wherein, the merchandise news weighted value, which is calculated, includes drop-off location weighted value calculation procedure；The drop-off location power
Weight values calculation procedure includes：Obtain S2 price lists drop-off location；And, judge that user drop-off location is with price list drop-off location
It is no consistent, if so, then plus default drop-off location weighted value in price list weighted value, if it is not, then in price list weighted value
Subtract default drop-off location weighted value.In this step, the mode for obtaining user drop-off location is various, including but is not limited
In, user location can be positioned by system, or directly by user's input selection etc..
The purpose for calculating drop-off location weighted value is to make user's matching and its required drop-off location identical price list, made
Acquisition higher weights value, sequence more before.It should be noted that in the drop-off location weighted value calculation procedure, needing first
The drop-off location information in the price list searched for and obtained in step S2 before is obtained, also needs acquisition user defeated from terminal in addition
The drop-off location information entered, the acquisition of the information can be inputted by user oneself, or by positioning the modes such as customer location.Remove
Outside this, price list weighted value in this step can voluntarily be set by default setting or user or be set by system optimization
Inputted etc. mode.
Wherein, merchandise news weighted value, which is calculated, includes price variance degree calculation procedure；The price variance degree calculation procedure
Including：Obtain the target price of user；Obtain S2 price list prices；Obtain default price variance coefficient；And, pass through public affairs
Formula：Price variance degree=(target price-price list price)/price variance coefficient, draws price variance degree, is included in merchandise news
Weighted value.In the process, the mode for obtaining ownership goal price can also be various, include but is not limited to make user direct
Input, or system as user's habit of transaction analyze obtained by etc..
The purpose for calculating price diversity factor is matching ownership goal price and the less price list of price list price variance,
Be allowed to obtain higher weights value in the ranking, thus the order of related bid list more before, more meet user price demand.Described
Price variance degree calculation procedure also needs the valency in obtaining step S2 in price list in addition firstly the need of the target price for obtaining user
Lattice information, calculates price variance degree, and be included in merchandise news weighted value by above-mentioned formula.It should be noted that above-mentioned
Price variance coefficient in formula can voluntarily be set as default setting or user or as obtained by system optimization such as sets at the mode.
In addition, price herein can change the price parameter after conversion or directly transaction by the particular transactions amount of money
The amount of money, depends on needs and sets.
Wherein, the merchandise news weighted value, which is calculated, includes pageview conversion step；The pageview conversion step includes：
Obtain price list pageview；Obtain pageview conversion factor；And, pass through formula：Pageview conversion=price list pageview/clear
The amount of looking at conversion factor, show that pageview is converted, is included in merchandise news weighted value.
As the Consideration of one of which preferred price list sequence, pageview conversion be also goods weight value calculate because
One of son.In this preferred scheme, price list pageview is bigger, and the merchandise news weighted value of price list is also higher, so that
Before the sequence more for obtaining related bid list.Specifically, the pageview conversion for being included in merchandise news weighted value can be by above-mentioned formula
Calculate.Wherein, above-mentioned pageview design factor can voluntarily be set by default setting or user or be set by system optimization
Put etc. obtained by mode.
Wherein, the merchandise news weighted value, which is calculated, includes click volume conversion step；The click volume conversion step includes：
Obtain price list click volume；Obtain click volume conversion factor；And, pass through formula：Click volume conversion=price list click volume/point
The amount of hitting conversion factor, show that click volume is converted, is included in merchandise news weighted value.
As the Consideration of one of which preferred price list sequence, click volume conversion be also goods weight value calculate because
One of son.In this preferred scheme, price list click volume is bigger, and the merchandise news weighted value of price list is also higher, so that
Before the sequence more for obtaining related bid list.Specifically, the click volume conversion for being included in merchandise news weighted value can be by above-mentioned formula
Calculate.Wherein, above-mentioned click volume design factor can voluntarily be set by default setting or user or be set by system optimization
Put etc. obtained by mode.
Wherein, the merchandise news weighted value, which is calculated, includes exchange hand conversion step；The exchange hand conversion step includes：
Obtain the amount of money that price list strikes a bargain in calendar year；Obtain exchange hand conversion factor；And, pass through formula：Exchange hand conversion=into
The amount of money of friendship/exchange hand conversion factor, show that exchange hand is converted, is included in merchandise news weighted value.
As the Consideration of one of which preferred price list sequence, exchange hand conversion be also goods weight value calculate because
One of son.In this preferred scheme, price list exchange hand is bigger, and the merchandise news weighted value of price list is also higher, so that
Before the sequence more for obtaining related bid list.Specifically, the exchange hand conversion for being included in merchandise news weighted value can be by above-mentioned formula
Calculate.Wherein, above-mentioned exchange hand design factor can voluntarily be set by default setting or user or be set by system optimization
Put etc. obtained by mode.
Wherein, the merchandise news weighted value, which is calculated, includes evaluating conversion step；The conversion step of evaluating includes：Obtain
The total evaluation score of price list；Obtain price list and evaluate number of times；Obtain and evaluate conversion factor；And, pass through formula：Evaluate conversion
=(total evaluation score/evaluation number of times) * evaluates conversion factor, draws evaluation conversion, is included in merchandise news weighted value.
As the Consideration of the preferred price list sequence of one of which, it is also the factor that goods weight value is calculated to evaluate conversion
One of.Specifically, being included in the evaluation conversion of merchandise news weighted value can be calculated by above-mentioned formula.Wherein, upper commentary
Valency conversion factor can voluntarily be set as default setting or user or as obtained by system optimization such as sets at the mode.
Preferably, the marque weighted value calculated in the price list includes：
Judge whether marque keyword is consistent with price list marque, if so, then adding in price list weighted value
Upper default marque weighted value, if it is not, then subtracting default marque weighted value in price list weighted value；
The brand message weighted value calculated in the price list includes：
Judge whether brand message keyword is consistent with price list brand message, if so, then adding in price list weighted value
Upper default brand message weighted value, if it is not, then subtracting default brand message weighted value in price list weighted value.
It is further preferred that the marque weighted value calculation procedure also includes the first string matching step, it is wrapped
Include：
Judge the marque keyword is matched with whether price list marque meets preset characters string length, if
It is, then plus default marque weighted value in price list weighted value, if it is not, then subtracting default business in price list weighted value
Product model weighted value.
Matched it should be noted that user there may be input when inputting marque with existing price list, but both
The situation that character string is not necessarily identical.For avoid because partial character string is not met and caused by can not be with corresponding price list
The situation of matching, improves the accuracy of search and matching.In the technical program, marque weighted value calculation procedure also includes
First string matching step.
Specifically, a such as marque be CB12, then the marque can be resolved to C, B, 1,2, CB, B1,12,
CB1, B12, are screened while obtaining default string length, when such as string length is set to 3, i.e., from the report having had
CB1 and B12 price list are there are in the marque character string of valency list.If there is the price list of matching, the price list adds
Upper default marque weighted value, if in the absence of the price list of matching, the price list subtracts default marque weighted value.Should
Weighted value can voluntarily be set by default setting or user or the mode such as set to input by system optimization.
It is further preferred that the brand message weighted value calculation procedure also includes the second string matching step, it is wrapped
Include：
Judge the brand message keyword is matched with whether price list brand message meets preset characters string length, if
It is, then plus default brand message weighted value in price list weighted value, if it is not, then subtracting default product in price list weighted value
Board information weighted value.
It is similar with above-mentioned first string matching step, in one of preferred embodiment of this programme, the product
Board information weighted value calculation procedure also includes the second string matching step, can equally avoid because partial character string is not met
The situation about can not be matched with corresponding price list caused, improves the accuracy of search and matching.
It is further preferred that also including the first judgment step before the marque weighted value calculation procedure, it includes：
Judge whether keyword includes marque, if so, then entering marque weighted value calculation procedure.
It should be noted that the marque weighted value calculation procedure includes the first judgment step, its role is to pre-
First judge whether user inputs marque information, if judging to show that user has inputted marque information, into commodity-type
Number weighted value calculation procedure；Conversely, then directly skipping marque weighted value calculation procedure.By this step, when user is not defeated
When entering marque information, marque weighted value calculation procedure can be saved, retrieval and the matching efficiency of this technology method is improved.
It is further preferred that also including the second judgment step before the brand message weighted value calculation procedure, it includes：
Judge whether keyword includes brand message, if so, then entering brand message weighted value calculation procedure.
It is similar with above-mentioned first judgment step effect, alternatively, it can be set before the brand message weighted value calculation procedure
There is the second judgment step, equally when user does not input brand message, brand message weighted value calculation procedure can be saved, this is improved
The retrieval of technical method and matching efficiency.
To realize above-mentioned second goal of the invention, the technical solution adopted in the present invention is as follows：
One kind search coalignment, it is characterised in that the search coalignment includes：
Keyword module is obtained, for obtaining the keyword submitted from user terminal, the keyword includes marque
And/or brand message；
Model brand computing module, for the marque and brand message according to acquired in obtaining keyword module,
With related bid list information and its initial weight value, and marque weighted value and product in each described price list are calculated respectively
Board information weighted value；
Merchandise news weight value calculation module, for calculating the merchandise news weighted value in each price list；
Total weight value calculation module, for as obtained by model brand computing module and merchandise news weight value calculation module
Value calculates each price list final weight value.
Module is returned, for price list being ranked up according to total weight value calculation module income value, and by ranking results
Return and be presented to user terminal.
To realize above-mentioned 3rd goal of the invention, the technical solution adopted in the present invention is as follows：
One kind search matching system, it is characterised in that the search matching system includes：
Keyword device is obtained, for obtaining the keyword submitted from user terminal, the keyword includes marque
And/or brand message；
Model brand computing device, for the marque and brand message according to acquired in obtaining keyword device,
With related bid list information and its initial weight value, and marque weighted value and product in each described price list are calculated respectively
Board information weighted value；
Merchandise news weight value calculation apparatus, for calculating the merchandise news weighted value in each price list；
Total weight value calculation apparatus, for as obtained by model brand computing device and merchandise news weight value calculation apparatus
Value calculates each price list final weight value.
Return mechanism, for being ranked up price list according to total weight value calculation apparatus income value, and by ranking results
Return and be presented to user terminal.
Compared with prior art, the beneficial effects of the present invention are：
1st, searching and matching method of the invention, the Consideration of its weight order value includes marque, brand message, friendship
Goods place etc. so that weight calculation more fully, more meets user's request, resulting ranking results are also with more science
And reasonability.
2nd, searching and matching method of the invention, including the first string matching step and the second string matching step, can
When avoiding the input of marque and brand message, because partial character string is not met and caused by can not be with corresponding price list
Situation about matching somebody with somebody, so as to improve the accuracy of search and matching.
3rd, searching and matching method of the invention, in addition to the first judgment step and the second judgment step, can prejudge use
Whether family have input relevant information, when judging that user does not input, can directly skip part steps, improve the inspection of this technology method
Rope and matching efficiency.
4th, the design factor of the parameters in searching and matching method of the invention, its marque weighted value can be by using
Family is set or system optimization gained so that the result and weight that parameter is calculated are more reasonable.
5th, search coalignment of the invention, can gather multiple weight value calculation modules so that the power obtained by system-computed
Weight values result more comprehensively, science and rationally, ranking results more meet user's request.
6th, search matching system of the invention, can gather multiple weight value calculation apparatus so that the power obtained by system-computed
Weight values result more comprehensively, science and rationally, ranking results more meet user's request.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow the above and other objects, features and advantages of the present invention can
Become apparent, below especially exemplified by preferred embodiment, and coordinate accompanying drawing, describe in detail as follows.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of searching and matching method one of which of the present invention more preferably embodiment；
Embodiment
Further to illustrate the present invention to reach the technological means and effect that predetermined goal of the invention is taken, below in conjunction with
Accompanying drawing and preferred embodiment, to embodiment, structure, feature and its effect according to the present invention, are described in detail as follows：
Embodiment one
It is the one of which more preferably embodiment of searching and matching method of the present invention as shown in Figure 1, it includes following step
Suddenly：
S1：The keyword submitted from user terminal is obtained, the keyword includes marque and/or brand message；
Specifically, the embodiment of the present invention is not limited to the mode for obtaining the keyword submitted from user terminal.
S2：According to marque and brand message acquired in S1, matching related bid list information and its initial weight
Value, and marque weighted value and brand message weighted value in each described price list are calculated respectively；
Specifically, above-mentioned calculating process can be specially：
The related price list of matching and its initial weight value are transferred from existing price list set；
The definition of initial weight value can have diversified forms, in one way in which in, the initial weight value of all clients
All it is 0, in platform process of exchange, if a model is defined as fast sale, the initial weight value of the price list of this model
Corresponding lifting is just had, how much specific lifting can be configured in systems.So contribute to model preferential recommendation of selling fast
And displaying.
The price list transferred to each calculates its marque weighted value and brand message weighted value respectively.
The calculation of the weight includes：
M`=M0+M1+M2.
It should be noted that include initial weight value, marque weighted value and the brand of a M` values wherein price list are believed
The intermediate weights value of weighted value is ceased, M0 refers to the initial weight value of the price list, the marque weighted value of the M1 values price list, M2
Refer to the brand message weighted value of the price list.
S3：Calculate the merchandise news weighted value in each price list；
Merchandise news weighted value M3 calculation includes：
M3=M (drop-off location)+M (price variance degree)+M (pageview conversion)+M (click volume conversion)+M (roll over by exchange hand
Calculate)+M (evaluating conversion).
S4：Weighted value according to obtained by S2 and S3 calculates the final weight value of each price list.
That is the calculation formula of a wherein price list final weight value M includes：
M=M`+M3=M0+M1+M2+M3.
S5：Price list is ranked up by its final weighted value of the price list transferred according to each, and sequence is tied
Fruit returns and is presented to user terminal.
Specifically, the embodiment of the present invention is not limited the specific mode for sorting and returning and be presented to user terminal
It is fixed.
A specific process step is named to illustrate the above-mentioned course of work：
User input keyword be, model：W25Q32FVSSIG, brand：WINBOND.Match and be deployed into system
Quotation information include：
Price list X1256D weighted value M1=0, X1257D weighted value M2=0 are obtained simultaneously.
In two price lists, model is matched with user's input, and price list X1256D (call in the following text " price list one ")
Brand and user input matchs, price list X1257D (call in the following text " price list two ") brand message and user's input mismatch.And
The weighted value of model is set as 10, and the weighted value of brand is set as 5, then M1`=10+5=15, M2`=10-5=5；
Obtain the merchandise news of user and price list one and price list two, including drop-off location, price, click volume, browse
Amount, exchange hand, evaluation etc..Wherein acquired conclusion of the business sequence information is as follows：
| Order number | Date | Scoring | The amount of money | SNID |
| SO1612120001 | 2016-12-12 | 5 | 1920+80 | X1256D |
| SO1612120002 | 2016-12-12 | 4 | 3300+60 | X1257D |
| SO1612120003 | 2016-12-12 | 4 | 1650+70 | X1257D |
Thus, the merchandise news weighted value of price list one is respectively：
M1 (drop-off location)=0, i.e. user drop-off location are different from price list drop-off location Hong Kong.
M1 (price variance degree)=(1.6-1.6)/10=0
M1 (pageview conversion)=100/10000=0.01
M1 (click volume conversion)=100/10000=0.01
M1 (exchange hand conversion)=2000/10000=0.2
M1 (evaluating conversion)=5*1.01=5.05
The merchandise news weighted value of price list two is respectively：
M2 (drop-off location)=0, i.e. user drop-off location are different from price list drop-off location Shenzhen.
M2 (price variance degree)=(1.6-1.65)/10=-0.005
M2 (pageview conversion)=80/10000=0.008
M2 (click volume conversion)=80/10000=0.008
M2 (exchange hand conversion)=(3360+1720)/10000=0.508
M2 (evaluating conversion)=(4+4)/2*1.01=4.04
In summary, total weighted value of two price lists can be calculated：
M1=M1`+M1 (drop-off location)+M1 (price variance degree)+M1 (pageview conversion)+M1 (click volume conversion)+M1
(exchange hand conversion)+M1 (evaluating conversion)=20.27,
M2=M2`+M2 (drop-off location)+M2 (price variance degree)+M2 (pageview conversion)+M2 (click volume conversion)+M2
(exchange hand conversion)+M2 (evaluating conversion)=9.569,
That is M1>M2, the sequence of price list one is more forward than the sequence of price list two.
Embodiment two
The difference of the present embodiment two and above-described embodiment one is, the marque weight calculated in the price list
Value includes：
Judge whether marque keyword is consistent with price list marque, if so, then adding in price list weighted value
Upper default marque weighted value, if it is not, then subtracting default marque weighted value in price list weighted value；
The brand message weighted value calculated in the price list includes：
Judge whether brand message keyword is consistent with price list brand message, if so, then adding in price list weighted value
Upper default brand message weighted value, if it is not, then subtracting default brand message weighted value in price list weighted value.
, can be with by carrying out matching judgment with price list merchandise news to marque keyword and brand message keyword
The relevant information for more intuitively needing most lookup according to user is matched, to obtain the information needed closest to user.And
With unanimously then in price list weighted value plus default marque weighted value or default brand message weighted value, matching is inconsistent
In terms of default marque weighted value or default brand message weighted value, this weight calculation are then subtracted in price list weighted value
Advantage be on the one hand to meet the correlation of matching result, it is on the other hand also simple, accurately.
Above-mentioned default marque weighted value and default brand message weighted value can be by user oneself setting or system optimizations
Calculate, more meet user's needs.
Embodiment three
The present embodiment and the difference of embodiment one are, to improve the accuracy of matching, the marque weighted value meter
Calculating step also includes the first string matching step, and it includes：
Judge the marque keyword is matched with whether price list marque meets preset characters string length, if
It is, then plus default marque weighted value in price list weighted value, if it is not, then subtracting default business in price list weighted value
Product model weighted value.
The purpose for setting the first string matching step is, it is to avoid because partial character string is not met and caused by not
Situation about can be matched with corresponding price list, improves the accuracy of search and matching, may during solution user's input marque
Matched in the presence of input with existing price list, but both character strings the problem of be not necessarily identical.
Specifically, a such as marque be CB12, then the marque can be resolved to C, B, 1,2, CB, B1,12,
CB1, B12, are screened while obtaining default string length, when such as string length is set to 3, i.e., from the report having had
CB1 and B12 price list are there are in the marque character string of valency list.If there is the price list of matching, the price list adds
Upper default marque weighted value, if in the absence of the price list of matching, the price list subtracts default marque weighted value.Should
Weighted value can voluntarily be set by default setting or user or the mode such as set to input by system optimization.
Example IV
The present embodiment and the difference of embodiment one are, to improve the accuracy of matching, the brand message weighted value meter
Calculating step also includes the second string matching step, and it includes：
Judge the brand message keyword is matched with whether price list brand message meets preset characters string length, if
It is, then plus default brand message weighted value in price list weighted value, if it is not, then subtracting default product in price list weighted value
Board information weighted value.
It is similar with the first string matching step in above-described embodiment three, in embodiment by the brand message weighted value
Calculation procedure include the second string matching step, can equally avoid because partial character string is not met and caused by can not be with phase
The situation for the price list matching answered, improves the accuracy of search and matching.
Embodiment five
The present embodiment and the difference of embodiment one are, to improve the efficiency that method is realized, the marque weighted value
Also include the first judgment step before calculation procedure, it includes：
Judge whether keyword includes marque, if so, then entering marque weighted value calculation procedure.
Marque weighted value calculation procedure includes the first judgment step, and its role is to prejudge whether user inputs
Marque information, if judging to show that user has inputted marque information, into marque weighted value calculation procedure；Instead
It, then directly skip marque weighted value calculation procedure., can when user does not input marque information by this step
Marque weighted value calculation procedure is saved, retrieval and the matching efficiency of this technology method is improved.
Also include second as embodiment still more preferably, before the brand message weighted value calculation procedure to judge
Step, it includes：Judge whether keyword includes brand message, if so, then entering brand message weighted value calculation procedure.
It is similar with above-mentioned first judgment step effect, alternatively, it can be set before the brand message weighted value calculation procedure
There is the second judgment step, equally when user does not input brand message, brand message weighted value calculation procedure can be saved, this is improved
The retrieval of technical method and matching efficiency.
Embodiment six
One kind search coalignment, the search coalignment includes：
Keyword module is obtained, for obtaining the keyword submitted from user terminal, the keyword includes marque
And/or brand message；
Model brand computing module, for the marque and brand message according to acquired in obtaining keyword module,
With related bid list information and its initial weight value, and marque weighted value and product in each described price list are calculated respectively
Board information weighted value；
Merchandise news weight value calculation module, for calculating the merchandise news weighted value in each price list.
Total weight value calculation module, for as obtained by model brand computing module and merchandise news weight value calculation module
Value calculates each price list final weight value.
Module is returned, for price list being ranked up according to total weight value calculation module income value, and by ranking results
Return and be presented to user terminal.
The workflow of the search coalignment is as follows：
Device is inputted the keyword of inquiry sheet in terminal by obtaining keyword module acquisition user, such as marque
And/or brand message, after foregoing related keyword information is obtained, model brand computing module is from existing price list set
The related price list of matching and its initial weight value are transferred, and calculates each transferred price list its marque power respectively
Weight values and brand message weighted value.Merchandise news weight value calculation module calculates its commodity respectively to each transferred price list
Information weighted value.Return to module to be ranked up price list according to total weight value calculation module income value, and ranking results are returned
Return and be presented to user terminal.
Embodiment seven
One kind search matching system, the search matching system includes：
Keyword device is obtained, for obtaining the keyword submitted from user terminal, the keyword includes marque
And/or brand message；
Model brand computing device, for the marque and brand message according to acquired in obtaining keyword device,
With related bid list information and its initial weight value, and marque weighted value and product in each described price list are calculated respectively
Board information weighted value；
Merchandise news weight value calculation apparatus, for calculating the merchandise news weighted value in each price list.
Total weight value calculation apparatus, for as obtained by model brand computing device and merchandise news weight value calculation apparatus
Value calculates each price list final weight value.
Return mechanism, for being ranked up price list according to total weight value calculation apparatus income value, and by ranking results
Return and be presented to user terminal.
The workflow of the search matching system is as follows：
System is inputted the keyword of inquiry sheet in terminal by obtaining keyword device acquisition user, such as marque
And/or brand message, after foregoing related keyword information is obtained, model brand computing device is from existing price list set
The related price list of matching and its initial weight value are transferred, and calculates each transferred price list its marque power respectively
Weight values and brand message weighted value.Merchandise news weight value calculation apparatus calculates its commodity respectively to each transferred price list
Information weighted value.Return mechanism, is tied for being ranked up price list according to total weight value calculation apparatus income value, and by sequence
Fruit returns and is presented to user terminal.
Above-mentioned embodiment is only the preferred embodiment of the present invention, it is impossible to limit the scope of protection of the invention with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (8)
1. a kind of searching and matching method, it is characterised in that comprise the following steps：
S1：The keyword submitted from user terminal is obtained, the keyword includes marque and/or brand message；
S2：According to marque and brand message acquired in S1, matching related bid list information and its initial weight value, and
The marque weighted value and brand message weighted value in each described price list are calculated respectively；
S3：Calculate the merchandise news weighted value in each price list；
S4：Weighted value according to obtained by S2 and S3 calculates the final weight value of each price list；
S5：Price list is ranked up by its final weighted value of the price list transferred according to each, and ranking results are returned
Return and be presented to user terminal.
2. searching and matching method according to claim 1, it is characterised in that
The marque weighted value calculated in the price list includes：
Judge whether marque keyword is consistent with price list marque, if so, then plus pre- in price list weighted value
If marque weighted value, if it is not, then subtracting default marque weighted value in price list weighted value；
The brand message weighted value calculated in the price list includes：
Judge whether brand message keyword is consistent with price list brand message, if so, then plus pre- in price list weighted value
If brand message weighted value, if it is not, then subtracting default brand message weighted value in price list weighted value.
3. searching and matching method according to claim 2, it is characterised in that the marque weighted value calculation procedure is also
Including the first string matching step, it includes：
Judge the marque keyword is matched with whether price list marque meets preset characters string length, if so, then
Plus default marque weighted value in price list weighted value, if it is not, then subtracting default commodity-type in price list weighted value
Number weighted value.
4. searching and matching method according to claim 2, it is characterised in that the brand message weighted value calculation procedure is also
Including the second string matching step, it includes：
Judge the brand message keyword is matched with whether price list brand message meets preset characters string length, if so, then
Plus default brand message weighted value in price list weighted value, if it is not, then subtracting default brand letter in price list weighted value
Cease weighted value.
5. searching and matching method according to claim 2, it is characterised in that before the marque weighted value calculation procedure
Also include the first judgment step, it includes：
Judge whether keyword includes marque, if so, then entering marque weighted value calculation procedure.
6. searching and matching method according to claim 2, it is characterised in that before the brand message weighted value calculation procedure
Also include the second judgment step, it includes：
Judge whether keyword includes brand message, if so, then entering brand message weighted value calculation procedure.
7. one kind search coalignment, it is characterised in that the search coalignment includes：
Obtain keyword module, for obtain from user terminal submit keyword, the keyword include marque and/or
Brand message；
Model brand computing module, for the marque and brand message according to acquired in obtaining keyword module, matches phase
Price list information and its initial weight value are closed, and calculates the marque weighted value in each described price list and brand letter respectively
Cease weighted value；
Merchandise news weight value calculation module, for calculating the merchandise news weighted value in each price list；
Total weight value calculation module, based on by model brand computing module and merchandise news weight value calculation module income value
Calculate each price list final weight value；
Module is returned, for being ranked up price list according to total weight value calculation module income value, and ranking results are returned
And it is presented to user terminal.
8. one kind search matching system, it is characterised in that the search matching system includes：
Obtain keyword device, for obtain from user terminal submit keyword, the keyword include marque and/or
Brand message；
Model brand computing device, for the marque and brand message according to acquired in obtaining keyword device, matches phase
Price list information and its initial weight value are closed, and calculates the marque weighted value in each described price list and brand letter respectively
Cease weighted value；
Merchandise news weight value calculation apparatus, for calculating the merchandise news weighted value in each price list；
Total weight value calculation apparatus, based on by model brand computing device and merchandise news weight value calculation apparatus income value
Calculate each price list final weight value；
Return mechanism, for being ranked up price list according to total weight value calculation apparatus income value, and ranking results is returned
And it is presented to user terminal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348292A (en) * | 2019-05-28 | 2019-10-18 | 深圳市华阳国际工程设计股份有限公司 | Automatic generation method, device and the storage device of evacuating width information |
| CN110377830A (en) * | 2019-07-25 | 2019-10-25 | 拉扎斯网络科技（上海）有限公司 | Search method, device, readable storage medium storing program for executing and electronic equipment |
| CN111159163A (en) * | 2019-12-31 | 2020-05-15 | 万表名匠(广州)科技有限公司 | Commodity information database generation method, commodity search method and related device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591876A (en) * | 2011-01-14 | 2012-07-18 | 阿里巴巴集团控股有限公司 | Sequencing method and device of search results |
| CN106096026A (en) * | 2016-06-24 | 2016-11-09 | 武汉合创源科技有限公司 | A kind of product search method and system |
-
2017
- 2017-03-22 CN CN201710174608.XA patent/CN107066549A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591876A (en) * | 2011-01-14 | 2012-07-18 | 阿里巴巴集团控股有限公司 | Sequencing method and device of search results |
| CN106096026A (en) * | 2016-06-24 | 2016-11-09 | 武汉合创源科技有限公司 | A kind of product search method and system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348292A (en) * | 2019-05-28 | 2019-10-18 | 深圳市华阳国际工程设计股份有限公司 | Automatic generation method, device and the storage device of evacuating width information |
| CN110377830A (en) * | 2019-07-25 | 2019-10-25 | 拉扎斯网络科技（上海）有限公司 | Search method, device, readable storage medium storing program for executing and electronic equipment |
| CN110377830B (en) * | 2019-07-25 | 2022-03-29 | 拉扎斯网络科技（上海）有限公司 | Retrieval method, retrieval device, readable storage medium and electronic equipment |
| CN111159163A (en) * | 2019-12-31 | 2020-05-15 | 万表名匠(广州)科技有限公司 | Commodity information database generation method, commodity search method and related device |
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