CN108874874A - Product market orientation method and system, storage medium - Google Patents
Product market orientation method and system, storage medium Download PDFInfo
- Publication number
- CN108874874A CN108874874A CN201810394431.9A CN201810394431A CN108874874A CN 108874874 A CN108874874 A CN 108874874A CN 201810394431 A CN201810394431 A CN 201810394431A CN 108874874 A CN108874874 A CN 108874874A
- Authority
- CN
- China
- Prior art keywords
- product
- analyzed
- theme
- online customer
- customer comment
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- Game Theory and Decision Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of product market orientation method and system, storage medium, and method includes:Acquire the online customer comment of multiple products to be analyzed;According to online customer comment, multiple product themes are determined by the way of clustering;Determine the quantity of online customer comment of each product to be analyzed under each product theme;According to the quantity of online customer comment of each product to be analyzed under each product theme, product to be analyzed-product theme connection table is constructed;Dimensionality reduction is carried out to product to be analyzed-product theme connection table using corresponding analysis method, obtains correspondence analysis X-Y scheme;According to position of multiple products to be analyzed in correspondence analysis X-Y scheme, competition circle where determining each product to be analyzed, and the product theme in competition circle will be located at as the positioning theme of the product to be analyzed.User can be helped to understand the market orientation of product through the invention.
Description
Technical field
The present invention relates to market analysis technical fields, and in particular to a kind of product market orientation method and system, storage are situated between
Matter.
Background technique
With the fast development of information technology, more and more consumers selection divides on the social network sites such as microblogging, forum
The shopping experience of oneself is enjoyed, there are large-tonnage product information in these online customer comments, can help enterprise using these information
Carry out market analysis etc..
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of product market orientation method and system, storage medium, energy
User is enough helped to understand the market orientation of product.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs:
In a first aspect, the embodiment of the present invention provides a kind of product market orientation method, including:
Acquire the online customer comment of multiple products to be analyzed;
According to the online customer comment, multiple product themes are determined by the way of clustering;The product theme
For superior product attribute and/or disadvantage product attribute;
Determine the quantity of online customer comment of each product to be analyzed under each product theme;According to it is each to
The quantity for analyzing online customer comment of the product under each product theme, constructs product to be analyzed-product theme connection table;
Dimensionality reduction is carried out to the product to be analyzed-product theme connection table using corresponding analysis method, obtains correspondence analysis two
Dimension figure;
According to position of the multiple product to be analyzed in the correspondence analysis X-Y scheme, each production to be analyzed is determined
Competition circle where product, and the product theme in the competition circle will be located at as the positioning theme of the product to be analyzed.
Second aspect, the embodiment of the present invention provide a kind of product market orientation system, including:
Acquisition module is commented on, for acquiring the online customer comment of multiple products to be analyzed;
Theme determining module, for determining multiple products by the way of clustering according to the online customer comment
Theme;The product theme is superior product attribute and/or disadvantage product attribute;
Matrix constructs module, for determining online customer comment of each product to be analyzed under each product theme
Quantity;According to the quantity of online customer comment of each product to be analyzed under each product theme, product-to be analyzed is constructed
Product theme joins table;
Matrix dimensionality reduction module, for being dropped using corresponding analysis method to the product to be analyzed-product theme connection table
Dimension, obtains correspondence analysis X-Y scheme;
Theme position module, for the position according to the multiple product to be analyzed in the correspondence analysis X-Y scheme,
Competition circle where determining each product to be analyzed, and the product theme in the competition circle will be located at as the product to be analyzed
Positioning theme.
The third aspect, the embodiment of the present invention provide a kind of computer storage medium, are stored thereon with computer program, are locating
Reason device can realize the above method when executing the computer program.
(3) beneficial effect
The embodiment of the invention provides a kind of product market orientation method and systems, storage medium, have following beneficial to effect
Fruit:Product market orientation method provided by the invention, the online customer comment for being primarily based on product to be analyzed determine multiple products
Then theme determines the quantity of online customer comment of each product to be analyzed under each product theme, constructs production to be analyzed
Product-product theme joins table, is then based on the rectangular into corresponding analysis of two-dimensional figure, and then according to product to be analyzed each in the figure
With the position of each product theme, the positioning theme of each product to be analyzed is determined, and then realize the market to product to be analyzed
Positioning, thus help user for product to be analyzed market launch, publicity etc. work.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 shows the flow diagram of product market orientation method in one embodiment of the invention;
Fig. 2 shows the schematic diagrames of correspondence analysis X-Y scheme in one embodiment of the invention;
Fig. 3 shows the structural block diagram of product market orientation system in one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In a first aspect, the present invention provides a kind of product market orientation method, as shown in Figure 1, this method includes:
The online customer comment of S101, the multiple products to be analyzed of acquisition;
It will be appreciated that the quantity of product to be analyzed can be one, or multiple.Each of acquisition is to be analyzed
The quantity of the online customer comment of product may be the same or different.
For example, product to be analyzed has Kazakhstan not H6, wins more, Tiggo 7 passes auspicious GS4, Chang'an CS75, Roewe RX5 etc..
S102, according to the online customer comment, multiple product themes are determined by the way of clustering;The product
Theme is superior product attribute and/or disadvantage product attribute;
It will be appreciated that product theme can be superior product attribute, product attribute is the characteristic information of a product, example
Such as, cost performance, interior material, configuration, appearance, power, oil consumption etc., superior product attribute are the product category for the advantage that can be used as
Property, for example, cost performance is high, interior material is good, configuration is high, appearance is beautiful, power is sufficient, oil consumption is low etc..Certainly, product theme can also
Disadvantage product attribute is thought, for example, noise is big etc..
In practical application, the determination of product theme can use various ways, a kind of concrete mode is described below:
S1021, the online customer comment of each is converted into a term vector;
Before online customer comment is converted to term vector, certain pre- place can also be carried out to online customer comment
Reason, for example, rejecting stop words therein etc..
S1022, clustering processing is carried out to each term vector being converted to using K-means algorithm, obtains multiple classifications;
For example, all online customer comments are clustered into k class by clustering processing.
S1023, according to the product attribute in each classification, determine the corresponding product theme of the category.
Here, the particular content in the online customer comment in conjunction with every one kind is needed, determines such corresponding product theme,
It can specifically be realized by way of extracting the product attribute in comment, carrying out superiority and inferiority analysis to the product attribute extracted.
S103, the quantity for determining online customer comment of each product to be analyzed under each product theme;According to
The quantity of online customer comment of each product to be analyzed under each product theme constructs product to be analyzed-product theme connection
Table;
Since the quantity of the online customer comment of each product to be analyzed may be the same or different;When quantity is identical
When, the value that product to be analyzed-product theme joins element in table can be corresponding in the element for the corresponding product to be analyzed of the element
Product theme under online customer comment quantity;When quantity difference, element in product to be analyzed-product theme connection table
Value can account for for the quantity of online customer comment of the corresponding product to be analyzed of the element under the corresponding product theme of the element
Than so-called quantity accounting refers to online client of the corresponding product to be analyzed of the element under the corresponding product theme of the element
Ratio of the quantity of comment between the quantity of the online customer comment of the product to be analyzed.At this point, constructing product-production to be analyzed
The process of product theme connection table may include:By online customer comment of each product to be analyzed under each product theme
Quantity is converted to the quantity accounting of online customer comment of the product to be analyzed under the product theme;By each product to be analyzed
The quantity accounting of online customer comment under each product theme forms the product to be analyzed-product theme and joins table.
For example, the quantity of online customer comment of multiple automobile products under multiple product themes is as shown in table 1 below:
The product to be analyzed of table 1-product theme joins table
S104, dimensionality reduction is carried out to the product to be analyzed-product theme connection table using corresponding analysis method, obtains corresponding point
Analyse X-Y scheme;
For example, use correspondence analysis that can will handle according to table 1 as correspondence analysis X-Y scheme shown in Fig. 2.
S105, the position according to the multiple product to be analyzed in the correspondence analysis X-Y scheme, determine that each is waited for
Competition circle where analyzing product, and the product theme in the competition circle will be located at as the positioning theme of the product to be analyzed.
In the specific implementation, the determination process for competing circle may include:
According to distance of the multiple product to be analyzed in the correspondence analysis X-Y scheme, by the multiple production to be analyzed
Product are divided into multiple classifications, and enclose the region where each classification as a competition.
For example, 3 competition circles can be formed according to Fig. 2:
Competition circle 1:Tiggo 7 breathes out not H6, and product theme is that configuration is high in the competition circle 1, then configures a height of Tiggo 7 and breathe out
The not positioning theme of H6;
Competition circle 2:It passes auspicious GS4, win more, the product theme in the competition circle 2 is that appearance is beautiful, power is sufficient and cost performance
Height, then appearance is beautiful, power is sufficient and cost performance is a height of passes auspicious GS4, rich positioning theme more;
Competition circle 3:Roewe RX5 and Chang'an CS75, the product theme in the competition circle 3 are that oil consumption is low and interior material is good,
Then oil consumption is low and interior material is the positioning theme of Tiggo 7, Roewe RX5 and Chang'an CS75 well.
Product market orientation method provided by the invention, be primarily based on product to be analyzed online customer comment determine it is multiple
Then product theme determines the quantity of online customer comment of each product to be analyzed under each product theme, construct wait divide
Division product-product theme joins table, is then based on the rectangular into corresponding analysis of two-dimensional figure, and then according to each to be analyzed in the figure
The position of product and each product theme determines the positioning theme of each product to be analyzed, and then realizes to product to be analyzed
Market orientation, thus help user for product to be analyzed market launch, publicity etc. work.
Second aspect, the present invention provides a kind of product market orientation system, as shown in figure 3, the system includes:
Acquisition module is commented on, for acquiring the online customer comment of multiple products to be analyzed;
Theme determining module, for determining multiple products by the way of clustering according to the online customer comment
Theme;The product theme is superior product attribute and/or disadvantage product attribute;
Matrix constructs module, for determining online customer comment of each product to be analyzed under each product theme
Quantity;According to the quantity of online customer comment of each product to be analyzed under each product theme, product-to be analyzed is constructed
Product theme joins table;
Matrix dimensionality reduction module, for being dropped using corresponding analysis method to the product to be analyzed-product theme connection table
Dimension, obtains correspondence analysis X-Y scheme;
Theme position module, for the position according to the multiple product to be analyzed in the correspondence analysis X-Y scheme,
Competition circle where determining each product to be analyzed, and the product theme in the competition circle will be located at as the product to be analyzed
Positioning theme.
In some instances, the theme determining module is specifically used for:Reject the stop words in the online customer comment;
The online customer comment of each is converted into a term vector;Using K-means algorithm to each term vector being converted into
Row clustering processing obtains multiple classifications;According to the product attribute in each classification, the corresponding product theme of the category is determined.
In some instances, the matrix building module is specifically used for:By each product to be analyzed in each product
The quantity of online customer comment under theme is converted to the number of online customer comment of the product to be analyzed under the product theme
Measure accounting;By the quantity accounting of online customer comment of each product to be analyzed under each product theme, formed described wait divide
Division product-product theme joins table.
In some instances, the theme position module is specifically used for:According to the multiple product to be analyzed described right
The distance in analysis of two-dimensional figure is answered, the multiple product to be analyzed is divided into multiple classifications, and by the area where each classification
Domain is enclosed as a competition.
It will be appreciated that product market orientation system provided by the invention and product market orientation method provided by the invention
Corresponding, the part such as explanation, citing, beneficial effect in relation to content can be with the phase in reference product market orientation method
Hold inside the Pass, details are not described herein again.
The third aspect, the present invention provide a kind of computer storage medium, are stored thereon with computer program, hold in processor
The said goods market orientation method can be realized when the row computer program.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that:It still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features;And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (9)
1. a kind of product market orientation method, which is characterized in that including:
Acquire the online customer comment of multiple products to be analyzed;
According to the online customer comment, multiple product themes are determined by the way of clustering;The product theme is excellent
Gesture product attribute and/or disadvantage product attribute;
Determine the quantity of online customer comment of each product to be analyzed under each product theme;According to each to be analyzed
The quantity of online customer comment of the product under each product theme constructs product to be analyzed-product theme connection table;
Dimensionality reduction is carried out to the product to be analyzed-product theme connection table using corresponding analysis method, obtains correspondence analysis X-Y scheme;
According to position of the multiple product to be analyzed in the correspondence analysis X-Y scheme, each product institute to be analyzed is determined
It is enclosed in competition, and the product theme in the competition circle will be located at as the positioning theme of the product to be analyzed.
2. the method as described in claim 1, which is characterized in that described to determine multiple product masters by the way of clustering
Topic, including:
Reject the stop words in the online customer comment;
The online customer comment of each is converted into a term vector;
Clustering processing is carried out to each term vector being converted to using K-means algorithm, obtains multiple classifications;
According to the product attribute in each classification, the corresponding product theme of the category is determined.
3. the method as described in claim 1, which is characterized in that the building product to be analyzed-product theme joins table, including:
The quantity of online customer comment of each product to be analyzed under each product theme is converted into the production to be analyzed
The quantity accounting of online customer comment of the product under the product theme;
By the quantity accounting of online customer comment of each product to be analyzed under each product theme, the production to be analyzed is formed
Product-product theme joins table.
4. the method as described in claim 1, which is characterized in that competition circle where each product to be analyzed of the determination, packet
It includes:
According to distance of the multiple product to be analyzed in the correspondence analysis X-Y scheme, the multiple product to be analyzed is drawn
It is divided into multiple classifications, and is enclosed the region where each classification as a competition.
5. a kind of product market orientation system, which is characterized in that including:
Acquisition module is commented on, for acquiring the online customer comment of multiple products to be analyzed;
Theme determining module, for determining multiple product themes by the way of clustering according to the online customer comment;
The product theme is superior product attribute and/or disadvantage product attribute;
Matrix constructs module, for determining the number of online customer comment of each product to be analyzed under each product theme
Amount;According to the quantity of online customer comment of each product to be analyzed under each product theme, product-product to be analyzed is constructed
Theme joins table;
Matrix dimensionality reduction module is obtained for carrying out dimensionality reduction to the product to be analyzed-product theme connection table using corresponding analysis method
To correspondence analysis X-Y scheme;
Theme position module is determined for the position according to the multiple product to be analyzed in the correspondence analysis X-Y scheme
Competition circle where each product to be analyzed, and the product theme being located in the competition circle is determined as the product to be analyzed
Position theme.
6. system as claimed in claim 5, which is characterized in that the theme determining module is specifically used for:It rejects described online
Stop words in customer comment;The online customer comment of each is converted into a term vector;Using K-means algorithm to conversion
Obtained each term vector carries out clustering processing, obtains multiple classifications;According to the product attribute in each classification, the category is determined
Corresponding product theme.
7. system as claimed in claim 5, which is characterized in that the matrix building module is specifically used for:Each is waited for point
Division product are converted to the product to be analyzed under the product theme in the quantity of the online customer comment under each product theme
Online customer comment quantity accounting;By the quantity of online customer comment of each product to be analyzed under each product theme
Accounting forms the product to be analyzed-product theme and joins table.
8. system as claimed in claim 5, which is characterized in that the theme position module is specifically used for:According to the multiple
The multiple product to be analyzed is divided into multiple classifications by distance of the product to be analyzed in the correspondence analysis X-Y scheme, and
It is enclosed the region where each classification as a competition.
9. a kind of computer storage medium, is stored thereon with computer program, which is characterized in that execute the calculating in processor
Claims 1 to 4 described in any item methods can be realized when machine program.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810394431.9A CN108874874A (en) | 2018-04-27 | 2018-04-27 | Product market orientation method and system, storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810394431.9A CN108874874A (en) | 2018-04-27 | 2018-04-27 | Product market orientation method and system, storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108874874A true CN108874874A (en) | 2018-11-23 |
Family
ID=64326747
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810394431.9A Pending CN108874874A (en) | 2018-04-27 | 2018-04-27 | Product market orientation method and system, storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108874874A (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080154701A1 (en) * | 2000-02-22 | 2008-06-26 | International Business Machines Corporation | Method and System for Researching Sales Effects of Advertising Using Association Analysis |
CN101901230A (en) * | 2009-05-31 | 2010-12-01 | 国际商业机器公司 | Information retrieval method, user comment processing method and system thereof |
US20120290933A1 (en) * | 2011-05-09 | 2012-11-15 | Google Inc. | Contextual Video Browsing |
CN103778214A (en) * | 2014-01-16 | 2014-05-07 | 北京理工大学 | Commodity property clustering method based on user comments |
CN103824192A (en) * | 2012-08-31 | 2014-05-28 | 埃森哲环球服务有限公司 | Hybrid recommendation system |
CN103927309A (en) * | 2013-01-14 | 2014-07-16 | 阿里巴巴集团控股有限公司 | Method and device for marking information labels for business objects |
CN106384245A (en) * | 2016-09-06 | 2017-02-08 | 合肥工业大学 | Product feature analysis method and system |
CN106682811A (en) * | 2016-11-23 | 2017-05-17 | 广西中烟工业有限责任公司 | Market network visualization method based on density clustering and force guidance algorithm |
CN107908753A (en) * | 2017-11-20 | 2018-04-13 | 合肥工业大学 | Customer demand method for digging and device based on social media comment data |
-
2018
- 2018-04-27 CN CN201810394431.9A patent/CN108874874A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080154701A1 (en) * | 2000-02-22 | 2008-06-26 | International Business Machines Corporation | Method and System for Researching Sales Effects of Advertising Using Association Analysis |
CN101901230A (en) * | 2009-05-31 | 2010-12-01 | 国际商业机器公司 | Information retrieval method, user comment processing method and system thereof |
US20120290933A1 (en) * | 2011-05-09 | 2012-11-15 | Google Inc. | Contextual Video Browsing |
CN103824192A (en) * | 2012-08-31 | 2014-05-28 | 埃森哲环球服务有限公司 | Hybrid recommendation system |
CN103927309A (en) * | 2013-01-14 | 2014-07-16 | 阿里巴巴集团控股有限公司 | Method and device for marking information labels for business objects |
CN103778214A (en) * | 2014-01-16 | 2014-05-07 | 北京理工大学 | Commodity property clustering method based on user comments |
CN106384245A (en) * | 2016-09-06 | 2017-02-08 | 合肥工业大学 | Product feature analysis method and system |
CN106682811A (en) * | 2016-11-23 | 2017-05-17 | 广西中烟工业有限责任公司 | Market network visualization method based on density clustering and force guidance algorithm |
CN107908753A (en) * | 2017-11-20 | 2018-04-13 | 合肥工业大学 | Customer demand method for digging and device based on social media comment data |
Non-Patent Citations (1)
Title |
---|
侯治平等: "对应分析法对电子商务网站评价的研究", 《生产力研究》 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105512242B (en) | A kind of parallel recommendation method based on social network structure | |
CN105528356B (en) | Structured tag generation method, application method and device | |
CN105205081B (en) | Item recommendation method and device | |
CN107632984A (en) | A kind of cluster data table shows methods, devices and systems | |
CN107515878A (en) | The management method and device of a kind of data directory | |
CN106294500A (en) | The method for pushing of content item, Apparatus and system | |
CN104424240B (en) | Multilist correlating method, main service node, calculate node and system | |
CN110197404A (en) | The personalized long-tail Method of Commodity Recommendation and system of popularity deviation can be reduced | |
Kunegis | Handbook of Network Analysis [KONECT--the Koblenz Network Collection] | |
CN103426089B (en) | Commodity purchase guiding system and method | |
CN108537291A (en) | A kind of sample classification method and apparatus | |
CN102129457A (en) | Method for inquiring large-scale semantic data paths | |
Goodrich et al. | How to catch marathon cheaters: New approximation algorithms for tracking paths | |
CN108874874A (en) | Product market orientation method and system, storage medium | |
CN103617198B (en) | Page merging method and device | |
CN110489131A (en) | A kind of gray scale user choosing method and device | |
CN110019646B (en) | Method and device for establishing index | |
CN104951467B (en) | Statistical method and device | |
CN109165282A (en) | A kind of network data grasping means and system | |
CN110427558B (en) | Resource processing event pushing method and device | |
Li et al. | An community detection algorithm based on the multi-attribute similarity | |
CN105279155B (en) | A kind of data processing method and device accessing object | |
CN103064990B (en) | Query method using index data file | |
Baskaran et al. | Scale-free networks in international trade | |
CN105824844B (en) | A kind of mapping method and device of data classification |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181123 |