CN116450858B - Sales system for electronic product - Google Patents
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Abstract
The application relates to a sales system for electronic products, which relates to the technical field of electronic commerce and comprises a problem receiving module, an information base module, a judging module, a matching module, a first sending module and a second sending module.
Description
Technical Field
The application relates to the technical field of electronic commerce, in particular to a sales system for electronic products.
Background
Nowadays, the electronic commerce industry in China is vigorously developed, and online shopping becomes the preferred shopping mode of most users. With the increase of e-commerce users, the user consultation amount of e-commerce websites also increases. To provide users with better quality of service, specialized and large manual customer service teams need to be built. Compared with manual customer service, the automatic question-answering system can be free from the influence of time and environment, and can continuously provide professional service for users for twenty-four hours. In the E-commerce industry, an automatic question-answering system is used, so that part of manual customer service work can be undertaken, the cost is saved for enterprises, and the user experience is improved. Therefore, the research of the automatic question-answering system based on the e-commerce field has great application value.
When users use the E-commerce website, questions are asked about specific business contents, and the fields of the questions can be divided into two main categories: one particular area is, for example, whether the merchandise supports unordered returns, which promotions the merchandise participates in, etc.; the other is the open field, such as the comparison of the commodity with the same type of commodity; in the open field, since there are many types of commodities, the commodities for asking questions cannot be predicted, and thus the automatic answering module cannot match with the corresponding templates. How to solve the technical problem is a technical difficulty which needs to be solved in the field.
Disclosure of Invention
In order to at least partially solve the technical problems, the application provides a sales system for electronic products.
The sales system for the electronic product provided by the application adopts the following technical scheme.
A sales system for electronic products, comprising:
the problem receiving module is used for receiving information sent by the client;
the information base module stores a plurality of product consultation problems and reply information matched with the product consultation problems;
the judging module is used for judging whether the information sent by the client is a product consultation problem or not;
the matching module is used for matching the problem sent by the client with the product consultation problem in the information base and obtaining a matching result after the judging module judges that the analysis result is the product consultation problem; the matching result comprises consistency and inconsistency;
the first sending module is used for obtaining reply information corresponding to the matching result in the information base module and sending the reply information to the corresponding client when the matching result of the matching module is consistent;
the second sending module is used for sending the analysis result to the large language model and receiving the text result returned by the large language model and sending the text result to the intelligent terminal when the matching result of the matching module is inconsistent; and after receiving the first confirmation information sent by the intelligent terminal, sending the text result to the client.
Optionally, the second sending module is further configured to: and after receiving the second confirmation information sent by the intelligent terminal, taking the text result and the analysis result as new reply information and a product consultation problem, and storing the new reply information and the new product consultation problem in the information base module.
Optionally, the problem receiving module includes at least one of a text module, a voice module, and an image module; wherein, the text module: the method comprises the steps of receiving text information sent by a client;
and a voice module: the method comprises the steps of receiving voice information sent by a client and converting the voice information into text information;
and (3) an image module: the method is used for receiving the image information sent by the client and converting the image information into text information through OCR technology.
Optionally, the system further comprises a storage module, wherein the storage module is used for storing data generated by the sales system.
Optionally, determining whether the information sent by the client is a product consultation problem includes:
analyzing the information sent by the client to obtain a plurality of keywords;
and matching the keywords with the product information to judge whether the product is a product consultation problem.
Optionally, matching the plurality of keywords with the product information to determine whether the product information is a product consultation problem includes:
matching a plurality of keywords with characteristic keywords preset in the product information; wherein the characteristic keywords comprise necessary keywords and optional keywords;
and when the matching result comprises the requisite keywords and at least one optional keyword, judging that the product consultation problem is generated.
Optionally, matching the problem sent by the client with the product consultation problem in the information base and obtaining a matching result includes:
s701, calling the product consultation problem of the first three matching degrees according to the necessary keywords and the optional keywords; the matching degree and the number of matched optional keywords form positive correlation; calling the characteristic word group of each product consultation problem; the characteristic word group comprises a first word group, a second word group and a third word group;
s702, generating word groups to be matched and blank word sets according to the sequence of the questions sent by the client;
s703, acquiring a keyword in the word groups to be matched and judging whether the keyword is positioned in the first word group, the second word group and the third word group; if so, go to S704; if not, go to S705;
s704, deleting the keywords from the word groups to be matched, and updating the word groups to be matched; and returns to S703;
s705, judging whether the keyword is unique in the feature word group; if not, go to S706; if so, go to S707;
s706, acquiring another keyword in the word group to be matched, and returning to S703;
s707, sequentially recording the keywords and all the superior keywords in the blank word set according to the positions of the keywords in the feature word group; deleting the keywords from the word groups to be matched, and updating the word groups to be matched; cutting the upper part of the key words in the feature word group to form a new feature word group;
s708, judging whether the word group to be matched is an empty set or not; if not, returning to S703; if so, go to S709;
s709, obtaining a complete word group in the blank word set;
s710, judging whether the complete word group in S709 is matched with the first word group, the second word group and the third word group; if so, the matching result is consistent; if the first word group, the second word group and the third word group are not matched, the matching result is inconsistent.
Optionally, the large language model is a localized large language model, and data of the large language model is not transmitted to the internet.
Drawings
FIG. 1 is a system block diagram of a sales system for electronic products according to an embodiment of the present application;
in the figure, 101, a problem receiving module; 102. an information base module; 103. a judging module; 104. a matching module; 105. a first transmitting module; 106. and a second transmitting module.
Detailed Description
The application is further illustrated by the following description of the specific embodiments in conjunction with the accompanying drawings of fig. 1:
first, what needs to be described here is: in the description of the present application, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," and the like are used for convenience of description only as regards orientation or positional relationship as shown in the accompanying drawings, and do not denote or imply that the apparatus or element in question must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application; moreover, the numerical terms such as the terms "first," "second," "third," etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" should be construed broadly, and may be, for example, a fixed connection, a releasable connection, an interference fit, a transition fit, or an integral connection; can be directly connected or indirectly connected through an intermediate medium; the specific meaning of the above terms in the present application will be understood by those skilled in the art according to the specific circumstances.
The embodiment of the application discloses a sales system for electronic products. Referring to fig. 1, as an embodiment of a sales system for electronic products, a sales system for electronic products includes: the system comprises a problem receiving module 101, an information base module 102, a judging module 103, a matching module 104, a first sending module 105 and a second sending module 106.
And the problem receiving module is used for receiving the information sent by the client. Specifically, the problem receiving module is communicated with the cloud server, and a user sends information through an APP, a web, an applet and the like built by a client; information sent by users can be divided into two main categories: one particular area is, for example, whether the merchandise supports unordered returns, which promotions the merchandise participates in, etc.; another is the open area, such as the comparison of the commodity with the same type of commodity, etc.
And the information base module is used for storing a plurality of product consultation problems and reply information matched with the product consultation problems. Specifically, the information base module stores a plurality of reply messages, and the reply messages are partially preconfigured, for example, reply messages of "a commodity is in favor of unordered returns" correspond to "whether the commodity is in favor of unordered returns", and reply messages of "B commodity participates in a sales promotion activity" correspond to "whether the B commodity participates in the sales promotion activity".
The judging module is used for judging whether the information sent by the client is a product consultation problem or not. Specifically, the problem sent by the user through the client may be various in terms of product consultation problem (commodity information, logistics information, preferential information, etc.), or may be irrelevant problem (non-commodity consultation problem, personal information problem), so that it is necessary to determine whether the information sent by the client is a product consultation problem. The product consultation questions of a customer typically include: links to products or names of products, etc.
The matching module is used for matching the problem sent by the client with the product consultation problem in the information base and obtaining a matching result after the judging module judges that the analysis result is the product consultation problem; the matching result includes agreement and disagreement. Specifically, after the judging module judges that the analysis result is the product consultation problem, the matching module matches the problem sent by the client with the product consultation problem in the information base to obtain a matching result, and when the matching result is consistent, the matching module indicates that the reply information in the information base module can be directly called for reply.
And the first sending module is used for acquiring reply information corresponding to the matching result in the information base module and sending the reply information to the corresponding client when the matching result of the matching module is consistent. Specifically, the first sending module is communicated with the cloud server, the first sending module sends the corresponding reply information to the client side through the cloud server after sending the reply information to the cloud server, and then a user can know the answer of the questions presented by the user, so that the process of manual participation is reduced, and the answer efficiency is greatly improved.
The second sending module is used for sending the analysis result to the large language model and receiving the text result returned by the large language model and sending the text result to the intelligent terminal when the matching result of the matching module is inconsistent; and after receiving the first confirmation information sent by the intelligent terminal, sending the text result to the client. Specifically, the above-described Large Language Model (LLM) refers to a deep learning model trained using a large amount of text data, which can generate natural language text or understand the meaning of language text. It should be noted that, in order to protect the privacy security of the user, the large language model needs to be configured locally, that is, on the basis of a mature deep learning model, a large amount of e-commerce product data, answer data, e-commerce propaganda data, activity information and the like are adopted to perform customized training again, and the data input into the large language model is not sent outwards, that is, is not sent to an external internet environment, so that the data security is ensured. When the matching result of the matching module is inconsistent, the processor sends the analysis result to the large language model, the large language model automatically answers to obtain a text result, the processor receives the text result returned by the large language model and sends the text result to the intelligent terminal, the intelligent terminal is a terminal used by customer service personnel, and the text sent by the large language model is confirmed by the customer service personnel. And the processor sends the text result to the client after receiving the first confirmation information sent by the intelligent terminal.
By adopting the technical scheme, the conventional product consultation problems in the specific field of the user can be quickly solved, and the unconventional product consultation problems in the open field can be quickly solved.
As a specific embodiment of the sales system for electronic products, the second sending module is further configured to: and after receiving the second confirmation information sent by the intelligent terminal, taking the text result and the analysis result as new reply information and a product consultation problem, and storing the new reply information and the new product consultation problem in the information base module.
Specifically, by adopting the technical scheme, the information base module can be automatically added with reply information, so that the information base module can answer more questions.
As a specific embodiment of a sales system for electronic products, the problem receiving module includes at least one of a text module, a voice module, and an image module; wherein, the text module: the method comprises the steps of receiving text information sent by a client;
and a voice module: the method comprises the steps of receiving voice information sent by a client and converting the voice information into text information;
and (3) an image module: the method is used for receiving the image information sent by the client and converting the image information into text information through OCR technology.
As a specific embodiment of the sales system for electronic products, the system further comprises a storage module, wherein the storage module is used for storing data generated by the sales system.
As one embodiment of a sales system for electronic products, determining whether the information sent by a client is a product consultation problem includes:
analyzing the information sent by the client to obtain a plurality of keywords;
and matching the keywords with the product information to judge whether the product is a product consultation problem.
Specifically, the product consultation problem usually has several keywords, and the keywords include links of products, product specification names, product models, product nicknames, prices, etc., and whether the product consultation problem is a product consultation problem can be judged by identifying the keywords and matching the keywords.
As one embodiment of a sales system for electronic products, matching a plurality of keywords with product information to determine whether it is a product consultation problem, includes:
matching a plurality of keywords with characteristic keywords preset in the product information; wherein the characteristic keywords comprise necessary keywords and optional keywords;
and when the matching result comprises the requisite keywords and at least one optional keyword, judging that the product consultation problem is generated.
Specifically, the requisite keywords include: the commodity link, the product specification name, the product model and the product nickname can rapidly correspond to the commodity through the necessary keywords, and the priority degree is highest; the optional keywords include: words of "price", "how much", "preferential", "performance", "quality", etc. strongly related to the product name; and judging that the product consultation problem is generated when the matching result comprises the requisite keywords and at least one optional keyword.
As one embodiment of a sales system for electronic products, matching the problem sent by a client with a product consultation problem in the information base and obtaining a matching result, the method includes:
s701, calling the product consultation problem of the first three matching degrees according to the necessary keywords and the optional keywords; the matching degree and the number of matched optional keywords form positive correlation; calling the characteristic word group of each product consultation problem; the characteristic word group comprises a first word group, a second word group and a third word group;
s702, generating word groups to be matched and blank word sets according to the sequence of the questions sent by the client;
s703, acquiring a keyword in the word groups to be matched and judging whether the keyword is positioned in the first word group, the second word group and the third word group; if so, go to S704; if not, go to S705;
s704, deleting the keywords from the word groups to be matched, and updating the word groups to be matched; and returns to S703;
s705, judging whether the keyword is unique in the feature word group; if not, go to S706; if so, go to S707;
s706, acquiring another keyword in the word group to be matched, and returning to S703;
s707, sequentially recording the keywords and all the superior keywords in the blank word set according to the positions of the keywords in the feature word group; deleting the keywords from the word groups to be matched, and updating the word groups to be matched; cutting the upper part of the key words in the feature word group to form a new feature word group;
s708, judging whether the word group to be matched is an empty set or not; if not, returning to S703; if so, go to S709;
s709, obtaining a complete word group in the blank word set;
s710, judging whether the complete word group in S709 is matched with the first word group, the second word group and the third word group; if so, the matching result is consistent; if the first word group, the second word group and the third word group are not matched, the matching result is inconsistent.
Specifically, one of them is exemplified. When the problem transmitted by the client is the price of the latest version of the computer A, generating a word group to be matched { "A computer", "latest version", "price" } according to the sequence of keywords, generating an empty word set, and deleting the keywords "A computer" from the word group to be matched by traversing the first word group, the second word group and the third word group to find that the keywords "A computer" are not unique, so that the latest version is continuously traversed, at the moment, the "A computer" and the "latest version" are unique, at the moment, the "A computer", the latest version "and all corresponding upper-level" certain brands "are recorded in the characteristic word group according to the hierarchical sequence, the space-time white word set is updated to be {" certain brand "," latest version "," A computer "}, and the keywords" latest version "are deleted from the word group to be matched, and the word group to be matched is updated to be {" price "}; the keyword "price" is then matched into a new word group to be matched. The keyword 'latest pattern' is found to be unique after traversing the new word group to be matched and the upper level is 'A computer', and the steps are repeated to obtain an empty white word set { a brand ',' latest pattern ',' A computer ',' price ','. When the word group to be matched is an empty set, keywords in the order command line are spliced in order to obtain a brand-latest type-A computer-price, so that the problem of a user can be processed in a unified way and reply information can be obtained.
As one embodiment of a sales system for electronic products, the large language model is a localized large language model, and data of the large language model is not transmitted to the internet.
It should be noted that: the above embodiments are only for illustrating the present application and not for limiting the technical solutions described in the present application, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the present application may be modified or substituted by the same, and all the technical solutions and modifications thereof without departing from the spirit and scope of the present application are intended to be included in the scope of the claims of the present application.
Claims (5)
1. A sales system for electronic products, comprising:
the problem receiving module is used for receiving information sent by the client;
the information base module stores a plurality of product consultation problems and reply information matched with the product consultation problems;
the judging module is used for judging whether the information sent by the client is a product consultation problem or not;
the matching module is used for matching the problem sent by the client with the product consultation problem in the information base and obtaining a matching result after the judging module judges that the analysis result is the product consultation problem; the matching result comprises consistency and inconsistency;
the first sending module is used for obtaining reply information corresponding to the matching result in the information base module and sending the reply information to the corresponding client when the matching result of the matching module is consistent;
the second sending module is used for sending the analysis result to the large language model and receiving the text result returned by the large language model and sending the text result to the intelligent terminal when the matching result of the matching module is inconsistent; after receiving the first confirmation information sent by the intelligent terminal, sending the text result to a client;
judging whether the information sent by the client is a product consultation problem or not, comprising:
analyzing the information sent by the client to obtain a plurality of keywords;
and matching the keywords with the product information to judge whether the product consultation problem exists or not; matching the plurality of keywords with the product information to determine whether the product consultation problem is a product consultation problem, including:
matching a plurality of keywords with characteristic keywords preset in the product information; wherein the characteristic keywords comprise necessary keywords and optional keywords;
when the matching result comprises the requisite keywords and at least one optional keyword, judging that the product consultation problem is generated; matching the problem sent by the client with the product consultation problem in the information base and obtaining a matching result, wherein the matching result comprises the following steps:
s701, calling the product consultation problem of the first three matching degrees according to the necessary keywords and the optional keywords; the matching degree and the number of matched optional keywords form positive correlation; calling the characteristic word group of each product consultation problem; the characteristic word group comprises a first word group, a second word group and a third word group;
s702, generating word groups to be matched and blank word sets according to the sequence of the questions sent by the client;
s703, acquiring a keyword in the word groups to be matched and judging whether the keyword is positioned in the first word group, the second word group and the third word group; if so, go to S704; if not, go to S705;
s704, deleting the keywords from the word groups to be matched, and updating the word groups to be matched; and returns to S703;
s705, judging whether the keyword is unique in the feature word group; if not, go to S706; if so, go to S707;
s706, acquiring another keyword in the word group to be matched, and returning to S703;
s707, sequentially recording the keywords and all the superior keywords in the blank word set according to the positions of the keywords in the feature word group; deleting the keywords from the word groups to be matched, and updating the word groups to be matched; cutting the upper part of the key words in the feature word group to form a new feature word group;
s708, judging whether the word group to be matched is an empty set or not; if not, returning to S703; if so, go to S709;
s709, obtaining a complete word group in the blank word set;
s710, judging whether the complete word group in S709 is matched with the first word group, the second word group and the third word group; if so, the matching result is consistent; if the first word group, the second word group and the third word group are not matched, the matching result is inconsistent.
2. The sales system for electronic products according to claim 1, wherein the second transmission module is further configured to: and after receiving the second confirmation information sent by the intelligent terminal, taking the text result and the analysis result as new reply information and a product consultation problem, and storing the new reply information and the new product consultation problem in the information base module.
3. The sales system for electronic products according to claim 2, wherein the problem receiving module includes at least one of a text module, a voice module, and an image module; wherein, the text module: the method comprises the steps of receiving text information sent by a client;
and a voice module: the method comprises the steps of receiving voice information sent by a client and converting the voice information into text information;
and (3) an image module: the method is used for receiving the image information sent by the client and converting the image information into text information through OCR technology.
4. A sales system for electronic products according to claim 3, wherein the system further comprises a storage module for storing data generated by the sales system.
5. The sales system for electronic products according to claim 4, wherein the large language model is a localized large language model, and data of the large language model is not transmitted to the internet.
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| CN113505209A (en) * | 2021-07-09 | 2021-10-15 | 吉林大学 | Intelligent question-answering system for automobile field |
| CN114357127A (en) * | 2021-11-19 | 2022-04-15 | 武汉科技大学 | Intelligent question-answering method based on machine reading understanding and common question-answering model |
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