CN112686678A

CN112686678A - Method, device, equipment and storage medium for determining false order

Info

Publication number: CN112686678A
Application number: CN202011608980.5A
Authority: CN
Inventors: 焦志鑫; 吴风强; 张灿
Original assignee: Beijing Shunda Technology Co ltd
Current assignee: Beijing Shunda Technology Co ltd
Priority date: 2020-12-30
Filing date: 2020-12-30
Publication date: 2021-04-20

Abstract

The application provides a method, a device, equipment and a storage medium for determining false orders, which comprise the following steps: acquiring an order processing request about a to-be-processed order sent by user equipment of a user, wherein the order processing request comprises order remark information of the to-be-processed order, and the order remark information comprises related information in remark columns in the to-be-processed order; determining order evaluation information of the to-be-processed order according to the order remark information, wherein the order evaluation information comprises indication information used for indicating the reliability of the to-be-processed order; and if the order evaluation information meets the false evaluation condition, determining the order to be processed as the false order. The method and the device can effectively avoid false orders, improve accuracy of false order screening, improve experience of users and riders, and enable healthy orders to be circulated more timely.

Description

Method, device, equipment and storage medium for determining false order

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a false order, a computer device, and a storage medium.

Background

With the rapid development of the internet, the problems of order brushing, fake order, advertisement list and the like in the logistics distribution industry become more serious, the scheduling and diffusion of a normal order system are greatly influenced, and meanwhile, negative influences are brought to users and knights. In order to optimize the user experience and enhance the user stickiness, how to use an intelligent means to avoid the suspicious list in advance has become a very important problem. Most of apps on the market have an order remarking function, and advertising by using the order remarking is a new advertising channel. In a logistics distribution scene, it is increasingly important to fight against false suspicious order circulation.

Disclosure of Invention

The application provides a method and a device for determining false orders, computer equipment and a storage medium.

According to one aspect of the present application, there is provided a method of determining a false order, the method comprising:

acquiring an order processing request about a to-be-processed order sent by user equipment of a user, wherein the order processing request comprises order remark information of the to-be-processed order, and the order remark information comprises related information in remark columns in the to-be-processed order;

determining order evaluation information of the to-be-processed order according to the order remark information, wherein the order evaluation information comprises indication information used for indicating the reliability of the to-be-processed order;

and if the order evaluation information meets the false evaluation condition, determining the order to be processed as the false order.

According to one aspect of the present application, there is provided an apparatus for determining a false order, the apparatus comprising:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an order processing request which is sent by user equipment of a user and related to a to-be-processed order, the order processing request comprises order remark information of the to-be-processed order, and the order remark information comprises related information in remark columns in the to-be-processed order;

the determining module is used for determining order evaluation information of the to-be-processed order according to the order remark information, wherein the order evaluation information comprises indicating information used for indicating the reliability of the to-be-processed order;

and the judging module is used for determining the order to be processed as the false order if the order evaluation information meets the false evaluation condition.

There is also provided, in accordance with an aspect of the present application, apparatus for determining a false order, the computer apparatus comprising:

one or more processors;

a memory; and

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to perform the operations of any of the methods described above.

According to an aspect of the application, there is also provided a computer readable storage medium having stored thereon a computer program, which is loaded by a processor to perform the operations of any of the methods described above.

According to the method and the device, the order to be processed is judged through the order remark information, and the false order is determined, so that the false order can be effectively avoided, the accuracy of false order screening is improved, the experience of a user and a rider is improved, and healthy orders can be circulated more timely. Furthermore, the key fields of the false orders are added to the false database, the cost of manually adding the key fields is reduced, and the accuracy of identifying the false orders is further improved by continuously training the corresponding matching modules.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 illustrates a system topology diagram for determining a false order according to an embodiment of the present application;

FIG. 2 is a flow diagram illustrating an embodiment of a method for determining a false order provided in embodiments of the present application;

FIG. 3 illustrates functional modules of a spurious order determination apparatus provided in an embodiment of the present application;

FIG. 4 illustrates an exemplary system that can be used to implement the various embodiments described in this application.

The same or similar reference numbers in the drawings identify the same or similar elements.

Detailed Description

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 only a part of the embodiments of the present invention, and not all of the 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 invention.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not shown in detail to avoid obscuring the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

It should be noted that, since the method in the embodiment of the present application is executed in the computing device, the processing objects of each computing device exist in the form of data or information, for example, time, which is substantially time information, it can be understood that, in the subsequent embodiments, if the size, the number, the position, and the like are mentioned, corresponding data exist, so that the electronic device performs processing, and details are not described herein.

In a typical configuration of the present application, the terminal or trusted party each includes one or more processors (e.g., a Central Processing Unit (CPU), an input/output interface, a network interface, and a Memory.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, Phase-Change Memory (PCM), Programmable Random Access Memory (PRAM), Static Random-Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other Memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.

The device referred to in this application includes, but is not limited to, a user device, a network device, or a device formed by integrating a user device and a network device through a network. The user equipment includes, but is not limited to, any mobile electronic product, such as a smart phone, a tablet computer, etc., capable of performing human-computer interaction with a user (e.g., human-computer interaction through a touch panel), and the mobile electronic product may employ any operating system, such as an Android operating system, an iOS operating system, etc. The network Device includes an electronic Device capable of automatically performing numerical calculation and information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded Device, and the like. The network device includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud of a plurality of servers; here, the Cloud is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual supercomputer consisting of a collection of loosely coupled computers. Including, but not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless Ad Hoc network (Ad Hoc network), etc. Preferably, the device may also be a program running on the user device, the network device, or a device formed by integrating the user device and the network device, the touch terminal, or the network device and the touch terminal through a network.

Of course, those skilled in the art will appreciate that the foregoing is by way of example only, and that other existing or future devices, which may be suitable for use in the present application, are also encompassed within the scope of the present application and are hereby incorporated by reference.

The application provides a method for determining false orders, which is mainly applied to a new logistics business system, wherein the logistics business system comprises network equipment, user equipment of an order placing user and user equipment of an order processing user. The method is mainly completed by network equipment, wherein the network equipment comprises but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud formed by a plurality of servers; in some cases, the method further requires the user equipment of the ordering user and/or the user equipment of the order processing user to be completed, wherein the user equipment includes, but is not limited to, any mobile electronic product capable of performing human-computer interaction with the user (for example, human-computer interaction through a touch panel), such as a smart phone, a tablet computer, and the like. Without limitation, fig. 1 illustrates a typical scenario of the present application, in a system topology diagram corresponding to the illustrated logistics service system, the logistics service system includes a corresponding order placing user set, a network device, an order processing user set, and the like, each order placing user holds a corresponding user device, a corresponding to-be-processed order is edited by the user device of each order placing user, and an order processing request of the to-be-processed order is sent to the network device, the network device determines the to-be-processed order, and if the to-be-processed order is determined to be a false order, the network device logs out the order or returns the to the user device of the order placing user to remind the user of placing the order after re-editing, and the like; and if the order to be processed is not determined as the false order, the network equipment sends the order to be processed to one of the order processing users corresponding to the corresponding order processing user set, so that the order processing users can process the order to be processed and the like. The logistics business system is mainly used for delivery services such as express delivery, takeout, consignment and the like. In this regard, the following embodiments are described below by taking the single user to collect the pending orders of the single user as an example, and those skilled in the art will understand that the pending orders of other users to be placed are equally applicable to the following embodiments and shall be included in the scope of the present application. The application environment shown in fig. 1 is only one application scenario of the present application, and does not constitute a limitation on the application scenario of the present application, and as a person having ordinary skill in the art knows, with the evolution of a logistics service scenario and the appearance of a new logistics service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.

Referring to the system topology shown in fig. 1, fig. 2 shows a method for determining a false order according to an aspect of the present application, which is mainly applied to a network device, and includes step S101, step S102, step S103, and the like. In step S101, a network device obtains an order processing request about a to-be-processed order sent by a user device of a user, where the order processing request includes order remark information of the to-be-processed order, and the order remark information includes related information in a remark column in the to-be-processed order; in step S102, the network device determines, according to the order remark information, order evaluation information of the to-be-processed order, where the order evaluation information includes indication information used for indicating a reliable procedure of the to-be-processed order; in step S103, if the order evaluation information satisfies a false evaluation condition, the order to be processed is determined as a false order.

Specifically, in step S101, a network device obtains an order processing request about a to-be-processed order sent by a user device of a user, where the order processing request includes order remark information of the to-be-processed order, and the order remark information includes related information in a remark column in the to-be-processed order. For example, a user holds user equipment, a corresponding logistics application (such as an independent application or an applet, a plug-in, etc.) is installed on the user equipment, the user equipment presents a corresponding order editing page, the user equipment generates corresponding editing information based on an editing operation of the user on the order editing page, and generates a corresponding to-be-processed order according to the editing information, where the editing information at least includes an origin and an arrival of logistics, a corresponding item type, and the like. After determining the corresponding to-be-processed order, the user equipment sends the to-be-processed order to the corresponding network equipment, for example, the user equipment sends a corresponding order processing request to the network equipment, where the order processing request is used to generate or distribute the current to-be-processed order. The network device determines whether to generate or dispatch the current order to be processed according to the relevant information of the order to be processed, for example, the network device queries whether the order to be processed includes corresponding order remark information, the order remark information includes relevant information in the remark column in the order to be processed, for example, "valuable articles" in the logistics order, pay attention to light and put "," order taking is magical, and it is required to contact order remarks such as 158 × 0000 ", etc.; if the corresponding to-be-processed order does not include the corresponding order remark information, the network device may generate the corresponding order and dispatch the order to the order processing user, or in some cases, after the corresponding order is generated (the generation process may occur at the user device side or may be completed at the network device side), it is determined whether the order includes the order remark information, and if the order does not include the order remark information, the network device dispatches the order to the order processing user. If the corresponding to-be-processed order contains order remark information, the network device performs subsequent determination according to the order remark information of the to-be-processed order, and determines whether the to-be-processed order is a false order, wherein the determination process may occur between order generation and order dispatch of the to-be-processed order or before the order generation process of the to-be-processed order.

In step S102, the network device determines, according to the order remark information, order evaluation information of the to-be-processed order, where the order evaluation information includes indication information used for indicating a reliable procedure of the to-be-processed order. For example, the order evaluation information includes indication information for indicating the reliability of the order to be processed, where the indication information includes, but is not limited to, scoring information, rating information, and the like, and for example, the order evaluation information includes scoring information for evaluating the reliability of the order to be processed (for example, a value is taken between 0 and 100 minutes, the score is higher, the corresponding order to be processed is more reliable, and the like), rating information (for example, low, medium, and high rating values, the grade is higher, the corresponding order to be processed is more reliable, and the like). The network equipment can identify key fields of the order remark information and determine whether the corresponding key fields are advertisement words, advertisement information or advertisement contact information, and if the corresponding key fields are similar to the advertisement words, the advertisement information or the advertisement contact information, scoring or grading the order to be processed according to the corresponding similarity, so as to determine order evaluation information of the order to be processed.

Of course, those skilled in the art will appreciate that the above described order evaluation information is merely exemplary, and that other existing or future order evaluation information, as may be applicable to the present application, is also encompassed within the scope of the present application and is hereby incorporated by reference.

In step S103, if the order evaluation information satisfies a false evaluation condition, the order to be processed is determined as a false order. For example, the network device determines whether the order to be processed is a false order according to whether the order evaluation information satisfies a false evaluation condition, and if the order evaluation information satisfies the false evaluation condition, the network device determines the order to be processed as the false order, and if the order evaluation information includes corresponding score information or level information, the false evaluation condition includes whether the corresponding score is less than or equal to a score threshold value or the level information is less than the level threshold value information. If the false order judgment process occurs between the order generation process and the order dispatching process, the network equipment intercepts the false order, and then cancels the false order or returns the false order to the user for the corresponding user to edit again and the like; if the false order judgment process occurs before the order generation process, the network equipment stops the generation process of the to-be-processed order, and sends correction information and the like about the to-be-processed order to the user for the user to re-edit the to-be-processed order, and the like. In some embodiments, the order evaluation information satisfies a false evaluation condition, including but not limited to: the order evaluation information is less than or equal to scoring threshold information, wherein the order evaluation information comprises scoring information used for representing the reliability degree of the order to be processed; the order evaluation information is less than or equal to grade threshold information, wherein the order evaluation information comprises grade information used for representing the reliability degree of the order to be processed. For example, based on different expressions of order evaluation information, corresponding false evaluation conditions are also different: 1) the order evaluation information is expressed as a specific score value (such as a value of 0-100), and the higher the score value is, the higher the reliability of the corresponding order to be processed is, the corresponding false evaluation condition is that the order evaluation information is less than or equal to certain score threshold information (such as 50 points), and the like; 2) if the order evaluation information represents specific evaluation level information (such as low, medium and high) and the like, and the higher the evaluation level is, the higher the reliability of the corresponding to-be-processed order is, the corresponding false evaluation condition is that the order evaluation information is lower than or equal to the low-level evaluation level and the like. Whether the order evaluation information of the to-be-processed order meets the false evaluation condition can be judged through the corresponding false evaluation condition, so that whether the to-be-processed order is a false order or not is judged.

Of course, those skilled in the art will appreciate that the above-described spurious evaluation conditions are merely exemplary, and that other spurious evaluation conditions, existing or that may occur in the future, are included within the scope of the present application, as applicable, and are hereby incorporated by reference.

In some embodiments, in step S102, the network device extracts a key field in the order remark information, matches the key field with a false field of a false database, determines a matching degree between the key field and the false field, and determines order evaluation information of the order to be processed according to the matching degree, where the order evaluation information is negatively related to the matching degree. For example, the false database includes a data repository for storing and managing false fields including fields for matching with order remark information, including but not limited to advertising words, promotional words, order grabbing software, or specific contact details, etc. The false fields may be obtained from the network by a crawler, or determined according to input information of a user (such as a single user, an order processing user, a management user, or the like), or obtained by training according to a training model set by a plurality of false orders, for example, different types of the false orders are preset in the training model, a plurality of false orders are input to a corresponding model for training, and key fields in the false orders are extracted as the corresponding false fields. The false database may be set in the network device, or may be set in another device in communication connection with the network device, for example, the false database sets another network device, and the network device performs matching by calling the false database of another network device. In some cases, after the network device obtains order remark information, the order remark information is identified through a semantic identification function, a key field in the order remark information is extracted, the key field is matched with a false field in the false database, a corresponding matching degree is determined, so that order evaluation information of the order to be processed is determined according to the matching degree, and if the matching quantity or similarity between the key field and the false field is determined, order evaluation information is determined according to the corresponding matching quantity or similarity, wherein the higher the matching degree is, the higher the possibility that the order to be processed is used for advertising is, the less reliable the order to be processed is, the lower the grade information or the grade information of the order evaluation information is, and the like.

In some embodiments, the degree of match includes, but is not limited to: a matching number of the key field and the false field, wherein the matching number is negatively correlated with the order evaluation information; a similarity of the key field and the dummy field, wherein the similarity is negatively correlated with the order evaluation information. For example, matching a key field in the order remark information with a false field in a false database, and if the false field is the same as the corresponding key field or has the same semantic meaning, determining that the false field is matched with the corresponding key field; if a plurality of key fields exist in the order remark information and at least one matched false field exists in the order remark information, determining order evaluation information of the order to be processed according to the matching number of the matched false fields, wherein if the matching number is more, the higher the possibility that the order to be processed is used for advertising is, the less reliable the order to be processed is, the lower the grade information or the grade information of the order evaluation information is, and the like. Further, the proportion of the false fields can be determined according to the matching quantity of the false fields and the quantity of the key fields of the order remark information, so that the order evaluation information is determined according to the corresponding proportion, and the higher the proportion is, the lower the grade information or the grade information of the order evaluation information is, and the like. In other cases, similarity matching is performed between the key fields in the order remark information and the corresponding false fields, the false field with the highest similarity to the key fields is taken as the matched key field, the similarity is taken as the corresponding matching degree, and if the similarity is higher, the grade information or the grade information of the order evaluation information is lower. In some cases, the matching degree between the key field and the dummy field may be considered by combining the matching number and the similarity, for example, determining the similarity of a plurality of dummy fields matched with the plurality of key fields, and obtaining the corresponding matching degree according to the matching number and the similarity statistics (such as taking the highest value or weighting the average value) of the plurality of dummy fields, so as to determine the order evaluation information.

In some embodiments, the method further comprises step S104 (not shown), in step S104, if the pending order is determined to be a false order, adding the key field as a sample false field to the false database. For example, if the order to be processed is determined to be a false order, adding a key field in corresponding order remark information into a training model as a sample false field, and adding the sample false field into a false database after model training. Of course, according to the different matching results of the key fields and the difference between the corresponding order scoring information, when the key fields are added to the false database, corresponding matching weights can be given to the key fields, so that the importance degree of the fields during matching can be further distinguished, and the order evaluation information can be further refined. For example, the field corresponding to the "preemptive artifact" is given a weight of 1, the field corresponding to the "158 × 0000" is given a weight of 0.8, and when the "preemptive artifact" is subsequently matched, the final matching degree is obtained by multiplying the similarity between the key field and the dummy field by the corresponding weight. By applying the identified key fields in the false orders to the subsequent identification process, the matching word bank of the false database is improved, and meanwhile, the identification accuracy of the false orders is improved.

In some embodiments, the order processing request further includes delivery distance information for the pending order; in step S102, the network device determines order evaluation information of the to-be-processed order according to the order remark information and the distribution distance information, where the order evaluation information is positively correlated with the distribution distance information. For example, the delivery distance information includes distance information from the sending position to the reaching position of the to-be-processed order, and the distance information includes, but is not limited to, a straight line distance or a distance corresponding to a navigation route. The network device may determine, in addition to the corresponding order evaluation information according to the order remark information, the order evaluation information by synthesizing the distribution distance information of the to-be-processed order, for example, the closer the distribution distance is, the lower the score information or the level information of the corresponding order evaluation information is, for example, different scores or weights are given according to the distance interval where the distribution distance is located. The specific determination process may be performed by averaging the weights, for example, assigning a corresponding weight score (e.g., 60 points) to the order remark information, assigning a corresponding weight score (e.g., 40 points) to the distribution distance information, and adding the scores according to various factors to obtain a total score of the order to be processed; or directly setting the distribution distance information as a variable of 0-1, and multiplying the score information corresponding to the order remark information by the distribution distance information after determining the score information corresponding to the order remark information to obtain the final score information of the order to be processed. In some cases, the determination process of the false order is sequentially performed according to the influence of each parameter, for example, in some embodiments, in step S102, the network device determines candidate order evaluation information of the to-be-processed order according to the order remark information, where the candidate order evaluation information does not satisfy the false evaluation condition; and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution distance information. For example, the network device first determines a false order according to the order remark information, for example, the network device determines candidate order evaluation information according to the order remark information, and determines whether the candidate order evaluation information meets a false evaluation condition; if the candidate order evaluation information meets the false evaluation condition, directly determining the order to be processed as a false order; if the candidate order evaluation information does not meet the false evaluation condition, further determining order evaluation information of the order to be processed according to the distribution distance information so as to judge whether the order evaluation information meets the false evaluation condition, and if the order evaluation information meets the false evaluation condition, determining the order to be processed as the false order. Illustratively, the network device associates d with 158 × 0001 "according to order remark information" snatch a single b and c in the order to be processed ", and the like, the order remark information has a specific contact and a key field corresponding to" snatch "and has a score of 70 for candidate order evaluation information of the order remark information, and if the corresponding false evaluation condition is that the score is less than or equal to 50, the current candidate order evaluation information does not satisfy the false evaluation condition, and further, the network device assigns a weight of 0.5 to the order to be processed according to a distribution distance of the order, if the distribution distance is less than or equal to 1km, so that the order evaluation information of the order to be processed is 70 × 0.5 — 35, and if the order evaluation information satisfies the false evaluation condition, the order to be processed is a false order, and the like. According to the method and the device, whether the order to be processed is the false order is judged by combining the distribution distance information, and the accuracy of false order identification is improved.

In some embodiments, the order processing request further includes delivery resource information for the pending order; in step S102, the network device determines order evaluation information of the to-be-processed order according to the order remark information and the distribution resource information, where the order evaluation information is positively correlated with the distribution resource information. For example, the delivery resource information includes delivery amount information of the order to be processed, and the delivery resource information includes, but is not limited to, a delivery amount, an estimated amount of goods corresponding to the order, and the like. The network device may determine, in addition to the corresponding order evaluation information according to the order remark information, the order evaluation information by synthesizing the distribution resource information of the to-be-processed order, for example, the smaller the distribution amount is, the lower the score information or the grade information corresponding to the order evaluation information is, for example, different scores or weights are given according to the amount interval in which the distribution amount is located. The specific determination process may be performed by averaging the weights, for example, allocating a corresponding weight score (e.g., 70 scores) to the order remark information, allocating a corresponding weight score (e.g., 30 scores) to the distribution resource information, and adding the scores according to various factors to obtain a total score of the order to be processed; or directly setting the distributed resource information as a variable of 0-1, and multiplying the score information corresponding to the order remark information by the variable corresponding to the distributed resource information after determining the score information corresponding to the order remark information to obtain the final score information of the order to be processed. In some embodiments, in step S102, the network device determines candidate order evaluation information of the to-be-processed order according to the order remark information, where the candidate order evaluation information does not satisfy the false evaluation condition; and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution resource information. For example, the network device first determines a false order according to the order remark information, for example, the network device determines candidate order evaluation information according to the order remark information, and determines whether the candidate order evaluation information meets a false evaluation condition; if the candidate order evaluation information meets the false evaluation condition, directly determining the order to be processed as a false order; if the candidate order evaluation information does not meet the false evaluation condition, further determining order evaluation information of the order to be processed according to the distribution resource information so as to judge whether the order evaluation information meets the false evaluation condition, and if the order evaluation information meets the false evaluation condition, determining the order to be processed as the false order. Illustratively, the network device associates d with 158 × 0001 "according to order remark information" snatch a single b and c in the order to be processed ", and the like, the order remark information has a specific contact and a key field corresponding to" snatch a single ", the evaluation information of the candidate order of the order remark information is given a score of 70, and if the corresponding false evaluation condition is that the score is less than or equal to 50, the evaluation information of the current candidate order does not satisfy the false evaluation condition, further, the network device gives a weight of 0.6 to the order to be processed according to the delivery amount of the order, if the delivery amount plus the cargo amount is less than or equal to 20, so that the order evaluation information of the order to be processed is given a score of 70 × 0.6 — 42, and if the order evaluation information satisfies the false evaluation condition, the order to be processed is a false order, and the like. According to the method and the device, whether the order to be processed is the false order is judged by combining the distribution resource information, and the accuracy of false order identification is improved.

In some embodiments, the order processing request further includes user identification information of the user; the method further includes step S105 (not shown), in step S105, the network device determines user evaluation information of the user according to a historical order record corresponding to the user identification information; in step S102, the network device determines order evaluation information of the to-be-processed order according to the order remark information and the user evaluation information, where the order evaluation information is positively correlated with the user evaluation information. For example, the user evaluation information is used to indicate the order reliability of the user placing the order, and the user evaluation information may be set to a specific score or a variable factor distributed between 0 and 1, where if no false order exists in the historical order record of the user, the user evaluation information given to the user is 1, and if 10% false orders exist in the historical order record of the user, the user evaluation information given to the user is 0.9, and so on. In some cases, when the number or proportion of spurious orders in the user's historical order record exceeds a number threshold or proportion threshold, the network device may add the user to a blacklist, subsequently not process the user's order, and so on. The specific determination of the user evaluation information may be determined according to the number of the false orders placed by the user, and the like, for example, if the number of the false orders placed by the user is 1-10, the user evaluation information is determined to be 1, and if the number of the false orders placed by the user is 11-30, the user evaluation information is determined to be 0.8, and the like. In other cases, the determination of the user evaluation information may be determined according to the proportion of the false order placed by the user, and the like, for example, in step S105, the network device determines the user evaluation information of the user according to the proportion of the false order in the history order record corresponding to the user identification information. For example, the false order percentage includes a ratio of the number of false orders in the historical order record to the number of all orders in the historical order record. And the network equipment determines the user evaluation information of the user according to the false order proportion, for example, the corresponding user evaluation information is determined by taking the proportion interval in which the false order proportion is positioned, or the reciprocal of the false order proportion is taken as the user evaluation information of the user, and the like. And the network equipment determines corresponding order evaluation information according to the user evaluation information and the order remark information, and a final score is obtained as the order evaluation information by multiplying the order score corresponding to the order remark information by the user evaluation information. According to the method and the device, whether the order to be processed is the false order is judged by combining the user evaluation information, the accuracy of false order identification is improved, and meanwhile, a good logistics environment is created for the order placing user and the order processing user.

Here, the factors such as the distribution distance information, the distribution resource information, and the user evaluation information may be considered according to a single factor, and may also be considered in combination with two or three combination factors, for example, first according to the order remark information, then in combination with the distribution distance information and/or the distribution resource information, and finally in combination with the user evaluation information, etc., to determine the corresponding order evaluation information, where the calculation manner of each factor is similar to that of the single factor, and is not described herein again, and is included herein by reference.

In some embodiments, the method further includes step S106 (not shown), and in step S106, if the to-be-processed order is determined to be a false order, sending a correction prompt message about the to-be-processed order to the user equipment. For example, the modification prompt message is used to prompt the user that the pending order is determined to be a false order, and the modification prompt message may be presented in a text, a video, an audio, or the like. And after determining that the to-be-processed order is a false order, the network equipment sends the correction prompt information to the user equipment, and the correction prompt information is used for prompting the user to re-edit and place the order for the to-be-processed order, and the like. In some cases, the correction prompt information further includes a corresponding matched key field, for example, after the network device obtains the key field matched with the false field in the order remark information, the key field is added to the correction prompt information and sent to the user device, and the user is prompted to re-edit the corresponding key field and the like to correct the order to be processed and the like.

In some embodiments, the method further includes step S107 (not shown), and in step S107, if the order evaluation information does not satisfy the false evaluation condition, the order to be processed is distributed to a corresponding order processing user according to the order evaluation information, where the order evaluation information corresponds to the processing evaluation information of the order processing user. For example, the order processing user includes a distributor who distributes the order to be processed, the processing evaluation information of the order processing user includes work score information of the order processing user, and the like, and the work score information may be determined according to a customer score, a distribution rate, a distribution completion rate, and the like of the order processing user, where the higher the customer score is, the faster the distribution rate is, the higher the order completeness is, and the higher the corresponding work score is. If the order evaluation information does not meet the false evaluation condition, the network equipment determines a corresponding order processing user according to the order evaluation information of the to-be-processed order, and if the order with higher order evaluation information is available, the order with higher order evaluation information is preferentially distributed to the order processing users with higher order evaluation information, so that the high-quality order can obtain high-quality distribution service, and good distribution experience is provided for the customer.

The foregoing describes embodiments of a method for determining a false order from the perspective of a network device, and provides a device capable of implementing the embodiments, which is described in detail below with reference to fig. 3.

Fig. 3 illustrates an apparatus for determining a false order according to an aspect of the present application, which includes an obtaining module 101, a determining module 102, and a determining module 103. An obtaining module 101, configured to obtain an order processing request about a to-be-processed order sent by user equipment of a user, where the order processing request includes order remark information of the to-be-processed order, and the order remark information includes related information in a remark column in the to-be-processed order; a determining module 102, configured to determine order evaluation information of the to-be-processed order according to the order remark information, where the order evaluation information includes indication information used for indicating a reliable procedure of the to-be-processed order; and a determining module 103, configured to determine the to-be-processed order as a false order if the order evaluation information satisfies a false evaluation condition. In some embodiments, the order evaluation information satisfies a false evaluation condition, including but not limited to: the order evaluation information is less than or equal to scoring threshold information, wherein the order evaluation information comprises scoring information used for representing the reliability degree of the order to be processed; the order evaluation information is less than or equal to grade threshold information, wherein the order evaluation information comprises grade information used for representing the reliability degree of the order to be processed.

In some embodiments, the determining module 102 is configured to extract a key field in the order remark information, match the key field with a false field of a false database, determine a matching degree between the key field and the false field, and determine order evaluation information of the to-be-processed order according to the matching degree, where the order evaluation information is negatively related to the matching degree in some embodiments, and the matching degree includes but is not limited to: a matching number of the key field and the false field, wherein the matching number is negatively correlated with the order evaluation information; a similarity of the key field and the dummy field, wherein the similarity is negatively correlated with the order evaluation information.

Here, the specific implementation of the obtaining module 101, the determining module 102, and the determining module 103 shown in fig. 3 is the same as or similar to the specific implementation of the step S101, the step S102, and the step S103 shown in fig. 2, and therefore, the description is omitted, and the description is included herein by way of reference.

In some embodiments, the apparatus further comprises an adding module (not shown) for adding the key field as a sample false field to the false database if the pending order is determined to be a false order. Here, the corresponding specific implementation of the adding module is the same as or similar to the specific implementation of the step S104, and thus the description is omitted, and the adding module is included herein by reference.

In some embodiments, the order processing request further includes delivery distance information for the pending order; the determining module 102 is configured to determine order evaluation information of the to-be-processed order according to the order remark information and the distribution distance information, where the order evaluation information is positively correlated with the distribution distance information. In some embodiments, the determining module 102 is configured to determine candidate order evaluation information of the to-be-processed order according to the order remark information, where the candidate order evaluation information does not satisfy the false evaluation condition; and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution distance information. In some embodiments, the order processing request further includes delivery resource information for the pending order; the determining module 102 is configured to determine order evaluation information of the order to be processed according to the order remark information and the distribution resource information, where the order evaluation information is positively correlated with the distribution resource information. In some embodiments, the determining module 102 is configured to determine candidate order evaluation information of the to-be-processed order according to the order remark information, where the candidate order evaluation information does not satisfy the false evaluation condition; and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution resource information. In some embodiments, the order processing request further includes user identification information of the user; the device further comprises a user evaluation module (not shown) for determining user evaluation information of the user according to the historical order record corresponding to the user identification information; the determining module 102 is configured to determine order evaluation information of the to-be-processed order according to the order remark information and the user evaluation information, where the order evaluation information is positively correlated with the user evaluation information. In some embodiments, the user evaluation module is configured to determine the user evaluation information of the user according to a false order proportion in a history order record corresponding to the user identification information. Here, the specific implementation of the distribution distance information, the distribution resource information, and the user evaluation module is the same as or similar to the specific implementation of the distribution distance information, the distribution resource information, and the step S105, and therefore, the description is not repeated here, and the description is incorporated herein by reference.

In some embodiments, the apparatus further includes a correction module (not shown) configured to send correction prompt information about the pending order to the user equipment if the pending order is determined to be a false order. In some embodiments, the apparatus further includes a distribution module (not shown) configured to distribute the to-be-processed order to a corresponding order processing user according to the order evaluation information if the order evaluation information does not satisfy the false evaluation condition, where the order evaluation information corresponds to processing evaluation information of the order processing user. Here, the specific implementation of the modification module and the distribution module is the same as or similar to the specific implementation of the step S106 and the step S107, and therefore, the description is omitted, and the description is incorporated herein by reference.

In addition to the methods and apparatus described in the embodiments above, the present application also provides a computer-readable storage medium storing computer code that, when executed, performs the method described in any of the preceding claims.

The present application also provides a computer program product, which when executed by a computer device, performs the method of any of the preceding claims.

The present application further provides a computer device, comprising:

one or more processors;

a memory for storing one or more computer programs;

the one or more computer programs, when executed by the one or more processors, cause the one or more processors to implement the method of any preceding claim.

FIG. 4 illustrates an exemplary system that can be used to implement the various embodiments described herein;

in some embodiments, as shown in FIG. 4, the system 400 can be implemented as any of the devices described above in the various described embodiments. In some embodiments, system 400 may include one or more computer-readable media (e.g., system Memory or non-volatile Memory (non-volatile Memory) NVM/storage 420) having instructions and one or more processors (e.g., processor(s) 405) coupled with the one or more computer-readable media and configured to execute the instructions to implement modules to perform the actions described herein.

For one embodiment, system control module 410 may include any suitable interface controllers to provide any suitable interface to at least one of the processor(s) 405 and/or any suitable device or component in communication with system control module 410.

The system control module 410 may include a memory controller module 430 to provide an interface to the system memory 415. The memory controller module 430 may be a hardware module, a software module, and/or a firmware module.

System memory 415 may be used, for example, to load and store data and/or instructions for system 400. For one embodiment, system memory 415 may include any suitable volatile memory, such as suitable DRAM. In some embodiments, system memory 415 may include a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).

For one embodiment, system control module 410 may include one or more input/output (I/O) controllers to provide an interface to NVM/storage 420 and communication interface(s) 425.

For example, NVM/storage 420 may be used to store data and/or instructions. NVM/storage 420 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more Hard Disk Drive(s) (HDD (s)), one or more Compact Disc (CD) Drive(s), and/or one or more Digital Versatile Disc (DVD) Drive (s)).

NVM/storage 420 may include storage resources that are physically part of the device on which system 400 is installed or may be accessed by the device and not necessarily part of the device. For example, NVM/storage 420 may be accessed over a network via communication interface(s) 425.

Communication interface(s) 425 may provide an interface for system 400 to communicate over one or more networks and/or with any other suitable device. System 400 may wirelessly communicate with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols.

For one embodiment, at least one of the processor(s) 405 may be packaged together with logic for one or more controller(s) of the system control module 410, such as memory controller module 430. For one embodiment, at least one of the processor(s) 405 may be packaged together with logic for one or more controller(s) of the System control module 410 to form a System in a Package (SiP). For one embodiment, at least one of the processor(s) 405 may be integrated on the same die with logic for one or more controller(s) of the system control module 410. For one embodiment, at least one of the processor(s) 405 may be integrated on the same die with logic for one or more controller(s) of the System control module 410 to form a System on Chip (SoC).

In various embodiments, system 400 may be, but is not limited to being: a server, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, system 400 may have more or fewer components and/or different architectures. For example, in some embodiments, system 400 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen Display), a non-volatile memory port, a plurality of antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and a speaker.

It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.

In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Those skilled in the art will appreciate that the form in which the computer program instructions reside on a computer-readable medium includes, but is not limited to, source files, executable files, installation package files, and the like, and that the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Computer-readable media herein can be any available computer-readable storage media or communication media that can be accessed by a computer.

Communication media includes media by which communication signals, including, for example, computer readable instructions, data structures, program modules, or other data, are transmitted from one system to another. Communication media may include conductive transmission media such as cables and wires (e.g., fiber optics, coaxial, etc.) and wireless (non-conductive transmission) media capable of propagating energy waves such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied in a modulated data signal, for example, in a wireless medium such as a carrier wave or similar mechanism such as is embodied as part of spread spectrum techniques. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.

By way of example, and not limitation, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media include, but are not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and nonvolatile memories such as flash memories, various read only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic (MRAM)/Ferroelectric memories ferro electric RAM, FeRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed that can store computer-readable information/data for use by a computer system.

An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware.

The method, apparatus, computer device and storage medium for determining false orders provided by the embodiments of the present application are described in detail above, and the principles and embodiments of the present invention are explained herein by applying specific examples, and the description of the embodiments is only used to help understand the method and core ideas of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method of determining a false order, the method comprising:

2. The method of claim 1, wherein determining order evaluation information for the pending order from the order fill information comprises:

extracting key fields in the order remark information, matching the key fields with false fields of a false database, determining the matching degree of the key fields and the false fields, and determining order evaluation information of the order to be processed according to the matching degree, wherein the order evaluation information is negatively related to the matching degree.

3. The method of claim 2, wherein the degree of match comprises at least any one of:

a matching number of the key field and the false field, wherein the matching number is negatively correlated with the order evaluation information;

a similarity of the key field and the dummy field, wherein the similarity is negatively correlated with the order evaluation information.

4. A method according to claim 2 or 3, characterized in that the method further comprises:

and if the to-be-processed order is determined to be a false order, adding the key field as a sample false field to the false database.

5. The method of claim 1, wherein the order processing request further comprises delivery distance information for the order to be processed; the determining the order evaluation information of the to-be-processed order according to the order remark information includes:

and determining order evaluation information of the order to be processed according to the order remark information and the distribution distance information, wherein the order evaluation information is positively correlated with the distribution distance information.

6. The method of claim 5, wherein said determining order evaluation information for the pending order based on the order remark information and the delivery distance information comprises:

determining candidate order evaluation information of the to-be-processed order according to the order remark information, wherein the candidate order evaluation information does not meet the false evaluation condition;

and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution distance information.

7. The method of claim 1, wherein the order processing request further comprises delivery resource information for the pending order; the determining the order evaluation information of the to-be-processed order according to the order remark information includes:

and determining order evaluation information of the order to be processed according to the order remark information and the distribution resource information, wherein the order evaluation information is positively correlated with the distribution resource information.

8. The method of claim 7, wherein said determining order evaluation information for the pending order based on the order remark information and the delivery resource information comprises:

and determining the order evaluation information of the to-be-processed order according to the candidate order evaluation information and the distribution resource information.

9. The method of claim 1, wherein the order processing request further includes user identification information of the user; wherein the method further comprises:

determining user evaluation information of the user according to a historical order record corresponding to the user identification information;

the determining the order evaluation information of the to-be-processed order according to the order remark information includes:

and determining order evaluation information of the order to be processed according to the order remark information and the user evaluation information, wherein the order evaluation information is positively correlated with the user evaluation information.

10. The method according to claim 9, wherein the determining the user evaluation information of the user according to the historical order record corresponding to the user identification information comprises:

and determining the user evaluation information of the user according to the false order proportion in the historical order record corresponding to the user identification information.

11. The method of claim 1, wherein the order evaluation information satisfies a false evaluation condition comprising at least one of:

the order evaluation information is less than or equal to scoring threshold information, wherein the order evaluation information comprises scoring information used for representing the reliability degree of the order to be processed;

the order evaluation information is less than or equal to grade threshold information, wherein the order evaluation information comprises grade information used for representing the reliability degree of the order to be processed.

12. The method of claim 1, further comprising:

and if the to-be-processed order is determined to be a false order, sending correction prompt information about the to-be-processed order to the user equipment.

13. The method of claim 1, further comprising:

and if the order evaluation information does not meet the false evaluation condition, distributing the order to be processed to a corresponding order processing user according to the order evaluation information, wherein the order evaluation information corresponds to the processing evaluation information of the order processing user.

14. An apparatus for determining a false order, the apparatus comprising:

15. An apparatus for determining a false order, the apparatus comprising:

one or more processors;

a memory; and

one or more application programs, wherein the one or more application programs are stored in the memory and configured to perform operations of the method of any of claims 1-13 by the processor.

16. A computer-readable storage medium, having stored thereon a computer program which is loaded by a processor to perform operations of the method according to any of claims 1 to 13.