CN108154409A - A kind of method and system of internet shopping evaluation - Google Patents
A kind of method and system of internet shopping evaluation Download PDFInfo
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- CN108154409A CN108154409A CN201611103395.3A CN201611103395A CN108154409A CN 108154409 A CN108154409 A CN 108154409A CN 201611103395 A CN201611103395 A CN 201611103395A CN 108154409 A CN108154409 A CN 108154409A
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- 230000036651 mood Effects 0.000 claims description 9
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- 230000008451 emotion Effects 0.000 claims 1
- 230000006399 behavior Effects 0.000 abstract description 8
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- G—PHYSICS
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
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Abstract
The invention discloses a kind of method and system of internet shopping evaluation, this method includes:User speech inputs evaluation content;Evaluation content described in speech recognition;Identify the moos index of user;It grades to shopping;It is graded automatically according to the moos index;Record shopping evaluation information.Technical solution of the present invention carries out automatic measure grading by voice to Shopping Behaviors, evaluation of the user to shopping is understood in all directions, obtain objective, true evaluation information, promote the good interaction of businessman and user, improve the market competitiveness of commodity, the brand loyalty of user is promoted, product brand image is established in promotion, meets the needs of internet shopping is fast-developing.
Description
Technical field
The present invention relates to Internet technical field, more particularly to a kind of method and system of internet shopping evaluation.
Background technology
Internet development is rapid, it has also become the important component of people's life and the important load of human civilization communication development
Body penetrates into economic, politics, culture, social life various aspects, changes the manner of intercourse and the mode of thinking of people.No matter
It is either in social life field in industrial circle, internet brings huge variation.
By in December, 2015, China's netizen's scale will be carried up to 6.88 hundred million, Internet penetration 50.3% compared with the end of the year 2014
Rise 2.4 percentage points.The Internet, applications based on instant messaging, search engine, Internet news and social activity, userbase one
Directly keep steadily increasing trend.Online-shopping market keeps fast-developing, and cross-border electric business and rural area electric business become market focus;
It purchases by group industry and continues " going purchasing by group ", deep-cut consumption potentiality under O2O patterns;Online war of the market in Large-Scale Interconnected net enterprise of making a reservation
It slightly registers capital to down, actively expands Xian Xia trade companies;In the case where tourism consumption rapid growth drives, online travel reservations industry rapidly develops.
Network entertainment industry chain using intellectual property as core showed huge commercial value in 2015, by popular online literature works
Not only extra earning regards new peak to the films and television programs of reorganization repeatly, and the game of reorganization can also obtain rapidly the concern of loyal bean vermicelli, and video display with
Game adapts successfully and promotes the development of online literature in itself, promotes its business model from being changed into user's charge merely
Expand audience using free mode and then cultivate high-quality intellectual property.Internet finance class application development is further deepened,
While userbase continues to expand, product pattern is by the current finance product of the early stage of development " packet for internet financing market
Seize state power " it is changed into current, regular finance product joint development;Network payment quickly pays scene extension and is expanded under line,
And actively open the services such as foreign currency payment.Influence of the internet to individual lifestyle is further deepened, be dissolved into online education,
The public services class application fields such as internet is medical, network is about hired a car, user's custom are gradually formed.
In the Internet, applications, the market scale of internet shopping class application is huge.By in December, 2015, China's network
Shopping userbase reaches 4.13 hundred million, is 14.3% compared with 2014 end of the year growth rates.Chinese online-shopping market transaction rule in 2015
Mould is 3.8 trillion yuans, increases by 36.2% over the same period last year, and the accounting in the total retail sales of consumer goods is 12.6%, compared with
Improve 2% within 2014.B2C marketings scale is 2.0 trillion yuans in Chinese online-shopping market in 2015, is increased than 2014
56.6%, the accounting in Chinese overall network shopping marketplace transaction size reaches 51.9%, and 45.2% compared with 2014 improves
6.7 percentage points, annual accounting is for the first time more than C2C markets.
Evaluation of the user to shopping is understood, for promoting internet sales, the interest for improving user's participation, enhancing user mutual
The experience of networking shopping, has the function of positive.Understand user to be mainly reflected in the effect of the evaluation of shopping:
1), understand consumer demand.By research to consumer's attitude of consumer, behavior, understand consumer certain is produced
Product or the demand of service make enterprise fully consider consumer's opinion during Marketing Design is carried out, and meet consumption to greatest extent
Person's demand.
2), understand the market manifestation of competing product.Carry out internet shopping, improve the efficiency of the marketing, it is to be understood that
Market competition, marketing strategy of sold product etc. analyze the situation that segments market, find suitable product market.Market survey
Help to have the initiative in hands in competition.
3) it, assesses, monitor market operation situation.It can know product condition of sales, user feedback, understand a certain marketing
The executive condition of strategy when a problem occurs, in time adjusts scheme through row.
4) gaps in market and the market opportunity, are found.Under the competitive environment of competition, it is necessary to constantly adjust type of merchandize and
Price, to form new profit growth point.Understanding user's evaluation helps to understand consumer demand, market latest tendency etc., with
It was found that the market opportunity, in time, accurately cuts market.
5) marketing strategy, is worked out.Help to understand how commodity enter market, how to establish and keep brand shape
As to realize the target of goods marketing.
Existing to understand technical solution that user evaluates Shopping Behaviors still based on user's self-appraisal, i.e., user oneself is right
Shopping Behaviors are given a mark and are graded.But this kind of mode can encounter the feelings such as user abandons evaluation, unrest is evaluated, subjectivity is too strong
Condition causes the problems such as sample size of effective evaluation is few, question answering cannot reflect objective conditions, evaluation information is unilateral, can not
Effectively play the effect of evaluation information.
Invention content
The present invention provides a kind of method and system of internet shopping evaluation, and Shopping Behaviors are commented automatically by voice
Grade, in all directions evaluation of the understanding user to shopping, objective, the true evaluation information of acquisition, promotion businessman and user's is benign mutual
It is dynamic, the market competitiveness of commodity is improved, promotes the brand loyalty of user, promotion establishes product brand image, meets internet
The fast-developing demand of shopping.
Technical scheme of the present invention provides a kind of method of internet shopping evaluation, includes the following steps:
User speech inputs evaluation content;
Evaluation content described in speech recognition;
Identify the moos index of user;
It grades to shopping;
Record shopping evaluation information.
Further, evaluation content described in the speech recognition, further comprises:
After the completion of speech recognition, the evaluation content of identification has been completed in evaluation interface display;
User edits and confirms the evaluation content for having completed identification.
Further, the moos index of the identification user, further comprises:
Expression and Action system is set, voice is analyzed, obtains the moos index.
Further, described pair of shopping is graded, and is further comprised:
Setting shopping rating system, grades automatically according to the moos index.
Further, the record shopping evaluation, including but not limited to records user speech, the moos index and described
Grading.
Technical scheme of the present invention additionally provides a kind of system of internet shopping evaluation, including voice-input unit, language
Sound recognition unit, voice mood recognition unit, grading unit and database, wherein:
Voice-input unit is used for phonetic entry evaluation content;
Voice recognition unit is used to carry out speech recognition to the evaluation content;
Voice mood recognition unit is used to analyze voice and obtains the moos index;
Grading unit is used to grade to shopping;
Database is for record to the evaluation information of shopping.
Further, after the voice recognition unit completes speech recognition, the voice mood recognition unit starts to analyze
The moos index.
Further, the grading unit is graded automatically according to the moos index.
Further, the evaluation information includes user speech, the moos index and the grading.
Technical solution of the present invention carries out automatic measure grading by voice to Shopping Behaviors, understands user in all directions and shopping is commented
Valency obtains objective, true evaluation information, promotes the good interaction of businessman and user, improves the market competitiveness of commodity, is promoted
Product brand image is established in the brand loyalty of user, promotion, meets the needs of internet shopping is fast-developing
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention is described in further detail.
Description of the drawings
Attached drawing is used to provide further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
Example is applied together for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the method flow diagram of shopping evaluation in internet in the embodiment of the present invention one;
Fig. 2 is the system construction drawing of shopping evaluation in internet in the embodiment of the present invention one.
Specific embodiment
The preferred embodiment of the present invention is illustrated below in conjunction with attached drawing, it should be understood that preferred reality described herein
It applies example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Fig. 1 is the method flow diagram of shopping evaluation in internet in the embodiment of the present invention one.As shown in Figure 1, the flow includes
Following steps:
Step 101, user speech input evaluation content.
Step 102, speech recognition evaluation content.
After the completion of speech recognition, the evaluation content of identification has been completed in evaluation interface display;
User edits and confirms the evaluation content for having completed identification.
Step 103, the moos index for identifying user.
Expression and Action system is set, voice is analyzed, obtains the moos index of user.
Step 104 grades to shopping.
Setting shopping rating system, automatically grades to Shopping Behaviors according to the moos index of acquisition.
Step 105, record shopping evaluation information.
The shopping evaluation information of record including but not limited to records user speech, moos index and grading.
In order to realize above method flow, the present embodiment additionally provides a kind of system of internet shopping evaluation, and Fig. 2 is this
The system construction drawing of internet shopping evaluation in inventive embodiments one.As shown in Fig. 2, the system includes:Voice-input unit
201st, voice recognition unit 202, voice mood recognition unit 203, grading unit 204 and database 205, wherein:
Voice-input unit is used for phonetic entry evaluation content;
Voice recognition unit is used to carry out speech recognition to the evaluation content;
Voice mood recognition unit is used to analyze voice and obtains the moos index;
Grading unit is used to grade to shopping;
Database is for record to the evaluation information of shopping.
After voice recognition unit completes speech recognition, voice mood recognition unit starts to analyze moos index.
Grading unit is graded automatically according to the moos index that analysis obtains.
The evaluation information of data-base recording includes user speech, moos index and grading.
Technical solution of the present invention carries out automatic measure grading by voice to Shopping Behaviors, understands user in all directions and shopping is commented
Valency obtains objective, true evaluation information, promotes the good interaction of businessman and user, improves the market competitiveness of commodity, is promoted
Product brand image is established in the brand loyalty of user, promotion, meets the needs of internet shopping is fast-developing
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the present invention
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the present invention
The shape of computer program product that usable storage medium is implemented on (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (9)
- A kind of 1. method of internet shopping evaluation, which is characterized in that include the following steps:User speech inputs evaluation content;Evaluation content described in speech recognition;Identify the moos index of user;It grades to shopping;Record shopping evaluation information.
- 2. according to the method described in claim 1, it is characterized in that, evaluation content described in the speech recognition, further comprises:After the completion of speech recognition, the evaluation content of identification has been completed in evaluation interface display;User edits and confirms the evaluation content for having completed identification.
- 3. according to the method described in claim 1, it is characterized in that, the moos index of the identification user, further comprises:Expression and Action system is set, voice is analyzed, obtains the moos index.
- 4. the method according to claim 1 or 3, which is characterized in that described pair of shopping is graded, and is further comprised:Setting shopping rating system, grades automatically according to the moos index.
- 5. according to the method described in claim 1, it is characterized in that, the record shopping evaluation, including but not limited to record are used Family voice, the moos index and the grading.
- 6. a kind of system of internet shopping evaluation, which is characterized in that including voice-input unit, voice recognition unit, voice Emotion identification unit, grading unit and database, wherein:Voice-input unit is used for phonetic entry evaluation content;Voice recognition unit is used to carry out speech recognition to the evaluation content;Voice mood recognition unit is used to analyze voice and obtains the moos index;Grading unit is used to grade to shopping;Database is for record to the evaluation information of shopping.
- 7. system according to claim 6, which is characterized in that described after the voice recognition unit completes speech recognition Voice mood recognition unit starts to analyze the moos index.
- 8. system according to claim 6, which is characterized in that the grading unit carries out automatically according to the moos index Grading.
- 9. system according to claim 6, which is characterized in that the evaluation information includes user speech, the mood refers to Number and the grading.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117133271A (en) * | 2023-10-25 | 2023-11-28 | 北京吉道尔科技有限公司 | Block chain-based e-commerce platform shopping and intelligent voice evaluation method and system |
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CN103345688A (en) * | 2013-07-05 | 2013-10-09 | 倪慎瑜 | Dual-feedback credit assessment system and method based on emotion and credit |
CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
JP2016143340A (en) * | 2015-02-04 | 2016-08-08 | 株式会社Exidea | Information processing system, information processing terminal and information processing program |
CN106022676A (en) * | 2016-05-09 | 2016-10-12 | 华南理工大学 | Method and apparatus for rating complaint willingness of logistics client |
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2016
- 2016-12-05 CN CN201611103395.3A patent/CN108154409A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101662549A (en) * | 2009-09-09 | 2010-03-03 | 中兴通讯股份有限公司 | Customer evaluation system and customer evaluation method based on voice |
CN103345688A (en) * | 2013-07-05 | 2013-10-09 | 倪慎瑜 | Dual-feedback credit assessment system and method based on emotion and credit |
CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
JP2016143340A (en) * | 2015-02-04 | 2016-08-08 | 株式会社Exidea | Information processing system, information processing terminal and information processing program |
CN106022676A (en) * | 2016-05-09 | 2016-10-12 | 华南理工大学 | Method and apparatus for rating complaint willingness of logistics client |
Cited By (2)
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CN117133271A (en) * | 2023-10-25 | 2023-11-28 | 北京吉道尔科技有限公司 | Block chain-based e-commerce platform shopping and intelligent voice evaluation method and system |
CN117133271B (en) * | 2023-10-25 | 2024-07-09 | 广州拉拉米信息科技股份有限公司 | Block chain-based e-commerce platform shopping and intelligent voice evaluation method and system |
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Application publication date: 20180612 |