A method and device for identifying abnormal commodity prices

Abstract

The present application discloses a method and device for identifying abnormal commodity prices, which is used to solve the technical problem of the lack of an objective and reasonable method for identifying abnormal commodity prices in the prior art. The method includes: obtaining store information and commodity information on sale of the store to be identified; determining the industry to which the commodity to be identified belongs through the store information and the commodity information on sale; wherein the commodity to be identified is any one or more of the commodities on sale of the store to be identified; obtaining the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs, and obtaining the coupon information of the commodity to be identified; based on the industry average price and the coupon information, determining whether the price of the commodity to be identified is abnormal through a preset price warning model. The present application can identify commodities with abnormal prices through the above method, thereby improving the shopping experience of consumers.

Description

Technical Field

[0001] The present application relates to the field of data processing and identification technology, and in particular to a method and device for identifying abnormal commodity prices. Background Art

[0002] Online shopping is closely related to people's lives. It not only saves a lot of shopping time, but also provides more choices and more price advantages. However, there is also a risk of false pricing for online products, which is a price misleading to consumers. Therefore, it is very necessary for consumers to know whether the product may be priced abnormally in time.

[0003] Current methods mainly focus on consumers' subjective judgments on product evaluation and prices, and there is no reasonable and objective method to identify abnormal product pricing. Summary of the invention

[0004] The embodiments of the present application provide a method and device for identifying abnormal commodity prices, so as to solve the technical problem that there is a lack of a reasonable and objective method for identifying abnormal commodity prices in the prior art.

[0005] On the one hand, an embodiment of the present application provides a method for identifying abnormal commodity prices, including: obtaining store information and commodity information on sale of a store to be identified; determining the industry to which the commodity to be identified belongs through the store information and the commodity information on sale; wherein the commodity to be identified is any one or more of the commodities on sale of the store to be identified; obtaining the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs, and obtaining coupon information of the commodity to be identified; based on the industry average price and the coupon information, determining whether the price of the commodity to be identified is abnormal through a preset price warning model.

[0006] The abnormal commodity price identification method provided in the embodiment of the present application obtains the information of the store and the information of the commodities sold in the store, determines the industry average price of the commodity and judges whether there is any coupon information; then identifies the commodity price based on the preset price warning model. An objective and reasonable commodity price identification process is realized. In addition, for each store to be identified, early warning information feedback will be given on its commodity price, whether there may be abnormal pricing prompts, etc. Consumers can use this information to judge whether the commodity may have abnormal pricing, etc., which can avoid making misunderstandings and improve the quality of shopping.

[0007] In one possible implementation of the present application, the store information includes at least any one or more of the following: store ID number, store name, store grade, store operating years, store rating and store location; the information on products on sale includes at least any one or more of the following: product shipping location, product rating, product name, product price and product evaluation.

[0008] In a possible implementation of the present application, the industry to which the commodity to be identified belongs is determined through the store information and the commodity information on sale, specifically including: determining the industry to which the commodity to be identified belongs through the store name, the commodity name and the commodity evaluation.

[0009] In a possible implementation of the present application, obtaining the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs specifically includes: searching on a preset commodity sales website based on the commodity name of the commodity to be identified; obtaining sales information and order information on the preset sales website; obtaining several selling prices of the commodity to be identified through the sales information and order information, and determining the industry average price based on the several selling prices.

[0010] In a possible implementation of the present application, obtaining the coupon information of the product to be identified specifically includes: determining the product evaluation corresponding to the product to be identified in the store to be identified; determining whether the product evaluation contains coupon information; if not, searching on a preset product sales website through the product name of the product to be identified; and determining the coupon information of the product to be identified based on the search result.

[0011] In a possible implementation of the present application, before determining whether the price of the commodity to be identified is abnormal through a preset price warning model, the method also includes: determining the average price of the commodities on sale and determining the best-selling commodities based on the information of the commodities on sale; and determining the average price of the best-selling commodities through the order information of the store to be identified.

[0012] In a possible implementation of the present application, the determining whether the price of the commodity to be identified is abnormal through a preset price warning model specifically includes: determining whether the commodity price corresponding to the commodity to be identified is a consecutive number; if not, continuing to determine whether the commodity price is greater than 3 times the average price of the hot-selling commodity; if so, determining whether the commodity to be identified has a coupon based on the coupon information; if so, determining that the price of the commodity to be identified is abnormal.

[0013] In one possible implementation of the present application, the method further includes: if it is determined based on the coupon information that there is no coupon for the product to be identified; then continuing to determine whether the price of the product is greater than 3 times the industry average price; if so, determining that the price of the product to be identified is abnormal.

[0014] In a possible implementation of the present application, the method further includes: determining that the product price corresponding to the product to be identified is a continuous number; judging whether the product price is greater than 3 times the average price of the products on sale; if so, determining that the price of the product to be identified is abnormal.

[0015] On the other hand, an embodiment of the present application further provides a device for identifying abnormal commodity prices, comprising: a processor; and a memory having executable code stored thereon, wherein when the executable code is executed, the processor executes a method for identifying abnormal commodity prices as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 A flow chart of a method for identifying abnormal commodity prices provided in an embodiment of the present application;

[0018] Figure 2 A schematic diagram of a price warning model architecture provided in an embodiment of the present application;

[0019] Figure 3 A schematic diagram of the structure of a device for identifying abnormal commodity prices provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0021] Online shopping is closely related to people's lives. It not only saves a lot of shopping time, but also provides more choices and price advantages. However, there is also the risk of false pricing for online products, which is a price misleading for consumers. For example, a high-end cosmetics product costs more than 1,000 yuan, but there is a similar product that is also priced at more than 1,000 yuan, but there is a hidden coupon for a discount of 1,000 yuan (for example, a certain xx skin care mask is priced at 1,089 yuan, and the page does not display any discount information, but a hidden coupon for a discount of 1,000 yuan is hidden, and the actual transaction price is 89 yuan), and there are a lot of good reviews (actually reviews of low-price purchases). Therefore, it is easy to induce consumers to buy the product at a high price, resulting in a very poor shopping experience.

[0022] The current methods mainly focus on consumers' subjective judgments on reviews and prices. There are also many guiding confusions or price traps in online shopping, which make consumers fall into doubts about purchasing and make inappropriate choices. If consumers only look at a certain product based on price, sales volume and reviews, they are very likely to be misled. For example, a hot-selling product in a store is 139 yuan, has a lot of reviews, and there is no coupon collection information, so consumers can easily choose to buy it. However, the product actually hides the coupon information of 100 yuan off, so some consumers may spend 100 yuan more, resulting in a poor shopping experience, which is equivalent to buying a product worth 39 yuan for 139 yuan, which is difficult to meet the cost-effectiveness requirements.

[0023] Therefore, it is very necessary for consumers to be able to provide an objective and reasonable method for identifying commodity prices.

[0024] The abnormal commodity price identification method provided in the embodiment of the present application is to identify whether the store has abnormal prices for the commodities it sells by obtaining the average price of the commodity industry, the store's operating conditions, and coupon information, so as to provide a reference for consumers. The technical solution proposed in the embodiment of the present application is described in detail below with the help of the accompanying drawings.

[0025] Figure 1 This is a flow chart of a method for identifying abnormal commodity prices provided in an embodiment of the present application. Figure 1 As shown, the commodity price identification method in the embodiment of the present application mainly includes the following steps:

[0026] Step 101: Obtain store information and product information on sale of the store to be identified.

[0027] The method for identifying abnormal commodity prices provided in the embodiments of the present application first determines the commodity to be identified and then determines the store to which the commodity belongs, or first determines the store to be identified and then identifies the commodities in the store.

[0028] Regardless of whether the product to be identified is determined first or the store to be identified is determined first, the store information and the product information on sale of the store to be identified will be obtained. It should be noted that the store information and the product information on sale can be obtained through existing technologies such as web crawlers, or directly obtained from the backend of the e-commerce platform on which the store to be identified relies, and this embodiment of the application does not limit this.

[0029] In one or more embodiments of the present application, the above-mentioned store information mainly includes any one or more of the store ID number, store name, store grade, store operating years, store rating and store location; and the information on the products on sale mainly includes any one or more of the product shipping location, product rating, product name, product price and product evaluation.

[0030] It should be noted that what is obtained in the embodiment of the present application is the product information of the products on sale. As for the products that have been sold historically in the store to be identified, since consumers can no longer buy them, there is no need to evaluate whether the prices of the products are normal. Therefore, in the embodiment of the present application, the information of all the products in the store is not obtained, but only the information of the products currently on sale is obtained, that is, only the prices of the products currently on sale in the store are evaluated to see if there are any abnormalities.

[0031] Step 102: Determine the industry to which the product to be identified belongs based on the store information and the product information on sale.

[0032] After obtaining the store information and the information of the products on sale, the industry to which the products sold in the store belong can be obtained on the e-commerce platform on which the store relies based on the store information, such as the store ID number, store name, etc., and then the industry to which the product to be identified belongs can be determined.

[0033] Of course, some store names are more obscure, and it is not easy to directly obtain the business scope of the store through the store name, and it is not easy to determine the specific industry to which the store belongs. In this case, it is also possible to directly determine the industry to which the product to be identified belongs based on the product name and / or product evaluation (which must contain product-related content) of the product to be identified.

[0034] Step 103: Obtain the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs, and obtain coupon information of the commodity to be identified.

[0035] After determining the industry to which the commodity to be identified belongs, the average industry price within the industry can be obtained. Specifically, first, based on the name of the commodity to be identified, determine one or more corresponding commodity sales websites, such as a website that specializes in selling building materials. Secondly, search or retrieve the commodity name of the commodity to be identified on the commodity sales website. It is clear that after entering a certain commodity name in the search box of a certain sales website, the corresponding web page will show the sales information of several different merchants. Based on the commodity prices corresponding to these two sales information, the corresponding industry average price of the commodity to be identified on the website can be determined. If there are multiple websites to search, the industry average prices determined on each website are averaged to obtain the industry average price of the commodity to be identified.

[0036] In addition, based on the sales information on a certain sales website, the order information of the product to be identified can also be obtained on the website. The order information must contain the historical transaction price of the product to be identified. Therefore, the industry average price can also be determined based on the historical transaction price in the order information.

[0037] It should be noted that the industry average price determined based on the historical transaction price in the order information can only reflect the industry average price in a certain period of time in the past, while the industry average price determined based on the commodity sales information is generally the expected price of the merchant. There will be a certain gap between the two prices. Merchants want to sell at a high price, and consumers want to spend less money. Therefore, in the embodiment of the present application, the sales information of the commodity and several prices in the order information are comprehensively considered, and the average value is calculated to obtain a more realistic industry average price of the commodity to be identified.

[0038] Furthermore, if you want to identify whether the price of a product is abnormal, you also need to determine whether the product has hidden coupon information. Therefore, in the embodiment of the present application, after determining the industry average price of the product to be identified, the coupon information of the product to be identified will continue to be determined to determine whether the product to be identified has a coupon.

[0039] Specifically, for the purpose of publicity and profit, the coupon issuer will require consumers who use coupons to indicate in the product evaluation that they have used the discount information recommended by xx, so as to attract more consumers to use the coupons and earn commissions from it. Therefore, in the embodiment of the present application, to determine whether the product to be identified has coupon information, first obtain the product evaluation of the product to be identified in the store to be identified, and then use the preset recognition technology to identify whether the product evaluation information contains keywords such as "coupon", "discount", "recommendation", etc., and based on the above keywords, determine whether the product evaluation contains coupon information.

[0040] Furthermore, if the product evaluation does not involve the above keywords, that is, does not involve coupon information, then the product name of the product to be identified can also be searched on a preset product sales website, or on a preset coupon public account or coupon website, and then the coupon information of the product to be identified can be determined based on the search results.

[0041] It should be noted that the coupon information of the commodity to be identified in the embodiment of the present application may only include whether the commodity to be identified contains a coupon, and does not necessarily have to include other information such as the face value of the coupon.

[0042] Step 104: Based on the industry average price and the coupon information, determine whether the price of the commodity to be identified is abnormal through a preset price warning model.

[0043] After obtaining the industry average price and coupon information of the commodity to be identified, it is possible to identify whether the commodity price is abnormal through the preset price warning model. However, in order to ensure the accuracy of the identification results and the objectivity and rationality of the identification process, and at the same time, to ensure the comprehensiveness of the content considered in the identification process, the embodiment of the present application will also determine the average price of the goods on sale and the average price of the hot-selling goods in the store to be identified before the above-mentioned identification process. It should be noted that the average price of the goods on sale can be obtained by taking the average price of all the goods on sale in the store to be identified; the average price of the hot-selling goods can be obtained by obtaining order information through the e-commerce platform that the store to be identified relies on, and then determining the hot-selling goods of the store, and then determining the average price of the hot-selling goods based on the transaction price and the current price in the order information corresponding to the hot-selling goods.

[0044] Furthermore, by comprehensively considering four identification indicators, namely, the average price of goods on sale in the store to be identified, the average price of hot-selling goods, the industry average price, and coupon information, an embodiment of the present application provides a price warning model. Based on the price warning model and the above four identification indicators, it can be determined whether the price of the goods to be identified is abnormal.

[0045] Figure 2 A schematic diagram of a price warning model architecture provided in an embodiment of the present application. Figure 2 As shown, the model determines whether the price of the commodity to be identified is abnormal through the following process.

[0046] Specifically, based on the store information and product information, the model first determines whether the product price is a serial number such as 9999. If not, it continues to determine whether the product price is greater than 3 times the average price of the store's best-selling products. If not, it means that the product price is relatively normal. If it is greater, it continues to determine whether there is a coupon for the product to be identified based on the coupon information. If so, it means that the product price is abnormal; if not, it continues to determine whether the product price is greater than 3 times the industry average price. If not, it means that the product price is relatively normal. If it is, it means that the product price may be abnormal; at this time, it continues to determine whether the store has abnormal operations such as brushing orders, etc. If so, it is determined that the product price is abnormal.

[0047] Furthermore, if the price of the product to be identified is a consecutive number such as 9999, then continue to determine whether the product price is greater than 3 times the average price of the store's products. If so, it means that the product price is abnormal; if not, continue to determine whether the product price is greater than 3 times the industry average price. If so, it is determined that the product price is abnormal; if not, continue to determine whether the product price is greater than 3 times the average price of the store's best-selling products. If so, it is determined that the product price is abnormal; if not, continue to determine whether the store to be identified has abnormal operations. If so, it is determined that the product price is abnormal.

[0048] It should be noted that Figure 2 This is only an exemplary description provided in the embodiment of the present application, and is not intended to limit the specific execution process of the price warning model in the embodiment of the present application. It is understandable that the price warning model in the embodiment of the present application only needs to comprehensively consider the four identification indicators of the average price of the goods on sale, the average price of the hot-selling goods, the industry average price and the coupon information, and can identify abnormal commodity prices. The embodiment of the present application does not limit this.

[0049] For example, the price warning model in the embodiment of the present application can also be designed through the following process:

[0050] (1) Determine whether there is a special price: the product price is a consecutive number such as 9999, 8888, etc.

[0051] (2) Excluding special prices, compare the marked price of the product with the average price of the industry to which the product belongs. Is there a large gap? For example, 3 times.

[0052] (3) Excluding the impact of the industry average price, make a judgment on the store's products to determine whether the product's price is much higher than the store's average price, and whether the product's price is much higher than the average price of best-selling products; for example, 3 times.

[0053] (4) Continue to determine whether there are product coupons, etc.

[0054] The above is a method embodiment provided by the embodiment of the present application. Based on the same inventive concept, the embodiment of the present application also provides a device for identifying abnormal commodity prices, and its structure is as follows: Figure 3 shown.

[0055] Figure 3 This is a schematic diagram of a device structure for identifying abnormal commodity prices provided in an embodiment of the present application. Figure 3 As shown, it includes: a processor; and a memory, on which executable codes are stored. When the executable codes are executed, the processor executes the above-mentioned method for identifying abnormal commodity prices.

[0056] In one or more embodiments of the present application, the processor is used to obtain store information and product information on sale of a store to be identified; and is used to determine the industry to which the product to be identified belongs through the store information and the product information on sale; wherein the product to be identified is any one or more of the products on sale of the store to be identified; it is also used to obtain the industry average price of the product to be identified in the industry to which the product to be identified belongs, and to obtain coupon information of the product to be identified; it is also used to determine whether the price of the product to be identified is abnormal based on the industry average price and the coupon information through a preset price warning model.

[0057] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0058] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0059] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for identifying abnormal commodity prices, characterized in that: The method comprises: Obtain store information and product information on sale of the store to be identified; Determine the industry to which the commodity to be identified belongs through the store information and the commodity information on sale; wherein the commodity to be identified is any one or more of the commodities on sale in the store to be identified; Obtaining the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs; Acquiring the coupon information of the commodity to be identified specifically includes: determining the commodity evaluation corresponding to the commodity to be identified in the store to be identified; determining whether the commodity evaluation contains coupon information; if not, searching on a preset commodity sales website by the commodity name of the commodity to be identified; and determining the coupon information of the commodity to be identified based on the search result; Based on the information of the goods on sale, determine the average price of the goods on sale and determine the best-selling goods; determine the average price of the best-selling goods through the order information of the store to be identified; Based on the industry average price and the coupon information, determining whether the price of the commodity to be identified is abnormal through a preset price warning model includes: determining whether the commodity price corresponding to the commodity to be identified is a consecutive number; if not, continuing to determine whether the commodity price is greater than 3 times the average price of the hot-selling commodity; if so, determining whether the commodity to be identified has a coupon based on the coupon information; if so, determining that the price of the commodity to be identified is abnormal; If it is determined based on the coupon information that there is no coupon for the commodity to be identified, then continue to determine whether the price of the commodity is greater than 3 times the industry average price; if so, then determine that the price of the commodity to be identified is abnormal; Determine that the commodity price corresponding to the commodity to be identified is a serial number; determine whether the commodity price is greater than 3 times the average price of the commodities on sale; if so, determine that the price of the commodity to be identified is abnormal.

2. A method for identifying abnormal commodity prices according to claim 1, characterized in that: The store information includes at least one or more of the following: store ID number, store name, store grade, store operating years, store rating, and store location; The information of the goods on sale includes at least one or more of the following: the place of shipment of the goods, the rating of the goods, the name of the goods, the price of the goods and the evaluation of the goods.

3. A method for identifying abnormal commodity prices according to claim 2, characterized in that: Determine the industry to which the product to be identified belongs through the store information and the product information on sale, including: The industry to which the to-be-identified product belongs is determined based on the store name, the product name, and the product evaluation.

4. The method for identifying abnormal commodity prices according to claim 1, characterized in that: Obtaining the industry average price of the commodity to be identified in the industry to which the commodity to be identified belongs, specifically includes: Based on the product name of the product to be identified, searching on a preset product sales website; Obtaining sales information and order information on the preset sales website; Through the sales information and order information, several selling prices of the to-be-identified commodity are obtained, and based on the several selling prices, the industry average price is determined.

5. A device for identifying abnormal commodity prices, characterized in that: The device comprises: processor; and a memory having executable codes stored thereon, which, when the executable codes are executed, enable the processor to execute a method for identifying abnormal commodity prices as described in any one of claims 1 to 4.

Images