CN109389465A - A kind of optimization method and device of electric business platform - Google Patents
A kind of optimization method and device of electric business platform Download PDFInfo
- Publication number
- CN109389465A CN109389465A CN201811110551.8A CN201811110551A CN109389465A CN 109389465 A CN109389465 A CN 109389465A CN 201811110551 A CN201811110551 A CN 201811110551A CN 109389465 A CN109389465 A CN 109389465A
- Authority
- CN
- China
- Prior art keywords
- crucial phrase
- business platform
- electric business
- keyword
- retail shop
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- 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 the optimization methods and device of a kind of electric business platform, are related to internet area, sell goods strategy for optimizing retail shop.This method comprises: obtaining one group of crucial phrase of user's input, wherein the crucial phrase includes at least two keywords that are mutually related, and each keyword is for describing a kind of commodity；Each keyword is scanned for obtaining the multiple retail shops for selling corresponding goods and intersection is taken to obtain retail shop's intersection list；If in the retail shop's intersection list obtained, the quantity of retail shop is not more than pre-determined threshold, then crucial phrase set is added in the crucial phrase, analysis is associated to the crucial phrase set and obtains across category association results.The embodiment of the present invention is applied to retail shop in electric business platform and sells goods policy optimization.
Description
Technical field
The present invention relates to Internet technical field more particularly to a kind of optimization methods and device of electric business platform.
Background technique
With the development of e-commerce industry, occurs a large amount of B2C electric business platform in the market, electric business platform can give trade company
The bridge of a connection is built between consumer, can be brought business opportunity for trade company, be brought shopping for consumer.Consumer
The commodity for being selected oneself to need using search engine are typically only capable to the search in a retail shop in the prior art and buy same category
Commodity, it is desirable to across category purchase commodity just need repeatedly to place an order.And recently as the prevailing of machine learning, recommender system
It is widely applied in electric business platform, therefore how accurately to grasp the shopping tendency of consumer, consumer's most probable is recommended to think
The commodity to buy simultaneously are technical problems urgently to be solved.
Summary of the invention
The embodiment of the present invention provides the optimization method and device of a kind of electric business platform, in the prior art can not for solving
In same retail shop the technical issues of across category purchase commodity.
To achieve the purpose that solve above-mentioned technical problem, the embodiment of the present invention is adopted the following technical scheme that
In a first aspect, the embodiment provides a kind of optimization methods of electric business platform, this method comprises:
Obtain one group of crucial phrase of user's input, wherein the crucial phrase includes at least two passes that are mutually related
Keyword, each keyword is for describing a kind of commodity；
Each keyword is scanned for obtaining the multiple retail shops for selling corresponding goods and intersection is taken to obtain retail shop's intersection column
Table；
If in the retail shop's intersection list obtained, the quantity of retail shop is not more than pre-determined threshold, then by the keyword
Crucial phrase set is added in group, is associated analysis to the crucial phrase set and obtains across category association results.
Second aspect, the embodiment provides a kind of optimization device of electric business platform, which includes:
Acquiring unit, for obtaining one group of crucial phrase of user's input, wherein the crucial phrase includes interrelated
At least two keywords, each keyword is for describing a kind of commodity；
Search unit, for scanning for obtaining the multiple retail shops for selling corresponding goods to each keyword and intersection being taken to obtain
Obtain retail shop's intersection list；
Associative cell, if the quantity of retail shop is not more than pre-determined threshold, then in retail shop's intersection list for acquisition
Crucial phrase set is added in the crucial phrase, analysis is associated to the crucial phrase set and obtains across category association knot
Fruit.
The third aspect, provides a kind of computer readable storage medium for storing one or more programs, it is one or
Multiple programs include instruction, and described instruction makes the electric business of the computer execution as described in relation to the first aspect when executed by a computer
The optimization method of platform.
Fourth aspect provides a kind of computer program product comprising instruction, when described instruction is run on computers
When, so that computer executes the optimization method of electric business platform as described in relation to the first aspect.
5th aspect, provides a kind of optimization device of electric business platform, comprising: processor and memory, memory is for depositing
Program is stored up, processor calls the program of memory storage, to execute the optimization method of electric business platform described in above-mentioned first aspect.
The optimization method and device for a kind of electric business platform that the embodiment of the present invention provides realize more in identical retail shop
The method of kind variety classes grouping of commodities search, meets the demand of the more category commodity of user's single purchase；By inversely to
The analysis of family search behavior excavates the relevance between different category commodity, and recommends platform for result as sales tactics
Trade company helps trade company to excavate user's purchasing habits and then promotes Sales Volume of Commodity.
Detailed description of the invention
Fig. 1 is a kind of optimization method flow diagram for electric business platform that the embodiment of the present invention provides；
Fig. 2 is the relationship signal between keyword, crucial phrase and crucial phrase set that the embodiment of the present invention provides
Figure；
Fig. 3 is the flow diagram for judging whether to association analysis that the embodiment of the present invention provides；
Fig. 4 be the embodiment of the present invention provide analysis be associated to crucial phrase set obtain across category association results
Method flow schematic diagram；
Fig. 5 is a kind of optimization schematic device for electric business platform that the embodiment of the present invention provides；
Fig. 6 is the composition signal of relating module in a kind of optimization device for electric business platform that the embodiment of the present invention provides
Figure.
Specific embodiment
With reference to the accompanying drawing, the embodiment of the present invention is described.
Referring to fig. 1, the embodiment of the invention provides a kind of optimization method of electric business platform, the method comprising the steps of
S100-S300:
S100, one group of crucial phrase for obtaining user's input, wherein the crucial phrase includes being mutually related at least two
Keyword, each keyword is for describing a kind of commodity.
Crucial phrase set includes multiple crucial phrases, and each crucial phrase includes multiple keywords again, for example, with reference to figure
2, crucial phrase set includes crucial phrase 1 and crucial phrase 2, wherein crucial phrase 1 includes key 1, keyword 2 and closes again
Keyword 3, crucial phrase 2 include keyword 1 and keyword 4.User inputs crucial phrase in the search engine of electric business platform, should
Crucial phrase includes the commodity keyword that a variety of users want purchase, is separated between the keyword of each crucial phrase comprising default
Symbol, which includes one of comma, pause mark, space, plus sige.
S200, each keyword is scanned for obtaining the multiple retail shops for selling corresponding goods and intersection being taken to obtain retail shop handing over
Collect list.
Crucial phrase is inputted in a search engine by step S100, and search engine scans for each keyword, should
Search engine uses full-text search mode, and retail shop to be searched and Commercial goods labels include retail shop ID, retail shop's name, commodity ID, commodity
The fields such as name, merchandise classification, using trade name as the aiming field of full-text search, to construct between search key and trade name
Mapping, to quickly return to query result.The search process includes: that acquisition first is related to multiple keywords that user inputs
Trade name, the corresponding multiple retail shops of these trade names are then found according to the retail shop and Commercial goods labels, by find should
The corresponding multiple retail shops of trade name take intersection, obtain retail shop's intersection list, finally according to the matching degree of these retail shops in list,
Appearance position, the frequency, link quality calculate the degree of correlation and ranking grade of each retail shop, according to the degree of correlation and ranking grade
Just, by the retail shop, intersection list returns to user in order.
If in S300, the retail shop's intersection list obtained, the quantity of retail shop is not more than pre-determined threshold, then by the keyword
Crucial phrase set is added in group, is associated analysis to the crucial phrase set and obtains across category association results.
With reference to Fig. 3, judge whether that the process for being associated analysis to crucial phrase set includes step S311-S315:
S311, crucial phrase is inputted in a search engine.
S312, the retail shop's list for selling the commodity is found by the corresponding commodity of keyword in crucial phrase.
S313, it takes the retail shop for generating intersection to obtain retail shop's intersection list in obtained retail shop's list, and judges the retail shop
Whether the quantity of retail shop is more than pre-determined threshold in intersection list.
S314, if so, the retail shop's intersection list directly returned is presented to the user.
S315, if it is not, being then associated analysis to crucial phrase set.
In retail shop's intersection list that step S200 or step S313 is returned, if the quantity of retail shop is greater than pre-determined threshold,
The multiple commodity for then illustrating that user this time buys may belong to same category, therefore directly return to retail shop's intersection list,
It is not belonging to the research range of the embodiment of the present invention.If the quantity of retail shop is not more than pre-determined threshold, it is same to illustrate that commodity are not belonging to
Category, and do not sell the commodity of these categories in most retail shop simultaneously at present.Therefore the keyword for inputting user is needed
Crucial phrase set is added in group, is associated analysis to the crucial phrase set and obtains across category association results.
With reference to Fig. 4, this is associated analysis to crucial phrase set and obtains across the process of category association results including step
S321-S323:
S321, select the frequency of occurrences more than or equal to the crucial phrase of support threshold from the crucial phrase set.
Support refers to the probability that a commodity occur in All Activity, and confidence level belongs to conditional probability, refers to user
Under conditions of buying a commodity, while buying the probability of another commodity.For example, set support threshold as 2, confidence level threshold
Value is 50%, the crucial phrase set in historical record include { I1, I2, I7 }, { I3, I4 }, { I5, I6, I8 }, { I1, I5 },
{I2,I4}、{I2,I3}、{I1,I6}、{I1,I3}、{I2,I3}、{I1,I3}、{I1,I3}、{I1,I5}、{I2,I5}、{I3,
I5}、{I2,I3}。
It first looks for purchase frequency and obtains frequent 1 item collection more than or equal to the commodity of support threshold, excluding frequency of occurrence is 1
Extreme phrase { I1, I2, I7 }, { I3, I4 }, { I5, I6, I8 }, in these remaining crucial phrases, frequency of occurrence is more than or equal to
The commodity of support threshold 2 be respectively { I1 }, 6 times；{ I2 }, 5 times；{ I3 }, 7 times；{ I5 }, 4 times, therefore { I1, I2, I3, I5 }
For frequent 1 item collection.
It then proceedes to search the crucial phrase set comprising commodity in frequent 1 item collection.The crucial phrase collection is judged respectively
Whether the support of each crucial phrase is more than or equal to support threshold in conjunction, and removal is less than the crucial phrase of support threshold, obtains
To frequent 2 item collection.It is searched in the crucial phrase set comprising I1, I2, I3, I5 and frequency of occurrence is more than or equal to support threshold
2 crucial phrase, i.e. { I1, I3 }, 3 times；{ I1, I5 }, 2 times；{ I2, I3 }, 3 times, therefore { I1, I3 }, { I1, I5 }, I2,
I3 } } it is frequent 2 item collection.
Similarly, the crucial phrase set comprising each crucial phrase in frequent 2 item collection is searched, compared with support threshold
Compared with removal is less than the crucial phrase of support threshold, obtains frequent 3 item collection.It continues to search until cannot obtain by more quotient
The crucial phrase of product composition.Frequent 3 item collection is empty set in this example, and there is no need to be further continued for searching.
S322, confidence level in the crucial phrase between each keyword and affiliated crucial phrase is calculated.
After the frequency of occurrences is obtained more than or equal to the crucial phrase of support threshold, setting between { I1 } and { I1, I3 } is calculated
Reliability, calculation be { I1, I3 } support divided by the support of { I1 }, i.e. 3/6=50%, can similarly obtain { I1 } with I1,
I5 } between confidence level be 33.3%, confidence level between { I2 } and { I2, I3 } is 60%, setting between { I3 } and { I2, I3 }
Reliability is 42.8%, and the confidence level between { I3 } and { I1, I3 } is 42.8%.
S323, select the confidence level between each keyword and affiliated crucial phrase more than or equal to the key of support threshold
Phrase is used as across category association results.
Confidence threshold value is 50%, thus confidence level be more than or equal to support threshold crucial phrase be { I1, I3 } and
{ I2, I3 }, { I1, I3 } and { I2, I3 } i.e. across category association results.
It should be across finally, can choose that retail shop into the multiple retail shop Zhong Fei intersection retail shops list for selling corresponding goods sends
Category association results help trade company to excavate user's purchasing habits, increase and sell category, and then promote Sales Volume of Commodity.
The optimization method and device for a kind of electric business platform that the embodiment of the present invention provides realize more in identical retail shop
The method of kind variety classes grouping of commodities search, meets the demand of the more category commodity of user's single purchase；By inversely to
The analysis of family search behavior excavates the relevance between different category commodity, and recommends platform for result as sales tactics
Trade company helps trade company to excavate user's purchasing habits and then promotes Sales Volume of Commodity.
Refering to what is shown in Fig. 5, can be applied to as above the embodiment provides a kind of optimization device of electric business platform
Shown in electric business platform optimization method.The optimization device 123 of the electric business platform includes:
Acquiring unit 100, for obtaining one group of crucial phrase of user's input, wherein the crucial phrase includes mutually closing
At least two keywords of connection, each keyword is for describing a kind of commodity.
Search unit 200, for scanning for obtaining the multiple retail shops for selling corresponding goods to each keyword and taking friendship
Collection obtains retail shop's intersection list.
Optionally, comprising default separator between the keyword of each crucial phrase, which includes comma, pauses
Number, space, one of plus sige.
Associative cell 300, if the quantity of retail shop is not more than pre-determined threshold, then in retail shop's intersection list for acquisition
Crucial phrase set is added in the crucial phrase, analysis is associated to the crucial phrase set and obtains across category association results.
Further, with reference to Fig. 6, the associative cell 300, comprising:
First choice module 301, for selecting the frequency of occurrences to be more than or equal to support threshold from the crucial phrase set
Crucial phrase.
Computing module 302, for calculating the confidence level in the crucial phrase between each keyword and affiliated crucial phrase.
Second selecting module 303, for selecting confidence level between each keyword and affiliated crucial phrase to be greater than etc.
Being used as in the crucial phrase of support threshold should across category association results.
Optionally, the optimization device 123 of the electric business platform further include: transmission unit 400,
The transmission unit 400, the retail shop in the list of multiple retail shop Zhong Fei intersection retail shops for selling corresponding goods to this
Sending should across category association results.
The embodiment of the present invention provides a kind of computer readable storage medium for storing one or more programs, one
Or multiple programs include instruction, described instruction executes computer as described in Fig. 1, Fig. 3 and Fig. 4
Electric business platform optimization method.
The embodiment of the present invention provides a kind of computer program product comprising instruction, when instruction is run on computers
When, so that computer executes the optimization method of the electric business platform as described in Fig. 1, Fig. 3 and Fig. 4.
The embodiment of the present invention provides a kind of optimization device of electric business platform, comprising: processor and memory, memory are used
In storage program, processor calls the program of memory storage, to execute the electric business platform as described in Fig. 1, Fig. 3 and Fig. 4
Optimization method.
By the optimization device, computer readable storage medium, computer journey of electric business platform in an embodiment of the present invention
Sequence product can be applied to the above method, therefore, can be obtained technical effect see also above method embodiment, this hair
Details are not described herein for bright embodiment.
It should be noted that above-mentioned each unit can be the processor individually set up, also can integrate controller certain
It is realized in one processor, in addition it is also possible to be stored in the form of program code in the memory of controller, by controller
Some processor calls and executes the function of the above each unit.Processor described here can be a central processing unit
(Central Processing Unit, CPU) or specific integrated circuit (Application Specific
Integrated Circuit, ASIC), or be arranged to implement one or more integrated circuits of the embodiment of the present invention.
It should be understood that in various embodiments of the present invention, magnitude of the sequence numbers of the above procedures are not meant to execute suitable
Sequence it is successive, the execution of each process sequence should be determined by its function and internal logic, the implementation without coping with the embodiment of the present invention
Process constitutes any restriction.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method, it can be with
It realizes by another way.For example, apparatus embodiments described above are merely indicative, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of equipment or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
Claims (11)
1. a kind of optimization method of electric business platform characterized by comprising
Obtaining one group of crucial phrase of user's input, wherein the crucial phrase includes at least two keywords that are mutually related,
Each keyword is for describing a kind of commodity；
Each keyword is scanned for obtaining the multiple retail shops for selling corresponding goods and intersection is taken to obtain retail shop's intersection list；
If in the retail shop's intersection list obtained, the quantity of retail shop is not more than pre-determined threshold, then the crucial phrase is added
Enter crucial phrase set, analysis is associated to the crucial phrase set and obtains across category association results.
2. the optimization method of electric business platform according to claim 1, which is characterized in that between the keyword of each crucial phrase
Comprising presetting separator, the default separator includes one of comma, pause mark, space, plus sige.
3. the optimization method of electric business platform according to claim 1, which is characterized in that it is described to the crucial phrase set into
Row association analysis obtains across category association results, comprising:
The frequency of occurrences is selected to be more than or equal to the crucial phrase of support threshold from the crucial phrase set；
Calculate the confidence level in the crucial phrase between each keyword and affiliated crucial phrase；
The confidence level between each keyword and affiliated crucial phrase is selected to be more than or equal to the crucial phrase of support threshold
As across the category association results.
4. the optimization method of electric business platform according to claim 1, which is characterized in that the optimization method of the electric business platform is also
Include:
Retail shop into the multiple retail shop Zhong Fei intersection retail shops list for selling corresponding goods sends across the category association knot
Fruit.
5. a kind of optimization device of electric business platform characterized by comprising
Acquiring unit, for obtain user input one group of crucial phrase, wherein the crucial phrase include be mutually related to
Few two keywords, each keyword is for describing a kind of commodity；
Search unit, for scanning for obtaining the multiple retail shops for selling corresponding goods to each keyword and intersection being taken to obtain quotient
Spread intersection list；
Associative cell, if the quantity of retail shop is not more than pre-determined threshold, then by institute in retail shop's intersection list for acquisition
It states crucial phrase and crucial phrase set is added, analysis is associated to the crucial phrase set and obtains across category association results.
6. the optimization device of electric business platform according to claim 5, which is characterized in that between the keyword of each crucial phrase
Comprising presetting separator, the default separator includes one of comma, pause mark, space, plus sige.
7. the optimization device of electric business platform according to claim 5, which is characterized in that the associative cell, comprising:
First choice module, for selecting the frequency of occurrences to be more than or equal to the key of support threshold from the crucial phrase set
Phrase；
Computing module, for calculating the confidence level in the crucial phrase between each keyword and affiliated crucial phrase；
Second selecting module is supported for selecting the confidence level between each keyword and affiliated crucial phrase to be more than or equal to
The crucial phrase of threshold value is spent as across the category association results.
8. the optimization device of electric business platform according to claim 5, which is characterized in that the optimization device of the electric business platform is also
Include:
Transmission unit, for described in retail shop's transmission into the multiple retail shop Zhong Fei intersection retail shops list for selling corresponding goods
Across category association results.
9. a kind of computer readable storage medium for storing one or more programs, which is characterized in that one or more of journeys
Sequence includes instruction, and it is according to any one of claims 1-4 that described instruction when executed by a computer executes the computer
The optimization method of electric business platform.
10. a kind of computer program product comprising instruction, which is characterized in that when described instruction is run on computers, make
Obtain the optimization method that the computer executes electric business platform according to any one of claims 1-4.
11. a kind of optimization device of electric business platform characterized by comprising processor and memory, memory is for storing journey
Sequence, processor calls the program of memory storage, to execute the optimization side of electric business platform according to any one of claims 1-4
Method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811110551.8A CN109389465B (en) | 2018-09-21 | 2018-09-21 | E-commerce platform optimization method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811110551.8A CN109389465B (en) | 2018-09-21 | 2018-09-21 | E-commerce platform optimization method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109389465A true CN109389465A (en) | 2019-02-26 |
| CN109389465B CN109389465B (en) | 2021-02-23 |
Family
ID=65419021
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811110551.8A Active CN109389465B (en) | 2018-09-21 | 2018-09-21 | E-commerce platform optimization method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109389465B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206672A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Commercial articles searching non result intelligent processing system and method |
| CN102004979A (en) * | 2009-09-03 | 2011-04-06 | 叶克 | System and method for providing commodity matching and promoting services |
| US20120143687A1 (en) * | 2007-12-13 | 2012-06-07 | Dai Nippon Printing Co., Ltd | Information providing system |
| CN103034663A (en) * | 2011-09-29 | 2013-04-10 | 阿里巴巴集团控股有限公司 | Information searching method and equipment |
| CN103226617A (en) * | 2013-05-17 | 2013-07-31 | 蒋锋 | Cloud computing goods information searching system and method |
| CN103425664A (en) * | 2012-05-16 | 2013-12-04 | 阿里巴巴集团控股有限公司 | Method and equipment for searching and displaying entity data units |
| US20160196259A1 (en) * | 2015-01-07 | 2016-07-07 | Gurunavi, Inc. | Information providing server and method of controlling information providing server |
-
2018
- 2018-09-21 CN CN201811110551.8A patent/CN109389465B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120143687A1 (en) * | 2007-12-13 | 2012-06-07 | Dai Nippon Printing Co., Ltd | Information providing system |
| CN101206672A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Commercial articles searching non result intelligent processing system and method |
| CN102004979A (en) * | 2009-09-03 | 2011-04-06 | 叶克 | System and method for providing commodity matching and promoting services |
| CN103034663A (en) * | 2011-09-29 | 2013-04-10 | 阿里巴巴集团控股有限公司 | Information searching method and equipment |
| CN103425664A (en) * | 2012-05-16 | 2013-12-04 | 阿里巴巴集团控股有限公司 | Method and equipment for searching and displaying entity data units |
| CN103226617A (en) * | 2013-05-17 | 2013-07-31 | 蒋锋 | Cloud computing goods information searching system and method |
| US20160196259A1 (en) * | 2015-01-07 | 2016-07-07 | Gurunavi, Inc. | Information providing server and method of controlling information providing server |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109389465B (en) | 2021-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6484165B1 (en) | Method and system for database manipulation | |
| US9177059B2 (en) | Method and system for determining allied products | |
| CN103914492B (en) | Query word fusion method, merchandise news dissemination method and searching method and system | |
| US8930370B2 (en) | Content aggregation method and apparatus for on-line purchasing system | |
| US8484099B1 (en) | Method, medium, and system for behavior-based recommendations of product upgrades | |
| US8290818B1 (en) | System for recommending item bundles | |
| US8285602B1 (en) | System for recommending item bundles | |
| TWI512653B (en) | Information providing method and apparatus, method and apparatus for determining the degree of comprehensive relevance | |
| CN108665333A (en) | Method of Commodity Recommendation, device, electronic equipment and storage medium | |
| US11727459B2 (en) | Search query-based replacement part interface | |
| US6748376B1 (en) | Method and system for database manipulation | |
| US20150339759A1 (en) | Detecting product attributes associated with product upgrades based on behaviors of users | |
| CN109636494A (en) | Drug recommended method and system | |
| WO2014002595A1 (en) | Information processing system, similar-category identification method, program, and computer-readable information-storage medium | |
| EP2805223A2 (en) | Intelligent navigation of a category system | |
| CN112837118A (en) | Commodity recommendation method and device for enterprise users | |
| CN107122980A (en) | The method and apparatus for recognizing the affiliated classification of commodity | |
| CN106326318B (en) | Searching method and device | |
| US20150154685A1 (en) | Automated detection of new item features by analysis of item attribute data | |
| Chen et al. | Product recommendation system for small online retailers using association rules mining | |
| CN102831526A (en) | Method and system for searching and sequencing commodities to carry out transaction on line | |
| US11282124B1 (en) | Automated identification of item attributes relevant to a browsing session | |
| JP2014115951A (en) | Apparatus, program and method for optimizing attribute information, apparatus, program and method for selecting recommendation object | |
| CN109146606B (en) | Brand recommendation method, electronic equipment, storage medium and system | |
| CN116308683A (en) | Knowledge-graph-based clothing brand positioning recommendation method, 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 |