Item information monitoring method, device, equipment and computer-readable storage medium

Abstract

The present application provides an item information monitoring method, device, equipment and computer-readable storage medium; the method includes: the item information monitoring device obtains the current item information described in the item description page; the current item information includes at least one of the following: the current item title, the current item picture, the current item attribute and the current item value; at least one analysis module performs violation analysis on the current item information to obtain at least one dimension analysis data; at least one analysis module corresponds to at least one of the current item information; at least one dimension analysis data is used to characterize the change information of the current item information; when at least one dimension analysis data meets the preset violation condition, the item is determined to be a violation item. Through the present application, the monitoring accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an item information monitoring method, device, equipment and computer-readable storage medium. Background Art

[0002] With the improvement of living standards, people have higher and higher requirements for material life, and purchasing items through online shopping platforms has gradually become an important way for people to shop; however, on online shopping platforms, there may be violations such as the original items being replaced with other items. Therefore, it is necessary to monitor the item information, screen out the illegal items, and then rectify the illegal items to purify the online shopping platform environment. However, there are usually a large number of items for sale on online shopping platforms, and illegal items may be missed in screening, resulting in the illegal items not being rectified in time, affecting the online shopping platform environment. Summary of the invention

[0003] The embodiments of the present application provide an item information monitoring method, device, equipment and computer-readable storage medium, which improve the accuracy of monitoring.

[0004] The technical solution of the embodiment of the present application is implemented as follows:

[0005] The present application provides an object information monitoring method, including:

[0006] Obtain current item information described in an item description page; wherein the current item information includes at least one of the following: current item title, current item picture, current item attributes and current item value; perform violation analysis on the current item information through at least one analysis module to obtain at least one dimensional analysis data; at least one dimensional analysis data is used to characterize change information of the current item information; wherein the at least one analysis module has a one-to-one correspondence with at least one of the current item information; when the at least one dimensional analysis data satisfies a preset violation condition, determine that the item is a violation item.

[0007] The present application provides an object information monitoring device, including:

[0008] An acquisition module is used to acquire the current item information described in the item description page; wherein the current item information includes at least one of the following: a current item title, a current item picture, current item attributes and a current item value; at least one analysis module is used to perform violation analysis on the current item information to obtain at least one dimensional analysis data; at least one dimensional analysis data is used to characterize change information of the current item information; wherein the at least one analysis module has a one-to-one correspondence with at least one of the current item information; a determination module is used to determine that the item is a violation item when the at least one dimensional analysis data satisfies a preset violation condition.

[0009] The present application provides an item information monitoring device, including:

[0010] A memory for storing executable instructions;

[0011] The processor is used to implement the method provided in the embodiment of the present application when executing the executable instructions stored in the memory.

[0012] An embodiment of the present application provides a computer-readable storage medium storing executable instructions for implementing the object information monitoring method provided in the embodiment of the present application when executed by a processor.

[0013] The embodiments of the present application have the following beneficial effects:

[0014] The embodiments of the present application provide an item information monitoring method, apparatus, device and computer-readable storage medium, wherein the item information monitoring apparatus obtains current item information described in an item description page; the current item information includes at least one of the following: current item title, current item picture, current item attributes and current item value; the current item information is subjected to violation analysis by at least one analysis module to obtain at least one dimensional analysis data; at least one dimensional analysis data is used to characterize change information of the current item information; wherein at least one analysis module corresponds one-to-one to at least one of the current item information; when at least one dimensional analysis data satisfies a preset violation condition, the item is determined to be a violation item; that is, the item information monitoring apparatus can monitor a variety of current item information, thereby improving monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is an optional structural diagram of the object information monitoring system architecture provided in the embodiment of the present application;

[0016] Figure 2 This is an optional structural diagram of an item information monitoring device provided in an embodiment of the present application;

[0017] Figure 3This is an optional flowchart of the method for monitoring item information provided in the embodiment of the present application;

[0018] Figure 4 This is an optional flowchart of the method for monitoring item information provided in the embodiment of the present application;

[0019] Figure 5 This is an optional flowchart of the method for monitoring item information provided in the embodiment of the present application;

[0020] Figure 6 This is an optional flowchart of the method for monitoring item information provided in the embodiment of the present application;

[0021] Figure 7 This is an optional flowchart of the method for monitoring item information provided in the embodiment of the present application;

[0022] Figure 8 It is an optional flow chart of the object information monitoring method provided in the embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0024] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it can be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0025] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described here can be implemented in an order other than that illustrated or described here.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0027] There are various items for sale on online shopping platforms. Users can view the relevant information of each item through the item description page, such as title, picture, video, price, comments, etc., and select items to purchase. Such information of items can be set by merchants. In this way, if a certain item has good sales and has accumulated a large number of user comments and reputation, if the merchant modifies part of the information on the description page of the item and replaces the item with other items, it will cause users to take the reputation of the item as the reputation of other items, misleading users to purchase other items and affecting users' purchasing experience. Other items will be illegal goods.

[0028] At present, for the above-mentioned illegal items, the staff of the online shopping platform are required to manually monitor the information in the item description page to screen out the illegal items. However, the manual screening method has low screening efficiency and is not conducive to the monitoring of items.

[0029] The embodiments of the present application provide an item information monitoring method, apparatus, device, and computer-readable storage medium, which can improve monitoring accuracy. The following describes an exemplary application of the item information monitoring device provided by the embodiments of the present application. The device provided by the embodiments of the present application can be implemented as various types of user terminals such as laptops, tablet computers, desktop computers, set-top boxes, mobile devices (e.g., mobile phones, portable music players, personal digital assistants, dedicated messaging devices, portable gaming devices), and can also be implemented as servers. Below, an exemplary application when the device is implemented as a terminal will be described.

[0030] See also Figure 1 , Figure 1 It is an optional architectural diagram of the item information monitoring system 100 provided in an embodiment of the present application. To support an item information monitoring application, the terminal 400 (terminal 400-1 and terminal 400-2 are shown as examples) is connected to the server 200 via the network 300. The network 300 can be a wide area network or a local area network, or a combination of the two.

[0031] The terminal 400 is used to obtain the current item information described in the item description page; wherein the current item information includes at least one of the following: the current item title, the current item picture, the current item attribute and the current item value; the current item information is analyzed for violations through at least one analysis module to obtain at least one dimension analysis data; wherein at least one analysis module corresponds one-to-one with at least one of the current item information; at least one dimension analysis data is used to characterize the change information of the current item information; when at least one dimension analysis data satisfies the preset violation condition, the item is determined to be a violation item. Based on the monitoring process of the above-mentioned item information, the monitoring result of the item information, that is, whether the item is a violation item, is displayed in the graphical interface 410 (graphical interface 410-1 and graphical interface 410-2 are shown as examples). The server 200 is used to provide monitoring data support to the terminal 400 through the current item information stored in the database 500.

[0032] In some embodiments, the server 200 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal 400 may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal and the server may be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiments of the present application.

[0033] See also Figure 2 , Figure 2 is a schematic diagram of the structure of a terminal 400 for monitoring item information provided in an embodiment of the present application. Figure 2 The terminal 400 shown includes: at least one processor 410, a memory 450, at least one network interface 420 and a user interface 430. The various components in the terminal 400 are coupled together via a bus system 440. It is understood that the bus system 440 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 440 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, the bus system 440 is not shown in FIG. Figure 2 Various buses are labeled as bus system 440 .

[0034] Processor 410 can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., where the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0035] The user interface 430 includes one or more output devices 431 that enable presentation of media content, including one or more speakers and / or one or more visual display screens. The user interface 430 also includes one or more input devices 432, including user interface components that facilitate user input, such as a keyboard, mouse, microphone, touch screen display, camera, other input buttons and controls.

[0036] The memory 450 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard disk drives, optical disk drives, etc. The memory 450 may optionally include one or more storage devices that are physically remote from the processor 410.

[0037] The memory 450 includes a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), and the volatile memory may be a random access memory (RAM). The memory 450 described in the embodiments of the present application is intended to include any suitable type of memory.

[0038] In some embodiments, memory 450 can store data to support various operations, examples of which include programs, modules, and data structures, or a subset or superset thereof, as exemplarily described below.

[0039] Operating system 451, including system programs for processing various basic system services and performing hardware-related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks;

[0040] A network communication module 452, for reaching other computing devices via one or more (wired or wireless) network interfaces 420, exemplary network interfaces 420 include: Bluetooth, Wireless Fidelity (Wi-Fi), and Universal Serial Bus (USB);

[0041] a presentation module 453 for enabling presentation of information via one or more output devices 431 (e.g., display screen, speaker, etc.) associated with the user interface 430 (e.g., a user interface for operating peripherals and displaying content and information);

[0042] The input processing module 454 is used to detect one or more user inputs or interactions from one of the one or more input devices 432 and translate the detected inputs or interactions.

[0043] In some embodiments, the device provided in the embodiments of the present application can be implemented in software. Figure 2 An item information monitoring device 455 stored in a memory 450 is shown, which may be software in the form of a program or plug-in, including the following software modules: an acquisition module 4551, at least one analysis module 4552, and a determination module 4553. These modules are logical and can therefore be arbitrarily combined or further split according to the functions implemented.

[0044] The functions of each module will be described below.

[0045] In other embodiments, the device provided in the embodiments of the present application can be implemented in hardware. As an example, the device provided in the embodiments of the present application can be a processor in the form of a hardware decoding processor, which is programmed to execute the item information monitoring method provided in the embodiments of the present application. For example, the processor in the form of a hardware decoding processor can adopt one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs), or other electronic components.

[0046] The object information monitoring method provided in the embodiment of the present application will be explained in combination with the exemplary application and implementation of the terminal provided in the embodiment of the present application.

[0047] See also Figure 3 , Figure 3 is an optional flow chart of the method for monitoring item information provided in the embodiment of the present application, which will be combined with Figure 3 The steps shown are explained.

[0048] S101, obtaining the current item information described in the item description page; the current item information includes at least one of the following: the current item title, the current item picture, the current item attributes and the current item value;

[0049] In an embodiment of the present application, when monitoring item information, the item information monitoring device needs to obtain the current item information described in the item description page, and determine whether the item is an illegal item based on the current item information; the current item information is at least one item information in the current description page.

[0050] In an embodiment of the present application, the current item information may include at least one of the following: current item title, current item picture, current item attributes, current item value, current item comments, current item order record, etc., which is not limited by the embodiment of the present application.

[0051] It should be noted that the current item picture in the item description page may include one picture or multiple pictures; when the item description page includes multiple pictures, the item picture in the current item information obtained by the item information monitoring device may be all pictures among the multiple pictures or a preset picture among the multiple pictures, for example, the first picture among the multiple pictures is the main picture of the item.

[0052] In an embodiment of the present application, the current item attributes may include the color of the item, the material of the item, the size of the item, the brand of the item, etc.; here, the item information monitoring device can obtain all attributes of the item, or it can obtain the preset attributes of the item, and this embodiment of the present application does not limit this.

[0053] In the embodiment of the present application, for items of different categories, the current item attributes obtained may be the same or different, and the embodiment of the present application does not limit this.

[0054] For example, if the item is food, the current item attributes may include item material, item weight, item shelf life, item brand, etc.; if the item is clothing, the current item attributes may include item color, item origin, item brand, item size, item material, etc.

[0055] In an embodiment of the present application, the item information monitoring device can obtain the current item information once at a preset time interval; it can also obtain the current item information when it detects that the item description page has been modified; wherein the preset time interval can be set as needed, and this embodiment of the present application does not limit this.

[0056] S102, performing violation analysis on the current item information through at least one analysis module to obtain at least one dimension analysis data; wherein at least one analysis module corresponds to at least one of the current item information one by one; and at least one dimension analysis data is used to characterize change information of the current item information;

[0057] In an embodiment of the present application, after the item information monitoring device obtains the current item information, it performs violation analysis on it through at least one analysis module to obtain change information of the current item information; wherein the change information of the current item information includes the change status of the current item information, such as whether a change has occurred and / or the degree of change, whether key information in the current item information has changed and / or the degree of change, whether the current item information includes violation information, etc.

[0058] In an embodiment of the present application, an analysis module is used to perform a corresponding violation analysis on a current commodity information corresponding to the current item information, and each analysis module in at least one analysis module will obtain corresponding one or more dimensional analysis data.

[0059] Exemplarily, at least one item information acquired by the item information monitoring device includes an item title and an item comment; the item information monitoring device can perform a violation analysis on the item title through a first analysis module in at least one analysis module, and perform a violation analysis on the item comment through a second analysis module; wherein the first analysis module is an analysis module for analyzing item titles, and the second analysis module is a module for analyzing item comments.

[0060] In some embodiments of the present application, at least one analysis module may analyze whether at least one type of current item information corresponding to the current item information includes violation information to obtain at least one dimensional analysis data.

[0061] Exemplarily, the item information monitoring device includes an analysis module, which is used to analyze the item title and set the violation information in the item title to "not for sale" and / or "deposit"; after the item information monitoring device obtains the item title, the analysis module can be used to analyze whether the current item title includes "not for sale" and / or "deposit", and the obtained analysis data may be that the current item title includes violation information, or the current item title does not include violation information.

[0062] In some embodiments of the present application, at least one analysis module may also analyze whether at least one corresponding item information in the current item information has changed and / or the degree to which the current item information has changed, thereby obtaining analysis data.

[0063] In an embodiment of the present application, at least one analysis module can obtain original item information, compare and analyze the item information with corresponding original item information, and obtain at least one dimensional analysis data.

[0064] In an embodiment of the present application, the original item information may be item information on an original description page of the item; wherein the original description page may be a description page initially generated on an online shopping platform.

[0065] Exemplarily, the item information monitoring device includes an analysis module, which is used to analyze the item title. The item information monitoring device compares and analyzes the current item title and the original item title through the analysis module to determine the similarity between the current item title and the original item title. The similarity is the analysis data obtained by the analysis module.

[0066] It should be noted that different analysis modules perform violation analysis on different current item information, and the analysis method of each analysis module may be the same or different, and the embodiments of the present application do not limit this.

[0067] Exemplarily, the item information monitoring device includes two analysis modules, wherein the first analysis module is used to analyze the item title, and the second analysis module is used to analyze the item review; the first analysis module can be used to analyze whether the current item title includes title violation information, and the second analysis module can be used to analyze whether the current item review includes pre-set comment violation information; or, the first analysis module is used to analyze the similarity between the current item title and the original item title, and the second analysis module is used to analyze whether the current item review includes pre-set comment violation information.

[0068] S103: When at least one dimension analysis data satisfies a preset violation condition, determine that the item is a violation item.

[0069] In an embodiment of the present application, after obtaining at least one dimensional analysis data, the item information monitoring device can determine whether the item is an illegal item based on the at least one dimensional analysis data.

[0070] In an embodiment of the present application, a preset violation condition is set in the item information monitoring device. The item information monitoring device can determine that an item is a violating item when the data analyzed in at least one dimension meets the preset violation condition.

[0071] In some embodiments of the present application, the preset violation conditions include at least one violation condition, and different violation conditions are used for analyzing data in different dimensions; the item information monitoring device can determine that the item is a violating item when any one dimensional analysis data in at least one dimensional analysis data satisfies a corresponding violation condition; it can also determine that the item is a violating item when at least two dimensional analysis data satisfy their respective corresponding violation conditions, and the embodiments of the present application are not limited to this.

[0072] Exemplarily, the analysis data obtained by the item information monitoring device includes that the similarity between the current item title and the original item title is 70%, the similarity between the current item picture and the original item picture is 90%, the violation condition of the item title similarity is less than 50%, and the violation condition of the item picture similarity is less than 70%, then the item title satisfies the corresponding violation condition, and the item picture does not satisfy the corresponding violation condition; if the item information monitoring device determines that the item is a violating item only when both the item title and the item picture satisfy their respective corresponding violation conditions, then the item is not a violating item.

[0073] In some embodiments of the present application, the preset violation conditions include at least one analysis condition and a violation weight corresponding to at least one dimensional analysis data; the item information monitoring device can determine the violation result of the item in the corresponding dimension when the at least one dimensional analysis data satisfies the corresponding at least one analysis condition; and determine whether the item is a violation item based on the dimension of the violation and the corresponding violation weight.

[0074] Exemplarily, the analysis data obtained by the item information monitoring device includes: the current item title includes illegal information, and the similarity between the current item picture and the original item picture is 80%; the violation condition of the item title is that the current item title includes illegal information, and the violation condition of the item picture similarity is less than 70%, then the violation result of the item in the title dimension is title violation, and the violation result of the item in the picture dimension is that the picture is not illegal; if the violation weight of the title dimension is 100%, that is, the title is illegal, then the item is an illegal item; if the violation weight of the title dimension is 50%, then the title violation cannot determine that the item is an illegal item.

[0075] In the embodiments of the present application, the preset violation conditions can be set as needed, and the present application does not limit this. For example, different preset violation conditions can be set for different items, different preset violation conditions can be set for different categories of items, different preset violation conditions can be set in different time periods, etc.

[0076] It can be understood that after the item information monitoring device obtains the current commodity information described in the item description page, it can perform violation analysis on at least one corresponding current item information in the current item information through at least one analysis module to obtain at least one dimensional analysis data; when at least one dimensional analysis data meets the preset violation condition, the item is determined to be a violation item; thereby, the violation items can be screened by at least one current item information in the current item information, thereby improving the monitoring accuracy.

[0077] In some embodiments of the present application, the current item information includes a current title; the at least one analysis module includes a title analysis module; S102 performs violation analysis on the current item information by at least one analysis module to obtain at least one dimension analysis data, which may include S201 and / or S202:

[0078] S201, determining whether the current item title contains any illegal information through a title analysis module, and obtaining a title determination result; at least one dimension analysis data includes the title determination result;

[0079] In an embodiment of the present application, the title analysis module can determine whether the current item title contains illegal information, and the obtained title judgment result includes: the current item title contains illegal information, or the current item title does not contain illegal information; the title judgment result is used as a dimension to analyze the data.

[0080] In an embodiment of the present application, the violation information may be a single word, a phrase or a sentence. After the item information monitoring device obtains the current item title, it may extract the single word, phrase or sentence in the title and compare it with the violation information. If any one of the extracted single words, phrases or sentences matches the violation information, it may be determined that the current item title contains violation information.

[0081] S202. Compare the current item title with the original item title through a title analysis module to obtain title similarity between the current item title and the original item title; at least one dimension analysis data includes title similarity.

[0082] In an embodiment of the present application, the title analysis module can compare the current item title with the original item title to obtain the title similarity between the current item title and the original item title, and characterize the degree of change of the current item title compared with the original item title through the title similarity; and use the title similarity as a dimension to analyze the data.

[0083] In the embodiment of the present application, the title similarity can be obtained based on the distance between vectors obtained based on word vectors, or can be based on the number of common characters, or can be the Jaccard similarity coefficient of probabilistic statistics, etc., and the embodiment of the present application does not limit this.

[0084] In the embodiment of the present application, the distance between vectors may be cosine distance, Euler distance, Manhattan distance, Euclidean distance, etc., and the embodiment of the present application does not limit this.

[0085] In some embodiments of the present application, in S202, the title analysis module compares the current item title with the original item title to obtain the title similarity between the current item title and the original item title, such as Figure 4 As shown, it may include:

[0086] S2021. Perform text analysis on the current item title and the original item title through a title analysis module to obtain a feature vector of the current item title and a feature vector of the original item title;

[0087] In an embodiment of the present application, a natural language processing model is provided in the title analysis module, and the current item title and the original item title are analyzed by the natural language processing model to obtain a feature vector of the current item title and a feature vector of the original item title.

[0088] In the embodiment of the present application, the natural language processing model is used to extract the features of the text. Here, the natural language processing model can be a transformer, a bidirectional encoder representation based on a transformer (Bidirectional Encoder Representations from Transformers, BERT), a recurrent neural network (Recurrent Neural Network, RNN), a convolutional neural network (Convolution Neural Network, CNN), an embedding model based on a language model (Embeddings from Language Model, ELMo), a memory network, etc., and this embodiment of the present application is not limited to this.

[0089] In some embodiments of the present application, the natural language processing model may be BERT, which uses a combination of pre-training and fine-tuning. When applied in the embodiments of the present application, good accuracy can be guaranteed without major modifications and retraining.

[0090] S2022. Calculate the cosine distance between the feature vector of the current item title and the feature vector of the original item title, and use the cosine distance as the title similarity.

[0091] After obtaining the feature vector of the current article title and the feature vector of the original article title, the article information monitoring device calculates the cosine distance between the two vectors, and uses the cosine distance to represent the similarity between the current article title and the original article title.

[0092] In the embodiment of the present application, the feature vector of the current item title and the feature vector of the original item title are represented by x(n) and y(n) respectively, and the angle between x(n) and y(n) is represented by θ. Then, the cosine distance is calculated as shown in formula (1).

[0093]

[0094] Where n is a positive integer; x i represents the i-th element in x(n), y i Represents the i-th element in y(n).

[0095] In some embodiments of the present application, the current item information includes: a current item picture; the at least one analysis module includes: an image analysis module; S102 performs violation analysis on the current item information by at least one analysis module to obtain at least one dimension analysis data, such as Figure 5 As shown, it may include:

[0096] S301, performing image analysis on the current item image and the original item image through an image analysis module to obtain a feature vector of the current item image and a feature vector of the original item image;

[0097] In the embodiment of the present application, the image analysis module is provided with a model for extracting image features, for example, deep convolutional neural networks VGG16 and VGG19 developed by the Visual Geometry Group of the University of Oxford, mobile net, etc. Through this model, the feature vector of the current object image and the feature vector of the original object image can be extracted.

[0098] In some embodiments of the present application, VGG19 is provided in the image analysis module. After the current object image and the original object image are input into VGG19, the output of the last pooling layer is used as the feature representation to generate a feature vector of the current object image and a feature vector of the original object image.

[0099] It should be noted that VGG19 is pre-trained on the basis of the common dataset image network (image net), and then fine-tuned through a preset dataset.

[0100] Among them, the preset data set can be selected as needed, and this embodiment of the present application does not limit this.

[0101] In an embodiment of the present application, for different feature extraction requirements, different preset data sets can be set to fine-tune VGG19 to achieve the expected feature extraction effect.

[0102] S302, calculating the cosine distance between the feature vector of the current item image and the feature vector of the original item image, and using the cosine distance as the image similarity between the current item image and the original item image; at least one dimension of analyzing the data includes title similarity.

[0103] In an embodiment of the present application, after extracting the feature vector of the current object image and the feature vector of the original object image, the image analysis module can calculate the cosine distance between the two vectors to characterize the image similarity between the current object image and the original object image. The method for calculating the similarity is as described in S2021 and will not be repeated here.

[0104] In some embodiments of the present application, the image similarity may also be the Euler distance between the feature vector of the current item image and the feature vector of the original item image, or the Manhattan distance, Euclidean distance, etc., which is not limited in the embodiments of the present application.

[0105] In some embodiments of the present application, the current item information includes: the current item attributes; the current item attributes include at least one attribute information; at least one analysis module includes: an attribute analysis module; the item information monitoring device can use the attribute analysis module to judge whether the preset attribute information in at least one attribute information is the same as the corresponding original item attribute information, and obtain an attribute judgment result; at least one dimensional analysis data includes the attribute judgment result.

[0106] In the embodiment of the present application, after obtaining the current item attribute, the item information monitoring device obtains at least one attribute information, and then determines whether the preset attribute information is the same as the corresponding original item attribute information, and obtains the attribute judgment result that the preset attribute information is the same as the corresponding original item attribute information, or at least the preset attribute information is different from the corresponding original item attribute information; the attribute judgment result is used as a dimension to analyze data. Based on the attribute judgment result, it is determined whether the current item and the original item are different items. If they are different, it can be determined that the original item has been replaced by the current item and the current item is an illegal item.

[0107] In the embodiment of the present application, the preset attribute information of the item is one or more of at least one attribute information, and the embodiment of the present application is not limited to this.

[0108] Exemplarily, the preset attribute information of the item can be set as the item brand. After obtaining the current item attributes, the item information monitoring device needs to determine whether the current item brand is the same as the item brand of the original item, and then obtain the attribute judgment result.

[0109] In some embodiments of the present application, the item information monitoring device can obtain the category of the item; and determine preset attribute information corresponding to the category based on the category of the item.

[0110] In the embodiment of the present application, different preset attribute information can be set for items of different categories. For example, if the category of the item is clothing, the preset attribute information can be set as material; if the material of the current item is silk, and the material of the corresponding original item is polyester fiber, the attribute judgment result can be determined as: the preset attribute information is different from the attribute information of the corresponding original item.

[0111] In some real-time of the present application, when acquiring the current item attributes, the item information monitoring device may only acquire preset attribute information, compare the preset attribute information with the attribute information of the corresponding original item, and obtain the attribute judgment result.

[0112] In some embodiments of the present application, the current item information includes: the current item value; the at least one analysis module includes: a value analysis module; S102 performs violation analysis on the current item information through the at least one analysis module to obtain at least one dimension analysis data, such as Figure 6 As shown, it may include:

[0113] S401, obtaining the value difference between the original item value and the current item value through a value analysis module;

[0114] S402. Divide the value difference by the original item value to obtain a value change coefficient; at least one dimension analysis data includes the value change coefficient.

[0115] In the embodiment of the present application, the value analysis module is used to analyze the current item value. The item information monitoring device obtains the value difference between the original item value and the current item value through the value analysis module, and then divides the difference by the original item value to obtain the value change coefficient; the value change coefficient is used to characterize the ratio of the change in the current item value relative to the original item value. The value change coefficient is used as a dimension to analyze the data.

[0116] In some embodiments of the present application, after the item information monitoring device obtains the value difference, it can also divide the difference by the current item value and use the obtained quotient as the value change coefficient.

[0117] In some embodiments of the present application, the preset violation condition includes at least one first analysis condition and a second analysis condition; the at least one first analysis condition corresponds to at least one dimension analysis data; in S103, when at least one dimension analysis data satisfies the preset violation condition, the item is determined to be a violation item, such as Figure 7 As shown, it may include:

[0118] S501: when at least one dimensional analysis data satisfies a corresponding preset first analysis condition, determine at least one dimensional analysis result corresponding to the at least one dimensional analysis data;

[0119] In the embodiment of the present application, the item information monitoring module determines whether each dimensional analysis data satisfies the corresponding first analysis condition, thereby obtaining each dimensional analysis result corresponding to each dimensional analysis data.

[0120] In an embodiment of the present application, at least one dimensional analysis data includes title similarity, and a first analysis condition corresponding to the title similarity is that the title similarity is greater than a title similarity threshold; the item information monitoring module can determine that the title similarity is in violation when the title similarity is greater than the title similarity threshold, and use the title similarity violation as a dimensional analysis result.

[0121] In an embodiment of the present application, at least one dimensional analysis data includes a title judgment result, and the first analysis condition corresponding to the title judgment result is that the current item title includes violation information; the item information monitoring module can determine that the title information is in violation when the current item title includes violation information, and use the title information violation as a dimensional analysis result.

[0122] In an embodiment of the present application, at least one dimensional analysis data includes image similarity, and a first analysis condition corresponding to the image similarity is that the image similarity is less than an image similarity threshold; the item information monitoring module can determine that the image similarity is in violation when the image similarity is less than the image similarity threshold, and use the image similarity violation as a dimensional analysis result.

[0123] In an embodiment of the present application, at least one dimensional analysis data includes an attribute judgment result, and the first analysis condition corresponding to the attribute judgment result is that the preset attribute information is different from the corresponding original attribute information; the item information monitoring module can determine the attribute violation when the preset attribute information is different from the corresponding original attribute information, and use the attribute violation as a dimensional analysis result.

[0124] In an embodiment of the present application, at least one dimensional analysis data includes a value change coefficient, and the first analysis condition corresponding to the value change coefficient is that the value change coefficient is greater than the value threshold; the item information monitoring module can determine a value violation when the value change coefficient is greater than the value threshold, and use the value violation as a dimensional analysis result.

[0125] In some embodiments of the present application, the item information monitoring device can obtain the value range of the current commodity value of the item. If the current item value of the item is within a first value range, it is determined whether the value change coefficient is greater than a first value threshold; if the value change coefficient is greater than the first value threshold, at least one analysis result includes a value violation; the first value range corresponds to the first value threshold.

[0126] In an embodiment of the present application, the value of the item can be divided into different value ranges in advance, and different value thresholds can be set for different value ranges; in this way, after obtaining the value change coefficient, the item information monitoring device needs to determine the first value threshold corresponding to the first value range to which the current item value belongs, and use the first value threshold as the value threshold.

[0127] In some embodiments of the present application, the higher the value of the item, the smaller the corresponding value threshold.

[0128] Exemplarily, the value range of A is (0-499) yuan, and the corresponding value threshold is 20%; the value range of B is (500-2999) yuan, and the corresponding value threshold is 10%; the value range of C is (3000-9999) yuan, and the corresponding value threshold is 5%; if the current item value of an item is 120 yuan and the original item value is 110 yuan, that is, the current item value is 10 yuan higher than before, and the value change coefficient is 9%, which is less than the corresponding value threshold of 10%, then the item value change coefficient does not meet the corresponding first analysis condition; if the current item medium of an item is 3500 yuan and the original item value is 3200 yuan, that is, the current item value is 300 yuan higher than before, and the value change coefficient is 9.4%, which is higher than the corresponding value threshold of 5%, then the item value change coefficient meets the corresponding first analysis condition, and the item value is judged to be in violation.

[0129] It is understandable that by setting different value thresholds for items in different value ranges, the method of determining value violations based on the value variation coefficient is made more flexible and more accurate.

[0130] S502: If at least one dimensional analysis result satisfies the second analysis condition, the item is determined to be an illegal item.

[0131] In an embodiment of the present application, after obtaining at least one dimensional analysis result, the item information monitoring device determines whether the at least one dimensional analysis result satisfies a second analysis condition. If the at least one dimensional analysis result satisfies the second analysis condition, the item can be determined to be in violation.

[0132] In an embodiment of the present application, the second analysis condition may include at least one of the following: 1) at least one dimensional analysis result includes any one dimensional analysis result; 2) at least one dimensional analysis result includes a preset dimensional analysis result, for example, the preset dimensional analysis result is a title information violation, then when the item information monitoring device determines that the item title information is in violation, it can determine that the item is a violating item; 3) at least one dimensional analysis result includes a preset number of dimensional analysis results, for example, the preset number is 2, then when the item information monitoring device determines that the title information is in violation and the attribute is in violation, it can obtain 2 dimensional analysis results, and then determine that the item is a violating item.

[0133] In some embodiments of the present application, the second analysis condition includes: at least one violation weight corresponding to at least one analysis result and a preset violation threshold; if at least one dimension analysis result satisfies the second analysis condition in S502, then the item is determined to be a violation item, such as Figure 8 As shown, it may include:

[0134] S5021. Determine the degree of violation of the item according to at least one dimensional analysis result and at least one corresponding violation weight;

[0135] In the embodiment of the present application, each dimensional analysis result has a corresponding violation weight, and each violation weight represents the degree of influence of the corresponding dimensional analysis result on the determination of item violation.

[0136] In the embodiment of the present application, the sum of the violation weights corresponding to the analysis results of each dimension is used as the violation degree of the item.

[0137] S5022: If the degree of violation is greater than a preset violation threshold, the item is determined to be a violation item.

[0138] In the embodiment of the present application, after obtaining the violation degree of the item, the item information monitoring device determines whether the violation degree of the item is greater than a preset violation threshold. If the violation degree is greater than the preset violation threshold, the item is determined to be a violating item.

[0139] Exemplarily, the item information monitoring device obtains analysis results in two dimensions: title similarity violation and picture similarity violation. The violation weight corresponding to the title similarity violation is 50%, and the violation weight of the picture similarity violation is 50%, then the violation degree of the item is 100%; if the preset violation threshold is 50%, then the violation degree of the item is greater than the violation threshold, and the item is determined to be an illegal item.

[0140] In the embodiment of the present application, the preset violation threshold can be set as needed, and the embodiment of the present application does not limit this.

[0141] In the embodiment of the present application, if the preset violation threshold is not set, the preset violation threshold defaults to 100%.

[0142] In some embodiments of the present application, different preset violation conditions may be set for items of different categories; the item information monitoring device may determine the preset violation conditions corresponding to the category based on the category of the item.

[0143] In an embodiment of the present application, the preset violation conditions include at least one first analysis condition and a second analysis condition; different preset violation conditions include: any one of the first analysis condition and / or the second analysis condition is different; different second analysis conditions include at least one violation weight and / or preset violation threshold.

[0144] For example, if the category of the item is clothing, the violation weights of the title similarity violation and the image similarity violation can be set to 50% respectively, and the default preset violation threshold is 100%; if the category of the item is food, the weight of the title similarity violation can be set to 100%, and the weights of the value violation and the image similarity violation can be set to 50% respectively, and the default preset violation threshold is 100%; in this way, for items of different categories, even if the analysis result of the title similarity violation is obtained, the final result of whether the item is in violation may be different.

[0145] It can be understood that by setting different preset violation conditions for different categories, the flexibility of monitoring information of items in different categories is increased, and the accuracy of violation judgment is improved.

[0146] In some embodiments of the present application, after obtaining the current item information in S101, the item information monitoring device may compare the current item information with the corresponding original item information. If the current item information is different from the corresponding original item information, a violation analysis is performed on the current item information through at least one analysis module to obtain at least one dimensional analysis data.

[0147] In the embodiment of the present application, after obtaining the current item information, the item information monitoring device can compare the current item information with the corresponding original item information, wherein any one of the current item information is different from the corresponding one of the original item information, indicating that the current item information has changed, and it is necessary to determine whether the current item is in violation. If the current item information is the same as the corresponding original item information, indicating that the current item information has not changed, there is no need to perform S102 to S103, and the item is not an illegal item.

[0148] It is understandable that after obtaining the current item information, the item information monitoring device first compares whether the current item information has changed, and then determines whether it is necessary to perform a violation analysis through at least one analysis module based on the comparison result. When the current item information has not changed, there is no need to perform a violation judgment on the current item, which reduces the workload of the item information monitoring device and saves resource consumption.

[0149] The following is an explanation of an exemplary application of the embodiments of the present application in a practical application scenario.

[0150] The item information monitoring device includes four analysis modules, namely, a title analysis module, a picture analysis module, an attribute analysis module and a value analysis module. The item information monitoring device obtains the current item title, the current item picture, the current item attribute and the current item value; analyzes the current item title through the title analysis module to obtain the title judgment result and the title similarity; analyzes the current item picture through the picture analysis module to obtain the picture similarity; analyzes the current item picture through the picture analysis module to obtain the attribute judgment result; analyzes the current item value through the value analysis module to obtain the value change coefficient; then, the item information monitoring device determines through the judgment module that the title judgment result, the title similarity, the picture similarity, the attribute judgment result and the value change coefficient meet the corresponding first analysis condition, and obtains two analysis results including: title similarity violation and picture similarity violation; the item information monitoring device determines that the item is an illegal item through the judgment module when the similarity violation and the picture similarity violation meet the second analysis condition.

[0151] It can be understood that the item information monitoring device includes 4 analysis modules, and each analysis module can be used to analyze the corresponding current item information to obtain analysis data in 5 dimensions, and then two analysis results are obtained based on the analysis data in these 5 dimensions and the corresponding first analysis condition. Finally, when these two analysis results meet the second condition, the item is determined to be an illegal item.

[0152] In some embodiments of the present application, after obtaining the current item title, the current item picture, the current item attributes and the current item value, the item information monitoring device compares the current item title with the original item title, compares the current item picture with the original item picture, compares the current item attributes with the original item attributes, and compares the current item value with the original item value, and determines that the current item title is different from the original item title and the current item attributes are different from the original item attributes. Then, the item information monitoring device analyzes the current item title through a title analysis module to obtain a title judgment result and a title similarity; analyzes the current item picture through a picture analysis module to obtain picture similarity; then, the item information monitoring device determines through a determination module that the title judgment result among the title judgment result, the title similarity and the picture similarity is that the current title information contains illegal information, and obtains an analysis result that the title information is illegal; the item information monitoring device determines through a determination module that the item is an illegal item when the violation weight of the title information violation is 100%.

[0153] It can be understood that the item information monitoring device can first compare the 4 current item information with the corresponding original item information, and then analyze the 2 current item information that have changed through the corresponding analysis module to obtain the corresponding 2 analysis results, and then determine whether the item is in violation based on the 2 analysis results. In this way, before analyzing through the analysis module, the current commodity information that needs to be analyzed can be screened out first, thereby improving the analysis efficiency and reducing the resource consumption of the item information monitoring device.

[0154] The following is a description of an exemplary structure of the article information monitoring device 455 provided in the embodiment of the present application implemented as a software module. In some embodiments, Figure 2 As shown, the software modules stored in the item information monitoring device 455 of the memory 440 may include:

[0155] The acquisition module 4551 is used to acquire the current item information described in the item description page; the current item information includes at least one of the following: the current item title, the current item picture, the current item attribute and the current item value;

[0156] At least one analysis module 4552, configured to perform violation analysis on the current item information to obtain at least one dimension analysis data; wherein the at least one analysis module corresponds to at least one of the current item information; and the at least one dimension analysis data is used to characterize change information of the current item information;

[0157] The determination module 4553 is used to determine that the item is a violation item when the at least one dimension analysis data meets a preset violation condition.

[0158] In some embodiments, the current item information includes: the current item title; the at least one analysis module includes: a title analysis module; the title analysis module is used to judge whether the current item title contains illegal information and obtain a title judgment result; the at least one dimensional analysis data includes the title judgment result; and / or, compares the current item title with the original item title to obtain the title similarity between the current item title and the original item title; the at least one dimensional analysis data includes the title similarity.

[0159] In some embodiments, the title analysis module is used to perform text analysis on the current item title and the original title to obtain a feature vector of the current item title and a feature vector of the original item title; calculate the cosine distance between the feature vector of the current item title and the feature vector of the original item title, and use the cosine distance as the title similarity.

[0160] In some embodiments, the current item information includes: a current item picture; the at least one analysis module includes: an image analysis module; the image analysis module is used to perform image analysis on the current item picture and the original item picture to obtain a feature vector of the current item picture and a feature vector of the original item picture; calculate the cosine distance between the feature vector of the current item picture and the feature vector of the original item picture, and use the cosine distance as the image similarity between the current item picture and the original item picture; the at least one dimensional analysis data includes the image similarity.

[0161] In some embodiments, the current item information includes: current item attributes; the current item attributes include at least one attribute information; the at least one analysis module includes: an attribute analysis module; the attribute analysis module is used to judge whether the preset attribute information in the at least one attribute information is the same as the corresponding original item attribute information, and obtain an attribute judgment result; the at least one dimensional analysis data includes the attribute judgment result.

[0162] In some embodiments, the attribute analysis module is further used to obtain the category of the item; and determine the preset attribute information corresponding to the category based on the category of the item.

[0163] In some embodiments, the current item information includes: the current item value; the at least one analysis module includes: a value analysis module; the value analysis module is used to obtain the value difference between the original item value and the current item value; the value difference is divided by the original item value to obtain the value change coefficient; the at least one dimensional analysis data includes the value change coefficient.

[0164] In some embodiments, the preset violation conditions include at least one first analysis condition and a second analysis condition; the at least one first analysis condition corresponds to the at least one dimensional analysis data; the determination module 4553 is also used to determine at least one dimensional analysis result corresponding to the at least one dimensional analysis data when the at least one dimensional analysis data satisfies the corresponding first analysis condition; if the at least one dimensional analysis result satisfies the second analysis condition, the item is determined to be a violating item.

[0165] In some embodiments, the determination module 4553 is also used to determine that the at least one analysis result includes a title similarity violation if the title similarity is less than a title similarity threshold; determine that the at least one analysis result includes a title information violation if the title judgment result is that the current item title includes the violation information; determine that the at least one analysis result includes an image similarity violation if the image similarity is less than a image similarity threshold; determine that the at least one analysis result includes an attribute violation if the preset attribute information is different from the corresponding original attribute information; and determine that the at least one analysis result includes a value violation if the value change coefficient is greater than a value threshold.

[0166] In some embodiments, the determination module 4553 is also used to determine whether the value change coefficient is greater than a first value threshold if the current item value of the item is within a first value range; if the value change coefficient is greater than the first value threshold, then the at least one analysis result includes a value violation; and the first value range corresponds to the first value threshold.

[0167] In some embodiments, the second analysis condition includes: at least one violation weight corresponding to the at least one analysis result and a preset violation threshold; the determination module 4553 is further used to determine the degree of violation of the item based on the at least one dimensional analysis result and the corresponding at least one violation weight; if the degree of violation is greater than the preset violation threshold, the item is determined to be a violating item.

[0168] In some embodiments, the determination module 4553 is further used to determine the preset violation condition corresponding to the category based on the category of the item before determining that the item is a violating item when the at least one dimensional analysis data satisfies the preset violation condition.

[0169] In some embodiments, the at least one analysis module 4552 is also used to compare the current item information with the corresponding original item information after obtaining the current item information. If the current item information is different from the corresponding original item information, the current item information is subjected to violation analysis by the at least one analysis module to obtain at least one dimensional analysis data.

[0170] In some embodiments of the present application, the at least one analysis module 4552 includes: a title analysis module, a picture analysis module, an attribute analysis module, and a value analysis module. The at least one analysis module 4552 performs a violation analysis on the current item title through the title analysis module, performs a violation analysis on the current item picture through the picture analysis module, analyzes the current item attributes through the attribute analysis module, and analyzes the current item value through the value analysis module.

[0171] In an embodiment of the present application, at least one analysis module 4552 may also include a comment analysis module, an order analysis module, etc. The modules that may be included in at least one analysis module may be set as needed, and the embodiment of the present application does not impose any restrictions on this.

[0172] The embodiment of the present application provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the above-mentioned method for monitoring item information in the embodiment of the present application.

[0173] The present application embodiment provides a computer-readable storage medium storing executable instructions, wherein the executable instructions are stored. When the executable instructions are executed by a processor, the processor will be caused to execute the method provided by the present application embodiment, for example, Figures 3 to 8 The method shown.

[0174] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface storage, optical disk, or CD-ROM; or it may be various devices including one or any combination of the above memories.

[0175] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0176] As an example, executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0177] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.

[0178] In summary, through the embodiments of the present application, the item information monitoring device obtains the current item information described in the item description page, analyzes at least one of the current item information through at least one analysis module, obtains at least one dimensional analysis data, and determines that the item is a violating item when at least one dimensional analysis data satisfies a preset violation condition; in this way, the monitoring of multiple current item information is realized, and the monitoring accuracy is improved; further, the item information monitoring device can perform targeted analysis on the corresponding current item information through at least one analysis module, and monitor the violating items based on the analysis data of each analysis module. In this way, when it is necessary to monitor other current item information, the corresponding analysis module can be added accordingly, thereby improving the scalability of the item information monitoring device; further, the preset violation conditions for determining the item by the item information monitoring device can be set as needed, thereby improving the flexibility of monitoring; further, the item information monitoring device can also first compare the current item information with the original item information, and analyze the current item information that has actually changed through at least one analysis module, thereby reducing the resource consumption of the item information monitoring device.

[0179] The above is only an embodiment of the present application and is not intended to limit the protection scope of the present application. Any modifications, equivalent substitutions and improvements made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A method for monitoring item information, characterized in that: include: Obtaining the current item information described in the item description page; the current item information includes at least one of the following: the current item title, the current item picture, the current item attributes and the current item value; The current item information is compared with the corresponding original item information. If the current item information is different from the corresponding original item information, the current item information is subjected to violation analysis by at least one analysis module to obtain at least one dimension analysis data; wherein the original item information is item information on an original description page of the item, and the original description page is a description page initially generated on an online shopping platform; the at least one analysis module corresponds one-to-one to at least one of the current item information; the at least one dimension analysis data is used to characterize the change information of the current item information; the change information of the current item information includes the change situation of the current item information, and the change situation of the current item information includes whether a change has occurred and / or the degree of change, whether key information in the current item information has changed and / or the degree of change, and whether the current item information includes violation information; In the case where the at least one dimension analysis data satisfies a preset violation condition, determining that the item is a violation item; Wherein, the preset violation condition includes at least one first analysis condition and a second analysis condition; the at least one first analysis condition corresponds to the at least one dimensional analysis data, and the second analysis condition includes at least one violation weight and a preset violation threshold value corresponding to at least one analysis result; When the at least one dimension analysis data satisfies a preset violation condition, determining that the item is a violation item includes: In a case where the at least one dimensional analysis data satisfies the corresponding first analysis condition, determining at least one dimensional analysis result corresponding to the at least one dimensional analysis data; The sum of the violation weights corresponding to the analysis results of each dimension is taken as the violation degree of the item; If the violation degree is greater than the preset violation threshold, the item is determined to be a violation item; Wherein, when the at least one dimensional analysis data satisfies the corresponding first analysis condition, determining at least one dimensional analysis result corresponding to the at least one dimensional analysis data includes: If the title similarity is less than a title similarity threshold, determining that the at least one analysis result includes a title similarity violation; the title similarity is the similarity between the current item title and the corresponding original item title; If the title determination result is that the current item title includes the violation information, determining that the at least one analysis result includes a title information violation; If the image similarity is less than the image similarity threshold, determining that the at least one analysis result includes an image similarity violation; the image similarity is the similarity between the current item image and the corresponding original item image; If the preset attribute information in at least one attribute information in the current item attributes is different from the corresponding original attribute information, determining that the at least one analysis result includes an attribute violation; If the value change coefficient of the current item is greater than the value threshold, it is determined that the at least one analysis result includes a value violation; the value change coefficient of the current item is obtained based on the current item value and the corresponding original item value.

2. The method according to claim 1, characterized in that The current item information includes: the current item title; the at least one analysis module includes: a title analysis module; the violation analysis of the current item information by the at least one analysis module is performed to obtain at least one dimension analysis data, including: The title analysis module is used to determine whether the current item title contains any illegal information, thereby obtaining a title determination result; the at least one dimensional analysis data includes the title determination result; and / or, The title analysis module compares the current item title with the original item title to obtain the title similarity between the current item title and the original item title; the at least one dimensional analysis data includes the title similarity.

3. The method according to claim 2, characterized in that The comparing the current item title with the original item title by the title analysis module to obtain the title similarity between the current item title and the original item title includes: Performing text analysis on the current item title and the original item title by the title analysis module to obtain a feature vector of the current item title and a feature vector of the original item title; The cosine distance between the feature vector of the current item title and the feature vector of the original item title is calculated, and the cosine distance is used as the title similarity.

4. The method according to claim 1, characterized in that: The current item information includes: a current item picture; the at least one analysis module includes: an image analysis module; the at least one analysis module performs violation analysis on the current item information to obtain at least one dimension analysis data, including: Performing image analysis on the current item image and the original item image by the image analysis module to obtain a feature vector of the current item image and a feature vector of the original item image; Calculate the cosine distance between the feature vector of the current item image and the feature vector of the original item image, and use the cosine distance as the image similarity between the current item image and the original item image; the at least one dimensional analysis data includes the image similarity.

5. The method according to claim 1, characterized in that The current item information includes: current item attributes; the current item attributes include at least one attribute information; the at least one analysis module includes: an attribute analysis module; the violation analysis of the current item information by the at least one analysis module is performed to obtain at least one dimension analysis data, including: Through the attribute analysis module, it is judged whether the preset attribute information in the at least one attribute information is the same as the corresponding original item attribute information to obtain an attribute judgment result; the at least one dimensional analysis data includes the attribute judgment result.

6. The method according to claim 5, characterized in that Before determining by the attribute analysis module whether the preset attribute information in the at least one attribute information is the same as the corresponding original attribute information and obtaining the attribute determination result, the method further includes: Get the category of the item; According to the category of the item, the preset attribute information corresponding to the category is determined.

7. The method according to claim 1, characterized in that The current item information includes: the current item value; the at least one analysis module includes: a value analysis module; the violation analysis of the current item information by the at least one analysis module is performed to obtain at least one dimension analysis data, including: Obtaining the value difference between the original item value and the current item value through the value analysis module; The value difference is divided by the original item value to obtain a value change coefficient; the at least one dimensional analysis data includes the value change coefficient.

8. The method according to claim 1, characterized in that If the value change coefficient is greater than the value threshold, then the at least one analysis result includes a value violation, including: If the current item value of the item is within the first value range, determining whether the value change coefficient is greater than a first value threshold; If the value variation coefficient is greater than a first value threshold, then the at least one analysis result includes a value violation; and the first value range corresponds to the first value threshold.

9. The method according to claim 1, characterized in that: When the at least one dimension analysis data satisfies a preset violation condition, before determining that the item is a violation item, the method further includes: According to the category of the item, the preset violation condition corresponding to the category is determined.

10. The method according to claim 1, characterized in that After obtaining the current item information, the method further includes: The current item information is compared with the corresponding original item information. If the current item information is different from the corresponding original item information, the current item information is subjected to violation analysis by the at least one analysis module to obtain at least one dimension analysis data.

11. An article information monitoring device, characterized in that: include: The acquisition module is used to obtain the current item information described in the item description page; The current item information includes at least one of the current item title, the current item picture, the current item attribute and the current item value; At least one analysis module is used to perform violation analysis on the current item information when the current item information is different from the corresponding original item information to obtain at least one dimension analysis data; wherein the original item information is the item information on the original description page of the item, and the original description page is the description page initially generated on the online shopping platform; the at least one analysis module corresponds to at least one of the current item information in a one-to-one manner; the at least one dimension analysis data is used to characterize the change information of the current item information; the change information of the current item information includes the change situation of the current item information, and the change situation of the current item information includes whether the change has occurred and / or the degree of the change, whether the key information in the current item information has changed and / or the degree of the change, and whether the current item information includes violation information; A determination module, configured to determine that the item is a violation item when the at least one dimension analysis data satisfies a preset violation condition; Wherein, the preset violation condition includes at least one first analysis condition and a second analysis condition; the at least one first analysis condition corresponds to the at least one dimensional analysis data, and the second analysis condition includes at least one violation weight and a preset violation threshold value corresponding to at least one analysis result; The determination module is specifically used for: In a case where the at least one dimensional analysis data satisfies the corresponding first analysis condition, determining at least one dimensional analysis result corresponding to the at least one dimensional analysis data; Among them, the sum of the violation weights corresponding to the analysis results of each dimension is taken as the violation degree of the item; If the violation degree is greater than the preset violation threshold, the item is determined to be a violation item; Wherein, when the at least one dimensional analysis data satisfies the corresponding first analysis condition, determining at least one dimensional analysis result corresponding to the at least one dimensional analysis data includes: If the title similarity is less than a title similarity threshold, determining that the at least one analysis result includes a title similarity violation; the title similarity is the similarity between the current item title and the corresponding original item title; If the title determination result is that the current item title includes the violation information, determining that the at least one analysis result includes a title information violation; If the image similarity is less than the image similarity threshold, determining that the at least one analysis result includes an image similarity violation; the image similarity is the similarity between the current item image and the corresponding original item image; If the preset attribute information in at least one attribute information in the current item attributes is different from the corresponding original attribute information, determining that the at least one analysis result includes an attribute violation; If the value change coefficient of the current item is greater than the value threshold, it is determined that the at least one analysis result includes a value violation; the value change coefficient of the current item is obtained based on the current item value and the corresponding original item value.

12. An item information monitoring device, characterized in that: include: A memory for storing executable instructions; A processor, configured to implement the method according to any one of claims 1 to 10 when executing the executable instructions stored in the memory.

13. A computer-readable storage medium, characterized in that: Executable instructions are stored, and when executed by a processor, the method described in any one of claims 1 to 10 is implemented.

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