CN110189187A - Merchandise control method, apparatus, computer equipment and storage medium - Google Patents

Merchandise control method, apparatus, computer equipment and storage medium Download PDF

Info

Publication number
CN110189187A
CN110189187A CN201910298823.XA CN201910298823A CN110189187A CN 110189187 A CN110189187 A CN 110189187A CN 201910298823 A CN201910298823 A CN 201910298823A CN 110189187 A CN110189187 A CN 110189187A
Authority
CN
China
Prior art keywords
commodity
feature
sign
multiple groups
group
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910298823.XA
Other languages
Chinese (zh)
Other versions
CN110189187B (en
Inventor
李华珍
滕厚雪
王莉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Ping An Comprehensive Financial Services Co Ltd
Original Assignee
Shenzhen Ping An Comprehensive Financial Services Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Ping An Comprehensive Financial Services Co Ltd filed Critical Shenzhen Ping An Comprehensive Financial Services Co Ltd
Priority to CN201910298823.XA priority Critical patent/CN110189187B/en
Publication of CN110189187A publication Critical patent/CN110189187A/en
Application granted granted Critical
Publication of CN110189187B publication Critical patent/CN110189187B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0621Item configuration or customization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • G06Q30/0629Directed, with specific intent or strategy for generating comparisons

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the present application provides a kind of merchandise control method, apparatus, computer equipment and storage medium, realizes the intelligent management to commodity.The described method includes: obtaining specification attribute, the parameter details, descriptive labelling information of the commodity if detecting commodity restocking;Go out the main feature of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction;Feature corresponding to the main feature of the commodity and preset multiple groups commodity sign is matched;If successful match, using the commodity as a commodity in this group of commodity sign of successful match, using the commodity with other commodity in this group of commodity sign as with group commodity.Commodity grouping is managed by the embodiment of the present application by information such as the specification attribute of acquisition commodity, parameter details, descriptive labellings, carries out merchandise control convenient for enterprise's shopping platform, improves speed and efficiency that enterprise's shopping platform carries out merchandise control.

Description

Merchandise control method, apparatus, computer equipment and storage medium
Technical field
This application involves technical field of data processing more particularly to a kind of merchandise control method, apparatus, computer equipment and Storage medium.
Background technique
Enterprise's shopping platform is by providing commodity selection abundant with vendors cooperation for platform user, but in band Come platform it is convenient while, it is also possible to there are the same commodity due to the different situation of price from different suppliers.And Since each supplier is different to the name of product and description, the difficulty of the same commodity of land identification is caused, land identification is increased The difficulty of same commodity reduces enterprise's shopping platform to the speed and efficiency of merchandise control.
Summary of the invention
The embodiment of the present application provides a kind of merchandise control method, apparatus, computer equipment and storage medium, can be improved to quotient The speed and efficiency that product are managed.
In a first aspect, the embodiment of the present application provides a kind of merchandise control method, this method comprises:
If detecting commodity restocking, specification attribute, the parameter details, descriptive labelling information of the commodity are obtained;According to institute State the specification attributes of commodity, parameter details, descriptive labelling information extraction go out the main features of the commodity;By the main spy of the commodity Feature corresponding to preset multiple groups commodity sign of seeking peace is matched;If successful match, using the commodity as successful match This group of commodity sign in a commodity, the commodity and other commodity in this group of commodity sign are used as with organizing commodity.
Second aspect, the embodiment of the invention provides a kind of merchandise control devices, which includes for holding The corresponding unit of method described in the above-mentioned first aspect of row.
The third aspect, the embodiment of the invention provides a kind of computer equipment, the computer equipment includes memory, with And the processor being connected with the memory;
The memory is for storing computer program, and the processor is for running the calculating stored in the memory Machine program, to execute method described in above-mentioned first aspect.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage medium, the computer-readable storage Media storage has computer program, when the computer program is executed by processor, realizes method described in above-mentioned first aspect.
The embodiment of the present application is by information such as the specification attribute of acquisition commodity, parameter details, descriptive labellings, to extract commodity Main feature, identified whether according to main feature as same group of commodity, in this way, commodity grouping is managed, done shopping convenient for enterprise Platform carries out merchandise control, improves speed and efficiency that enterprise's shopping platform carries out merchandise control.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of merchandise control method provided by the embodiments of the present application;
Fig. 2 is the sub-process schematic diagram of merchandise control method provided by the embodiments of the present application;
Fig. 3 is the sub-process schematic diagram of merchandise control method provided by the embodiments of the present application;
Fig. 4 is the sub-process schematic diagram of merchandise control method provided by the embodiments of the present application;
Fig. 5 is the sub-process schematic diagram of merchandise control method provided by the embodiments of the present application;
Fig. 6 is the schematic block diagram of merchandise control device provided by the embodiments of the present application;
Fig. 7 is the schematic block diagram of feature extraction unit provided by the embodiments of the present application;
Fig. 8 is the schematic block diagram of commodity group determination unit provided by the embodiments of the present application;
Fig. 9 is another schematic block diagram of commodity group determination unit provided by the embodiments of the present application;
Figure 10 is the schematic block diagram of characteristic matching unit provided by the embodiments of the present application;
Figure 11 is the schematic block diagram of computer equipment provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen Please in embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts Example, shall fall in the protection scope of this application.
It should be noted that the application scenarios in the embodiment of the present application are illustrated with enterprise's shopping platform.It is understood that Ground, the scheme in the application can also be applied in other commodity platforms.
Fig. 1 is the flow diagram of merchandise control method provided by the embodiments of the present application.As shown in Figure 1, this method includes S101-S104。
S101 obtains specification attribute, the parameter details, descriptive labelling information of the commodity if detecting commodity restocking.
Wherein, it detects commodity restocking, is interpreted as commodity and uploads to enterprise's shopping platform.Enterprise's shopping is uploaded in commodity During platform, the merchandise newss such as specification attribute, parameter details, descriptive labelling can be filled in, the reception of enterprise's shopping platform is filled out The merchandise newss such as specification attribute, parameter details, the descriptive labelling write.Wherein, specification attribute includes size (37 yards, S code etc.), face Color (red, yellow etc.), weight (kg), capacity (L/ml, memory capacity etc.), one in size (size, length etc.) or It is multiple.Parameter details include brand, model/money number, the place of production, processing technology/fashion elements (bandage, squeezing etc.), material (skin Leather, stainless steel etc.), pattern (single shoulder), scene on probation/age on probation (leisure, it is daily, give gifts etc. or youth, old age etc.), on City's time etc..Wherein, each commodity further include having other parameter details, if clothes skirt further includes skirt length, skirt type, sleeve type Deng.Descriptive labelling includes product name and/or some description informations to the commodity.Such as product name are as follows: Nikon (Nikon) D5300 (18-55mm) covers the single-lens suit of machine entry level digital single-lens reflex camera;Corresponding description includes: built-in WIFI 24,160,000 Pixel stabilization camera lens overturning screen is easily shared!Stabilization of geting started photography little Bai indispensability etc..It should be noted that the above specification attribute, The information such as parameter details, descriptive labelling solely for the purpose of illustration, to facilitate the technical solution understood in the application.
S102 goes out the main spy of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction Sign.
It should be noted that the main feature that inhomogeneity purpose commodity extract is different.Such as edible oil, the electricity of foodstuff now Main feature corresponding to the commodity such as the cell phone under sub- product is different.Edible oil such as foodstuff now extracts Main feature out include brand, model, processing technology, specification capacity, credit rating, whether transgenosis etc..Such as respectively correspond Shandong Flower, peanut oil, physical squeezing, 4.5L, level-one, non-transgenic etc..Such as the cell phone product under electronic product is extracted Main feature include brand, model, network type, memory capacity (may further include running memory etc.), fuselage color, network mould Formula etc..Such as respectively correspond xx brand, xxx8,4G+ the whole network lead to, 256G (running memory 4G), black, double-card dual-standby.Inhomogeneity Different classes of commodity in mesh need the main feature extracted needs to be analyzed and set in advance.
In one embodiment, as shown in Fig. 2, step S102 includes the following steps S201-S205.
S201 segments the specification attribute of the commodity, parameter details, descriptive labelling information.
Wherein, participle tool can be used to be segmented, such as segmenting tool can be stammerer participle, select the essence of stammerer participle The text information that true mode concentrates data segments, and is retouched specification attribute, parameter details, the commodity to commodity by segmenting It states the text information in information and is divided into multiple words, such as message " I comes Qinhua Univ., Beijing ", word segmentation result is that " I comes north Capital Tsinghua University ".
S202, detects whether the commodity have category information.
Some enterprise's shopping platforms will select corresponding category information when commodity upload, i.e., when commodity upload The classification of commodity is just had determined, in this way, will include the category information of commodity in merchandise news.It is in detection merchandise news The no category information for having the commodity.As the category information of some commodity can be with are as follows: food-edible oil-Jin Longyu-peanut oil Deng.
If the commodity have category information, step S203 is executed;If the commodity do not have category information, step is executed S204。
S203 obtains the category information of the commodity.
S204 determines the category information of the commodity according to the keyword after participle.
Firstly, according to information such as the brand of the keyword extraction commodity after participle and models, as obtained " nine sun " after segmenting " soy bean milk making machine " is matched further according to preset scheme of classes, it may be determined that the classification of the commodity is household electrical appliances, and further can determine is The soy bean milk making machine of household appliances now." good fortune is near the house " " edible oil " is obtained after such as segmenting, is matched according to preset scheme of classes, it can be true The classification of the fixed commodity is food, further can determine it is the edible oil of foodstuff now.The category information of commodity can basis Whether the condition of merchandise of enterprise's shopping platform is seen needs further to be refined or without refinement etc..As the shopping of some enterprises is flat If commodity are more in platform, the category information of commodity can refine to food-edible oil-Jin Longyu-peanut oil, or can again into The refinement of one step;As some enterprise's shopping platform commodity do not have it is so much in the case where, the category information of commodity can be food- Edible oil-gold dragonfish etc..
S205, according to the category information of the main feature of preset classification and the identified commodity, from the pass after participle Main feature corresponding to the commodity is extracted in keyword.
Main features some to each class assignment in advance, such as the edible oil of foodstuff now, the main feature extracted Including brand, model, processing technology, specification capacity, credit rating, whether transgenosis etc..According to the main feature of preset classification With the category information of identified commodity, main feature corresponding to commodity is extracted from the keyword after participle, is such as extracted Main feature are as follows: Lu Hua, peanut oil, physical squeezing, 4.5L, level-one, non-transgenic etc..It should be noted that the main spy extracted Levy at least includes brand, model, specification attribute etc..Brand, model, the complete phase of specification attribute are at least needed with group commodity Together.
Fig. 2 further defines the specification attribute to commodity, parameter details, descriptive labelling information and segments, further according to The main feature of preset classification extracts main feature corresponding to commodity.
S103 matches feature corresponding to the main feature of the commodity and preset multiple groups commodity sign.
Wherein, feature corresponding to multiple groups commodity sign and multiple groups commodity sign is preserved in the database.Wherein, Multiple groups commodity sign in database is generated previously according to certain rule.Such as the edible oil commodity of foodstuff now, it is related to There are a multiple groups commodity, every group of commodity are corresponding with a commodity sign, each commodity sign corresponding feature, as certain is organized under commodity Corresponding feature includes that good fortune near the house (hold by (brand), sunflower oil (model), level-one squeezing (processing technology), 4.5L by specification Amount), level-one (credit rating), non-transgenic etc..
Feature corresponding to the main feature of the commodity and preset multiple groups commodity sign is matched, if the master of the commodity Feature corresponding to feature and preset a certain group of commodity sign exactly matches, it is determined that successful match, if the main spy of the commodity Sign is matched with feature corresponding to preset all commodity signs all without successful match, then being prompted.
S104, if successful match, using the commodity as a commodity in this group of commodity sign of successful match, by institute Commodity are stated to be used as with other commodity in this group of commodity sign with group commodity.
It is also preserved in the database with multiple merchandise newss in group commodity.In the present embodiment, according to extracting Main feature is it is found that the same as being identical commodity in group commodity.
The embodiment by commodity restocking, obtaining the information such as the specification attributes of commodity, parameter details, descriptive labelling, To extract the main feature of commodity, identified whether according to main feature as same group of commodity, in this way, in commodity restocking, it will commodity It is grouped management, the speed and efficiency of merchandise control is improved, while the grouping of numerous commodity being managed, is purchased convenient for enterprise Object platform carries out merchandise control, further improves speed and efficiency that enterprise's shopping platform carries out merchandise control.
In one embodiment, the merchandise control method, which further comprises the steps of:, determines preset multiple groups commodity sign and described Feature corresponding to multiple groups commodity sign.
In one embodiment, as shown in figure 3, determining corresponding to preset multiple groups commodity sign and the multiple groups commodity sign Feature, include the following steps S301-S305.
S301 obtains specification attribute, the parameter details, descriptive labelling information of commodity if detecting commodity restocking.
S302 goes out the feature of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction.Its In, in the present embodiment, the feature of commodity is consistent with the main feature mentioned above.
S303, detects whether the feature in the commodity exists in the database.
If the feature in the commodity is not present in the database, step S304 is executed.If it exists, then without any place Reason.
S304 generates a commodity sign.Wherein, commodity sign is generated according to preset rules.
S305 saves feature corresponding to commodity sign and the commodity sign, and using the commodity as the commodity sign A commodity in one group of corresponding commodity are saved, in this way, to obtain multiple groups commodity sign and the multiple groups commodity The corresponding feature of mark.
In the embodiment, dynamic is characterized in corresponding to the multiple groups commodity sign and multiple groups commodity sign in database , i.e., with more and more commodity restockings, increase more and more commodity signs and commodity commodity sign in the database Corresponding feature.In one embodiment, before being saved, preset multiple groups commodity sign and the multiple groups commodity are determined The method of the corresponding feature of mark can also include: the modification for receiving user to the feature extracted, to carry out the qi that disappears.Into Row disappears, and to be that each supplier fills in the relevant information of product nonstandard for the purpose of qi, such as red rice and millet, all uniformly repairs It is changed to millet.
In one embodiment, as shown in figure 4, determining corresponding to preset multiple groups commodity sign and the multiple groups commodity sign Feature, include the following steps S401-S404.
S401, specification attribute, parameter details, the commodity for obtaining all or part of commodity in other online shopping platforms are retouched State information.
S402 goes out the feature of commodity according to the specification attribute of commodity, parameter details, descriptive labelling information extraction.Wherein, exist In the present embodiment, the feature of commodity is consistent with the main feature mentioned above.
S403 the feature of the commodity extracted is compared to delete the identical feature group of product features, so that Remaining every group of feature is all different.It is to be appreciated that due to same commodity have it is multiple, accordingly, it is possible in the presence of the commodity extracted Feature in there is the feature group corresponding to many commodity to be all identical, then deleting identical so that last same commodity In leave behind a feature group.
S404 generates a commodity sign for remaining every group of feature, commodity sign and corresponding feature is saved, with Obtain feature corresponding to multiple groups commodity sign and the multiple groups commodity sign.
In the program, feature corresponding to a large amount of commodity sign and commodity sign is obtained at the beginning.Implement one In example, before being saved, the side of feature corresponding to preset multiple groups commodity sign and the multiple groups commodity sign is determined Method can also include: the modification for receiving user to the feature extracted, to carry out the qi that disappears.
Fig. 3 and embodiment shown in Fig. 4, which are further defined, is grouped mark for commodity, and extracts every group of commodity Feature.In this way, commodity grouping is managed, convenient for the management that enterprise's shopping platform refines commodity, pipe is improved Manage efficiency.
In other embodiments, after the main feature for extracting commodity, by the main feature of commodity and preset multiple groups commodity sign Corresponding feature is matched, i.e. step S103 includes the following steps S501-S505.
S501, by corresponding to main feature of the commodity other than brand and preset multiple groups commodity sign in addition to Feature except brand is matched.
S502, judge the commodity the main feature other than brand whether with corresponding to preset multiple groups commodity sign The characteristic matching other than brand.If matching, thens follow the steps S503, if mismatching, S505 is thened follow the steps.
S503, judge the commodity brand whether the brand with other commodity corresponding to matched this group of commodity sign In preset brand rate range.Can save different brands grade in the database, include in a brand grade it is multiple not Same brand, multiple and different brands in a brand grade mean that the brand effect of the different brands is suitable.If the commodity Brand and matched this group of commodity sign corresponding to other Brands belong to the same brand grade, then determine default Brand rate range in, otherwise, it is determined that not in preset brand rate range.If in preset brand rate range, Execute step S504;If executing step S505 not in preset brand rate range.
S504 determines successful match.
S505 determines that it fails to match.
It is to be appreciated that other features are all identical, if the product of commodity if feature of the main feature other than brand in commodity Board is in a brand rate range, then can also treat using this kind of commodity as with group commodity.In this way, improve to commodity into The speed and efficiency of row management, convenient for further being operated to same group of commodity.
In one embodiment, the merchandise control method is other than above-mentioned steps S101-S104, the method also includes Following steps:
Calculate the commodity and the price price difference with other commodity in group commodity;Judge the price price difference whether pre- If in Spread Range;If the commodity and the price price difference with other commodity in group commodity are not being preset in Spread Range, under Commodity described in frame.
In the present embodiment, calculating price price difference can be using price average price as standard.Specifically, described to calculate the commodity With the price price difference of other commodity in same group of commodity, comprising: the price average price with other commodity in group commodity is calculated, In, all prices are all the prices normally bought and sold, i.e. user without using discount coupon etc., pay by purchase commodity needs Price;The price difference percentage between the commodity and the price average price of other commodity in same group commodity is calculated, by price difference percentage Than as price price difference.It is to be appreciated that being identical commodity with organizing in commodity, then the price price difference of identical commodity is answered This is not too large, therefore, a default Spread Range is arranged, wherein default Spread Range can be negative 10% to positive 10%.In advance If different values can also be arranged in Spread Range according to the difference of classification.If price price difference is not being preset in Spread Range, under The frame commodity;If price price difference is in default Spread Range, normal restocking.
The embodiment is in the case where commodity are identical, undercarriage selling at exorbitant prices and the too low commodity of undercarriage price, to keep away Exempt from the appearance of counterfeit and shoddy goods, while also avoiding price too low and bring illegitimate competition, in this way, improving enterprise's shopping The speed and efficiency of platform progress merchandise control;The commodity of undercarriage selling at exorbitant prices simultaneously, have saved cost, i.e., for like products For, enterprise's shopping platform will not purchase the commodity of also not restocking selling at exorbitant prices, so convenient for enterprise's shopping platform buying at This control improves the efficiency of the cost control of enterprise's shopping platform.
In other embodiments, when calculating the commodity and the same price price difference for organizing other commodity in commodity, with same group of quotient Lowest price in product is standard, calculates the price difference percentage between the commodity and the lowest price.
Fig. 6 is the schematic block diagram of merchandise control device provided by the embodiments of the present application.As shown in fig. 6, the device includes For executing unit corresponding to above-mentioned merchandise control method.Specifically, as shown in fig. 6, the device 60 includes acquisition of information list Member 601, feature extraction unit 602, characteristic matching unit 603, same group determination unit 604.
Information acquisition unit 601, if for detecting commodity restocking, obtain the specification attributes of the commodity, parameter details, Descriptive labelling information.
Feature extraction unit 602, for according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction The main feature of the commodity out.
In one embodiment, as shown in fig. 7, feature extraction unit 602 includes participle unit 701, classification detection unit 702, classification acquiring unit 703, classification determination unit 704 and main eigen unit 705.Wherein, participle unit 701 are used It is segmented in the specification attribute to the commodity, parameter details, descriptive labelling information.Classification detection unit 702, for detecting Whether the commodity have category information.Classification acquiring unit 703 obtains the commodity if having category information for the commodity Category information.Classification determination unit 704 determines if not having category information for the commodity according to the keyword after participle The category information of the commodity.Main eigen unit 705, for according to the main feature of preset classification and identified described The category information of commodity extracts main feature corresponding to the commodity from the keyword after participle.
Characteristic matching unit 603, for by spy corresponding to the main feature of the commodity and preset multiple groups commodity sign Sign is matched.
With group determination unit 604, if successful match is used for, using the commodity as in this group of commodity sign of successful match A commodity, the commodity and other commodity in this group of commodity sign are used as with organizing commodity.
In one embodiment, the merchandise control device further includes commodity group determination unit.Commodity group determination unit, is used for Determine feature corresponding to preset multiple groups commodity sign and the multiple groups commodity sign.
In one embodiment, as shown in figure 8, commodity group determination unit 80 is mentioned including first acquisition unit 801, fisrt feature Take that unit 802, there are detection unit 803, identification generation unit 804 and the first storage units 805.Wherein, first list is obtained Member 801, for detecting commodity restocking, obtains specification attribute, the parameter details, descriptive labelling information of commodity.Fisrt feature mentions Unit 802 is taken, for going out the feature of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction.It deposits In detection unit 803, for detecting whether the feature in the commodity exists in the database.Identification generation unit 804, if for Feature in the commodity is not present in the database, generates a commodity sign.First storage unit 805, for saving commodity Feature corresponding to mark and the commodity sign, and using the commodity as in one group of commodity corresponding to the commodity sign One commodity is saved, in this way, to obtain feature corresponding to multiple groups commodity sign and the multiple groups commodity sign.
In one embodiment, as shown in figure 9, commodity group determination unit 90 is mentioned including second acquisition unit 901, second feature It takes unit 902, delete unit 903 and the second storage unit 904.Wherein, second acquisition unit 901, for obtaining other nets Purchase the specification attribute of all or part of commodity, parameter details, descriptive labelling information in platform.Second feature extraction unit 902, for going out the feature of commodity according to the specification attribute of commodity, parameter details, descriptive labelling information extraction.Unit 903 is deleted, For being compared the feature of the commodity extracted to delete the identical feature group of product features, so that remaining every group Feature is all different.Second storage unit 904, for for remaining every group of feature generate a commodity sign, by commodity sign with Corresponding feature saves, to obtain feature corresponding to multiple groups commodity sign and the multiple groups commodity sign.
In other embodiments, as shown in Figure 10, characteristic matching unit 603 includes product features matching unit 101, matching Judging unit 102, brand judging unit 103, matching determination unit 104.Wherein, product features matching unit 101 is used for institute State commodity main feature other than brand and preset multiple groups commodity sign corresponding to feature other than brand into Row matching.Matching judgment unit 102, for judge the commodity the main feature other than brand whether with preset multiple groups Characteristic matching corresponding to commodity sign other than brand.Brand judging unit 103, if for the commodity in addition to product Characteristic matching corresponding to main feature and preset multiple groups commodity sign except board other than brand, judges the commodity Brand whether with the brands of other commodity corresponding to matched this group of commodity sign in preset brand rate range.? With determination unit 104, if for determining successful match in preset brand rate range.Determination unit 104 is matched, is also used If in not in preset brand rate range, if the commodity main feature other than brand and preset multiple groups Feature corresponding to commodity sign other than brand mismatches, and determines that it fails to match.
In one embodiment, the merchandise control device 60 further includes price difference computing unit, price difference judging unit, undercarriage list Member.Wherein, price difference computing unit, for calculating the commodity and with the price price difference of other commodity in group commodity.Price difference is sentenced Disconnected unit, for judging price price difference whether in default Spread Range.Undercarriage unit, if for the commodity and with group commodity In other commodity price price difference not in default Spread Range, commodity described in undercarriage.
It should be noted that it is apparent to those skilled in the art that, the tool of above-mentioned apparatus and each unit Body realizes process, can be no longer superfluous herein with reference to the corresponding description in preceding method embodiment, for convenience of description and succinctly It states.
Above-mentioned apparatus can be implemented as a kind of form of computer program, and computer program can be in meter as shown in figure 11 It calculates and is run on machine equipment.
Figure 11 is a kind of schematic block diagram of computer equipment provided by the embodiments of the present application.The equipment is that server etc. is set It is standby, such as mobile terminal, PC terminal.The equipment 110 includes processor 112, memory and the net connected by system bus 111 Network interface 113, wherein memory may include non-volatile memory medium 114 and built-in storage 115.
The non-volatile memory medium 114 can storage program area 1141 and computer program 1142.This is non-volatile to deposit , it can be achieved that merchandise control method described above when the computer program 1142 stored in storage media is executed by processor 112. The processor 112 supports the operation of whole equipment for providing calculating and control ability.The built-in storage 115 is non-volatile The operation of computer program in storage medium, which provides environment, may make processing when the computer program is executed by processor 112 Device 112 executes merchandise control method described above.The network interface 113 is for carrying out network communication.Those skilled in the art It is appreciated that structure shown in Figure 11, only the block diagram of part-structure relevant to application scheme, is not constituted to this The restriction for the equipment that application scheme is applied thereon, specific equipment may include than more or fewer portions as shown in the figure Part perhaps combines certain components or with different component layouts.
Wherein, the processor 112 is for running computer program stored in memory, to realize above-mentioned commercial pipes Any embodiment of reason method.
It should be appreciated that in the embodiment of the present application, alleged processor 112 can be central processing unit (Central Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (application program lication Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other can Programmed logic device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor Or the processor is also possible to any conventional processor etc..
Those of ordinary skill in the art will appreciate that be realize above-described embodiment method in all or part of the process, It is that relevant hardware can be instructed to complete by computer program.The computer program can be stored in a storage medium, The storage medium can be computer readable storage medium.The computer program is by the processing of at least one of the computer system Device executes, to realize the process step of the embodiment of the above method.
Therefore, present invention also provides a kind of storage mediums.The storage medium can be computer readable storage medium.It should Storage medium is stored with computer program, which when being executed by a processor, realizes above-mentioned merchandise control method Any embodiment.
The storage medium can be USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), magnetic disk Or the various computer readable storage mediums that can store program code such as CD.
In several embodiments provided herein, it should be understood that disclosed device, device and method, it can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, the division of the unit, Only a kind of logical function partition, there may be another division manner in actual implementation.Those skilled in the art can be with It is well understood, for convenience of description and succinctly, the specific work process of the device of foregoing description, equipment and unit can With with reference to the corresponding process in preceding method embodiment, details are not described herein.The above, the only specific embodiment party of the application Formula, but the protection scope of the application is not limited thereto, and anyone skilled in the art discloses in the application In technical scope, various equivalent modifications or substitutions can be readily occurred in, these modifications or substitutions should all cover the guarantor in the application Within the scope of shield.Therefore, the protection scope of the application should be subject to the protection scope in claims.

Claims (10)

1. a kind of merchandise control method, which is characterized in that the described method includes:
If detecting commodity restocking, specification attribute, the parameter details, descriptive labelling information of the commodity are obtained;
Go out the main feature of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction;
Feature corresponding to the main feature of the commodity and preset multiple groups commodity sign is matched;
If successful match, using the commodity as a commodity in this group of commodity sign of successful match, by the commodity with Other commodity in this group of commodity sign are used as with group commodity.
2. the method according to claim 1, wherein it is described according to the specification attribute of the commodity, parameter details, Descriptive labelling extracts the main feature of the commodity, comprising:
The specification attribute of the commodity, parameter details, descriptive labelling information are segmented;
Detect whether the commodity have category information;
If the commodity have category information, the category information of the commodity is obtained;
If the commodity do not have category information, the category information of the commodity is determined according to the keyword after participle;
According to the category information of the main feature of preset classification and the identified commodity, extracted from the keyword after participle Main feature corresponding to the commodity out.
3. the method according to claim 1, wherein the method also includes: determine preset multiple groups commodity mark Know and feature corresponding to the multiple groups commodity sign, wherein the preset multiple groups commodity sign of determination and the multiple groups quotient The corresponding feature of product mark, comprising:
If detecting commodity restocking, specification attribute, the parameter details, descriptive labelling information of commodity are obtained;
Go out the feature of the commodity according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction;
Detect whether the feature in the commodity exists in the database;
It is such as not present, generates a commodity sign;
Feature corresponding to commodity sign and the commodity sign is saved, and using the commodity as corresponding to the commodity sign A commodity in one group of commodity are saved, in this way, right to obtain multiple groups commodity sign and multiple groups commodity sign institute The feature answered.
4. the method according to claim 1, wherein the method also includes: determine preset multiple groups commodity mark Know and feature corresponding to the multiple groups commodity sign, wherein the preset multiple groups commodity sign of determination and the multiple groups quotient The corresponding feature of product mark, comprising:
Obtain the specification attribute of all or part of commodity, parameter details, descriptive labelling information in other online shopping platforms;
Go out the feature of commodity according to the specification attribute of commodity, parameter details, descriptive labelling information extraction;
The feature of the commodity extracted is compared to delete the identical feature group of product features, so that remaining every group Feature is all different;
A commodity sign is generated for remaining every group of feature, commodity sign and corresponding feature are saved, to obtain multiple groups Feature corresponding to commodity sign and the multiple groups commodity sign.
5. the method according to claim 1, wherein described by the main feature of the commodity and preset multiple groups quotient The corresponding feature of product mark is matched, comprising:
By corresponding to main feature of the commodity other than brand and preset multiple groups commodity sign other than brand Feature matched;
Judge the commodity the main feature other than brand whether with corresponding to preset multiple groups commodity sign in addition to product Characteristic matching except board;
If matching, judge whether the brand of the commodity exists with the brands of other commodity corresponding to matched this group of commodity sign In preset brand rate range;
If determining successful match in preset brand rate range;Otherwise, it determines it fails to match.
6. the method according to claim 1, wherein the method also includes:
Calculate the commodity and the price price difference with other commodity in group commodity;
If the commodity and the price price difference with other commodity in group commodity are not being preset in Spread Range, quotient described in undercarriage Product.
7. a kind of merchandise control device, which is characterized in that the merchandise control device includes:
Information acquisition unit, if specification attribute, parameter details, the commodity for obtaining the commodity are retouched for detecting commodity restocking State information;
Feature extraction unit, for going out the quotient according to the specification attribute of the commodity, parameter details, descriptive labelling information extraction The main feature of product;
Characteristic matching unit, for by feature corresponding to the main feature of the commodity and preset multiple groups commodity sign carry out Match;
With group determination unit, if successful match is used for, using the commodity as one in this group of commodity sign of successful match Commodity, using the commodity with other commodity in this group of commodity sign as with group commodity.
8. merchandise control device according to claim 7, which is characterized in that the feature extraction unit includes:
Participle unit is segmented for the specification attribute to the commodity, parameter details, descriptive labelling information;
Classification detection unit, for detecting whether the commodity have category information;
Classification acquiring unit obtains the category information of the commodity if having category information for the commodity;
Classification determination unit determines the commodity according to the keyword after participle if not having category information for the commodity Category information;
Main eigen unit, for according to the main feature of preset classification and the category information of the identified commodity, from Main feature corresponding to the commodity is extracted in keyword after participle.
9. a kind of computer equipment, which is characterized in that the computer equipment includes memory, and is connected with the memory Processor;
The memory is for storing computer program;The processor is for running the computer journey stored in the memory Sequence, to execute as the method according to claim 1 to 6.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey Sequence when the computer program is executed by processor, realizes as the method according to claim 1 to 6.
CN201910298823.XA 2019-04-15 2019-04-15 Commodity management method, commodity management device, computer equipment and storage medium Active CN110189187B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910298823.XA CN110189187B (en) 2019-04-15 2019-04-15 Commodity management method, commodity management device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910298823.XA CN110189187B (en) 2019-04-15 2019-04-15 Commodity management method, commodity management device, computer equipment and storage medium

Publications (2)

Publication Number Publication Date
CN110189187A true CN110189187A (en) 2019-08-30
CN110189187B CN110189187B (en) 2024-09-20

Family

ID=67714163

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910298823.XA Active CN110189187B (en) 2019-04-15 2019-04-15 Commodity management method, commodity management device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN110189187B (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111191981A (en) * 2019-12-24 2020-05-22 喀斯玛(北京)科技有限公司 Commodity information updating method and device
CN111291555A (en) * 2020-02-28 2020-06-16 深圳市微购科技有限公司 Commodity specification identification method and device and computer readable storage medium
CN112199451A (en) * 2020-09-30 2021-01-08 京东数字科技控股股份有限公司 Commodity identification method and device, computer equipment and storage medium
CN112488797A (en) * 2020-12-14 2021-03-12 政采云有限公司 Method, device, electronic equipment and medium for realizing automatic attachment of commodities to SPU (functional partitioning Unit)
CN113360044A (en) * 2021-06-30 2021-09-07 维沃移动通信有限公司 Information comparison method and electronic equipment
CN113420196A (en) * 2021-06-07 2021-09-21 青岛海信智慧生活科技股份有限公司 Commodity category determination method, device, equipment and medium
CN114529337A (en) * 2022-02-08 2022-05-24 北京电解智科技有限公司 Information detection method and device
WO2023125230A1 (en) * 2021-12-29 2023-07-06 深圳市世强元件网络有限公司 Method and apparatus for extracting specification parameters from commodity information, and computer device
WO2024255715A1 (en) * 2023-06-15 2024-12-19 深圳市世强元件网络有限公司 Data matching method and apparatus based on rule template, medium, and server
CN113360044B (en) * 2021-06-30 2025-02-11 维沃移动通信有限公司 Information comparison method and electronic device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004171051A (en) * 2002-11-15 2004-06-17 Fujitsu Ltd Similar product search method and similar product search program
CN103605815A (en) * 2013-12-11 2014-02-26 焦点科技股份有限公司 Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform
US20140114979A1 (en) * 2011-08-03 2014-04-24 Tencent Technology (Shenzhen) Company Limited Method and apparatus for classifying commodities on e-commerce platform
CN105045872A (en) * 2015-07-16 2015-11-11 北京京东尚科信息技术有限公司 Information screening method and information screening device
CN107464162A (en) * 2017-07-28 2017-12-12 腾讯科技(深圳)有限公司 Commodity association method, apparatus and computer-readable recording medium
CN109426983A (en) * 2017-09-01 2019-03-05 北京京东尚科信息技术有限公司 Dodge purchase activity automatic generation method and device, storage medium, electronic equipment
CN109508342A (en) * 2018-10-22 2019-03-22 叶苑庭 A kind of automatic classification managing system of the commodity of e-commerce platform

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004171051A (en) * 2002-11-15 2004-06-17 Fujitsu Ltd Similar product search method and similar product search program
US20140114979A1 (en) * 2011-08-03 2014-04-24 Tencent Technology (Shenzhen) Company Limited Method and apparatus for classifying commodities on e-commerce platform
CN103605815A (en) * 2013-12-11 2014-02-26 焦点科技股份有限公司 Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform
CN105045872A (en) * 2015-07-16 2015-11-11 北京京东尚科信息技术有限公司 Information screening method and information screening device
CN107464162A (en) * 2017-07-28 2017-12-12 腾讯科技(深圳)有限公司 Commodity association method, apparatus and computer-readable recording medium
CN109426983A (en) * 2017-09-01 2019-03-05 北京京东尚科信息技术有限公司 Dodge purchase activity automatic generation method and device, storage medium, electronic equipment
CN109508342A (en) * 2018-10-22 2019-03-22 叶苑庭 A kind of automatic classification managing system of the commodity of e-commerce platform

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111191981A (en) * 2019-12-24 2020-05-22 喀斯玛(北京)科技有限公司 Commodity information updating method and device
CN111291555A (en) * 2020-02-28 2020-06-16 深圳市微购科技有限公司 Commodity specification identification method and device and computer readable storage medium
CN111291555B (en) * 2020-02-28 2024-02-27 深圳市微购科技有限公司 Commodity specification identification method, commodity specification identification device and computer readable storage medium
CN112199451A (en) * 2020-09-30 2021-01-08 京东数字科技控股股份有限公司 Commodity identification method and device, computer equipment and storage medium
CN112488797A (en) * 2020-12-14 2021-03-12 政采云有限公司 Method, device, electronic equipment and medium for realizing automatic attachment of commodities to SPU (functional partitioning Unit)
CN112488797B (en) * 2020-12-14 2024-12-20 政采云有限公司 A method, device, electronic device and medium for realizing automatic commodity affiliation with SPU
CN113420196A (en) * 2021-06-07 2021-09-21 青岛海信智慧生活科技股份有限公司 Commodity category determination method, device, equipment and medium
CN113360044A (en) * 2021-06-30 2021-09-07 维沃移动通信有限公司 Information comparison method and electronic equipment
CN113360044B (en) * 2021-06-30 2025-02-11 维沃移动通信有限公司 Information comparison method and electronic device
WO2023125230A1 (en) * 2021-12-29 2023-07-06 深圳市世强元件网络有限公司 Method and apparatus for extracting specification parameters from commodity information, and computer device
CN114529337A (en) * 2022-02-08 2022-05-24 北京电解智科技有限公司 Information detection method and device
WO2024255715A1 (en) * 2023-06-15 2024-12-19 深圳市世强元件网络有限公司 Data matching method and apparatus based on rule template, medium, and server

Also Published As

Publication number Publication date
CN110189187B (en) 2024-09-20

Similar Documents

Publication Publication Date Title
CN110189187A (en) Merchandise control method, apparatus, computer equipment and storage medium
CN111523010B (en) Recommendation method, recommendation device, terminal equipment and computer storage medium
CN107330750B (en) A kind of recommended products figure method and device, electronic equipment
US10186054B2 (en) Automatic image-based recommendations using a color palette
US9679532B2 (en) Automatic image-based recommendations using a color palette
CN108037823B (en) Information recommendation method, Intelligent mirror and computer readable storage medium
CN106326248B (en) The storage method and device of database data
CN104239324B (en) A kind of feature extraction based on user behavior, personalized recommendation method and system
CN106846122A (en) Commodity data treating method and apparatus
US20150379006A1 (en) Automatic image-based recommendations using a color palette
US20150379001A1 (en) Automatic color validation of image metadata
CN106055710A (en) Video-based commodity recommendation method and device
CN104881798A (en) Device and method for personalized search based on commodity image features
KR20200021555A (en) Automatic-guided image capturing and presentation
CN103942712A (en) Product similarity based e-commerce recommendation system and method thereof
CN107909428A (en) Electronic device, Products Show method and computer-readable recording medium
CN104715409A (en) Method and system for electronic commerce user purchasing power classification
JP6511204B1 (en) INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, SERVER DEVICE, PROGRAM, OR METHOD
CN108241561A (en) A kind of generation method, server and the storage medium of terminal detection model
CN110134783A (en) Method, apparatus, equipment and the medium of personalized recommendation
CN105989146B (en) Object methods of exhibiting and device
US11797601B2 (en) System and method for image processing for identifying trends
CN110348972A (en) The shoes system for trying and method of view-based access control model algorithm
CN107967637B (en) Commodity object model recommendation method and device and electronic equipment
CN110189188A (en) Merchandise control method, apparatus, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant