CN112333215A - Commodity recommendation method based on block chain system, storage medium and electronic equipment - Google Patents
Commodity recommendation method based on block chain system, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention relates to a commodity recommendation method, a storage medium and an electronic device based on a block chain system, wherein the method comprises the following steps: acquiring physiological characteristic information of a user, and analyzing the physiological characteristic information of the user to acquire human characteristic information of the user and emotional characteristic information of the user; coding according to the human body characteristic information of the user to recover the private key of the user, and acquiring a corresponding address according to the private key of the user; signing and packaging emotional characteristic information of the user according to a private key of the user to generate a signature task packet, sending the signature task packet and the corresponding address to the block chain system so that the block chain system can query a pre-stored address-public key table according to the corresponding address to obtain a public key of the user, analyzing the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generating commodity recommendation information according to the emotional characteristic information of the user. Therefore, the accuracy and the safety of commodity recommendation can be effectively improved.
Description
Technical Field
The present invention relates to the field of network technologies, and in particular, to a commodity recommendation method based on a blockchain system, a computer-readable storage medium, and an electronic device.
Background
With the continuous improvement of e-commerce environment, online shopping is more and more favored by users as a new shopping mode, but with the continuous increase of the types and the number of online commodities, the users often spend a lot of time to find suitable commodities during shopping, so a mode is needed to recommend commodities to the users so as to reduce the time spent by the users to find suitable commodities.
In the related art, when recommending a product, the product is recommended mainly based on historical purchase data, historical browsing data, or the like of a user, but this method is low in both accuracy and safety.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and shortcomings of the prior art, the present invention provides a commodity recommendation method, a storage medium and an electronic device based on a blockchain system, which solve the technical problems of low accuracy and low security of the conventional commodity recommendation method.
(II) technical scheme
In order to achieve the purpose, the invention adopts the main technical scheme that:
in a first aspect, an embodiment of the present invention provides a commodity recommendation method based on a blockchain system, including the following steps: acquiring physiological characteristic information of a user, and analyzing the physiological characteristic information of the user to acquire human characteristic information of the user and emotional characteristic information of the user; coding according to the human body characteristic information of the user to recover the private key of the user, and acquiring a corresponding address according to the private key of the user; signing and packaging emotional characteristic information of the user according to a private key of the user to generate a signature task packet, sending the signature task packet and the corresponding address to the block chain system so that the block chain system can query a pre-stored address-public key table according to the corresponding address to obtain a public key of the user, analyzing the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generating commodity recommendation information according to the emotional characteristic information of the user.
The commodity recommendation method based on the block chain system provided by the embodiment of the invention obtains the physiological characteristic information of the user, and analyzes the physiological characteristic information of the user to obtain the human characteristic information of the user and the emotional characteristic information of the user, and according to the human body characteristic information of the user, carrying out coding processing to recover the private key of the user, and according to the private key of the user, obtaining a corresponding address, signing and packaging emotional characteristic information of the user according to a private key of the user to generate a signing task packet, sending the signing task packet and a corresponding address to the block chain system, so that the blockchain system queries the pre-stored address-public key table according to the corresponding address to obtain the public key of the user, and analyzing the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generating commodity recommendation information according to the emotional characteristic information of the user. The private key of the user is obtained based on the human body characteristic information recovery of the user, so that the user does not need to memorize the private key and store the private key, and meanwhile, in data transmission, the private key is used for encrypting the transmission data, so that the privacy of the user is protected, the safety is high, and meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, and the commodity recommendation accuracy can be effectively improved.
Optionally, the method for recommending goods based on the blockchain system further includes: and receiving the encrypted data packet sent by the blockchain system, decrypting the encrypted data packet according to a private key of a user to obtain commodity recommendation information, and responding to the commodity recommendation information, wherein the blockchain system encrypts the commodity recommendation information according to a public key of the user to generate the encrypted data packet, and sends the encrypted data packet according to a corresponding address.
Optionally, the physiological characteristic information of the user includes sound information of the user, where analyzing the physiological characteristic information of the user to obtain human characteristic information of the user and emotional characteristic information of the user includes: analyzing the voice information of the user to obtain the voiceprint information and the character information of the user, and taking the voiceprint information of the user as the human body characteristic information of the user; and performing semantic analysis on the character information to determine whether an analysis result related to the emotion of the user is obtained or not, and generating emotion feature information of the user according to the analysis result related to the emotion of the user when the analysis result related to the emotion of the user is obtained.
Optionally, the emotional characteristic information of the user includes disappointment, surprise, anger, confusion, and peace.
Optionally, the audio amplitude is further obtained when the sound information of the user is analyzed, the emotional depth of the user is determined according to the audio amplitude, and the emotional characteristic information of the user is labeled according to the emotional depth of the user.
Optionally, the physiological characteristic information of the user includes brain wave information of the user, wherein the analyzing the physiological characteristic information of the user to obtain human characteristic information of the user and emotional characteristic information of the user includes: analyzing the brain wave information of the user to obtain a biological characteristic modality of the user and a brain wave spectrum of the user; the method comprises the steps of obtaining human body feature information of a user according to a biological feature modality of the user, and obtaining emotion feature information of the user according to a brain wave spectrum of the user.
Optionally, the emotional characteristic information of the user includes positive, neutral, and negative.
Optionally, when the new user registers in the blockchain system, the human body characteristic information of the new user is acquired, encoding processing is performed according to the human body characteristic information of the new user to acquire a public key and an address of the new user, and the public key and the address of the new user are sent to the blockchain system, so that the blockchain system stores the public key and the address of the new user in the address-public key table.
In a second aspect, an embodiment of the present invention provides a computer-readable storage medium, on which an article recommendation program based on a blockchain system is stored, and when executed by a processor, the article recommendation program implements the article recommendation method based on the blockchain system.
According to the computer-readable storage medium provided by the embodiment of the invention, by the commodity recommendation method based on the block chain system, the private key of the user is recovered and obtained based on the human body characteristic information of the user, so that the user does not need to memorize the private key and store the private key, and meanwhile, in data transmission, the private key is used for encrypting the transmission data, so that the privacy and the safety of the user are protected, and meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, so that the commodity recommendation accuracy can be effectively improved.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a product recommendation program based on a blockchain system, where the product recommendation program is stored in the memory and is executable on the processor, and when the processor executes the product recommendation program, the method for recommending a product based on a blockchain system is implemented.
According to the electronic equipment provided by the embodiment of the invention, by the commodity recommendation method based on the block chain system, the private key of the user is recovered and obtained based on the human body characteristic information of the user, so that the user does not need to memorize the private key and store the private key, meanwhile, in the data transmission process, the private key is used for encrypting the transmission data, the privacy and the safety of the user are protected, meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, and the commodity recommendation accuracy can be effectively improved.
(III) advantageous effects
The invention has the beneficial effects that: according to the commodity recommendation method based on the block chain system, the storage medium and the electronic device, the private key of the user is obtained by recovering the human body characteristic information based on the user, so that compared with the prior art, the private key does not need to be memorized by the user and stored, meanwhile, in data transmission, the private key is used for encrypting the transmission data, the privacy and the safety of the user are protected, meanwhile, the commodity recommendation information is generated based on the emotion characteristic information of the user, compared with the prior art, the commodity recommendation method based on the block chain system has higher commodity recommendation accuracy, and the technical effect of accurate and safe commodity recommendation is achieved.
Drawings
FIG. 1 is a flowchart of a method for recommending merchandise based on a blockchain system according to an embodiment of the invention;
fig. 2 is an internal structural view of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
The commodity recommendation method, the storage medium and the electronic device based on the block chain system provided by the embodiment of the invention acquire the physiological characteristic information of the user, and analyzes the physiological characteristic information of the user to obtain the human characteristic information of the user and the emotional characteristic information of the user, and according to the human body characteristic information of the user, carrying out coding processing to recover the private key of the user, and according to the private key of the user, obtaining a corresponding address, signing and packaging emotional characteristic information of the user according to a private key of the user to generate a signing task packet, sending the signing task packet and a corresponding address to the block chain system, so that the blockchain system queries the pre-stored address-public key table according to the corresponding address to obtain the public key of the user, and analyzing the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generating commodity recommendation information according to the emotional characteristic information of the user. The private key of the user is obtained based on the human body characteristic information recovery of the user, so that the user does not need to memorize the private key and store the private key, and meanwhile, in data transmission, the private key is used for encrypting the transmission data, so that the privacy of the user is protected, the safety is high, and meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, and the commodity recommendation accuracy can be effectively improved.
In order to better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 is a flowchart of a block chain system-based product recommendation method according to an embodiment of the present invention, and as shown in fig. 1, the block chain system-based product recommendation method includes the following steps:
step S102, acquiring physiological characteristic information of a user, and analyzing the physiological characteristic information of the user to acquire human body characteristic information of the user and emotion characteristic information of the user.
Specifically, when a user carries out online shopping, the user can browse commodities through a shopping website or a shopping APP and the like, in the process, a shopping system acquires physiological characteristic information of the user, such as sound information, brain wave information, face information and the like of the user, analyzes the physiological characteristic information of the user to acquire human characteristic information of the user, such as voiceprint information, a biological characteristic modality corresponding to brain waves, a biological characteristic modality corresponding to a face and the like, and emotional characteristic information of the user, such as disappointment, surprise, peace, positive, negative and the like, and further carries out commodity recommendation according to the human characteristic information and the emotional characteristic information.
In one embodiment, the physiological characteristic information of the user includes voice information of the user, wherein the analyzing the physiological characteristic information of the user to obtain human characteristic information of the user and emotional characteristic information of the user includes: analyzing the voice information of the user to obtain the voiceprint information and the character information of the user, and taking the voiceprint information of the user as the human body characteristic information of the user; and performing semantic analysis on the character information to determine whether an analysis result related to the emotion of the user is obtained or not, and generating emotion feature information of the user according to the analysis result related to the emotion of the user when the analysis result related to the emotion of the user is obtained. Alternatively, the emotional characteristic information of the user may include disappointment, surprise, anger, confusion, and peace.
Specifically, when the user browses the goods through a terminal device such as a shopping website or a shopping network APP in a mobile phone, the shopping system may receive the sound information sent by the user in the process through a microphone of the terminal device such as the mobile phone in real time, for example, when the user sees a favorite good, the user may send sound information similar to "this is good". After the shopping system obtains the sound information, the sound information is analyzed to obtain the voiceprint information of the user, the voiceprint information is used as the human body characteristic information of the user to be encrypted (detailed later), meanwhile, the text information 'this one is good' in the sound information is obtained, semantic analysis is carried out on the text information to determine whether the text information has the content related to the emotion of the user, if yes, the situation characteristic information of the user is generated according to the content to carry out related commodity recommendation, the situation characteristic information of the user is the content related to the emotion of the user, the emotion characteristic information of the user can be determined to be surprise according to the content, and at the moment, the shopping system can recommend the commodities similar to the commodities seen by the current user. When the user is in disappointment, anger, confusion or the like, the shopping system may recommend commodities that are not similar to the commodities seen by the current user, and when the user is in peaceful emotion, the shopping system may select to recommend both commodities that are similar to the commodities seen by the current user and commodities that are not similar to the commodities seen by the current user, with a high proportion of the former.
In the example, the voice information of the user is acquired and analyzed to acquire the voiceprint information and the text information of the user, so that the human body characteristic information of the user is acquired according to the voiceprint information for encryption, and meanwhile, the emotion characteristic information of the user is acquired according to the text information for commodity recommendation, so that the accuracy of commodity recommendation can be effectively improved, the personalized service quality is improved, and the commodity click rate is maximized. Compared with a mode of recommending commodities based on historical data, the mode does not need to collect historical purchase data or historical browsing data of the user in advance, and carries out statistical analysis on the historical purchase data or the historical browsing data to obtain the preference of the user, so that the processes of data collection and statistical analysis are omitted, and the occupation of storage resources and computing resources is reduced; meanwhile, the method does not rely on historical data, so that the method has higher accuracy compared with the case that no historical data or less historical data exists; meanwhile, the method can reduce the problem that the commodity recommendation has deviation due to the fact that noise data possibly exists in the historical browsing data, if a user likes a certain commodity but cannot consume the commodity, the actual emotion of the user is disappointed at the moment, the recommendation of similar commodities is not carried out under normal conditions, but the user browses the commodity, the recommendation of the similar commodities is carried out based on the historical browsing data, the commodity recommendation is carried out based on the emotional characteristic information, and the recommendation result accords with the current emotion of the user due to the fact that the user is actually in the disappointed emotion, so that the deviation of the commodity recommendation due to the fact that the noise data possibly exists in the historical browsing data can be reduced. In addition, the method is based on the voice information of the user to recommend the commodity, the volume of hardware equipment such as a microphone can be small, so that the volume occupation is small, the design of the terminal equipment is facilitated, and most of the current terminal equipment is provided with the voice input equipment such as the microphone, so that the hardware equipment does not need to be adjusted during the design, and the product development period is shortened.
Optionally, the audio amplitude is further obtained when the sound information of the user is analyzed, the emotional depth of the user is determined according to the audio amplitude, and the emotional characteristic information of the user is labeled according to the emotional depth of the user.
In particular, when the user is in different emotional states, the energy of the emitted sound information is different, i.e. the audio amplitudes are different, e.g. the energy of the audio message when the user is angry is higher than the energy of the audio message when the user is peaceful, the corresponding audio amplitude when the user is angry is higher than the audio amplitude when the user is peaceful, or e.g. the energy of the audio message when the user is extremely angry is higher than the energy of the audio message when the user is generally angry, the corresponding audio amplitude when the user is extremely angry is higher than the audio amplitude when the user is generally angry, therefore, when the sound information of the user is obtained and analyzed, the audio amplitude is also obtained, determining the emotion depth of the user according to the audio amplitude, marking the emotion characteristic information of the user according to the emotion depth, namely, the emotion degree of the user is determined, and then commodity recommendation is carried out according to the emotion and the emotion degree. For example, when the user sees a very favorite product, the user is likely to send sound information like "this one x is good", and the more favorite the user is, the more excited the emotion is when sending the sound information, the more the energy of the sound information is, the larger the corresponding audio amplitude is, so that it can be further determined from the audio amplitude how much the user likes the current product, whether it is a general favorite, a medium favorite, or a very favorite, if it is a general favorite, a small number of products similar to the product are recommended, and if it is a very favorite, a large number of products similar to the product are recommended.
In the example, the emotion degree of the user is further determined by obtaining the audio amplitude of the sound information, and then commodity recommendation is performed according to the emotion degree, so that the commodity recommendation can be more accurate and more consistent with the user expectation.
In another embodiment, the physiological characteristic information of the user includes brain wave information of the user, wherein the parsing of the physiological characteristic information of the user to obtain the human characteristic information of the user and the emotional characteristic information of the user includes: analyzing the brain wave information of the user to obtain a biological characteristic modality of the user and a brain wave spectrum of the user; the method comprises the steps of obtaining human body feature information of a user according to a biological feature modality of the user, and obtaining emotion feature information of the user according to a brain wave spectrum of the user. Alternatively, the emotional characteristic information of the user may include positive, neutral, and negative.
Specifically, when the user browses the commodities through a terminal device such as a shopping website or a shopping network APP in a mobile phone, the shopping system can collect the brain wave information of the user through the brain wave collecting device, for example, the brain wave collecting device may be a wearable device having a brain wave collecting sensor, when the user browses the commodities, the wearable device is worn on the brain of the user, the acquisition end of the brain wave acquisition sensor is close to the brain, in the process of browsing the commodity by the user, the commodity information is converted into brain signals in the thinking environment through some media, the user understands and memorizes the commodity information through cognitive processing and generates psychological activities, meanwhile, the brain wave of the user can generate a series of changes based on the psychological activities and emotional reactions of the user, and in the process, the brain wave collecting equipment collects the brain wave information of the user. Then, the shopping system analyzes the brain wave information to obtain a biological characteristic modality of the user, obtains human body characteristic information of the user according to the biological characteristic modality of the user to perform encryption processing (detailed later), obtains a brain wave spectrum of the user at the same time, and obtains emotional characteristic information of the user according to the brain wave spectrum of the user to perform commodity recommendation. For example, when a user sees a favorite commodity, the brain wave spectrum of the user is A, and the emotion of the user can be determined to be positive according to the spectrum, and a shopping system can recommend a large number of commodities similar to the commodity; if the user sees a very annoying item, the user's brain wave spectrum is B, from which it can be determined that the user's mood is negative, and the shopping system can recommend items that are not close to the item. When the brain wave spectrum of the user is C, the emotion of the user can be determined to be neutral according to the spectrum, and the commodity similar to the commodity seen by the current user or the commodity not similar to the commodity seen by the current user can be recommended and the proportion of the commodity is high.
In the example, the brain wave information of the user is acquired and analyzed to acquire the biological characteristic modality of the user and the brain wave spectrum of the user, so that the human body characteristic information of the user is acquired according to the biological characteristic modality for encryption processing, and meanwhile, the emotional characteristic information of the user is acquired according to the brain wave spectrum for commodity recommendation, so that the accuracy of commodity recommendation can be effectively improved, the personalized service quality is improved, and the commodity click rate is maximized. Compared with a mode of recommending commodities based on historical data, the mode does not need to collect historical purchase data or historical browsing data of the user in advance, and carries out statistical analysis on the historical purchase data or the historical browsing data to obtain the preference of the user, so that the processes of data collection and statistical analysis are omitted, and the occupation of storage resources and computing resources is reduced; meanwhile, the method does not rely on historical data, so that the method has higher accuracy compared with the case that no historical data or less historical data exists; meanwhile, the method can reduce the problem that the commodity recommendation has deviation due to the fact that noise data possibly exists in the historical browsing data, for example, if a user likes a certain commodity but cannot consume the commodity, the actual emotion of the user is negative, the recommendation of similar commodities is not carried out under normal conditions, but the user browses the commodity, the recommendation of similar commodities is carried out based on the historical browsing data, the commodity recommendation is carried out based on the emotional characteristic information, the recommendation result accords with the current emotion of the user due to the fact that the user is actually in the negative emotion, and the deviation of the commodity recommendation due to the fact that the noise data possibly exists in the historical browsing data can be reduced. In addition, the method is to recommend the commodity based on the brain wave information of the user, can directly reflect the real emotion of the user, has high accuracy, and is not limited by physiological characteristics, such as being suitable for the user with physiological defects (such as aphonia).
And step S104, carrying out coding processing according to the human body characteristic information of the user to recover the private key of the user, and acquiring a corresponding address according to the private key of the user.
Specifically, after the shopping system obtains the human body characteristic information of the user, the shopping system can utilize a characteristic coding technology to code the human body characteristic information of the user so as to recover a private key of the user, and the private key has uniqueness. Then, a corresponding public key and an address are obtained according to a private key of the user, for example, the private key can be processed by using a traditional asymmetric encryption algorithm to obtain the public key and the corresponding address of the user, optionally, the private key can be processed by using an SECP algorithm to generate the public key, then, an address version number of one byte is connected to the head of the public key hash, two SHA operations are performed on the public key hash, a preset byte in the front of an operation result is used as a check value of the public key hash and is connected to the tail, and finally, the BASE is used for encoding to obtain the corresponding address.
In this example, since the private key of the user is obtained by encoding and recovering based on the human body feature information of the user, the user does not need to memorize the private key or store the private key, and the privacy of the user can be protected, so that the security is high.
And step S106, signing and packaging the emotional characteristic information of the user according to the private key of the user to generate a signature task packet, sending the signature task packet and the corresponding address to the block chain system so that the block chain system can query a pre-stored address-public key table according to the corresponding address to obtain a public key of the user, analyzing the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generating commodity recommendation information according to the emotional characteristic information of the user.
Specifically, after the shopping system obtains a private key and an address of a user, the private key is used for signing and packaging emotional characteristic information of the user to generate a signature task packet, then the signature task packet and the corresponding address are sent to the block chain system, the block chain system searches a pre-stored address-public key table according to the address to obtain a public key corresponding to the address, the public key is used for decrypting the signature task packet to obtain the emotional characteristic information of the user, and then commodity recommendation information is generated according to the emotional characteristic information to recommend commodities, for example, information of similar commodities to commodities liked by the current user is generated and recommended to the user, so that the user can quickly obtain expected commodities based on the recommended commodity information.
In the example, when the emotional characteristic information of the user is sent to the blockchain system for commodity recommendation, the blockchain system has the characteristic of being incapable of being forged and the like, so that the safety of commodity recommendation can be guaranteed, and meanwhile, when data transmission is carried out, the emotional characteristic information is encrypted and decrypted by using the private key, the public key and the corresponding address, so that the privacy safety of the user during data transmission is guaranteed, the privacy of the user is prevented from being illegally stolen, and the safety is high.
In one embodiment, when a new user registers in the blockchain system, the human body characteristic information of the new user is obtained, encoding processing is carried out according to the human body characteristic information of the new user to obtain a public key and an address of the new user, and the public key and the address of the new user are sent to the blockchain system, so that the blockchain system stores the public key and the address of the new user into the address-public key table.
Specifically, before commodity recommendation is performed by using a block chain system, application registration of an account address is performed, when registration is performed, for a new user, human body feature information of the new user can be obtained first, coding processing is performed according to the human body feature information of the new user to obtain a private key of the new user, then the private key of the user is processed by using an asymmetric encryption algorithm to obtain a public key and a corresponding address of the user, signature processing is performed on the corresponding address by using the private key, then the signature and the public key are sent to the block chain system, the block chain system decrypts the signature by using the public key to obtain the corresponding address, and the address and the public key are stored in an address-public key table correspondingly.
It should be noted that, for an old user, the address may be modified, at this time, the human body feature information of the old user may be obtained first, and the encoding process is performed according to the human body feature information of the old user to recover the private key of the old user, then the private key of the user is processed by using the asymmetric encryption algorithm to obtain a new public key of the user and a corresponding new address, and the new address is signed by using the private key, and then the signature and the new public key are sent to the block chain system, and the block chain system decrypts the signature by using the new public key to obtain the new address, and updates the address and the public key in the address-public key table by using the new address and the new public key, for example, the update may be performed at intervals or when the number of times of using the public key and the address reaches a certain number of times.
In the example, in the user registration stage, the private key and the public key are used for encrypting and decrypting the corresponding address, so that the privacy security of the user in the user registration process is ensured, the privacy of the user in the user registration process is prevented from being illegally stolen, and the higher security is realized. Meanwhile, the public key and the address can be updated, and the security of the user privacy is improved.
In one embodiment, the method for recommending goods based on the blockchain system further includes: and receiving the encrypted data packet sent by the blockchain system, decrypting the encrypted data packet according to a private key of a user to obtain commodity recommendation information, and responding to the commodity recommendation information, wherein the blockchain system encrypts the commodity recommendation information according to a public key of the user to generate the encrypted data packet, and sends the encrypted data packet according to a corresponding address.
Specifically, after the block chain system generates the commodity recommendation information, the public key of the user is used for encrypting the commodity recommendation information to generate an encrypted data packet, and the encrypted data packet is sent to the account address of the user corresponding to the shopping system according to the corresponding address. After receiving the encrypted data packet, the shopping system decrypts the encrypted data packet by using the private key of the user to obtain the commodity recommendation information, and responds to the commodity recommendation information, such as checking the commodity recommendation information.
In the example, when the block chain system generates the commodity recommendation information according to the emotional characteristic information of the user and feeds the commodity recommendation information back to the shopping system, the private key, the public key and the corresponding address are used for encrypting and decrypting the commodity recommendation information, so that the privacy safety of the user during data transmission is ensured, the privacy of the user is prevented from being illegally stolen, and the block chain system has high safety.
In summary, according to the commodity recommendation method based on the block chain system provided by the embodiment of the invention, the private key of the user is obtained based on the human body characteristic information recovery of the user, so that the user does not need to memorize the private key and store the private key, and meanwhile, in the data transmission process, the private key is used for encrypting the transmission data, so that the privacy and the safety of the user are protected, and meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, so that the commodity recommendation accuracy can be effectively improved.
An embodiment of the present invention further provides a computer-readable storage medium, on which an article recommendation program based on a blockchain system is stored, and when executed by a processor, the article recommendation program implements the article recommendation method based on the blockchain system.
According to the computer-readable storage medium provided by the embodiment of the invention, by the commodity recommendation method based on the block chain system, the private key of the user is recovered and obtained based on the human body characteristic information of the user, so that the user does not need to memorize the private key and store the private key, and meanwhile, in data transmission, the private key is used for encrypting the transmission data, so that the privacy and the safety of the user are protected, and meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, so that the commodity recommendation accuracy can be effectively improved.
The embodiment of the invention also provides an electronic device, which comprises a memory, a processor and a commodity recommendation program which is stored in the memory and can run on the processor and based on the block chain system, wherein when the processor executes the commodity recommendation program, the commodity recommendation method based on the block chain system is realized.
Specifically, the electronic device may be a terminal, and its internal structure diagram may be as shown in fig. 2. The electronic device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. 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 electronic device is used for communicating with the blockchain system through a network connection. The computer program is executed by a processor to implement a commodity recommendation method based on a blockchain system. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the electronic equipment, an external keyboard, a touch pad or a mouse and the like.
According to the electronic equipment provided by the embodiment of the invention, by the commodity recommendation method based on the block chain system, the private key of the user is recovered and obtained based on the human body characteristic information of the user, so that the user does not need to memorize the private key and store the private key, meanwhile, in the data transmission process, the private key is used for encrypting the transmission data, the privacy and the safety of the user are protected, meanwhile, the commodity recommendation information is generated based on the emotional characteristic information of the user, and the commodity recommendation accuracy can be effectively improved.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium; either as communication within the two elements or as an interactive relationship of the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, a first feature may be "on" or "under" a second feature, and the first and second features may be in direct contact, or the first and second features may be in indirect contact via an intermediate. Also, a first feature "on," "above," and "over" a second feature may be directly or obliquely above the second feature, or simply mean that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the second feature, or may simply mean that the first feature is at a lower level than the second feature.
In the description herein, the description of the terms "one embodiment," "some embodiments," "an embodiment," "an example," "a specific example" or "some examples" or the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are illustrative and not restrictive, and that those skilled in the art may make changes, modifications, substitutions and alterations to the above embodiments without departing from the scope of the present invention.
Claims (10)
1. A commodity recommendation method based on a block chain system is characterized by comprising the following steps:
acquiring physiological characteristic information of a user, and analyzing the physiological characteristic information of the user to acquire human characteristic information of the user and emotional characteristic information of the user;
coding according to the human body characteristic information of the user to recover the private key of the user, and acquiring a corresponding address according to the private key of the user;
signing and packaging the emotional characteristic information of the user according to the private key of the user to generate a signature task packet, sending the signature task packet and the corresponding address to a block chain system, so that the block chain system can query a pre-stored address-public key table according to the corresponding address to obtain a public key of the user, analyze the signature task packet according to the public key of the user to obtain the emotional characteristic information of the user, and generate commodity recommendation information according to the emotional characteristic information of the user.
2. The method of claim 1, further comprising:
and receiving an encrypted data packet sent by the blockchain system, decrypting the encrypted data packet according to a private key of the user to obtain the commodity recommendation information, and responding to the commodity recommendation information, wherein the blockchain system encrypts the commodity recommendation information according to a public key of the user to generate the encrypted data packet, and sends the encrypted data packet according to the corresponding address.
3. The method as claimed in claim 1, wherein the physiological characteristic information of the user comprises voice information of the user, and wherein the analyzing the physiological characteristic information of the user to obtain the human characteristic information of the user and the emotional characteristic information of the user comprises:
analyzing the voice information of the user to obtain voiceprint information and character information of the user, and taking the voiceprint information of the user as human body characteristic information of the user;
and performing semantic analysis on the text information to determine whether an analysis result related to the emotion of the user is obtained or not, and generating emotion feature information of the user according to the analysis result related to the emotion of the user when the analysis result related to the emotion of the user is obtained.
4. The commodity recommendation method based on the blockchain system of claim 3, wherein the emotional characteristic information of the user includes disappointment, surprise, anger, confusion, and peace.
5. The method as claimed in claim 4, wherein an audio amplitude is obtained during the parsing of the user's voice information, and the emotional tone of the user is determined according to the audio amplitude, and the emotional characteristic information of the user is labeled according to the emotional tone of the user.
6. The commodity recommendation method based on the block chain system according to claim 1, wherein the physiological characteristic information of the user comprises brain wave information of the user, wherein analyzing the physiological characteristic information of the user to obtain the human characteristic information of the user and the emotional characteristic information of the user comprises:
analyzing the brain wave information of the user to obtain a biological characteristic modality of the user and a brain wave spectrum of the user;
and acquiring human body characteristic information of the user according to the biological characteristic modality of the user, and acquiring emotional characteristic information of the user according to the brain wave spectrum of the user.
7. The block chain system-based item recommendation method of claim 6, wherein the emotional characteristic information of the user comprises positive, neutral and negative.
8. A commodity recommendation method based on blockchain system as claimed in any one of claims 1 to 7, wherein when a new user registers in the blockchain system, the body characteristic information of the new user is obtained, and the encoding process is performed according to the body characteristic information of the new user to obtain the public key and the address of the new user, and the public key and the address of the new user are sent to the blockchain system, so that the blockchain system can store the public key and the address of the new user in the address-public key table.
9. A computer-readable storage medium, having stored thereon an article recommendation program based on a blockchain system, which when executed by a processor implements the method for recommending an article based on a blockchain system according to any one of claims 1 to 8.
10. An electronic device, comprising a memory, a processor and a commodity recommendation program based on a blockchain system, wherein the commodity recommendation program is stored in the memory and can run on the processor, and when the processor executes the commodity recommendation program, the commodity recommendation method based on the blockchain system according to any one of claims 1 to 8 is implemented.
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