CN108846690A - A kind of commodity evaluation method, system, storage medium and computer equipment - Google Patents

A kind of commodity evaluation method, system, storage medium and computer equipment Download PDF

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Publication number
CN108846690A
CN108846690A CN201810550586.7A CN201810550586A CN108846690A CN 108846690 A CN108846690 A CN 108846690A CN 201810550586 A CN201810550586 A CN 201810550586A CN 108846690 A CN108846690 A CN 108846690A
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commodity
evaluation
current
average ratings
initial evaluation
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张德波
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Zhengzhou Yunhai Information Technology Co Ltd
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Zhengzhou Yunhai Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282Rating or review of business operators or products

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  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
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  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of commodity evaluation method, system, storage medium and computer equipments, can evaluate commodity.The method includes:Using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity;After receiving the newest evaluation to first commodity, the current average ratings of first commodity are calculated on the basis of the initial evaluation of first commodity;When the evaluation of first commodity received is more, the initial evaluation of first commodity specific gravity shared in the current average ratings of the first commodity is smaller.Using the embodiment of the present invention, initial evaluation of the predetermined average ratings with reference to commodity as the first commodity solves the problems, such as that new commodity is since the less caused scoring of client's number is one sided in online shopping mall.

Description

A kind of commodity evaluation method, system, storage medium and computer equipment
Technical field
The present invention relates to field of computer technology, espespecially a kind of commodity evaluation method, system, storage medium and computer are set It is standby.
Background technique
Scoring is function common on internet, such as the commodity scoring of shopping website.The behavior structure to score to consumer At certain directive function, to influence the subsequent market situation of operator.As platform operator, it is necessary to provide a set of visitor See just scoring algorithm.
Relatively common scoring algorithm is directly to be averaged the scoring of user, has a problem to be in this way, just on For the commodity of frame since client's number is seldom, scoring is likely to occur extreme high score or low point, cannot reflect its true quality completely.
Summary of the invention
In order to solve the above-mentioned technical problems, the present invention provides a kind of commodity evaluation method, system, storage medium and calculating Machine equipment.
Method described in the invention is equally applicable to other similar scene.
In order to reach the object of the invention, the embodiment of the invention provides a kind of commodity evaluation methods, including:
Using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity;
After receiving the newest evaluation to first commodity, institute is calculated on the basis of the initial evaluation of first commodity State the current average ratings of the first commodity;When the evaluation of first commodity received is more, first commodity are initially commented Valence specific gravity shared in the current average ratings of the first commodity is smaller.
Further, the predetermined commodity that refer to include:Other all commodity in addition to the first commodity, Huo Zheyu First commodity belong to other of a sort all commodity.
Further, described using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity, packet It includes:
Using the average ratings number with reference to commodity as the initial evaluation number of first commodity, by the reference Initial evaluation score of the mean opinion score of commodity as first commodity.
Further, described that the current flat of first commodity is calculated on the basis of the initial evaluation of first commodity Evaluate, including:
When calculating the current average ratings of first commodity, institute is calculated with the initial evaluation score of first commodity The current gross score for stating the first commodity calculates the current general comment of first commodity with the initial evaluation number of first commodity Valence number calculates the current average mark of first commodity with the current gross score of first commodity and current overall merit number Number is used as current average ratings.
In order to reach the object of the invention, the embodiment of the invention also provides a kind of commodity evaluation systems, including initial evaluation Confirmation unit and Evaluation: Current computing unit, wherein:
The initial evaluation confirmation unit, for using the predetermined average ratings with reference to commodity as the first commodity Initial evaluation;
The Evaluation: Current computing unit, for after receiving the newest evaluation to first commodity, described first The current average ratings of first commodity are calculated on the basis of the initial evaluation of commodity;The evaluation of first commodity received More, the initial evaluation of first commodity specific gravity shared in the current average ratings of the first commodity is smaller.
Further, the Evaluation: Current computing unit is using the average ratings with reference to commodity as the first of the first commodity Begin to evaluate, including:
The Evaluation: Current computing unit is using the average ratings number with reference to commodity as the first of first commodity Beginning evaluation number, using the mean opinion score with reference to commodity as the initial evaluation score of first commodity.
Further, described in the Evaluation: Current computing unit calculates on the basis of the initial evaluation of first commodity The current average ratings of first commodity, including:
The Evaluation: Current computing unit is when calculating the current average ratings of first commodity, with first commodity Initial evaluation score calculate the current gross scores of first commodity, calculate institute with the initial evaluation number of first commodity The current overall merit number for stating the first commodity, described in the current gross score of first commodity and the calculating of current overall merit number The current average mark of first commodity is as current average ratings.
In order to reach the object of the invention, the embodiment of the invention also provides a kind of computer readable storage mediums, deposit thereon The step of containing computer program, the above method realized when which is executed by processor.
In order to reach the object of the invention, the embodiment of the invention also provides a kind of computer equipments, including memory, processing On a memory and the computer program that can run on a processor, when processor execution described program, is realized for device and storage The step of above method.
Compared with prior art, the present invention includes using the predetermined average ratings with reference to commodity as the first commodity Initial evaluation;After receiving the newest evaluation to first commodity, calculated on the basis of the initial evaluation of first commodity The current average ratings of first commodity;When the evaluation of first commodity received is more, first commodity it is initial It is smaller to evaluate shared specific gravity in the current average ratings of the first commodity.The embodiment of the present invention can solve online shopping mall Middle new commodity is due to the less caused one sided problem of scoring of client's number.
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 understand through the implementation of the invention.The objectives and other advantages of the invention can be by specification, right Specifically noted structure is achieved and obtained in claim and attached drawing.
Detailed description of the invention
Attached drawing is used to provide to further understand technical solution of the present invention, and constitutes part of specification, with this The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is the flow chart of the commodity evaluation method of the embodiment of the present invention one;
Fig. 2 is the structural schematic diagram of three commodity evaluation system of the embodiment of the present invention;
Fig. 3 is the structural schematic diagram of three computer equipment of the embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application Feature can mutual any combination.
Step shown in the flowchart of the accompanying drawings can be in a computer system such as a set of computer executable instructions It executes.Also, although logical order is shown in flow charts, and it in some cases, can be to be different from herein suitable Sequence executes shown or described step.
Bayesian statistics infer be British scholar Bayes propose a kind of induction theory, after by some statistics Person's development is a kind of Statistical Inference of system.The embodiment of the present invention is guidance with the basic thought that Bayesian statistics is inferred, In the embodiment of the present invention, it is believed that any one new commodity defaults the average level that its quality is in entire store.In quotient In the case that city commodity are enough, normal distribution is presented in marketing quality.That is a new commodity, quality is less likely significantly high In the average level of existing commodity (referring to commodity), also it is less likely to be substantially less than average level.Therefore by existing commodity Average quality shows the initial quality performance (i.e. initial evaluation) of (such as can be score value) as new commodity, then as commenting The increase of valence client's number is gradually corrected the performance of its quality further according to subsequent evaluation (i.e. the practical manifestations of commodity), can effectively be kept away The unilateral marking of the several clients for exempting from beginning is to injustice active influence caused by commodity.Based on above-mentioned theory premise, following evaluation is provided Method.
Embodiment one
A kind of commodity evaluation method is present embodiments provided, as shown in Figure 1, this method includes S11-S12:
S11, using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity;
S12, after receiving newest evaluation to the first commodity, the first quotient is calculated on the basis of the initial evaluation of the first commodity The current average ratings of product;When the evaluation of the first commodity received is more, the initial evaluation of the first commodity is current in the first commodity Shared specific gravity is smaller in average ratings.
In the embodiment of the present invention, using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity, As the scoring that commodity receive is more and more, the quality score proportion of itself is higher and higher, and true quality is able to completely Show, to solve the problems, such as that new commodity is since the less caused scoring of client's number is one sided in online shopping mall.
In the present embodiment, the predetermined commodity that refer to include:Other all commodity in addition to the first commodity, or Person and the first commodity belong to other of a sort all commodity.
In one alternate embodiment, described using the predetermined average ratings with reference to commodity as the first of the first commodity Begin to evaluate, including:
Using the average ratings number of reference commodity as the initial evaluation number of the first commodity, and putting down reference commodity Equal initial evaluation score of the evaluation score as the first commodity.
Refer to that averagely each how many people with reference to commodity gives a mark with reference to the average ratings number of commodity, with reference to being averaged for commodity Evaluation score refers to the score of averagely each commodity.
It is preferred that with score come embodiment of evaluation, the evaluation score of commodity includes mass fraction and/or service score etc., can be with Using the average value of all various scores as mean opinion score, only mass fraction can also be used as mean opinion score.Such as Fruit Evaluation: Current is word evaluation, word evaluation can be quantified as evaluation score according to keyword and be calculated with facilitating.
In one alternate embodiment, described to calculate the current of the first commodity on the basis of the initial evaluation of the first commodity Average ratings, including:
When calculating the current average ratings of the first commodity, the first commodity are calculated with the initial evaluation score of the first commodity Current gross score calculates the current overall merit number of the first commodity with the initial evaluation number of the first commodity, with the first commodity Current gross score and current overall merit number calculate the current average mark of the first commodity as current average ratings.For example, the The current gross score of one commodity=first commodity initial evaluation score+newly-increased evaluation score, the current overall merit of the first commodity Number=first commodity initial evaluation number+newly-increased evaluation number;The current average mark of first commodity=first commodity The current overall merit number of current gross score/first commodity.It follows that as the actual evaluation of the first commodity is more and more, The initial evaluation of first commodity shared weight (or specific gravity) in the first commodity Evaluation: Current is smaller and smaller.
In the embodiment of the present invention, the basic thought of Bayesian statistics deduction is used for reference, has been evaluated as with the commodity of shopping center Application scenarios propose a kind of new scoring algorithm.Using the predetermined average ratings with reference to commodity as the first of the first commodity Begin to evaluate;After receiving the newest evaluation to first commodity, institute is calculated on the basis of the initial evaluation of first commodity State the current average ratings of the first commodity;When the evaluation of first commodity received is more, first commodity are initially commented Valence specific gravity shared in the current average ratings of the first commodity is smaller, solves in online shopping mall new commodity due to client's number The one sided problem of scoring caused by less makes the commodity of online shopping mall score more objective, improves the appraisement system matter in store Amount promotes user experience.
Embodiment two
The present embodiment is the application example based on embodiment one, in this example using all commodity as referring to commodity into Row explanation.
When a new commodity restocking, scoring change procedure is as follows:
(1) new commodity (the first commodity i.e. in embodiment one) restocking, client's number is 0 at this time;
(2) this new commodity is excluded in all commodity, calculates how many personal marking, i.e. initial evaluation of average each commodity Number (alternatively referred to as priori scoring number), record result are u;
(3) this new commodity is excluded in all commodity, the score for calculating average each commodity is how many, i.e. initial evaluation point Number (alternatively referred to as priori score value), record result are t;
(4) new commodity scoring initialization thinks to have had u people to make score, and the score that everyone gives is t;
(5) after new commodity receives first scoring x, the scoring of the commodity is modified to z1, and calculation formula is:Z1=(u*t +x)/(u+1)
After new commodity receives second scoring y, the scoring of the commodity is modified to z2, and calculation formula is:Z2=(u*t+x+ y)/(u+2)
And so on.
According to algorithm above, the quality of new commodity is approximately equal to the average quality of all commodity in entire store, as commodity are received The scoring arrived is more and more, and the quality score proportion of itself is higher and higher, and true quality is completely showed.
Embodiment three
A kind of commodity evaluation system is present embodiments provided, description is also applied for the present embodiment in above method embodiment In, shown in Fig. 2, which includes initial evaluation confirmation unit 21 and Evaluation: Current computing unit 22, wherein:
Initial evaluation confirmation unit 21, for using the predetermined average ratings with reference to commodity as the first of the first commodity Begin to evaluate;
Evaluation: Current computing unit 22, for after receiving to the newest evaluation of the first commodity, in the initial of the first commodity The current average ratings of the first commodity are calculated on the basis of evaluation;The evaluation of the first commodity received is more, at the beginning of the first commodity Beginning, it is smaller to evaluate shared specific gravity in the current average ratings of the first commodity.
In the present embodiment, the predetermined commodity that refer to include:Other all commodity in addition to the first commodity, or Person and the first commodity belong to other of a sort all commodity.
In one alternate embodiment, the Evaluation: Current computing unit 22 is using the average ratings of reference commodity as first The initial evaluation of commodity, including:
Evaluation: Current computing unit 22 using the average ratings number of reference commodity as the initial evaluation number of the first commodity, Using the mean opinion score of reference commodity as the initial evaluation score of the first commodity.
In one alternate embodiment, the Evaluation: Current computing unit 22 is on the basis of the initial evaluation of the first commodity The current average ratings of the first commodity are calculated, including:
Evaluation: Current computing unit 22 is when calculating the current average ratings of the first commodity, with the initial evaluation of the first commodity Score calculates the current gross score of the first commodity, and the current overall merit of the first commodity is calculated with the initial evaluation number of the first commodity Number uses the current gross score of the first commodity and current overall merit number to calculate the current average mark of the first commodity as currently Average ratings.
The embodiment of the present invention also provides a kind of computer storage medium, and the computer storage medium is stored with computer journey Sequence;After the computer program is performed, the commodity evaluation method of previous embodiment offer can be realized, for example, executing such as Fig. 1 Shown method.
The embodiment of the present invention also provides a kind of computer equipment, can be structure as shown in Figure 3, including processor 31, memory 32 and storage on a memory and the computer program that can run on a processor, processor execution institute Part or Overall Steps in embodiment one or embodiment two can be realized when stating program.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use Embodiment is not intended to limit the invention.Technical staff in any fields of the present invention is taken off not departing from the present invention Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
It will appreciated by the skilled person that whole or certain steps, system, dress in method disclosed hereinabove Functional module/unit in setting may be implemented as software, firmware, hardware and its combination appropriate.In hardware embodiment, Division between the functional module/unit referred in the above description not necessarily corresponds to the division of physical assemblies;For example, one Physical assemblies can have multiple functions or a function or step and can be executed by several physical assemblies cooperations.Certain groups Part or all components may be implemented as by processor, such as the software that digital signal processor or microprocessor execute, or by It is embodied as hardware, or is implemented as integrated circuit, such as specific integrated circuit.Such software can be distributed in computer-readable On medium, computer-readable medium may include computer storage medium (or non-transitory medium) and communication media (or temporarily Property medium).As known to a person of ordinary skill in the art, term computer storage medium is included in for storing information (such as Computer readable instructions, data structure, program module or other data) any method or technique in the volatibility implemented and non- Volatibility, removable and nonremovable medium.Computer storage medium include but is not limited to RAM, ROM, EEPROM, flash memory or its His memory technology, CD-ROM, digital versatile disc (DVD) or other optical disc storages, magnetic holder, tape, disk storage or other Magnetic memory apparatus or any other medium that can be used for storing desired information and can be accessed by a computer.This Outside, known to a person of ordinary skill in the art to be, communication media generally comprises computer readable instructions, data structure, program mould Other data in the modulated data signal of block or such as carrier wave or other transmission mechanisms etc, and may include any information Delivery media.

Claims (10)

1. a kind of commodity evaluation method, which is characterized in that including:
Using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity;
After receiving the newest evaluation to first commodity, described is calculated on the basis of the initial evaluation of first commodity The current average ratings of one commodity;When the evaluation of first commodity received is more, the initial evaluation of first commodity exists Shared specific gravity is smaller in the current average ratings of first commodity.
2. the method according to claim 1, wherein
It is described predetermined to include with reference to commodity:Other all commodity in addition to the first commodity, or with first commodity Belong to other of a sort all commodity.
3. method according to claim 1 or 2, which is characterized in that
It is described using the predetermined average ratings with reference to commodity as the initial evaluation of the first commodity, including:
Using the average ratings number with reference to commodity as the initial evaluation number of first commodity, commodity are referred to by described Initial evaluation score of the mean opinion score as first commodity.
4. according to the method described in claim 3, it is characterized in that,
The current average ratings that first commodity are calculated on the basis of the initial evaluation of first commodity, including:
When calculating the current average ratings of first commodity, described the is calculated with the initial evaluation score of first commodity The current gross score of one commodity calculates the current overall merit people of first commodity with the initial evaluation number of first commodity Number is made with the current average mark that the current gross score of first commodity and current overall merit number calculate first commodity For current average ratings.
5. a kind of commodity evaluation system, which is characterized in that including initial evaluation confirmation unit and Evaluation: Current computing unit, In:
The initial evaluation confirmation unit, for using the predetermined average ratings with reference to commodity as the initial of the first commodity Evaluation;
The Evaluation: Current computing unit, for after receiving the newest evaluation to first commodity, in first commodity Initial evaluation on the basis of calculate the current average ratings of first commodity;The evaluation of first commodity received is got over More, the initial evaluation of first commodity specific gravity shared in the current average ratings of the first commodity is smaller.
6. system according to claim 5, which is characterized in that
It is described predetermined to include with reference to commodity:Other all commodity in addition to the first commodity, or with first commodity Belong to other of a sort all commodity.
7. system according to claim 5 or 6, which is characterized in that
The Evaluation: Current computing unit using the average ratings with reference to commodity as the initial evaluation of the first commodity, including:
The Evaluation: Current computing unit initially commenting using the average ratings number with reference to commodity as first commodity Valence number, using the mean opinion score with reference to commodity as the initial evaluation score of first commodity.
8. system according to claim 7, which is characterized in that
The Evaluation: Current computing unit calculates working as first commodity on the basis of initial evaluation of first commodity Preceding average ratings, including:
The Evaluation: Current computing unit is when calculating the current average ratings of first commodity, at the beginning of first commodity Beginning evaluation score calculates the current gross score of first commodity, calculates described the with the initial evaluation numbers of first commodity The current overall merit number of one commodity calculates described first with the current gross score of first commodity and current overall merit number The current average mark of commodity is as current average ratings.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor The step of any one of claim 1-4 the method is realized when row.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, which is characterized in that the processor realizes any one of claim 1-4 the method when executing described program Step.
CN201810550586.7A 2018-05-31 2018-05-31 A kind of commodity evaluation method, system, storage medium and computer equipment Pending CN108846690A (en)

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Application publication date: 20181120