CN111489207A - Evaluation information writing method and device based on block chain system and hardware equipment - Google Patents
Evaluation information writing method and device based on block chain system and hardware equipment Download PDFInfo
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Abstract
The invention discloses an evaluation information writing method, an evaluation information writing device and hardware equipment based on a block chain system, relates to the technical field of block chains, and is used for ensuring credibility and authenticity of comment information for commodities. The main scheme is as follows: acquiring the evaluation content of the commodity by the user and user identification information from the evaluation information; if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in the user basic information base; inquiring the evaluation content of other users to the commodity in the block chain system; determining whether the evaluation content is false content according to the user basic information, the user evaluation information, the user credit information and/or the evaluation content of other users on the commodity; if the commodity is not false content, comment information of the user for the commodity is sent to the blockchain system, so that the blockchain system creates a new block comprising the comment content, and when the new block is identified, the new block is additionally stored at the tail of the blockchain.
Description
Technical Field
The present invention relates to the field of blockchain technologies, and in particular, to a method, an apparatus, and a hardware device for writing evaluation information based on a blockchain system.
Background
The block chain is a recording technology different from the traditional centralized accounting mode, participates in nodes on the block chain system, possibly does not belong to the same organization and does not need to trust each other; the blockchain data is maintained by all nodes together, and each node participating in maintenance can obtain a copy of the complete record. Compared with the traditional accounting technology, the method has the characteristics that: maintaining a chain which grows continuously, only adding records possibly, and the records which occur cannot be tampered; can achieve the consensus without centralized control.
At present, a large number of malicious comments of users can be printed on sold commodities, false comment contents are put in a large number, and the conditions of competitor ranking and data indexes are influenced; in this case, although the malicious comments can be combated by limiting the credit rating of the user, the effect is still very slight.
Disclosure of Invention
The invention provides an evaluation information writing method, an evaluation information writing device and hardware equipment based on a block chain system, which are used for ensuring credibility and authenticity of comment information aiming at commodities.
The embodiment of the invention provides an evaluation information writing method based on a block chain system, which is applied to an evaluation information verification node in the block chain system and comprises the following steps:
receiving evaluation information sent by a user, and acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
inquiring the evaluation contents of other users to the commodity in the block chain system, wherein the evaluation contents corresponding to different commodities are stored in the block chain system;
determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information of the user and/or the evaluation content of other users on the commodity;
if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the consensus on the new block passes, additionally storing the new block to the tail of the blockchain.
The embodiment of the invention provides an evaluation information writing device based on a block chain system, which is applied to an evaluation information verification node in the block chain system and comprises:
the receiving module is used for receiving evaluation information sent by a user, acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
the acquisition module is used for acquiring the commodity description information of the commodity and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
the query module is used for querying user information corresponding to the user identification information in a user basic information base if the evaluation content in the evaluation information is the evaluation of the commodity, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
the query module is further configured to query evaluation contents of the commodity by other users in the blockchain system, where the evaluation contents respectively corresponding to different commodities are stored in the blockchain system;
the determining module is used for determining whether the evaluation content is false content or not according to the user basic information of the user, user evaluation information, user credit information and/or the evaluation content of other users on the commodity;
and the sending module is used for sending comment information of the user for the commodity to the blockchain system if the evaluation content is not false content, so that the blockchain system creates a new block comprising the comment content, and when the new block passes the consensus, the new block is additionally stored at the tail of the blockchain.
A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the evaluation information writing method based on the blockchain system when executing the computer program.
A computer-readable storage medium that stores a computer program that, when executed by a processor, implements the evaluation information writing apparatus based on the blockchain system described above.
The invention provides an evaluation information writing method, an evaluation information writing device, a computer device and a storage medium based on a block chain system, which are used for receiving evaluation information sent by a user, and acquiring the evaluation content of the user on commodities and user identification information corresponding to the user from the evaluation information; acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information; if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; inquiring the evaluation content of other users to the commodity in the block chain system, and determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information and/or the evaluation content of other users to the commodity; if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the new block is identified, additionally storing the new block to the tail of the blockchain. According to the invention, whether the evaluation content is false content is determined according to the user basic information, the user evaluation information, the user credit information and/or multi-dimensional information such as the evaluation content of other users on the commodity, so that the credibility and the authenticity of the comment information aiming at the commodity can be ensured through the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flowchart of a method for writing evaluation information based on a blockchain system according to an embodiment of the present invention;
FIG. 2 is a flow diagram of determining whether rated content is spurious content in one embodiment of the present invention;
FIG. 3 is a schematic block diagram of an evaluation information writing apparatus based on the blockchain system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment, as shown in fig. 1, there is provided an evaluation information writing method based on a blockchain system, the method being applied to an evaluation information verification node in the blockchain system, and including the following steps:
and S10, receiving the evaluation information sent by the user, and acquiring the evaluation content of the commodity of the user and the user identification information corresponding to the user from the evaluation information.
Wherein the user identification information is used to uniquely identify the user; the evaluation content may be specific to the quality of the product, the service, the after-sales content, and the like, and the embodiment of the present invention is not particularly limited.
And S20, acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information.
The commodity description information may be text description information, picture description information, audio/video description information, and the embodiment of the present invention is not particularly limited. If the commodity description information is picture description information or audio/video description information, description content needs to be extracted from the picture description information and the audio/video description information, and the description content can be specifically realized through an image recognition technology and an audio/video recognition technology. In the embodiment of the invention, the text information or the extracted description content can be specifically matched with the evaluation content in the evaluation information in a text mode, and if the matching rate is greater than a preset value, the evaluation content can be determined to be the evaluation of the commodity; if the matching rate is less than or equal to the preset value, the evaluation content is determined not to be the evaluation of the commodity, and in the actual scene, the evaluation content may be the position where the user comments are wrong or the advertisement written in the comment area, and at this time, the comment content can be calculated as one of the false evaluations and not be calculated as the normal evaluation.
In an embodiment of the present invention, the determining, according to the product description information, whether the evaluation content in the evaluation information is an evaluation of the product includes: extracting key words in the evaluation content; matching the keyword with the commodity description information; and if the keyword matched with the commodity description information exists, determining the evaluation content as the evaluation of the commodity. For example, keywords "clothing a" and "sun protection" are extracted from the evaluation content, and the specific sun protection function of clothing a is introduced in the commodity description information, that is, words matching the evaluation content keyword exist in the commodity description information, and then the evaluation content can be determined as the evaluation of the commodity.
S30, if the evaluation content in the evaluation information is the evaluation of the product, the user information corresponding to the user identification information in the user basic information base is inquired.
The user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively. Specifically, the basic information of the user includes basic information of the user, such as net zero, monthly consumption condition, age, gender and the like; the user evaluation information is evaluation information of all commodities by the user, such as the number of good reviews, the number of bad reviews, the number of medium reviews, the number of non-evaluated commodities and the like; the user information may be a credit rating, and the embodiment of the present invention is not limited specifically.
And S40, inquiring the evaluation content of other users in the block chain system on the commodity.
The block chain system stores evaluation contents corresponding to different commodities respectively. In the embodiment of the present invention, after the user information corresponding to the user identification information is queried, the evaluation content of the commodity by other users needs to be queried in the block chain system, so as to determine whether the evaluation content of the current user is a false content in the subsequent steps based on the evaluation content of the commodity by other users. The evaluation content of the commodity by the other user is the evaluation of the commodity by the other user existing before the current user.
And S50, determining whether the evaluation content is false content according to the user basic information, the user evaluation information, the user credit information and/or the evaluation content of other users to the commodity.
For the embodiment of the invention, whether the evaluation content is false content or not can be determined according to one or more items of the user basic information, the user evaluation information, the user credit information and/or the evaluation content of the commodity of other users. For example, if the user credit rating is too low and the deviation between the evaluation content of the user and the existing evaluation content of most other users is too large, the evaluation content can be determined to be false content; if most of the user evaluation information is bad evaluation and the deviation between the evaluation content of the current user and the evaluation content of most of the other existing users is too large, the evaluation content can be determined to be false content, and the embodiment of the invention is not particularly limited. The false content can be false good comment or malicious bad comment and the like.
As shown in fig. 2, in an embodiment provided by the present invention, the step S50, determining whether the evaluated content is false content according to the user basic information, the user evaluation information, and the user credit information of the user, includes:
s501, carrying out statistical analysis on the user evaluation information to determine the evaluation probability of various evaluation tendencies of the user.
The evaluation can be divided into a plurality of evaluation trends according to requirements, and for example, the evaluation trends specifically may be: good comment, bad comment, medium comment and the like. And determining the good evaluation probability, the bad evaluation probability and the medium evaluation probability of the commodities purchased by the user through the statistical analysis of the user evaluation information.
S502, converting the evaluation content of the user, the basic information of the user, the evaluation probability of various evaluation tendencies of the user and the credit information of the user into a feature vector; and merging the converted feature vectors to obtain a feature vector group.
And S503, inputting the feature vector group into a preset evaluation information identification model to obtain a false probability identification result of the evaluation content of the commodity by the user.
The preset evaluation information identification model is obtained by training according to sample evaluation content, sample user basic information, evaluation probabilities of various evaluation tendencies of sample users and corresponding false probability labels, and is used for determining the false probability of the evaluation content according to an input feature vector group. Specifically, firstly, obtaining sample evaluation content, sample user basic information, evaluation probabilities of various evaluation tendencies of a sample user and corresponding false probabilities, and then respectively converting the sample evaluation content, the sample user basic information, the evaluation probabilities of the various evaluation tendencies of the sample user and the corresponding false probabilities into feature vectors; and merging the converted feature vectors to obtain a feature vector group, and then performing model training according to the feature vector group and the corresponding labels to obtain a preset evaluation information recognition model.
S504, if the false probability identification result of the commodity evaluation content of the user is larger than a first preset value, the evaluation probabilities of various evaluation trends are determined according to the commodity evaluation content of other users.
The first predetermined value may be set according to an actual requirement, for example, the first predetermined value is set to 75%, 80%, 85%, and the like, and the embodiment of the present invention is not limited in particular. In the embodiment of the invention, when the false probability of the evaluation content of the commodity content by the user is determined to reach a certain value, the evaluation of other users on the commodity needs to be checked, and then the evaluation probabilities of various evaluation trends are determined, for example, the probability of good evaluation is determined to be 90%, the probability of medium evaluation is determined to be 7%, and the probability of poor evaluation is determined to be 3%.
S505, determining the evaluation tendency of the user according to the evaluation content of the user; and determining the evaluation probability of the evaluation tendency of the other users to the commodity corresponding to the evaluation tendency of the user.
S506A, if the evaluation probability of the evaluation tendency of the commodity by the other user corresponding to the evaluation tendency of the user is smaller than a second predetermined value, determining that the evaluation content of the commodity by the user is a false evaluation.
The second predetermined value may be set according to an actual requirement, for example, the second predetermined value is set to 5%, 10%, 15%, and the like, and the embodiment of the present invention is not limited specifically. For example, the evaluation tendency of the user is determined to be bad evaluation according to the evaluation content of the user, the false probability identification result of the evaluation content of the commodity by the user is greater than a first preset value, and the evaluation probabilities of various evaluation tendencies of the commodity by other users are as follows: the probability of good evaluation is 90%, the probability of medium evaluation is 7%, and the probability of poor evaluation is 3%, the evaluation probability 3% of the poor evaluation given by the user corresponding to the poor evaluation of the commodity by other users is less than 5% of a second preset value, and the evaluation content of the commodity by the user is determined to be false evaluation.
S506B, if the evaluation probability of the evaluation tendency of the product by the other user corresponding to the evaluation tendency of the user is greater than or equal to a second predetermined value, determines that the evaluation content of the product by the user is a true evaluation.
In contrast to step S506A, if the evaluation probability of the evaluation tendency of the product by another user corresponding to the evaluation tendency of the user is equal to or greater than a second predetermined value, it is determined that the content of the evaluation of the product by the user is a true evaluation. Or if the false probability identification result of the commodity evaluation content of the user is smaller than or equal to a first preset value, determining that the commodity evaluation content of the user is a real evaluation.
In another embodiment provided by the present invention, the determining whether the evaluation content is a false content according to the user basic information of the user, the user evaluation information, the user credit information, and/or the evaluation content of the commodity by other users includes: calculating user basic scores, user evaluation scores and user credit scores corresponding to the user basic information, the user evaluation information and the user credit information of the user respectively; weighting and summing the user basic score, the user evaluation score and the user credit score to obtain a score of the user; if the score of the user is smaller than a third preset numerical value, determining whether the evaluation content of the user on the commodity is completely the same as the evaluation content of other users on the commodity; and if the evaluation content of the commodity by the user is completely the same as the evaluation content of the commodity by other users, determining that the evaluation content of the commodity by the user is false evaluation. The user basic score, the user evaluation score and the user credit score can be set according to actual requirements, and weight values corresponding to the user basic score, the user evaluation score and the user credit score respectively can be set according to actual requirements.
In one embodiment provided by the invention, in order to improve the continuous updating of the identification model and improve the accuracy of updating and identifying the identification model, the embodiment of the invention acquires the false evaluation and the real evaluation of the user according to a preset time interval; and updating and training the preset evaluation information identification model according to the evaluation content, the basic information and various evaluation tendencies of the false evaluation user and the evaluation content, the basic information and various evaluation tendencies of the real evaluation user.
And S60, if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block comprising the comment content, and when the consensus on the new block passes, additionally storing the new block to the tail of the blockchain.
The invention provides an evaluation information writing method based on a block chain system, which comprises the steps of receiving evaluation information sent by a user, and acquiring the evaluation content of the user on a commodity and user identification information corresponding to the user from the evaluation information; acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information; if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; inquiring the evaluation content of other users to the commodity in the block chain system, and determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information and/or the evaluation content of other users to the commodity; if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the new block is identified, additionally storing the new block to the tail of the blockchain. According to the invention, whether the evaluation content is false content is determined according to the user basic information, the user evaluation information, the user credit information and/or multi-dimensional information such as the evaluation content of other users on the commodity, so that the credibility and the authenticity of the comment information aiming at the commodity can be ensured through the invention.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment of the present invention, an evaluation information writing apparatus based on a blockchain system is provided, where the evaluation information writing apparatus based on the blockchain system corresponds to the evaluation information writing method based on the blockchain system in the above embodiments one to one. As shown in fig. 3, the apparatus is applied to an evaluation information verification node in a blockchain system, and the evaluation information writing apparatus based on the blockchain system includes: the device comprises a receiving module 10, an obtaining module 20, a query module 30, a determining module 40 and a sending module 50. The functional modules are explained in detail as follows:
the system comprises a receiving module 10, a processing module and a display module, wherein the receiving module is used for receiving evaluation information sent by a user, and acquiring the evaluation content of the user on a commodity and user identification information corresponding to the user from the evaluation information, and the user identification information is used for uniquely identifying the user;
the acquisition module 20 is configured to acquire the commodity description information of the commodity, and determine whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
the query module 30 is configured to query, if the evaluation content in the evaluation information is the evaluation of the commodity, user information corresponding to the user identification information in a user basic information base, where the user information includes user basic information, user evaluation information, and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
the query module 30 is further configured to query the evaluation contents of the commodity by other users in the blockchain system, where the evaluation contents corresponding to different commodities are stored in the blockchain system;
the determining module 40 is configured to determine whether the evaluation content is false content according to the user basic information of the user, user evaluation information, user credit information, and/or evaluation content of the commodity by other users;
a sending module 50, configured to send comment information of the user for the product to the blockchain system if the evaluation content is not false content, so that the blockchain system creates a new block including the comment content, and when the new block passes the consensus, additionally store the new block to the tail of the blockchain.
Specifically, the determining module 40 includes:
an analysis unit 41, configured to perform statistical analysis on the user evaluation information to determine evaluation probabilities of various evaluation tendencies of the user;
a conversion unit 42, configured to convert the evaluation content of the user, the basic information of the user, the evaluation probabilities of various evaluation tendencies of the user, and the user credit information into feature vectors; merging the converted feature vectors to obtain a feature vector group;
the identification unit 43 is configured to input the feature vector group into a preset evaluation information identification model, so as to obtain a false probability identification result of the evaluation content of the commodity by the user; the preset evaluation information identification model is obtained by training according to the sample evaluation content, the sample user basic information, the evaluation probabilities of various evaluation tendencies of the sample user and the corresponding false probability labels.
The determining module 40 is further configured to determine, if the false probability identification result of the user on the evaluation content of the commodity is greater than a first predetermined value, evaluation probabilities of various evaluation tendencies according to the evaluation contents of the commodity by the other users;
the determining module 40 is further configured to determine the evaluation tendency of the user according to the evaluation content of the user; determining the evaluation probability of the evaluation tendency of the commodity of other users corresponding to the evaluation tendency of the user;
the determining module 40 is further configured to determine that the evaluation content of the commodity by the user is false evaluation if the evaluation probability of the commodity evaluation tendency by other users corresponding to the evaluation tendency of the user is smaller than a second predetermined value;
the determining module 40 is further configured to determine that the evaluation content of the commodity by the user is a true evaluation if the evaluation probability of the evaluation tendency of the commodity by the other user corresponding to the evaluation tendency of the user is greater than or equal to a second predetermined value.
Further, the apparatus further comprises:
the obtaining module 20 is further configured to obtain the false evaluation and the true evaluation of the user according to a preset time interval;
and the updating module 60 is configured to perform updating training on the preset evaluation information identification model according to the evaluation content, the basic user information, and various evaluation tendencies of the false evaluation user, and the evaluation content, the basic user information, and various evaluation tendencies of the real evaluation user.
In an embodiment of the present invention, the determining module 40 is further configured to calculate a user basic score, a user rating score, and a user credit score corresponding to the user basic information, the user rating information, and the user credit information of the user, respectively; weighting and summing the user basic score, the user evaluation score and the user credit score to obtain a score of the user; if the score of the user is smaller than a third preset numerical value, determining whether the evaluation content of the user on the commodity is completely the same as the evaluation content of other users on the commodity; and if the evaluation content of the commodity by the user is completely the same as the evaluation content of the commodity by other users, determining that the evaluation content of the commodity by the user is false evaluation.
In an embodiment of the present invention, the determining module 40 is further configured to extract a keyword from the evaluation content; matching the keyword with the commodity description information; and if the keyword matched with the commodity description information exists, determining the evaluation content as the evaluation of the commodity.
For specific limitations of the evaluation information writing device based on the blockchain system, reference may be made to the above limitations of the evaluation information writing method based on the blockchain system, and details thereof are not repeated herein. The above-mentioned evaluation information writing device based on the blockchain system may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for writing evaluation information based on a blockchain system.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving evaluation information sent by a user, and acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
inquiring the evaluation contents of other users to the commodity in the block chain system, wherein the evaluation contents corresponding to different commodities are stored in the block chain system;
determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information of the user and/or the evaluation content of other users on the commodity;
if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the consensus on the new block passes, additionally storing the new block to the tail of the blockchain.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving evaluation information sent by a user, and acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
inquiring the evaluation contents of other users to the commodity in the block chain system, wherein the evaluation contents corresponding to different commodities are stored in the block chain system;
determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information of the user and/or the evaluation content of other users on the commodity;
if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the consensus on the new block passes, additionally storing the new block to the tail of the blockchain.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An evaluation information writing method based on a blockchain system is applied to an evaluation information verification node in the blockchain system, and the method comprises the following steps:
receiving evaluation information sent by a user, and acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
acquiring commodity description information of the commodity, and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
if the evaluation content in the evaluation information is the evaluation of the commodity, inquiring user information corresponding to the user identification information in a user basic information base, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
inquiring the evaluation contents of other users to the commodity in the block chain system, wherein the evaluation contents corresponding to different commodities are stored in the block chain system;
determining whether the evaluation content is false content or not according to the user basic information, the user evaluation information, the user credit information of the user and/or the evaluation content of other users on the commodity;
if the evaluation content is not false content, sending comment information of the user for the commodity to the blockchain system so that the blockchain system creates a new block including the comment content, and when the consensus on the new block passes, additionally storing the new block to the tail of the blockchain.
2. The method of claim 1, wherein determining whether the evaluation content is false content according to the user basic information, the user evaluation information, and the user credit information of the user comprises:
carrying out statistical analysis on the user evaluation information to determine the evaluation probability of various evaluation tendencies of the user;
converting the evaluation content of the user, the basic information of the user, the evaluation probability of various evaluation tendencies of the user and the credit information of the user into a feature vector; merging the converted feature vectors to obtain a feature vector group;
inputting the characteristic vector group into a preset evaluation information identification model to obtain a false probability identification result of the user on the evaluation content of the commodity; the preset evaluation information identification model is obtained by training according to the sample evaluation content, the sample user basic information, the evaluation probabilities of various evaluation tendencies of the sample user and the corresponding false probability labels.
3. The method of claim 2, wherein after inputting the feature vector group into a preset evaluation information recognition model and obtaining a false probability recognition result of the user on the evaluation content of the commodity, the method further comprises:
if the false probability identification result of the user on the evaluation content of the commodity is larger than a first preset value, determining the evaluation probability of various evaluation trends according to the evaluation content of the commodity by other users;
determining the evaluation tendency of the user according to the evaluation content of the user; determining the evaluation probability of the evaluation tendency of the commodity of other users corresponding to the evaluation tendency of the user;
if the evaluation probability of the evaluation tendency of the commodity by other users corresponding to the evaluation tendency of the user is smaller than a second preset value, determining that the evaluation content of the commodity by the user is false evaluation;
and if the evaluation probability of the evaluation tendency of the commodity by other users corresponding to the evaluation tendency of the user is greater than or equal to a second preset value, determining that the evaluation content of the commodity by the user is a real evaluation.
4. The method according to claim 3, further comprising;
acquiring false evaluation and real evaluation of the user according to a preset time interval;
and updating and training the preset evaluation information identification model according to the evaluation content, the basic information and various evaluation tendencies of the false evaluation user and the evaluation content, the basic information and various evaluation tendencies of the real evaluation user.
5. The method for writing evaluation information based on a blockchain system according to claim 1, wherein the determining whether the evaluation content is a false content according to the user basic information of the user, the user evaluation information, the user credit information, and/or the evaluation content of the commodity by other users comprises:
calculating user basic scores, user evaluation scores and user credit scores corresponding to the user basic information, the user evaluation information and the user credit information of the user respectively;
weighting and summing the user basic score, the user evaluation score and the user credit score to obtain a score of the user;
if the score of the user is smaller than a third preset numerical value, determining whether the evaluation content of the user on the commodity is completely the same as the evaluation content of other users on the commodity;
and if the evaluation content of the commodity by the user is completely the same as the evaluation content of the commodity by other users, determining that the evaluation content of the commodity by the user is false evaluation.
6. The method for writing evaluation information based on a blockchain system according to any one of claims 1 to 5, wherein the determining whether the evaluation content in the evaluation information is an evaluation of the product according to the product description information includes:
extracting key words in the evaluation content; matching the keyword with the commodity description information;
and if the keyword matched with the commodity description information exists, determining the evaluation content as the evaluation of the commodity.
7. An evaluation information writing device based on a blockchain system, the device being applied to an evaluation information verification node in the blockchain system, the device comprising:
the receiving module is used for receiving evaluation information sent by a user, acquiring the evaluation content of the user on the commodity and user identification information corresponding to the user from the evaluation information, wherein the user identification information is used for uniquely identifying the user;
the acquisition module is used for acquiring the commodity description information of the commodity and determining whether the evaluation content in the evaluation information is the evaluation of the commodity according to the commodity description information;
the query module is used for querying user information corresponding to the user identification information in a user basic information base if the evaluation content in the evaluation information is the evaluation of the commodity, wherein the user information comprises user basic information, user evaluation information and user credit information; the user basic information base stores user information corresponding to a plurality of users respectively;
the query module is further configured to query evaluation contents of the commodity by other users in the blockchain system, where the evaluation contents respectively corresponding to different commodities are stored in the blockchain system;
the determining module is used for determining whether the evaluation content is false content or not according to the user basic information of the user, user evaluation information, user credit information and/or the evaluation content of other users on the commodity;
and the sending module is used for sending comment information of the user for the commodity to the blockchain system if the evaluation content is not false content, so that the blockchain system creates a new block comprising the comment content, and when the new block passes the consensus, the new block is additionally stored at the tail of the blockchain.
8. The apparatus of claim 7, wherein the determining module comprises:
the analysis unit is used for carrying out statistical analysis on the user evaluation information to determine the evaluation probability of various evaluation tendencies of the user;
a conversion unit, configured to convert the user evaluation content, the user basic information, the evaluation probabilities of various evaluation tendencies of the user, and the user credit information into feature vectors; merging the converted feature vectors to obtain a feature vector group;
the identification unit is used for inputting the characteristic vector group into a preset evaluation information identification model to obtain a false probability identification result of the user on the evaluation content of the commodity; the preset evaluation information identification model is obtained by training according to the sample evaluation content, the sample user basic information, the evaluation probabilities of various evaluation tendencies of the sample user and the corresponding false probability labels.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the evaluation information writing method based on the blockchain system according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the evaluation information writing method based on the blockchain system according to any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112332994A (en) * | 2020-11-04 | 2021-02-05 | 中国联合网络通信集团有限公司 | False information identification method, false information identification system, computer equipment and storage medium |
| CN113807893A (en) * | 2021-09-17 | 2021-12-17 | 上海万向区块链股份公司 | Intelligent commodity evaluation method and system based on block chain technology |
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2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112332994A (en) * | 2020-11-04 | 2021-02-05 | 中国联合网络通信集团有限公司 | False information identification method, false information identification system, computer equipment and storage medium |
| CN112332994B (en) * | 2020-11-04 | 2022-07-29 | 中国联合网络通信集团有限公司 | False information identification method, false information identification system, computer equipment and storage medium |
| CN113807893A (en) * | 2021-09-17 | 2021-12-17 | 上海万向区块链股份公司 | Intelligent commodity evaluation method and system based on block chain technology |
| CN113807893B (en) * | 2021-09-17 | 2024-02-09 | 上海万向区块链股份公司 | Block chain technology-based commodity intelligent evaluation method and system |
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