CN111062788A - E-commerce platform commodity recommendation method, device and equipment based on search - Google Patents
E-commerce platform commodity recommendation method, device and equipment based on search Download PDFInfo
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Abstract
The invention discloses a search-based E-commerce platform commodity recommendation method, a search-based E-commerce platform commodity recommendation device and equipment. Wherein the method comprises the following steps: extracting keywords from the acquired input information, performing normalization processing on the extracted keywords to enable data value ranges corresponding to all features of the extracted keywords to be consistent, forming feature data of the extracted keywords, constructing a neural network model based on the feature data, searching commodity information matched with the neural network model in the E-commerce platform to obtain a commodity search result, and displaying the commodity search result in an order according to the degree of association as commodity recommendation of the E-commerce platform. By the aid of the method, commodity search can be carried out according to the keywords of the input information input into the search box in the search engine of the E-commerce platform by the user to obtain the commodity search result which is used as the commodity recommendation of the E-commerce platform, the relevancy of the commodity search result can be improved, and the user can conveniently and quickly find the required commodity information through the commodity search result.
Description
Technical Field
The invention relates to the technical field of e-commerce platforms, in particular to a search-based e-commerce platform commodity recommendation method, device and equipment.
Background
The existing search-based E-commerce platform commodity recommendation scheme generally acquires input information input by a user into a search box in a search engine of an E-commerce platform, searches commodities according to the acquired input information to obtain a commodity search result, and displays the commodity search result in sequence as E-commerce platform commodity recommendation.
However, in the existing search-based e-commerce platform commodity recommendation scheme, the commodity search result displayed in a sorted manner as e-commerce platform commodity recommendation is only a commodity search result obtained by searching through the acquired input information, so that the relevance of the commodity search result displayed in the sorted manner is not large, a user cannot quickly find required commodity information through the commodity search result, the commodity search according to a keyword of input information input into a search box of a search engine of the e-commerce platform by the user cannot be realized to obtain the commodity search result as e-commerce platform commodity recommendation, and the relevance of the commodity search result cannot be improved, so that the user cannot quickly find the required commodity information through the commodity search result.
Disclosure of Invention
In view of the above, the present invention provides a search-based e-commerce platform commodity recommendation method, apparatus and device, which can perform commodity search according to a keyword of input information input by a user into a search box of a search engine of an e-commerce platform to obtain a commodity search result as e-commerce platform commodity recommendation, and can improve the association degree of the commodity search result, so that the user can quickly find out required commodity information through the commodity search result.
According to one aspect of the invention, a search-based e-commerce platform commodity recommendation method is provided, and comprises the following steps: acquiring input information input into a search box in a search engine of an e-commerce platform by a user; extracting keywords from the acquired input information in a natural language analysis mode; performing normalization processing on the extracted keywords to enable data value ranges corresponding to all features of the extracted keywords to be consistent, and forming feature data of the extracted keywords; constructing a neural network model based on the formed characteristic data; searching commodity information matched with the neural network model in the E-commerce platform according to the built neural network model to obtain a commodity searching result; and displaying the commodity search results in an order according to the relevance degree to serve as commodity recommendation of the E-commerce platform.
The normalization processing is performed on the extracted keyword so that the data value ranges corresponding to the features of the extracted keyword are consistent, and feature data of the extracted keyword are formed, and the normalization processing includes: and extracting at least one feature from the extracted keywords, and performing normalization processing on the extracted at least one feature to make the data value ranges corresponding to the features of the extracted keywords consistent, so as to form feature data of the extracted keywords.
The step of searching the commodity information matched with the neural network model in the E-commerce platform according to the built neural network model to obtain a commodity search result comprises the following steps: defining a search result structure and a rule according to the constructed neural network model, and searching commodity information matched with the neural network model in the E-commerce platform according to the defined search result structure and the defined search result rule to obtain a commodity search result.
After the commodity search results are displayed in the order of the relevance degree and used as the commodity recommendation of the e-commerce platform, the method further comprises the following steps: and according to the behavior track of the user on the e-commerce platform, acquiring the consumption demand of the consumer on the e-commerce platform, and pushing commodity information associated with the commodity search results displayed in the sequence according to the relevancy to the user according to the consumption demand.
According to another aspect of the present invention, there is provided a search-based e-commerce platform commodity recommendation device, including: the system comprises an acquisition module, an extraction module, a forming module, a construction module, a search module and a display module; the acquisition module is used for acquiring input information input into a search box in a search engine of the e-commerce platform by a user; the extraction module is used for extracting the keywords of the acquired input information in a natural language analysis mode; the forming module is used for carrying out normalization processing on the extracted keywords so as to enable data value ranges corresponding to all features of the extracted keywords to be consistent, and feature data of the extracted keywords are formed; the building module is used for building a neural network model based on the formed characteristic data; the searching module is used for searching the commodity information matched with the neural network model in the E-commerce platform according to the constructed neural network model to obtain a commodity searching result; and the display module is used for displaying the commodity search results in an order according to the relevance degree to serve as commodity recommendation of the E-commerce platform.
Wherein the forming module is specifically configured to: and extracting at least one feature from the extracted keywords, and performing normalization processing on the extracted at least one feature to make the data value ranges corresponding to the features of the extracted keywords consistent, so as to form feature data of the extracted keywords.
The search module is specifically configured to: defining a search result structure and a rule according to the constructed neural network model, and searching commodity information matched with the neural network model in the E-commerce platform according to the defined search result structure and the defined search result rule to obtain a commodity search result.
Wherein, the E-commerce platform commodity recommendation device based on search still includes: a push module; the pushing module is used for acquiring the consumption demand of the consumer on the e-commerce platform according to the behavior track of the user on the e-commerce platform, and pushing the commodity information associated with the commodity search results displayed in the sequence according to the association degree to the user according to the consumption demand.
According to still another aspect of the present invention, there is provided a search-based e-commerce platform goods recommendation apparatus, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the search based e-commerce platform merchandise recommendation method of any one of the above.
According to still another aspect of the present invention, there is provided a computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the search based e-commerce platform goods recommendation method according to any one of the above.
It can be found that, according to the above scheme, the input information input by the user into the search box in the search engine of the e-commerce platform can be obtained, the obtained input information can be extracted by adopting a natural language analysis mode, the extracted keyword can be normalized, so that the data value ranges corresponding to the characteristics of the extracted keyword are consistent, the characteristic data of the extracted keyword are formed, a neural network model based on the formed characteristic data can be constructed, the commodity information matched with the neural network model can be searched in the e-commerce platform according to the constructed neural network model to obtain the commodity search result, the commodity search result can be displayed in the rank order according to the relevance degree as the commodity recommendation of the e-commerce platform, and the commodity search result can be obtained by performing the commodity search according to the keyword of the input information input by the user into the search box in the search engine of the e-commerce platform as the commodity recommendation of the e-commerce platform can be realized The method can improve the relevancy of the commodity search result, and is convenient for a user to quickly find the required commodity information through the commodity search result.
Furthermore, according to the scheme, at least one feature can be extracted from the extracted keyword, and normalization processing can be performed on the extracted at least one feature, so that the data value ranges corresponding to the features of the extracted keyword are consistent, and the feature data of the extracted keyword is formed.
Furthermore, according to the scheme, a search result structure and a rule can be defined according to the constructed neural network model, and according to the defined search result structure and rule, commodity information matched with the neural network model is searched in the E-commerce platform to obtain a commodity search result.
Furthermore, according to the scheme, the consumption demand of the consumer on the E-commerce platform can be obtained according to the behavior track of the user on the E-commerce platform, the commodity information related to the commodity search result displayed in the relevance sorting mode is pushed to the user according to the consumption demand, the commodity can be pushed to be sold according to the consumption demand of the user on the E-commerce platform and the input information currently input into the search box in the search engine of the E-commerce platform, and the sales volume of the commodity on the E-commerce platform can be increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of the search-based E-commerce platform commodity recommendation method of the present invention;
FIG. 2 is a schematic flow chart diagram illustrating a search-based E-commerce platform commodity recommendation method according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of the search-based E-commerce platform commodity recommendation device of the present invention;
FIG. 4 is a schematic structural diagram of another embodiment of the search-based E-commerce platform commodity recommendation device of the present invention;
fig. 5 is a schematic structural diagram of an embodiment of the search-based e-commerce platform commodity recommendation device of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be noted that the following examples are only illustrative of the present invention, and do not limit the scope of the present invention. Similarly, the following examples are only some but not all examples of the present invention, and all other examples obtained by those skilled in the art without any inventive work are within the scope of the present invention.
The invention provides a search-based E-commerce platform commodity recommendation method, which can realize commodity search according to keywords of input information input into a search box in a search engine of an E-commerce platform by a user to obtain a commodity search result as E-commerce platform commodity recommendation, can improve the relevance of the commodity search result, and is convenient for the user to quickly find required commodity information through the commodity search result.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating an embodiment of a search-based e-commerce platform commodity recommendation method according to the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 1 if the results are substantially the same. As shown in fig. 1, the method comprises the steps of:
s101: acquiring input information input into a search box in a search engine of the e-commerce platform by a user.
In this embodiment, the acquired input information input by the user into the search box of the search engine of the e-commerce platform may be at least one of a graphic, a text, a web address, and the like, which is not limited in the present invention.
S102: and extracting the keywords of the acquired input information by adopting a natural language analysis mode.
In this embodiment, natural languages may generally evolve naturally with culture. For example, english, chinese, and japanese are examples of natural languages, while world languages are artificial languages, which are languages created for some specific purposes.
In the present embodiment, all languages used by humans, including the above-mentioned languages that naturally evolve with culture, and artificial languages, can be regarded as natural languages, such that such a natural language usage can be found in analyzing a word in natural language with respect to an artificial language provided for a computer such as a programming language.
In this embodiment, the natural language analysis may be a scheme that determines functions of components constituting an input sentence by using syntax and other knowledge of a natural language, so as to establish a data structure and obtain meaning of the input sentence.
In this embodiment, in the compiling theory, the object of the natural language analysis mode may be a statement of a computer programming language; in the pattern recognition, the object of the natural language analysis method may be a sentence in a pattern language such as an image description language, and these sentences are not a sentence in a natural language but a sentence in an artificial language. In natural language understanding, the object of the natural language analysis may not be an artificial language, but may be a sentence of a natural language.
In this embodiment, the types of the natural language analysis manners may include:
template matching type parser, simple phrase structure parser, conversion parser, extended transfer network parser, general parser, semantic type parser, and syntax-free type parser, etc., the present invention is not limited thereto.
S103: and carrying out normalization processing on the extracted keywords so as to enable the data value ranges corresponding to the features of the extracted keywords to be consistent, and forming feature data of the extracted keywords.
Wherein, should carry out normalization processing to the keyword of this extraction to make the data value range that each characteristic of the keyword of this extraction corresponds unanimous, form the characteristic data of the keyword of this extraction, can include:
and extracting at least one feature from the extracted keyword, and performing normalization processing on the extracted at least one feature to make the data value ranges corresponding to the features of the extracted keyword consistent to form feature data of the extracted keyword.
In this embodiment, the normalization processing may be a simplified calculation, and may be a method of transforming a dimensional expression into a dimensionless expression, which becomes a scalar.
S104: and constructing a neural network model based on the formed characteristic data.
In the embodiment, the neural network model has large-scale parallel, distributed storage and processing, self-organization, self-adaptation and self-learning capabilities, and is particularly suitable for processing inaccurate and fuzzy information processing problems and the like which need to consider many factors and conditions simultaneously.
S105: and searching commodity information matched with the neural network model in the E-commerce platform according to the constructed neural network model to obtain a commodity searching result.
The searching for the commodity information matching the neural network model in the e-commerce platform according to the constructed neural network model to obtain a commodity search result may include:
according to the constructed neural network model, a search result structure and rules are defined, and according to the defined search result structure and rules, commodity information matched with the neural network model is searched in the E-commerce platform to obtain a commodity search result.
In this embodiment, a structure and a rule of the search result may be defined, for example, a neural network may include meta information such as appearance information, function information, volume information, weight information, quality information, shape information, size information, color information, performance information, technical index information, and graphic information of the product, and different display modes may be defined according to user requirements to display different element information, which is not limited in the invention.
S106: and displaying the commodity search results in an order according to the degree of association as E-commerce platform commodity recommendation.
After the commodity search results are displayed in the order of the relevance degree and recommended as the commodities of the e-commerce platform, the method further comprises the following steps:
according to the method, the consumption demand of a consumer on the E-commerce platform is obtained according to the behavior track of the user on the E-commerce platform, commodity information related to the commodity search results displayed in the relevance ranking mode is pushed to the user according to the consumption demand, commodities can be pushed to be sold according to the consumption demand of the user on the E-commerce platform and input information currently input into a search box in a search engine of the E-commerce platform, and therefore the sales volume of the commodities on the E-commerce platform can be increased.
It can be found that, in this embodiment, the input information input by the user into the search box of the search engine of the e-commerce platform can be obtained, the obtained input information can be extracted by adopting a natural language analysis mode, the extracted keyword can be normalized, so that the data value ranges corresponding to the features of the extracted keyword are consistent, the feature data of the extracted keyword are formed, a neural network model based on the formed feature data can be constructed, the commodity information matched with the neural network model can be searched in the e-commerce platform according to the constructed neural network model to obtain the commodity search result, the commodity search result can be displayed in the rank order according to the relevance degree as the commodity recommendation of the e-commerce platform, and the commodity search result can be obtained as the commodity recommendation of the e-commerce platform according to the keyword of the input information input by the user into the search box of the search engine of the e-commerce platform And recommendation can improve the association degree of the commodity search results, so that the user can conveniently and quickly find the required commodity information through the commodity search results.
Further, in this embodiment, at least one feature may be extracted from the extracted keyword, and the extracted at least one feature may be normalized to make the data value ranges corresponding to the features of the extracted keyword consistent, so as to form the feature data of the extracted keyword.
Further, in this embodiment, a search result structure and rules may be defined according to the constructed neural network model, and according to the defined search result structure and rules, commodity information matching the neural network model may be searched in the e-commerce platform to obtain a commodity search result.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a search-based e-commerce platform commodity recommendation method according to another embodiment of the present invention. In this embodiment, the method includes the steps of:
s201: acquiring input information input into a search box in a search engine of the e-commerce platform by a user.
As described above in S101, further description is omitted here.
S202: and extracting the keywords of the acquired input information by adopting a natural language analysis mode.
As described above in S102, further description is omitted here.
S203: and carrying out normalization processing on the extracted keywords so as to enable the data value ranges corresponding to the features of the extracted keywords to be consistent, and forming feature data of the extracted keywords.
As described above in S103, which is not described herein.
S204: and constructing a neural network model based on the formed characteristic data.
As described above in S104, and will not be described herein.
S205: and searching commodity information matched with the neural network model in the E-commerce platform according to the constructed neural network model to obtain a commodity searching result.
As described above in S105, which is not described herein.
S206: and displaying the commodity search results in an order according to the degree of association as E-commerce platform commodity recommendation.
As described above in S106, and will not be described herein.
S207: according to the behavior track of the user on the e-commerce platform, the consumption demand of the consumer on the e-commerce platform is obtained, and according to the consumption demand, commodity information related to the commodity search results displayed in the relevance sorting mode is pushed to the user.
In this embodiment, the behavior trace of the user on the e-commerce platform may include a consumption record of the user on the e-commerce platform, a browsing record of the user on the e-commerce platform, a collection record of the user on the e-commerce platform, a commodity record of the user joining a shopping cart on the e-commerce platform, and the like, which is not limited in the present invention.
It can be found that, in this embodiment, the consumption demand of the consumer on the e-commerce platform can be obtained according to the behavior track of the user on the e-commerce platform, and the commodity information associated with the commodity search result displayed in the relevance ranking is pushed to the user according to the consumption demand, so that the commodity can be pushed for sale according to the consumption demand of the user on the e-commerce platform and the input information currently input into the search box in the search engine of the e-commerce platform, and further the sales volume of the commodity on the e-commerce platform can be increased.
The invention also provides a search-based E-commerce platform commodity recommendation device, which can realize commodity search according to the keywords of the input information input into the search box in the search engine of the E-commerce platform by the user to obtain a commodity search result as E-commerce platform commodity recommendation, can improve the relevance of the commodity search result, and is convenient for the user to quickly find the required commodity information through the commodity search result.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a search-based e-commerce platform commodity recommendation device according to the present invention. In this embodiment, the search-based e-commerce platform commodity recommendation device 30 includes an obtaining module 31, an extracting module 32, a forming module 33, a constructing module 34, a searching module 35, and a displaying module 36.
The obtaining module 31 is configured to obtain input information input by a user into a search box in a search engine of the e-commerce platform.
The extraction module 32 is configured to perform keyword extraction on the acquired input information in a natural language analysis manner.
The forming module 33 is configured to perform normalization processing on the extracted keyword, so that data value ranges corresponding to the features of the extracted keyword are consistent, and feature data of the extracted keyword is formed.
The building module 34 is used for building a neural network model based on the formed characteristic data.
The searching module 35 is configured to search, according to the constructed neural network model, the commodity information matching the neural network model in the e-commerce platform to obtain a commodity searching result.
The display module 36 is configured to display the commodity search results in an order according to the relevance degree as commodity recommendation of the e-commerce platform.
Optionally, the forming module 33 may be specifically configured to:
and extracting at least one feature from the extracted keyword, and performing normalization processing on the extracted at least one feature so as to make the data value ranges corresponding to the features of the extracted keyword consistent and form feature data of the extracted keyword.
Optionally, the searching module 35 may be specifically configured to:
defining a search result structure and a rule according to the constructed neural network model, and searching commodity information matched with the neural network model in the E-commerce platform according to the defined search result structure and the defined search result rule to obtain a commodity search result.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another embodiment of the search-based e-commerce platform commodity recommendation device of the present invention. Different from the previous embodiment, the search-based e-commerce platform commodity recommendation device 40 according to the present embodiment further includes a push module 41.
The pushing module 41 is configured to obtain a consumption demand of a consumer on the e-commerce platform according to a behavior track of the user on the e-commerce platform, and push commodity information associated with the commodity search result displayed in the order of relevance to the user according to the consumption demand.
Each unit module of the search-based e-commerce platform commodity recommendation device 30/40 may respectively perform the corresponding steps in the above method embodiments, and therefore, the description of each unit module is omitted here, and please refer to the description of the corresponding steps above in detail.
The present invention further provides a search-based e-commerce platform commodity recommendation apparatus, as shown in fig. 5, including: at least one processor 51; and a memory 52 communicatively coupled to the at least one processor 51; the memory 52 stores instructions executable by the at least one processor 51, and the instructions are executable by the at least one processor 51 to enable the at least one processor 51 to perform the search-based e-commerce platform goods recommendation method described above.
Wherein the memory 52 and the processor 51 are coupled in a bus, which may comprise any number of interconnected buses and bridges, which couple one or more of the various circuits of the processor 51 and the memory 52 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 51 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 51.
The processor 51 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory 52 may be used to store data used by the processor 51 in performing operations.
The present invention further provides a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
It can be found that, according to the above scheme, the input information input by the user into the search box in the search engine of the e-commerce platform can be obtained, the obtained input information can be extracted by adopting a natural language analysis mode, the extracted keyword can be normalized, so that the data value ranges corresponding to the characteristics of the extracted keyword are consistent, the characteristic data of the extracted keyword are formed, a neural network model based on the formed characteristic data can be constructed, the commodity information matched with the neural network model can be searched in the e-commerce platform according to the constructed neural network model to obtain the commodity search result, the commodity search result can be displayed in the rank order according to the relevance degree as the commodity recommendation of the e-commerce platform, and the commodity search result can be obtained by performing the commodity search according to the keyword of the input information input by the user into the search box in the search engine of the e-commerce platform as the commodity recommendation of the e-commerce platform can be realized The method can improve the relevancy of the commodity search result, and is convenient for a user to quickly find the required commodity information through the commodity search result.
Furthermore, according to the scheme, at least one feature can be extracted from the extracted keyword, and normalization processing can be performed on the extracted at least one feature, so that the data value ranges corresponding to the features of the extracted keyword are consistent, and the feature data of the extracted keyword is formed.
Furthermore, according to the scheme, a search result structure and a rule can be defined according to the constructed neural network model, and according to the defined search result structure and rule, commodity information matched with the neural network model is searched in the E-commerce platform to obtain a commodity search result.
Furthermore, according to the scheme, the consumption demand of the consumer on the E-commerce platform can be obtained according to the behavior track of the user on the E-commerce platform, the commodity information related to the commodity search result displayed in the relevance sorting mode is pushed to the user according to the consumption demand, the commodity can be pushed to be sold according to the consumption demand of the user on the E-commerce platform and the input information currently input into the search box in the search engine of the E-commerce platform, and the sales volume of the commodity on the E-commerce platform can be increased.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a part of the embodiments of the present invention, and not intended to limit the scope of the present invention, and all equivalent devices or equivalent processes performed by the present invention through the contents of the specification and the drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A search-based E-commerce platform commodity recommendation method is characterized by comprising the following steps:
acquiring input information input into a search box in a search engine of an e-commerce platform by a user;
extracting keywords from the acquired input information in a natural language analysis mode;
performing normalization processing on the extracted keywords to enable data value ranges corresponding to all features of the extracted keywords to be consistent, and forming feature data of the extracted keywords;
constructing a neural network model based on the formed characteristic data;
searching commodity information matched with the neural network model in the E-commerce platform according to the built neural network model to obtain a commodity searching result;
and displaying the commodity search results in an order according to the relevance degree to serve as commodity recommendation of the E-commerce platform.
2. The search-based e-commerce platform commodity recommendation method according to claim 1, wherein the normalizing the extracted keyword to make the data value ranges corresponding to the features of the extracted keyword consistent to form the feature data of the extracted keyword comprises:
and extracting at least one feature from the extracted keywords, and performing normalization processing on the extracted at least one feature to make the data value ranges corresponding to the features of the extracted keywords consistent, so as to form feature data of the extracted keywords.
3. The search-based e-commerce platform commodity recommendation method according to claim 1, wherein the searching for the commodity information matching the neural network model in the e-commerce platform according to the constructed neural network model to obtain a commodity search result comprises:
defining a search result structure and a rule according to the constructed neural network model, and searching commodity information matched with the neural network model in the E-commerce platform according to the defined search result structure and the defined search result rule to obtain a commodity search result.
4. The search-based e-commerce platform commodity recommendation method of claim 1, wherein after the displaying of the commodity search results in the rank order of relevance as e-commerce platform commodity recommendations, further comprising:
and according to the behavior track of the user on the e-commerce platform, acquiring the consumption demand of the consumer on the e-commerce platform, and pushing commodity information associated with the commodity search results displayed in the sequence according to the relevancy to the user according to the consumption demand.
5. A search-based e-commerce platform commodity recommendation device is characterized by comprising:
the system comprises an acquisition module, an extraction module, a forming module, a construction module, a search module and a display module;
the acquisition module is used for acquiring input information input into a search box in a search engine of the e-commerce platform by a user;
the extraction module is used for extracting the keywords of the acquired input information in a natural language analysis mode;
the forming module is used for carrying out normalization processing on the extracted keywords so as to enable data value ranges corresponding to all features of the extracted keywords to be consistent, and feature data of the extracted keywords are formed;
the building module is used for building a neural network model based on the formed characteristic data;
the searching module is used for searching the commodity information matched with the neural network model in the E-commerce platform according to the constructed neural network model to obtain a commodity searching result;
and the display module is used for displaying the commodity search results in an order according to the relevance degree to serve as commodity recommendation of the E-commerce platform.
6. The search-based e-commerce platform commodity recommendation device of claim 5, wherein the forming module is specifically configured to:
and extracting at least one feature from the extracted keywords, and performing normalization processing on the extracted at least one feature to make the data value ranges corresponding to the features of the extracted keywords consistent, so as to form feature data of the extracted keywords.
7. The search-based e-commerce platform commodity recommendation device of claim 5, wherein the search module is specifically configured to:
defining a search result structure and a rule according to the constructed neural network model, and searching commodity information matched with the neural network model in the E-commerce platform according to the defined search result structure and the defined search result rule to obtain a commodity search result.
8. The search based e-commerce platform commodity recommendation device of claim 5, further comprising:
a push module;
the pushing module is used for acquiring the consumption demand of the consumer on the e-commerce platform according to the behavior track of the user on the e-commerce platform, and pushing the commodity information associated with the commodity search results displayed in the sequence according to the association degree to the user according to the consumption demand.
9. A search based e-commerce platform merchandise recommendation device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the search based e-commerce platform merchandise recommendation method of any one of claims 1-4.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the search based e-commerce platform merchandise recommendation method of any one of claims 1 to 4.
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