CN105894315A - Evaluation filtering method - Google Patents
Evaluation filtering method Download PDFInfo
- Publication number
- CN105894315A CN105894315A CN201510016204.9A CN201510016204A CN105894315A CN 105894315 A CN105894315 A CN 105894315A CN 201510016204 A CN201510016204 A CN 201510016204A CN 105894315 A CN105894315 A CN 105894315A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- blacklist
- stars
- consumer
- commodity
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an evaluation filtering method, which is characterized by comprising the steps of: establishing a personal blacklist library, setting a range value, and adding an ID with an evaluation having a difference between the evaluation and one's own evaluation exceeding the range value into a filtering list; automatically filtering out ID factors in the blacklist among evaluation total points or evaluation lists of other commodities or merchants; and setting a following mode for increasing relevant information continuously so as to compensate for insufficient information amount. The evaluation filtering method provided by the invention filters out the evaluations of users which are quite different from one's own evaluation range by adopting a method of establishing the blacklist library, shows real situation of consumer shopping evaluations, effectively filters out other information inconsistent with the evaluation of the consumer, and is real and effective.
Description
Technical field
The present invention relates to a kind of method evaluating filtration.
Background technology
Along with the development of network communications technology, society enters the epoch of information superhighway already, and the various information produced therefrom are innumerable, the huge covering industry-by-industry of its quantity of information.Ecommerce is prevailing for over ten years, not only changes the pattern of the market operation, have also been changed the mode of the trip exchange of people simultaneously.Platform in virtual network transaction, real-life " public praise " becomes " evaluation " stayed after buying various article in the network life, consumer determines the public praise in this commodity shopping on the webs colony for " evaluation " of a certain commodity, the most therefore, evaluation in increasing shopping process is utilized by some people and becomes the instrument that interests obtain, it is exactly wherein typical hands section for the brush prestige that This is what people generally disapprove of always, this non-honest management style is not only brought to consumer and is not inconsistent real shopping reference and has influence on the interests of consumer, simultaneously, have influence on the validity that online-shopping market is overall the most to a certain extent, consumer is allowed gradually to lose the confidence for net purchase market, produce the disappointment of groupment.This can produce extremely disadvantageous impact for the net purchase market of China or even the world, but it is contained by means the most not relevant in prior art.
Therefore, prior art needs to be improved.
Summary of the invention
The present invention is to solve the deficiencies in the prior art, it is provided that a kind of method evaluating filtration, truly represent the situation that consumer's shopping is evaluated, effectively filter and evaluate, with consumer itself, other information not being inconsistent, authentic and valid.
For solving above-mentioned technical problem, a kind of method evaluating filtration that the embodiment of the present invention provides, adopt the following technical scheme that
A kind of method evaluating filtration, it is characterised in that comprise the steps: to set up the blacklist storehouse of individual, set point value, the discrepancy of evaluating with oneself is added filtered listings greater than the ID of this value range；In the evaluation total score or evaluation inventory of other commodity or businessman, the ID factor in blacklist is fallen in automatic fitration；Follow the mode can be set it is continuously increased relevant information for making up not enough this method of quantity of information.
Specifically, described value range is not fixing, can constantly arrange and adjust.
Specifically, described blacklist is not fixing, is that constantly accumulation is formed.
Specifically, this method is used for various evaluation methodologys and the basic statistical of sales volume.
Specifically, described follow the mode refers to call the blacklist of the people close with oneself evaluation of estimate, filters.
A kind of method evaluating filtration that the present invention provides, the evaluation of the user excessive with the discrepancy of oneself range of value is filtered by the way of setting up blacklist storehouse, truly represent the situation that consumer's shopping is evaluated, effectively filter and evaluate, with consumer itself, other information not being inconsistent, authentic and valid.
Accompanying drawing explanation
Fig. 1 is consumer described in embodiment 1 for the evaluation of commodity 1 and strobe utility schematic diagram.
Fig. 2 is consumer described in embodiment 1 for the evaluation of commodity 2 and strobe utility schematic diagram.
Fig. 3 is the evaluation made for commodity 1 and commodity 2 of the consumer described in embodiment 2 and strobe utility schematic diagram.
Fig. 4 is that the consumer on the premise of authentic and valid sales volume of embodying described in embodiment 2 makes the schematic diagram of evaluation.
Detailed description of the invention
The method filtered of evaluating being supplied to below in conjunction with the embodiment of the present invention is described in detail.
A kind of method evaluating filtration that the embodiment of the present invention provides, it is characterised in that comprise the steps: to set up the blacklist storehouse of individual, set point value, the discrepancy of evaluating with oneself is added filtered listings greater than the ID of this value range；In the evaluation total score or evaluation inventory of other commodity or businessman, the ID factor in blacklist is fallen in automatic fitration；Follow the mode can be set it is continuously increased relevant information for making up not enough this method of quantity of information.
Specifically, described value range is not fixing, can constantly arrange and adjust.
Specifically, described blacklist is not fixing, is that constantly accumulation is formed.
Specifically, this method is used for various evaluation methodologys and the basic statistical of sales volume.
Specifically, described follow the mode refers to call the blacklist of the people close with oneself evaluation of estimate, filters.
Embodiment 1:
As it is shown in figure 1, consumer is for the evaluation of commodity 1, sales volume is 6, there are six clients of A, B, C, D, E, Z to buy commodity 1 respectively, provide corresponding scoring simultaneously, therefrom can show that A's is evaluated as 5 stars, B is evaluated as 5 stars, C is evaluated as 3 stars, and D is evaluated as 2 stars, and E is evaluated as 4 stars, Z is evaluated as 3 stars, the average ratings of 6 people is 3.5 stars, sets strobe utility in conjunction with this table, and an above gap of star is the filtercondition of general strobe utility；The half above gap of star is the filtercondition of accurate strobe utility.
Therefore deduce that the blacklist that general filtered listings is drawn is A and B；The blacklist that accurately filtered listings is drawn is D and E.
As shown in Figure 2, under there is no any strobe utility, the sales volume buying commodity 2 has 6, it is made up of ABCDEF, it is 4 stars that overall score i.e. evaluates average, after the filtercondition of general strobe utility, then it is left effective sales volume 4, respectively CDEF, general comment is divided into 3.5 stars, again after the filtercondition of accurate strobe utility, the most remaining effective sales volume is 2, respectively C and F, general comment is divided into 3 stars, after showing the sales volume of the blacklist removing continuous accumulation, the numeral of authentic and valid sales volume, here it is the effect of this method.
Embodiment 2:
As shown in Figure 3, commodity 1 and commodity 2 combine contrast, the sales volume of commodity 1 is 7, evaluation is given including seven people of A, B, C, D, E, F, Z, the strobe utility of commodity 1 and commodity 2 is divided into general filtration and accurately filtration, the condition of general strobe utility is an above gap of star, and the condition of accurate strobe utility is the half above gap of star.
After commodity 1 consumer purchases goods, A is evaluated as 5 stars, B is evaluated as 5 stars, and C is evaluated as 3 stars, and D is evaluated as 2 stars, E is evaluated as 4 stars, F is evaluated as 3 stars, and Z is evaluated as 3 stars, passes through strobe utility, the blacklist then drawn under general strobe utility is A and B, and the blacklist drawn under accurate strobe utility is D and E.
After commodity 2 consumer purchases goods, A is evaluated as 5 stars, C is evaluated as 5 stars, D is evaluated as 5 stars, and F is evaluated as 3 stars, and G is evaluated as 2 stars, Z is evaluated as 2 stars, by strobe utility, then the blacklist drawn under general strobe utility is A, C, D, and the blacklist drawn under accurate strobe utility is F.
Learnt from above, intersect drawn blacklist in conjunction with commodity 1 and commodity 2, the blacklist produced under general strobe utility is A, B, C, D, the blacklist accurately produced under strobe utility is E and F, owing to D is for overlapping, so having been taken in blacklist by general strobe utility, within black list information produced by two kinds of strobe utilities is included into the blacklist of this method.
As shown in Figure 4, under there is no any strobe utility, the sales volume buying commodity 3 has 8, it is made up of ABCDEFGH, it is 4.1 stars that overall score i.e. evaluates average, after the filtercondition of general strobe utility, then being left effective sales volume 4, respectively EFGH, general comment is divided into 3.8 stars, again after the filtercondition of accurate strobe utility, the most remaining effective sales volume is 2, respectively C and H, and general comment is divided into 2.5 stars, after showing the sales volume of the blacklist removing continuous accumulation, the numeral of authentic and valid sales volume.
A kind of method evaluating filtration that the present invention provides, the evaluation of the user excessive with the discrepancy of oneself range of value is filtered by the way of setting up blacklist storehouse, truly represent the situation that consumer's shopping is evaluated, effectively filter and evaluate, with consumer itself, other information not being inconsistent, authentic and valid.
The above; being only the detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, any those familiar with the art is in the technical scope that the invention discloses; change can be readily occurred in or replace, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with scope of the claims.
Claims (5)
1. the method evaluating filtration, it is characterised in that comprise the steps: to set up the blacklist of individual
Storehouse, set point value, the discrepancy of evaluating with oneself is added filtered listings greater than the ID of this value range；At it
In the evaluation total score of its commodity or businessman or evaluation inventory, the work D factor in blacklist is fallen in automatic fitration；For more
Not enough this method of benefit quantity of information can arrange follow the mode and be continuously increased relevant information.
The method evaluating filtration the most according to claim 1, it is characterised in that described value range is not
Fix, can constantly arrange and adjust.
The method evaluating filtration the most according to claim 1, it is characterised in that described blacklist is not
Fix, be that constantly accumulation is formed.
The method evaluating filtration the most according to claim 1, it is characterised in that this method is for various
On the basic statistical of evaluation methodology and sales volume.
The method evaluating filtration the most according to claim 1, it is characterised in that described follow the mode is
Refer to call the blacklist of the people close with oneself evaluation of estimate, filter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510016204.9A CN105894315A (en) | 2015-01-09 | 2015-01-09 | Evaluation filtering method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510016204.9A CN105894315A (en) | 2015-01-09 | 2015-01-09 | Evaluation filtering method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105894315A true CN105894315A (en) | 2016-08-24 |
Family
ID=56999399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510016204.9A Pending CN105894315A (en) | 2015-01-09 | 2015-01-09 | Evaluation filtering method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105894315A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103853948A (en) * | 2012-11-28 | 2014-06-11 | 阿里巴巴集团控股有限公司 | User identity recognizing and information filtering and searching method and server |
| CN103996130A (en) * | 2014-04-29 | 2014-08-20 | 北京京东尚科信息技术有限公司 | Goods evaluation information filtering method and goods evaluation information filtering system |
-
2015
- 2015-01-09 CN CN201510016204.9A patent/CN105894315A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103853948A (en) * | 2012-11-28 | 2014-06-11 | 阿里巴巴集团控股有限公司 | User identity recognizing and information filtering and searching method and server |
| CN103996130A (en) * | 2014-04-29 | 2014-08-20 | 北京京东尚科信息技术有限公司 | Goods evaluation information filtering method and goods evaluation information filtering system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Defrancesco et al. | Would ‘New World’wines benefit from protected geographical indications in international markets? The case of Argentinean Malbec | |
| CN103617540B (en) | E-commerce recommendation method of tracking user interest changes | |
| CN106909607B (en) | A kind of collaborative filtering group recommending method based on random perturbation technology | |
| CN104504055A (en) | Commodity similarity calculation method and commodity recommending system based on image similarity | |
| CN102567899A (en) | Goods recommending method based on geographic information | |
| CN104933604A (en) | Intelligent screening method of supply and demand information | |
| CN107451907A (en) | A kind of e-commerce platform business model | |
| CN108876536A (en) | Collaborative filtering recommending method based on arest neighbors information | |
| Guercini et al. | Sourcing strategies in clothing retail firms: product complexity versus overseas supply chain | |
| CN110209919A (en) | The various dimensions method for decomposing and device of attribution | |
| CN105894315A (en) | Evaluation filtering method | |
| Singer et al. | Are multiple art markets rational? | |
| Byron | As middle class shrinks, P&G aims high and low | |
| CN110020135B (en) | Demand determination method, resource recommendation method and related device | |
| Kumar et al. | Tea industry in India: Problems and prospects | |
| Ehrhard | Protecting the seasonal arts: Fashion design, copyright law, and the viability of the Innovative design protection & piracy prevention act | |
| CN108549729A (en) | Personalized user collaborative filtering recommending method based on Covering reduct | |
| Spaulding | A Clarification on Art and Value | |
| CN112116421A (en) | Method and system for optimizing and recommending commodities in self-built welfare mall | |
| Tripathy et al. | A study on consumer satisfaction of two wheeler bikes | |
| CN104240103A (en) | Membership sales incentive computing method | |
| CN109266038A (en) | Perspiration prevention oil rub resistance Mobile phone film | |
| CN208248753U (en) | A kind of novel smart phone production pallet | |
| CN105894254A (en) | Social recommendation system based on degree distribution and user rating | |
| CN107784535A (en) | Networked shopping system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160824 |
|
| RJ01 | Rejection of invention patent application after publication |