CN114202389A - User evaluation control method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses a user evaluation control method and device, electronic equipment and a storage medium. The method has the advantages that the user evaluation information is obtained, the evaluation information is divided into the first evaluation information with pictures and the second evaluation information with only characters, then the character information in the second evaluation information is respectively identified to obtain the commodity score A, the first evaluation information is identified and analyzed to obtain the commodity score B, and finally the accurate score C of the commodity is obtained through comprehensive consideration according to the commodity score A and the commodity score B.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for managing and controlling user evaluation, an electronic device, and a storage medium.
Background
With the development of internet technology, especially mobile internet related technology, more and more people can shop and consume through an e-commerce platform, and people often refer to user evaluation data provided by the e-commerce platform when shopping and consuming through the e-commerce platform.
A large number of websites helping users to recommend are available in the market, most of the websites are promoted by demands, and more or less advertisements are mixed in recommendations of experts, which is biased. The traditional user evaluation data analysis method only simply counts user evaluation opinions, provides visual data such as good evaluation rate, medium evaluation rate, poor evaluation rate and the like, lists the selected user evaluation opinions, and cannot judge the accuracy and effectiveness of the user evaluation opinions, so that the obtained analysis result has no great guiding effect on the consumption of consumers on an e-commerce platform.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present application provide a method, an apparatus, an electronic device, and a computer storage medium for managing and controlling user evaluation, so as to solve the technical problems mentioned in the background section above.
As a first aspect of the present application, some embodiments of the present application provide a method for managing and controlling user evaluation, including the following steps:
acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A;
identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
Preferably, the following components: analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all the user evaluation information; obtaining a commodity score A, which specifically comprises the following steps:
performing semantic analysis according to a preset text library to obtain characters to be compared meeting preset semantics and the proportion of the characters to be compared; the preset semantics comprise good semantics and bad semantics; the quantity of words with good semantics is a 1; the quantity of words with bad semantics is b 1; when a1-b1 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the proportion percentage X1 of the very satisfactory to all the first evaluation information, comparing the proportion percentage Y1 of the very satisfactory to all the first evaluation information with the proportion percentage Z1 of the acceptable to all the first evaluation information and the proportion percentage N1 of the unsatisfied to all the first evaluation information;
commercial score a = X1+ Y1+ Z1/2-N1.
Preferably, the picture information of the text information in the first evaluation information is identified, and the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order is identified; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B, which specifically comprises the following steps:
segmenting word information in the first evaluation information according to a segmentation word bank to obtain words to be matched meeting preset part of speech and the word quantity of the words to be matched; presetting part of speech including good semantics and bad semantics; the quantity of words with good semantics is a 2; the quantity of words with bad semantics is b 2; when a2-b2 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the proportion percentage X2 of the very satisfactory to all the first evaluation information, comparing the proportion percentage Y2 of the very satisfactory to all the first evaluation information with the proportion percentage Z2 of the acceptable to all the first evaluation information and the proportion percentage N2 of the unsatisfied to all the first evaluation information;
identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the text information, wherein the matching degree comprises complete matching, incomplete matching and complete mismatching; when the matching degree is completely matched, the index is 1; when the matching degree is incomplete matching, the index is 0.5; when the matching degree is completely unmatched, the index is 0.2; calculating the composite adoption index M = percentage of number of completely matched evaluations x1+ percentage of incompletely matched evaluations x 0.5+ percentage of completely unmatched evaluations x 0.2;
commercial score B = (X2 + Y2+ Z2/2-N2) × M.
Preferably, the obtaining of the accurate score C of the commodity according to the commodity score a and the commodity score B specifically includes: c = a/2+ B.
Preferably, the method further comprises the following steps:
the adjusting of the recommendation index of the commodity according to the accurate score C specifically includes:
numbering the commodities in sequence; dividing the commodity into 10 components with equal quantity according to the accurate score C from high to low; and 10 levels from top to bottom in order.
Preferably, the method further comprises the following steps:
distributing recommended resources of the commodities according to the recommendation index; when the recommendation index is 10-9 grades, the recommended resource proportion is 1/3; when the recommendation index is 8-7 grade, the recommended resource proportion is 4/15; when the recommendation index is 6-5 grade, the recommended resource proportion is 1/5; when the recommendation index is 4-3 grade, the recommended resource proportion is 1/6; when the recommendation index is in a level of 2-1, the recommended resource proportion is 1/30.
As a second aspect of the present application, some embodiments of the present application provide a user evaluation management and control apparatus, including:
the evaluation acquisition module is used for acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
the evaluation identification module is used for analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A; identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and the accurate evaluation module is used for obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
As a third aspect of the present application, some embodiments of the present application provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
As a fourth aspect of the present application, some embodiments of the present application provide a computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The beneficial effect of this application lies in: the method comprises the steps of obtaining user evaluation information, dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters, identifying the character information in the second evaluation information to obtain a commodity score A, identifying and analyzing the first evaluation information to obtain a commodity score B, and comprehensively considering according to the commodity score A and the commodity score B to obtain an accurate score C of a commodity.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it.
Further, throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
In the drawings:
fig. 1 is a schematic diagram of an application scenario of a user evaluation management and control method according to some embodiments of the present application;
FIG. 2 is a flowchart illustrating an overall method for managing user ratings according to an embodiment of the present application;
FIG. 3 is a partial flowchart of a first method for managing user ratings according to an embodiment of the present application;
FIG. 4 is a partial flowchart of a second method for managing user ratings according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
The meaning of the reference symbols in the figures:
101. a shop terminal; 102. a user terminal; 103. a server;
800. an electronic device; 801. a processing device; 802. a ROM; 803. a RAM; 804. a bus; 805. an I/O interface; 806. an input device; 807. an output device; 808. a storage device; 809. a communication device.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 2 to 4, a method for managing and controlling user evaluation according to an embodiment of the present application includes the following steps: acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A;
identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
And adjusting the recommendation index of the commodity according to the accurate score C.
Analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A, which specifically comprises the following steps:
performing semantic analysis according to a preset text library to obtain characters to be compared meeting preset semantics and the proportion of the characters to be compared; the preset semantics comprise good semantics and bad semantics; the quantity of words with good semantics is a 1; the quantity of words with bad semantics is b 1; when a1-b1 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the proportion percentage X1 of the very satisfactory to all the first evaluation information, comparing the proportion percentage Y1 of the very satisfactory to all the first evaluation information with the proportion percentage Z1 of the acceptable to all the first evaluation information and the proportion percentage N1 of the unsatisfied to all the first evaluation information;
commercial score a = X1+ Y1+ Z1/2-N1.
Similarly, picture information of the character information in the first evaluation information is identified, and the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order is identified; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B, which specifically comprises the following steps:
segmenting word information in the first evaluation information according to a segmentation word bank to obtain words to be matched meeting preset part of speech and the word quantity of the words to be matched; presetting part of speech including good semantics and bad semantics; the quantity of words with good semantics is a 2; the quantity of words with bad semantics is b 2; when a2-b2 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the proportion percentage X2 of the very satisfactory to all the first evaluation information, comparing the proportion percentage Y2 of the very satisfactory to all the first evaluation information with the proportion percentage Z2 of the acceptable to all the first evaluation information and the proportion percentage N2 of the unsatisfied to all the first evaluation information;
identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the text information, wherein the matching degree comprises complete matching, incomplete matching and complete mismatching; when the matching degree is completely matched, the index is 1; when the matching degree is incomplete matching, the index is 0.5; when the matching degree is completely unmatched, the index is 0.2; calculating the composite adoption index M = percentage of number of completely matched evaluations x1+ percentage of incompletely matched evaluations x 0.5+ percentage of completely unmatched evaluations x 0.2;
commercial score B = (X2 + Y2+ Z2/2-N2) × M.
Therefore, according to the commodity score a and the commodity score B, obtaining an accurate score C of the commodity, which specifically includes: c = a/2+ B.
Adjusting the recommendation index of the commodity according to the accurate score C, which specifically comprises the following steps:
numbering the commodities in sequence; dividing the commodity into 10 components with equal quantity according to the accurate score C from high to low; and 10 levels from top to bottom in the order further comprise: distributing recommended resources of the commodities according to the recommendation index; when the recommendation index is 10-9 grades, the recommended resource proportion is 1/3; when the recommendation index is 8-7 grade, the recommended resource proportion is 4/15; when the recommendation index is 6-5 grade, the recommended resource proportion is 1/5; when the recommendation index is 4-3 grade, the recommended resource proportion is 1/6; when the recommendation index is in a level of 2-1, the recommended resource proportion is 1/30.
The management and control device for user evaluation of one embodiment of the application comprises: the system comprises an evaluation acquisition module, an evaluation identification module and an accurate evaluation module.
The evaluation acquisition module is used for acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
the evaluation identification module is used for analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory to all user evaluation information; obtaining a commodity score A; identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and the accurate evaluation module is used for obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
As shown with reference to fig. 5, an electronic device 800 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 801 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data necessary for the operation of the electronic apparatus 800 are also stored. The processing apparatus 801, the ROM802, and the RAM803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
Generally, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.: output devices 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 808 including, for example, magnetic tape, hard disk, etc.: and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate wirelessly or by wire with other devices to exchange data.
While fig. 5 illustrates an electronic device 800 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer storage medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through communications device 809, or installed from storage device 808, or installed from ROM 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer storage media described above in some embodiments of the disclosure can be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer storage medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (hypertext transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer storage medium may be one contained in the electronic device: or may exist separately without being assembled into the electronic device. The computer storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: user evaluation information can be acquired; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A;
identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and including the conventional procedural programming languages: such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.
For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, the names of which units do not in some cases constitute a limitation of the unit itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A control method for user evaluation is characterized in that: the method comprises the following steps:
acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A;
identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
2. The method for managing and controlling user evaluation according to claim 1, wherein: analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all the user evaluation information; obtaining a commodity score A, which specifically comprises the following steps:
performing semantic analysis according to a preset text library to obtain characters to be compared meeting preset semantics and the proportion of the characters to be compared; the preset semantics comprise good semantics and bad semantics; the quantity of words with good semantics is a 1; the quantity of words with bad semantics is b 1; when a1-b1 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the proportion percentage X1 of the very satisfactory to all the first evaluation information, comparing the proportion percentage Y1 of the very satisfactory to all the first evaluation information with the proportion percentage Z1 of the acceptable to all the first evaluation information and the proportion percentage N1 of the unsatisfied to all the first evaluation information;
commercial score a = X1+ Y1+ Z1/2-N1.
3. The method for managing and controlling user evaluation according to claim 2, wherein: identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B, which specifically comprises the following steps:
segmenting word information in the first evaluation information according to a segmentation word bank to obtain words to be matched meeting preset part of speech and the word quantity of the words to be matched; presetting part of speech including good semantics and bad semantics; the quantity of words with good semantics is a 2; the quantity of words with bad semantics is b 2; when a2-b2 ≧ 2, the evaluation information is very satisfactory; when a2-b2 is less than or equal to-2, the evaluation information is unsatisfactory; when-2 < a2-b2<0, then the rating information is acceptable; when 0< a2-b2<2, the evaluation information is relatively satisfactory;
respectively calculating the percentage X2 of the proportion of the very satisfactory to all the first evaluation information, the percentage Y2 of the comparison satisfactory to all the first evaluation information, the percentage Z2 of the acceptable proportion to all the first evaluation information and the percentage N2 of the proportion of the unsatisfactory proportion to all the first evaluation information;
identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the text information, wherein the matching degree comprises complete matching, incomplete matching and complete mismatching; when the matching degree is completely matched, the index is 1; when the matching degree is incomplete matching, the index is 0.5; when the matching degree is completely unmatched, the index is 0.2; calculating the composite adoption index M = percentage of number of completely matched evaluations x1+ percentage of incompletely matched evaluations x 0.5+ percentage of completely unmatched evaluations x 0.2;
commercial score B = (X2 + Y2+ Z2/2-N2) × M.
4. The method for managing and controlling user evaluation according to claim 3, wherein: the obtaining of the accurate score C of the commodity according to the commodity score A and the commodity score B specifically comprises the following steps: c = a/2+ B.
5. The method for managing and controlling user evaluation according to claim 1, wherein: further comprising:
and adjusting the recommendation index of the commodity according to the accurate score C.
6. The method for managing and controlling user evaluation according to claim 5, wherein: the adjusting of the recommendation index of the commodity according to the accurate score C specifically includes:
numbering the commodities in sequence; dividing the commodity into 10 components with equal quantity according to the accurate score C from high to low; and 10 levels from top to bottom in order.
7. The method for managing and controlling user evaluation according to claim 6, wherein: further comprising:
distributing recommended resources of the commodities according to the recommendation index; when the recommendation index is 10-9 grades, the recommended resource proportion is 1/3; when the recommendation index is 8-7 grade, the recommended resource proportion is 4/15; when the recommendation index is 6-5 grade, the recommended resource proportion is 1/5; when the recommendation index is 4-3 grade, the recommended resource proportion is 1/6; when the recommendation index is in a level of 2-1, the recommended resource proportion is 1/30.
8. A management and control device for user evaluation comprises:
the evaluation acquisition module is used for acquiring user evaluation information; the user evaluation information comprises character information and picture information; dividing the evaluation information into first evaluation information with pictures and second evaluation information with only characters;
the evaluation identification module is used for analyzing the character information in the evaluation information II, extracting characters related to the evaluation information and analyzing the preference degree of the characters, dividing the characters into very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters according to the preference degree of the characters in the evaluation opinions of the commodities, and respectively counting the percentage of the very satisfactory, comparatively satisfactory, acceptable and unsatisfactory characters in all user evaluation information; obtaining a commodity score A; identifying picture information of the character information in the first evaluation information, and identifying the matching degree of the commodity corresponding to the content in the picture and the commodity corresponding to the order; analyzing the adoption index of the first evaluation information; according to the preference degree of the commodity evaluation opinions, the commodity evaluation opinion is divided into very satisfactory, relatively satisfactory, acceptable and unsatisfactory, and the percentage of the very satisfactory, relatively satisfactory, acceptable and unsatisfactory in all user evaluation information is respectively counted; obtaining a commodity score B;
and the accurate evaluation module is used for obtaining an accurate score C of the commodity according to the commodity score A and the commodity score B.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the processors to implement the method of any one of claims 1 to 7.
10. A computer storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the method of any of claims 1 to 7.
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