CN112685650A - Commodity searching method, system, equipment and readable storage medium - Google Patents
Commodity searching method, system, equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a commodity searching method, which comprises the following steps: classifying and marking the commodities in the commodity library according to a preset classification and weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels; determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in a commodity library according to the keyword to obtain a corresponding recall result; and filtering the commodities with the first-level descending tags in the recall result, and sending the filtered recall result to the terminal. According to the method and the device, the illegal commodity is marked by manual identification and is converted into machine identification and marking, so that the manpower resource is saved, the marking efficiency of the commodity is improved, and the efficiency and the accuracy of illegal commodity investigation are greatly improved. The application also provides a system, equipment and readable storage medium for commodity search, and the system, the equipment and the readable storage medium have the beneficial effects.
Description
Technical Field
The present application relates to the field of electronic commerce technologies, and in particular, to a method, a system, a device, and a readable storage medium for searching for a commodity.
Background
In the e-commerce platform, commodity search is a flow inlet which is of great interest to merchants, and in order to arrange their commodities forward, the merchants want to arrange their commodities forward by various means or methods. The method is characterized in that a large number of merchants are speculated and skillful by utilizing a search correlation algorithm, the titles of commodities are named as simple titles or overlapped words, and when the commodities with the titles appear on a search result home page, effective information for distinguishing the commodities is less for a user, so that the cost for screening the required commodities by the user is high, and the user experience is very poor.
Aiming at the violation condition which is not beneficial to the platform to search health degree, most of E-commerce platforms usually utilize a manual inspection mode to inspect and examine the commodities in an irregular inspection mode, and when the commodity quantity of the platform exponentially rises, the efficiency of manual inspection is difficult to cover the whole quantity of commodities.
Therefore, how to improve the efficiency and accuracy of illegal commodity inspection is a technical problem that needs to be solved by those skilled in the art at present.
Disclosure of Invention
The invention aims to provide a commodity searching method, a system, equipment and a readable storage medium, which are used for improving the efficiency and accuracy of illegal commodity investigation.
In order to solve the above technical problem, the present application provides a method for searching for a commodity, including:
classifying and marking the commodities in the commodity library according to a preset classification and weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels;
determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in the commodity library according to the keyword to obtain a corresponding recall result;
and filtering the commodities with the first-level descending token in the recall result, and sending the filtered recall result to the terminal.
Optionally, the tag of the article includes a second-level verification tag, and the sending the filtered recall result to the terminal includes:
calculating the title violation score of the commodity with the secondary descending token in the filtered recall result according to the formula W-N-N%;
calculating the commodity ranking score of each commodity in the filtered recall result according to a formula P-M-W;
sorting each commodity in the filtered recall result according to the sequence of the commodity sorting scores from high to low, and sending the sorted recall result to the terminal;
wherein, W is the title violation score of the commodity with the secondary descending token, N is the negative incentive score of the commodity with the secondary descending token, N% is the weight value, P is the commodity ranking score, and M is the conventional comprehensive weighting score.
Optionally, the classifying and marking of the commodities in the commodity library according to the preset classification and weight reduction rule includes:
and classifying and marking the commodities in the commodity library regularly according to the preset classification and weight reduction rule.
Optionally, the determining the corresponding keyword according to the commodity search command input by the terminal includes:
determining a corresponding search statement according to the commodity search command;
and splitting and converting the search sentence based on a preset word bank to obtain a corresponding keyword.
Optionally, after classifying and marking the commodities in the commodity library according to the preset classification and weight reduction rule, the method further includes:
determining a merchant to which the goods with the primary descending token belongs;
and reducing the score of the merchant and sending a corresponding commodity weight loss warning to the merchant.
Optionally, the method further includes:
and if the score of the merchant is lower than a first threshold value, sorting the commodities of the merchant and performing post-processing.
Optionally, the method further includes:
recording the number of times of sending the commodity right-reducing warning to the merchant;
and when the times exceed a second threshold value, carrying out store sealing processing on the merchant.
The present application also provides a system for commodity search, the system comprising:
the classified marking module is used for classifying and marking the commodities in the commodity library according to a preset classified weight reduction rule, and labels of the commodities comprise first-level weight reduction labels;
the first determining module is used for determining corresponding keywords according to a commodity searching command input by a terminal, and recalling commodity data in the commodity library according to the keywords to obtain corresponding recalling results;
and the filtering module is used for filtering the commodities with the first-level descending tags in the recall result and sending the filtered recall result to the terminal.
The present application also provides a commodity search apparatus, including:
a memory for storing a computer program;
a processor for implementing the steps of the method of item search as defined in any one of the above when said computer program is executed.
The present application also provides a readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method of item searching as defined in any one of the above.
The commodity searching method provided by the application comprises the following steps: classifying and marking the commodities in the commodity library according to a preset classification and weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels; determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in a commodity library according to the keyword to obtain a corresponding recall result; and filtering the commodities with the first-level descending tags in the recall result, and sending the filtered recall result to the terminal.
According to the technical scheme provided by the application, the commodities in the commodity library are marked in a classified mode according to a preset classified right-reducing rule, and labels of the commodities comprise first-level right-reducing labels; determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in a commodity library according to the keyword to obtain a corresponding recall result; the commodities with the first-level descending tags are filtered in the recall result, so that the illegal commodities are changed from manual identification marking to machine identification marking, the marking efficiency of the commodities is improved while human resources are saved, and the efficiency and accuracy of troubleshooting of the illegal commodities are greatly improved. The application also provides a system, equipment and a readable storage medium for commodity search, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for searching for a commodity according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a system for searching for a product according to an embodiment of the present disclosure;
fig. 3 is a structural diagram of a product search device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a commodity searching method, a system, equipment and a readable storage medium, which are used for improving the efficiency and the accuracy of illegal commodity investigation.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a method for searching for a commodity according to an embodiment of the present disclosure.
The method specifically comprises the following steps:
s101: classifying and marking the commodities in the commodity library according to a preset classification and weight reduction rule;
based on the fact that most E-commerce platforms in the prior art usually utilize a manual inspection mode to irregularly inspect illegal commodities and freeze, off-shelf or search for right reduction treatment on the inspected illegal commodities, the treatment means is simple and rough, the efficiency is low, and the delay is relatively high. Meanwhile, when the commodity quantity of the platform rises exponentially, the efficiency of manual inspection is difficult to cover the full quantity of commodities. Therefore, the present application provides a method for searching for a commodity, which is used for solving the above problems.
The label in the marking is the meaning of a label, the marking is that the E-commerce platform marks an exclusive label for the commodity, in the application, the label of the commodity comprises a first-level descending label, the first-level descending label is used for judging whether the commodity is an illegal commodity, namely after the commodity in a commodity library is classified and marked according to a preset classification descending rule, if the label of a certain commodity is the first-level descending label, the commodity can be judged to be the illegal commodity.
In this step, the preset hierarchical right-reducing rule mentioned here may be set by the user, or may be set by the e-commerce platform according to industry experience or rules, which is not specifically limited in this application; meanwhile, the acquisition mode of the preset grading power-down rule can be input by a user or obtained by downloading the system connected to a specified position, and the acquisition mode of the preset grading power-down rule is not limited in the application;
in an embodiment, the preset hierarchical power reduction rule mentioned herein may specifically be:
when the number of the commodity titles is less than a specified threshold (for example, 3), or 2 or more AB/ABB/ABC/AA/AAB/ABCD/ABCDE type combinations exist in the titles, the commodity titles are judged to be weighted down one level. For example: the labels of the commodities with the titles of 'mask', 'air-conditioning', 'desk double desk', 'law enforcement recorder' can be marked as first-level falling right labels.
In a specific embodiment, when a modification command is received, the modification command can be executed to modify the preset grading and weight-reducing rule, and then the modified preset grading and weight-reducing rule is used to re-classify and mark the commodities in the commodity library.
Optionally, most of e-commerce platforms in the prior art often utilize the manual inspection mode to irregularly inspect and examine such commodities, which may lead to the situation that illegal commodities are not inspected and examined for a long time and illegal commodities are inspected and examined for many times in a short time, so in order to balance the inspection and examination frequency of illegal commodities, commodities in a commodity library can be classified and marked regularly, namely, the commodities in the commodity library are classified and marked according to the preset classification weight reduction rule, which specifically can be that:
and classifying and marking the commodities in the commodity library regularly according to a preset classification and weight reduction rule.
S102: determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in a commodity library according to the keyword to obtain a corresponding recall result;
the recalled commodity data mentioned here can be understood as that a small candidate set is selected for the user to roughly select a batch of contents to be recommended in massive information according to the historical behavior data of the user, which is equivalent to rough sorting;
when a user inputs a commodity name at a terminal, the terminal generates a corresponding commodity searching command according to the commodity name and sends the commodity searching command to the system, at the moment, the system determines a corresponding keyword according to the commodity searching command, and recalls commodity data in a commodity library according to the keyword to obtain a corresponding recall result.
Optionally, since the search content input by the user may be a keyword (e.g., a mobile phone, a wallet, etc.) or a phrase composed of several keywords (e.g., a white millet mobile phone, a black genuine leather wallet, etc.), when the content input by the user is a phrase composed of several keywords, the keyword mentioned herein is determined according to the commodity search command input by the terminal, and specifically, the keyword may be:
determining a corresponding search statement according to the commodity search command;
and splitting and converting the search sentences based on a preset word bank to obtain corresponding keywords.
S103: and filtering the commodities with the first-level descending tags in the recall result, and sending the filtered recall result to the terminal.
Optionally, the labels of the commodities can also include a secondary falling-weight label, and in the application, the secondary falling-weight label is used for managing the ordering of the commodities, that is, after the commodities in the commodity library are classified and marked according to a preset classification falling-weight rule, if the label of a certain commodity is the secondary falling-weight label, the ordering of the commodity can be controlled to be delayed as a penalty.
In an embodiment, the preset hierarchical power reduction rule mentioned herein may specifically be:
and marking the label of the commodity with the number of the title characters of the commodity being less than a specified threshold (for example, 7) as a secondary weight-reducing label.
On the basis of the foregoing embodiment, in an embodiment, the sending the filtered recall result to the terminal specifically may be:
calculating the title violation score of the commodity with the secondary weight-reducing label in the filtered recall result according to a formula W-N-N%;
calculating the commodity ranking score of each commodity in the filtered recall result according to a formula P-M-W;
sequencing each commodity in the filtered recall result according to the sequence of commodity sequencing scores from high to low, and sending the sequenced recall result to a terminal;
wherein W is a title violation score of the commodity with the secondary weight-reducing label, N is a negative excitation score of the commodity with the secondary weight-reducing label, N% is a weight value, P is a commodity sequencing score, and M is a conventional comprehensive weighting score.
On the basis of the above embodiment, in a specific embodiment, after the goods in the goods library are marked by classification according to the preset classification weight-reducing rule, the following steps may be further performed to realize the penalty of the merchant to which the goods with the first-level weight-reducing token belongs:
determining a merchant to which the commodity with the first-level right-reducing label belongs;
and reducing the score of the merchant and sending a corresponding commodity weight loss warning to the merchant.
On the basis, if the score of the merchant is lower than the first threshold value, the commodities of the merchant can be sorted and processed later.
On the basis, the number of times of sending the commodity right-reducing warning to the merchant can be recorded, and when the number of times exceeds a second threshold value, the merchant is subjected to store sealing processing.
Based on the technical scheme, the method for searching the commodities, provided by the application, is used for carrying out classification marking on the commodities in the commodity library according to a preset classification and weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels; determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in a commodity library according to the keyword to obtain a corresponding recall result; the commodities with the first-level descending tags are filtered in the recall result, so that the illegal commodities are changed from manual identification marking to machine identification marking, the marking efficiency of the commodities is improved while human resources are saved, and the efficiency and accuracy of troubleshooting of the illegal commodities are greatly improved.
Referring to fig. 2, fig. 2 is a structural diagram of a system for searching for a commodity according to an embodiment of the present disclosure.
The system may include:
the classified marking module 100 is used for classifying and marking the commodities in the commodity library according to a preset classified weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels;
a first determining module 200, configured to determine a corresponding keyword according to a commodity search command input by a terminal, and recall commodity data in a commodity library according to the keyword to obtain a corresponding recall result;
and the filtering module 300 is configured to filter out the commodities with the first-level descending tags from the recall result, and send the filtered recall result to the terminal.
Based on the foregoing embodiments, in a specific embodiment, the label of the article includes a two-level degrade label, and the filtering module 300 may include:
the first calculation submodule is used for calculating the title violation scores of the commodities with the secondary weight-reducing labels in the filtered recall result according to the formula W ═ N × N%;
the second calculation submodule is used for calculating the commodity ranking score of each commodity in the filtered recall result according to the formula P-M-W;
the sorting submodule is used for sorting each commodity in the filtered recall result according to the sequence of commodity sorting from high to low and sending the sorted recall result to the terminal;
wherein W is a title violation score of the commodity with the secondary weight-reducing label, N is a negative excitation score of the commodity with the secondary weight-reducing label, N% is a weight value, P is a commodity sequencing score, and M is a conventional comprehensive weighting score.
Based on the above embodiments, in a specific embodiment, the sorting and marking module 100 may include:
and the classified marking submodule is used for regularly classifying and marking the commodities in the commodity library according to the preset classified weight reduction rule.
On the basis of the foregoing embodiment, in a specific embodiment, the first determining module 200 may include:
the determining submodule is used for determining a corresponding search statement according to the commodity search command;
and the splitting sub-module is used for splitting and converting the search sentences based on the preset word bank to obtain corresponding keywords.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
the second determining module is used for determining the merchant to which the commodity with the first-level right-reducing label belongs;
and the reducing module is used for reducing the grade of the merchant and sending a corresponding commodity weight reducing warning to the merchant.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
and the first processing module is used for sorting and post-processing the commodities of the merchants if the scores of the merchants are lower than a first threshold value.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
the recording module is used for recording the times of sending commodity right-reducing warning to the merchant;
and the second processing module is used for sealing the merchant when the times exceed a second threshold value.
Since the embodiment of the system part corresponds to the embodiment of the method part, the embodiment of the system part is described with reference to the embodiment of the method part, and is not repeated here.
Referring to fig. 3, fig. 3 is a structural diagram of a product searching apparatus according to an embodiment of the present disclosure.
The merchandise search device 400 may vary significantly depending on configuration or performance, and may include one or more processors (CPUs) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein the memory 432 and storage medium 430 may be transient or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a sequence of instruction operations for the device. Still further, the processor 422 may be configured to communicate with the storage medium 430 to execute a series of instruction operations in the storage medium 430 on the article search device 400.
The article search apparatus 400 may also include one or more power supplies 424, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, and/or one or more operating systems 441, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
The steps in the method of article search described above in fig. 1 are implemented by an article search apparatus based on the structure shown in fig. 3.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules 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 modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function calling device, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The method, system, device and readable storage medium for searching for a commodity provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method of merchandise searching, comprising:
classifying and marking the commodities in the commodity library according to a preset classification and weight reduction rule, wherein labels of the commodities comprise first-level weight reduction labels;
determining a corresponding keyword according to a commodity search command input by a terminal, and recalling commodity data in the commodity library according to the keyword to obtain a corresponding recall result;
and filtering the commodities with the first-level descending token in the recall result, and sending the filtered recall result to the terminal.
2. The method of claim 1, wherein the label of the item comprises a two-level-down label, and wherein sending the filtered recall result to the terminal comprises:
calculating the title violation score of the commodity with the secondary descending token in the filtered recall result according to the formula W-N-N%;
calculating the commodity ranking score of each commodity in the filtered recall result according to a formula P-M-W;
sorting each commodity in the filtered recall result according to the sequence of the commodity sorting scores from high to low, and sending the sorted recall result to the terminal;
wherein, W is the title violation score of the commodity with the secondary descending token, N is the negative incentive score of the commodity with the secondary descending token, N% is the weight value, P is the commodity ranking score, and M is the conventional comprehensive weighting score.
3. The method according to claim 1, wherein the classifying and marking the commodities in the commodity library according to the preset classification and weight reduction rule comprises:
and classifying and marking the commodities in the commodity library regularly according to the preset classification and weight reduction rule.
4. The method according to claim 1, wherein the determining the corresponding keyword according to the commodity search command input by the terminal comprises:
determining a corresponding search statement according to the commodity search command;
and splitting and converting the search sentence based on a preset word bank to obtain a corresponding keyword.
5. The method according to any one of claims 1 to 4, wherein after the step of marking the commodities in the commodity library according to the preset grading and weight-reducing rule, the method further comprises the following steps:
determining a merchant to which the goods with the primary descending token belongs;
and reducing the score of the merchant and sending a corresponding commodity weight loss warning to the merchant.
6. The method of claim 5, further comprising:
and if the score of the merchant is lower than a first threshold value, sorting the commodities of the merchant and performing post-processing.
7. The method of claim 5, further comprising:
recording the number of times of sending the commodity right-reducing warning to the merchant;
and when the times exceed a second threshold value, carrying out store sealing processing on the merchant.
8. A system for merchandise searching, comprising:
the classified marking module is used for classifying and marking the commodities in the commodity library according to a preset classified weight reduction rule, and labels of the commodities comprise first-level weight reduction labels;
the first determining module is used for determining corresponding keywords according to a commodity searching command input by a terminal, and recalling commodity data in the commodity library according to the keywords to obtain corresponding recalling results;
and the filtering module is used for filtering the commodities with the first-level descending tags in the recall result and sending the filtered recall result to the terminal.
9. An article search device characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of item searching as claimed in any one of claims 1 to 7 when executing the computer program.
10. A readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of item searching according to any one of claims 1 to 7.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103455476A (en) * | 2012-05-29 | 2013-12-18 | 阿里巴巴集团控股有限公司 | Processing method and device for network information and establishing method and device for abstract syntax tree |
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Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103455476A (en) * | 2012-05-29 | 2013-12-18 | 阿里巴巴集团控股有限公司 | Processing method and device for network information and establishing method and device for abstract syntax tree |
Non-Patent Citations (1)
Title |
---|
LANKEFIELD: "淘宝搜索违规规则整理-掌柜必读", 《百度文库》 * |
Cited By (1)
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---|---|---|---|---|
CN113806519A (en) * | 2021-09-24 | 2021-12-17 | 金蝶软件(中国)有限公司 | Search recall method, device and medium |
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