An information processing method, apparatus, device, and storage medium

Abstract

Embodiments of the present application disclose an information processing method, device and equipment and a storage medium, the method comprising: matching a target knowledge graph of a target item with supply knowledge graphs of each supply item contained in a supply database, determining the supply item corresponding to the target item according to the matching result; obtaining a supply value attribute value of the supply item corresponding to the target item within a preset time period; and displaying the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset manner. The above technical solution determines the supply item corresponding to the target item according to the matching result of the target knowledge graph and each supply knowledge graph, improves the efficiency of determining the supply item corresponding to the target item, obtains and displays the supply value attribute value of the supply item corresponding to the target item within the preset time period, and facilitates the observation of the change state of the supply value attribute value of each supply item within the preset time period by the staff.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to an information processing method, apparatus, device and storage medium. Background Technology

[0002] With the development of internet technology, more and more companies are choosing to acquire their daily necessities through online platforms. Because companies need to acquire a variety of items, staff need to monitor the fluctuations in the value attributes of various items offered by different suppliers and make timely judgments to schedule more appropriate acquisition times and rationally select suppliers based on changes in value attributes.

[0003] In existing technologies, staff first need to obtain the link information of the supply items corresponding to the target item from the Internet platform, and then input the link information into the management system. The management system can then determine the supply value attribute value of the supply item corresponding to the link information, and finally export and display the supply value attribute value of the supply item.

[0004] In the process of realizing this invention, the inventors discovered at least the following technical problems in the prior art:

[0005] Unable to automatically obtain the supply items corresponding to the target item and the supply value attribute value of the supply items. Summary of the Invention

[0006] This invention provides an information processing method, apparatus, device, and storage medium to automatically acquire the supply items corresponding to the target item and the supply value attribute value of the supply items, thereby improving the efficiency of acquiring the supply items corresponding to the target item.

[0007] In a first aspect, embodiments of the present invention provide an information processing method, comprising:

[0008] The target knowledge graph of the target item is matched with the supply knowledge graph of each supply item contained in the supply database, and the supply item corresponding to the target item is determined based on the matching result.

[0009] Obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period;

[0010] The supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method.

[0011] Secondly, embodiments of the present invention also provide an information processing apparatus, comprising:

[0012] The matching module is used to match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database, and determine the supply item corresponding to the target item based on the matching result;

[0013] The acquisition module is used to acquire the supply value attribute value of the supply item corresponding to the target item within a preset time period;

[0014] The display module is used to display the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method.

[0015] Thirdly, embodiments of the present invention also provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the information processing method as described in any of the first aspects.

[0016] Fourthly, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the information processing method as described in any of the first aspects.

[0017] The embodiments of the above invention have the following advantages or beneficial effects:

[0018] This invention provides an information processing method, comprising: matching a target knowledge graph of a target item with a supply knowledge graph of each supply item contained in a supply database; determining the supply item corresponding to the target item based on the matching result; obtaining the supply value attribute value of the supply item corresponding to the target item within a preset time period; and displaying the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method. The above technical solution firstly matches the target knowledge graph corresponding to the target item with the supply knowledge graph corresponding to each supply item in the supply database, and determines the supply item corresponding to the target item in the supply database based on the matching result, thereby automatically obtaining the supply item corresponding to the target item and improving the efficiency of determining the supply item based on the target item. Secondly, it can obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period, and then display the supply value attribute value of the supply item corresponding to the target item within the preset time period in the display interface according to a preset method, thereby automatically obtaining and displaying the supply value attribute value of the supply item corresponding to the target item. This facilitates staff to observe the change status of the supply value attribute value of the supply item corresponding to the target item within the preset time period, and provides a data basis for determining the owner of the supply item corresponding to the target item and determining the time to obtain the supply item from the owner. Attached Figure Description

[0019] Figure 1 A flowchart of an information processing method provided in an embodiment of the present invention;

[0020] Figure 2 This invention provides an embodiment of an information processing method that displays a line graph of the target value attribute value and the supply value attribute value.

[0021] Figure 3 This is a schematic diagram of an interface for displaying the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within a preset time period in an information processing method provided by an embodiment of the present invention.

[0022] Figure 4 A flowchart of another information processing method provided in an embodiment of the present invention;

[0023] Figure 5 A schematic diagram of the target knowledge graph corresponding to the target item in another information processing method provided in an embodiment of the present invention;

[0024] Figure 6 A flowchart of step 420 in another information processing method provided in an embodiment of the present invention;

[0025] Figure 7 A schematic diagram illustrating the alignment of a target knowledge graph and a supply knowledge graph in another information processing method provided in an embodiment of the present invention;

[0026] Figure 8 A schematic diagram of an interface for displaying a target item and the corresponding basic supply items in another information processing method provided in an embodiment of the present invention;

[0027] Figure 9 Another flowchart of step 420 in another information processing method provided in an embodiment of the present invention;

[0028] Figure 10 A schematic diagram of an information processing system provided in an embodiment of the present invention;

[0029] Figure 11 This is a schematic diagram of the structure of an information processing device provided in an embodiment of the present invention;

[0030] Figure 12 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0031] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0032] Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the figures. The process can correspond to a method, function, procedure, subroutine, subroutine, etc. Moreover, embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0033] Multiple different owners of a target item can provide corresponding supplies. Current technology cannot establish a direct correspondence between the target item and each supply. Staff must rely on keyword searches on internet platforms to determine the corresponding supplies. This method cannot access all supply items provided by all owners on the internet platform, and it involves a large search volume, resulting in low efficiency and high labor costs. Furthermore, it is difficult to statistically analyze the supply value attributes of the corresponding supplies.

[0034] Therefore, the present invention provides an information processing method that, after determining the supply item corresponding to the target item and the supply value attribute value of the supply item, displays the supply value attribute value of the supply item.

[0035] The information processing method provided by the present invention will be described in detail below with reference to the illustrations and embodiments.

[0036] Figure 1 This is a flowchart illustrating an information processing method provided by an embodiment of the present invention. This embodiment is applicable to situations requiring the observation of the supply value attribute values ​​of supply items corresponding to a target item within a preset time period. The method can be executed by an information processing device, which can be implemented in software and / or hardware. Figure 1 The method specifically includes the following steps:

[0037] Step 110: Match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database, and determine the supply item corresponding to the target item based on the matching result.

[0038] Internet platforms contain a large number of items supplied by various owners. To determine the corresponding supply for a target item, a supply database can be established based on all the supply items supplied by all owners of items on the internet platform. This supply database can include item information for all the supply items supplied by all owners of items on the internet platform, and the item information can include identification information and attributes.

[0039] The target item can be the item to be acquired.

[0040] Specifically, firstly, the target knowledge graph corresponding to the target item can be determined. This can be done by building a knowledge graph based on the target item's identifier and attributes, and then designating this knowledge graph as the target knowledge graph. The target knowledge graph can include target entities and target attributes. Similarly, the supply knowledge graphs corresponding to each supply item in the supply database can be determined. These supply knowledge graphs can also include supply entities and supply attributes. Then, the target knowledge graph corresponding to the target item can be aligned and matched with the supply knowledge graphs corresponding to each supply item in the supply database. If the supply entities in the supply knowledge graph match the target entities in the target knowledge graph, and the supply attributes in the supply knowledge graph align with the target attributes in the target knowledge graph, then the supply item corresponding to the supply knowledge graph containing that supply entity and attribute is determined to be the supply item corresponding to the target item.

[0041] In this embodiment of the invention, the supply item corresponding to the target item is determined in the supply database based on the target knowledge graph corresponding to the target item and the supply knowledge graph corresponding to each supply item contained in the supply database, thereby improving the efficiency of determining the supply item.

[0042] Step 120: Obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period.

[0043] The preset time period can be determined based on the time distance between the latest acquisition deadline and the current time. For example, if the latest acquisition deadline is one week later, the preset time period can be determined to be one week. The supply value attribute value of the supply items corresponding to the target item can be obtained within one week; the supply value attribute value can be the supply value corresponding to the supply item.

[0044] Specifically, suppliers typically attract consumers by lowering the supply value attribute value—that is, by reducing prices. Therefore, the supply value attribute values ​​of each item in the supply database change over time. Consequently, it's possible to track the supply items corresponding to a target item within a preset time period to obtain the supply value attribute values ​​of those supply items within that time period.

[0045] In this embodiment of the invention, the supply items corresponding to the target item are tracked within a preset time period determined by the time distance between the latest acquisition deadline and the current time. This enables the acquisition of changes in the supply medium attribute values ​​of the supply items corresponding to the target item within the preset time period, providing a data basis for determining the final owner of the target item and the time for acquiring the supply items corresponding to the target item from the final owner.

[0046] Step 130: Display the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method.

[0047] Specifically, the supply value attribute values ​​of the supply items corresponding to the target item within a preset time period can be displayed in tabular and / or line graph format. The target value attribute value of the target item can also be displayed when showing the supply value attribute values ​​of the supply items corresponding to the target item.

[0048] For example, the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period can be displayed based on the table shown in Table 1.

[0049] Table 1

[0050]

[0051] Figure 2 A line graph displaying the target value attribute value and the supply value attribute value is provided in an information processing method according to an embodiment of the present invention, such as... Figure 2 As shown, the horizontal axis can represent time, and the vertical axis can represent value attribute values, or it can be based on... Figure 2 The line graph shown displays the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period.

[0052] Figure 3 This is a schematic diagram of an interface for displaying the target value attribute value and the supply value attribute value of the corresponding supply item within a preset time period in an information processing method provided by an embodiment of the present invention. Figure 3 As shown, the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period can be displayed in tabular and line graph formats. The first area can display the identification information and target value attribute value of the target item; the second area can display the supply value attribute value of the corresponding supply item within a preset time period in tabular format; and the third area can display the supply value attribute value of a single supply item corresponding to the target item within a historical time period in line graph format. Of course, the historical time period can include the preset time period.

[0053] In this embodiment of the invention, the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period are displayed in tabular and / or line graph form, which facilitates staff to observe the change status of the supply value attribute value of each supply item within the preset time period.

[0054] An information processing method provided by an embodiment of the present invention includes: matching a target knowledge graph of a target item with a supply knowledge graph of each supply item contained in a supply database; determining the supply item corresponding to the target item based on the matching result; obtaining the supply value attribute value of the supply item corresponding to the target item within a preset time period; and displaying the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method. The above technical solution firstly matches the target knowledge graph corresponding to the target item with the supply knowledge graph corresponding to each supply item in the supply database, and determines the supply item corresponding to the target item in the supply database based on the matching result, thereby automatically obtaining the supply item corresponding to the target item and improving the efficiency of determining the supply item based on the target item. Secondly, it can obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period, and then display the supply value attribute value of the supply item corresponding to the target item within the preset time period in a preset manner on the display interface, thereby automatically obtaining and displaying the supply value attribute value of the supply item corresponding to the target item. This facilitates staff to observe the change status of the supply value attribute value of each supply item within the preset time period, and provides a data basis for determining the final owner of the supply item corresponding to the target item, as well as determining the time to obtain the supply item from the final owner.

[0055] Figure 4This is a flowchart of another information processing method provided by an embodiment of the present invention. This embodiment is applicable to situations where it is necessary to observe the supply value attribute value of the supply item corresponding to the target item within a preset time period. Based on the above embodiments, this embodiment adds the following steps before matching the target knowledge graph of the target item with the supply knowledge graphs of each supply item contained in the supply database: "Determine the target knowledge graph based on the identification information and attributes of the target item, and determine the supply knowledge graph based on the identification information and attributes of each supply item contained in the supply database." After obtaining the supply value attribute value of the supply item corresponding to the target item within the preset time period, the following steps are added: "Determine the change state of the supply value attribute value of the supply item within the preset time period;" and "Determine the target value attribute value of the target item, and determine the difference between the target value attribute value and the supply value attribute value of the supply item within the preset time period; determine the change state of the difference based on preset maximum difference thresholds and minimum difference thresholds." Explanations of terms identical or corresponding to those in the above embodiments are not repeated here. See also... Figure 4 The information processing method provided in this embodiment of the invention includes:

[0056] Step 410: Determine the target knowledge graph based on the identification information and attributes of the target item, and determine the supply knowledge graph based on the identification information and attributes of each supply item contained in the supply database.

[0057] First, a supply database can be constructed, containing information on all supplied items from all owners of items within the internet platform. This provides the data foundation for determining the corresponding supplied items for a target item. Specifically, after obtaining the item information from each owner, the information can be processed to remove null values, incomplete data, and substandard data. This information is then stored in the database, thus constructing the supply database. The supply database can include item information from all owners of items on the internet platform, specifically including the identification information, attributes, and supply value attributes of all supplied items.

[0058] Of course, the supply value attribute value of the supplied items may change over time. Therefore, the supply database can be updated based on the actual item information of the supplied items within the internet platform.

[0059] In addition, target items need to be set, and subsequent matching will revolve around these target items. Specifically, a target item database can be built based on a database of items to be acquired or a table of items to be acquired. Alternatively, items to be acquired can be manually selected to supplement the target item database. Of course, when the items to be acquired change, the database and table of items to be acquired will be updated accordingly, and consequently, the target item database will also be updated. Then, target items can be retrieved from the target item database according to item type, or target items can be manually selected from the target item database.

[0060] In one embodiment, step 410 may specifically include:

[0061] First title information is determined based on the identification information of the target item; first attribute information is determined based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the target item; and the target knowledge graph is determined based on the first title information and the first attribute information. For each supply item included in the supply database, second title information is determined based on the identification information of the supply item; second attribute information is determined based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the supply item; and the supply knowledge graph corresponding to the supply item is determined based on the second title information and the second attribute information.

[0062] For example, the target item could be mobile phone A, and the identification information of the target item could be "New A mobile phone with 5000mAh large capacity a32a35 upgraded full-screen photography smartphone with long battery life and large memory, dream white, 8G+128G, and full network compatibility". Therefore, the first title information can be determined to be "New A mobile phone with 5000mAh large capacity a32a35 upgraded full-screen photography smartphone with long battery life and large memory, dream white, 8G+128G, and full network compatibility". The target item's basic attributes are "A mobile phone, 500.00g, 128G, 8G, 13MP, 8MP", and its ownership transfer attributes are "A Dream White, Full Netcom, etc.". Supplementary attributes are "5000mAh, a32a35, resolution, other screen ratios, other screen front camera combinations, other chargers: 9V / 2A, etc." Therefore, the first attribute information can be determined as "Brand: A, Name: A mobile phone, Item No.: 10036519080038, Gross weight: 500.00g, RAM: 8G, Internal storage: 128G, Number of cameras: triple rear cameras, Rear main camera pixel: 13MP, Front main camera pixel: 8MP, Resolution: other screen ratios: other screen front camera combinations: other chargers: 9V / 2A."

[0063] Furthermore, the first title information and the first attribute information can be converted into a knowledge graph storage format to construct the target knowledge graph corresponding to the target item. Figure 5This is a schematic diagram of the target knowledge graph corresponding to the target item in another information processing method provided in an embodiment of the present invention, as shown below. Figure 5 As shown, the target item can be identified as an item entity, and the first title information and first attribute information can be identified as attributes of the item entity, thus constructing a target knowledge graph. In practical applications, the target knowledge graph can be stored as feature vectors. Of course, Figure 5 The target knowledge graph shown is for illustrative purposes only and does not display all the attributes of the item entity corresponding to the target item.

[0064] For each supply item contained in the supply database, the second title information and second attribute information of the supply item can be determined in the same way, and the supply knowledge graph corresponding to the supply item can be determined based on the second title information and second attribute information.

[0065] In this embodiment of the invention, the target knowledge graph corresponding to the target item may contain the item information of the target item, and the supply knowledge graph corresponding to the supply item may contain the item information of the supply item. The target knowledge graph and the supply knowledge graph can provide a data basis for alignment and matching, so as to determine the supply item corresponding to the target item in the supply database.

[0066] Step 420: Match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database, and determine the supply item corresponding to the target item based on the matching result.

[0067] Figure 6 A flowchart of step 420 in another information processing method provided in an embodiment of the present invention is shown below. Figure 6 As shown, step 420 may specifically include:

[0068] Step 4210: Align and match the first title information contained in the target knowledge graph with the second title information contained in each of the supply knowledge graphs, and align and match the first attribute information contained in the target knowledge graph with the second attribute information contained in each of the supply knowledge graphs.

[0069] Item matching requires using a target item as the target and matching it with supply items to establish a one-to-many matching relationship between the target item and the supply items, meaning that one target item can be matched with multiple supply items.

[0070] Specifically, target word vectors can be determined based on the target knowledge graph corresponding to the target item. Then, based on these target word vectors, an exploration and search can be performed in the supply knowledge graph corresponding to the supply items, with alignment and matching based on entities and attributes. For example, an alignment and matching can be performed based on a word vector text similarity comparison model trained using Word2vec, specifically, the alignment and matching of the first title information contained in the target knowledge graph with the second title information contained in each supply knowledge graph, and the alignment and matching of the first attribute information contained in the target knowledge graph with the second attribute information contained in each supply knowledge graph.

[0071] Step 4211: Determine the supply item corresponding to the supply knowledge graph that meets the matching conditions as the supply item corresponding to the target item.

[0072] In one embodiment, step 4211 may specifically include:

[0073] If the second title information contained in the supply knowledge graph is semantically aligned with the first title information, and the second attribute information contained therein is semantically aligned with the first attribute information, then the supply item corresponding to the supply knowledge graph is determined as the supply item corresponding to the target item.

[0074] The preset threshold can be set according to actual needs.

[0075] As mentioned earlier, the semantic similarity between the second title information contained in the supply knowledge graph and the first title information contained in the target knowledge graph can be determined based on the word vector text similarity comparison model trained using Word2vec, as well as the semantic similarity between the second attribute information contained in the supply knowledge graph and the first attribute information contained in the target knowledge graph.

[0076] Semantic alignment can include full alignment, similarity alignment, and basic alignment.

[0077] If the semantic similarity between the second title information contained in the supply knowledge graph and the first title information contained in the target knowledge graph is 100%, then the second title information contained in the supply knowledge graph is determined to be completely aligned with the first title information; if the semantic similarity between the second title information contained in the supply knowledge graph and the first title information contained in the target knowledge graph is greater than a preset threshold, then the second title information contained in the supply knowledge graph is determined to be aligned with the first title information in terms of similarity.

[0078] Accordingly, if the semantic similarity between the second attribute information contained in the supply knowledge graph and the first attribute information contained in the target knowledge graph is 100%, then it is determined that the second attribute information contained in the supply knowledge graph is completely aligned with the first attribute information contained in the target knowledge graph; if the semantic similarity between the second attribute information contained in the supply knowledge graph and the first attribute information contained in the target knowledge graph is greater than a preset threshold, then it is determined that the second attribute information contained in the supply knowledge graph is similar to the first attribute information contained in the target knowledge graph; if the semantic similarity between the basic attributes in the second attribute information contained in the supply knowledge graph and the basic attributes in the first attribute information contained in the target knowledge graph is 100%, and if the semantic similarity between the ownership migration attributes and supplementary attributes in the second attribute information contained in the supply knowledge graph and the ownership migration attributes and supplementary attributes in the first attribute information contained in the target knowledge graph is greater than a preset threshold, then it is determined that the second attribute information contained in the supply knowledge graph is basically aligned with the first attribute information contained in the target knowledge graph.

[0079] Figure 7 This is a schematic diagram illustrating the alignment of the target knowledge graph and the supply knowledge graph in another information processing method provided by an embodiment of the present invention, as shown below. Figure 7 As shown, the left side is the supply knowledge graph corresponding to the supplied item, and the right side is the target knowledge graph corresponding to the target item. The item entities in the target knowledge graph and the item entities in the supply knowledge graph have the same semantics. The rear camera, weight, front camera, and memory card included in the basic attributes are completely aligned. The brand semantics included in the basic attributes are aligned, and the memory similarity included in the basic attributes is aligned. Therefore, it can be determined that the supply knowledge graph is aligned with the target knowledge graph, and thus the supply item corresponding to the supply knowledge graph can be identified as the supply item corresponding to the target item.

[0080] In practical applications, after determining the supply items corresponding to the target item, the target item and its corresponding supply items can be displayed based on a preset interface. Figure 8 This is a schematic diagram of an interface displaying a target item and its corresponding basic supply items in another information processing method provided in an embodiment of the present invention, as shown below. Figure 8 As shown, the first area can display the identification information, item type, and target value attribute value of the target item; the second area can display the identification information, item type, and supply value attribute value of the corresponding supply item; and it can also display the similarity between the corresponding supply item and the target item.

[0081] Of course, user-triggered operations can also be received based on the delete and label controls in the second area to label, review, and add / delete the supply items corresponding to the target items displayed in the second area, and to delete or label abnormal supply items.

[0082] In practical applications, the supply items corresponding to the target item can also be determined directly through the target knowledge graph and the supply knowledge graphs.

[0083] In this embodiment of the invention, the basic supply items corresponding to the target item are determined by matching the target knowledge graph corresponding to the target item with the supply knowledge graphs corresponding to each supply item contained in the supply database.

[0084] Figure 9 Another flowchart of step 420 in another information processing method provided in an embodiment of the present invention is as follows: Figure 9 As shown, step 420 may specifically include:

[0085] Step 4220: Match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database.

[0086] Step 4221: Determine the supply items corresponding to the supply knowledge graph that meet the matching conditions as the basic supply items corresponding to the target item.

[0087] Based on the matching method described above, the basic supply items corresponding to the target item can be determined from the supply items contained in the supply database.

[0088] Step 4222: Based on the supplementary information related to the target item input by the user, determine the supplementary supply items corresponding to the target item.

[0089] The supplementary information can be the Uniform Resource Locator (URL) of the supplied items on the Internet platform.

[0090] Specifically, based on the URL of the supplied item entered by the user on the internet platform, the corresponding supplementary supply item can be determined. This supplementary supply item can be used to replenish the basic supply items.

[0091] In this embodiment of the invention, supplementary supply items corresponding to the target item are determined by supplementary information related to the target item input by the user.

[0092] Step 4223: Determine the basic supply items and the supplementary supply items as the supply items corresponding to the target item.

[0093] Specifically, supplementary supplies can be provided as a complement to the basic supplies in order to determine the supply items corresponding to the target item.

[0094] In this invention, the basic supply items corresponding to the target item are determined in the supply database based on the target knowledge graph corresponding to the target item, and the supplementary supply items corresponding to the target item are determined based on the supplementary information related to the target item input by the user. The supply items corresponding to the target item are determined by combining the basic supply items and the supplementary supply items, thereby improving the efficiency of determining the supply items corresponding to the target item.

[0095] Step 430: Obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period; determine the change status of the supply value attribute value of the supply item corresponding to the target item within the preset time period.

[0096] As described in the previous embodiment, the supply items corresponding to the target item can be tracked within a preset time period determined by the time distance between the latest acquisition deadline and the current time, so as to obtain the supply medium attribute value of the supply items corresponding to the target item within the preset time period. Of course, the change status of the supply medium attribute value of the supply items corresponding to the target item within the preset time period can also be determined, so as to provide a data basis for determining the owner of the supply items corresponding to the target item and determining the time of obtaining the supply items from the owner.

[0097] Step 440: Determine the target value attribute value of the target item, and determine the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period; determine the change state of the difference based on the preset maximum difference threshold and minimum difference threshold.

[0098] Specifically, the difference between the target value attribute value and the supply value attribute value of the corresponding supply item within a preset time period can be determined. A maximum and minimum difference threshold can be determined based on the acquisition demand for the target item. If the difference between the target value attribute value of the target item and the supply value attribute value of the corresponding supply item is greater than the maximum difference threshold, it indicates that the supply value attribute value of the corresponding supply item is too high, and the supply item needs to be removed. If the difference between the target value attribute value of the target item and the supply value attribute value of the corresponding supply item is less than the minimum difference threshold, it indicates that the supply value attribute value of the corresponding supply item is sufficiently low, and the supply item can be acquired at this time. After determining the difference between the target value attribute value and the supply value attribute value of the corresponding supply item within a preset time period, the change state of the difference can be determined.

[0099] Step 450: Display the target value attribute value, the supply value attribute value of the supply item corresponding to the target item within the preset time period and the change status of the supply value attribute value, the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period and the change status of the difference, based on a preset chart format.

[0100] Specifically, such as Figure 3 The second area, as shown, can display the target value attribute value of the target item, the supply value attribute value of the corresponding supply item within a preset time period, and the change status of the supply value attribute value in a table format. Of course, in practical applications, after determining the difference between the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within the preset time period, it can be further analyzed... Figure 3 The second area shown displays the supply value attribute value of the supply item corresponding to the target item, and also displays the difference between the target value attribute value and the supply value attribute value of the supply item, as well as the change status of the difference.

[0101] like Figure 3 The third area shows a line graph that displays the target value attribute value, the supply value attribute value of the corresponding supply item within a preset time period, and the change status of the supply value attribute value. In practical applications, different types of lines can be used to display the supply value attribute value of each supply item corresponding to the target item. For example, dashed lines, dotted lines, etc., can be used to display the supply value attribute value of each supply item. Similarly, after determining the difference between the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period, since the difference is much smaller than the target value attribute value and the supply value attribute value, different types of lines can also be used to display the difference between the target value attribute value of the target item and the supply value attribute value of the corresponding supply item within a preset time period, and the change status of the difference. If the difference is greater than the maximum difference threshold, then... Figure 3 In the line graph of the third region, the supply value attribute value is represented by a first preset shape. If the difference is less than the minimum difference threshold, then... Figure 3 The supply value attribute value is represented by a second preset shape in the line graph of the third region.

[0102] Of course, the line form of the supply value attribute value of the supplied item is consistent with the line form of the difference between the target value attribute value and the supply value attribute value.

[0103] In this embodiment of the invention, the target value attribute value, the supply value attribute value of each supplied item within a preset time period and the change status of the supply value attribute value, the difference between the target value attribute value and the supply value attribute value of the supplied item corresponding to the target item within the preset time period and the change status of the difference are displayed, which facilitates the staff to observe the supply value attribute value of the supplied item corresponding to the target item.

[0104] In practical applications, when the difference between the target value attribute value and the supply value attribute value of the corresponding supply item is greater than the maximum difference threshold, the supply item provided by the item owner can be obtained to reduce the acquisition cost of the target item.

[0105] This invention provides an information processing method, comprising: determining a target knowledge graph based on the identification information and attributes of a target item; determining a supply knowledge graph based on the identification information and attributes of each supply item contained in a supply database; matching the target knowledge graph of the target item with the supply knowledge graphs of each supply item contained in the supply database; determining the supply item corresponding to the target item based on the matching result; obtaining the supply value attribute value of the supply item corresponding to the target item within a preset time period; determining the change state of the supply value attribute value of the supply item corresponding to the target item within the preset time period; determining the target value attribute value of the target item, and determining the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period; determining the change state of the difference based on preset maximum difference thresholds and minimum difference thresholds; displaying the target value attribute value, the supply value attribute value of the supply item corresponding to the target item within the preset time period, and the change state of the supply value attribute value, as well as the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period, in a preset chart format. The above technical solution firstly matches the target knowledge graph corresponding to the target item with the supply knowledge graph corresponding to each supply item in the supply database. Based on the matching results, it automatically determines the basic supply item corresponding to the target item in the supply database. Based on the supplementary information related to the target item input by the user, it determines the supplementary supply item corresponding to the target item. Combining the basic supply item and the supplementary supply item, it determines the supply item corresponding to the target item, improving the efficiency of determining the supply item corresponding to the target item. Secondly, it can obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period, and determine the change status of the supply value attribute value, the target value attribute value and the target value within the preset time period. The system displays the difference in supply value attribute values ​​between the target item and the corresponding supply item, along with the changes in these differences. This data is then displayed on the interface in a preset manner, showing the target value attribute value, the supply value attribute value of the corresponding supply item within a preset time period, and the difference between the target value attribute value and the supply value attribute value of the corresponding supply item within the preset time period, as well as the changes in these differences. This allows staff to observe the status of the supply value attribute value of the corresponding supply item within the preset time period, thus providing a data basis for determining the final owner of the supply item and the time to obtain the supply item from the final owner.

[0106] Figure 10 This is a schematic diagram of an information processing system provided in an embodiment of the present invention, such as... Figure 10As shown, the information processing system includes a target item determination module 1010, a supply item determination module 1020, and a data display module 1030. The target item determination module 1010 is used to determine target items according to item type in a target item database constructed based on a database of items to be purchased or a data table of items to be purchased, or to manually select target items. The supply item determination module 1020 is used to determine the supply items corresponding to the target item in a supply database constructed based on item information provided by each item owner, according to the target knowledge graph corresponding to the target item and / or matching information input by the user. It is also used to determine the supply value attribute value of each supply item corresponding to the target item within a preset time period. The data display module 1030 is used to process and analyze the supply value attribute values ​​to form data dashboards and data reports with statistical analysis dimensions. It is also used to determine the market trend of supply value attribute values, historical supply value attribute values, the difference between the target value attribute value and each supply value attribute value, and an overview of supply value attribute values ​​(the changes in supply value attribute values ​​statistically analyzed by category or time, etc.). It is also used to display real-time changes in supply value attribute values ​​and premium information (high price warning). The data display module 130 constructs a corresponding data dashboard, which facilitates procurement personnel to view, compare, statistically analyze, and export the supply value attribute values ​​of supplied items in real time.

[0107] Figure 11 This is a schematic diagram of an information processing device provided in an embodiment of the present invention. This device belongs to the same inventive concept as the information processing methods in the above embodiments. Details not described in detail in the embodiments of the information processing device can be found in the embodiments of the information processing methods described above.

[0108] The specific structure of the information processing device is as follows: Figure 11 As shown, it includes:

[0109] The matching module 1110 is used to match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database, and determine the supply item corresponding to the target item based on the matching result;

[0110] The acquisition module 1120 is used to acquire the supply value attribute value of the supply item corresponding to the target item within a preset time period;

[0111] Display module 1130 is used to display the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method.

[0112] Based on the above embodiments, the device further includes:

[0113] The first determining module is used to determine the target knowledge graph based on the identification information and attributes of the target item, and to determine the supply knowledge graph based on the identification information and attributes of each supply item contained in the supply database.

[0114] Based on the above embodiments, the first determining module is specifically used for:

[0115] First title information is determined based on the identification information of the target item; first attribute information is determined based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the target item; and the target knowledge graph is determined based on the first title information and the first attribute information. For each supply item included in the supply database, second title information is determined based on the identification information of the supply item; second attribute information is determined based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the supply item; and the supply knowledge graph corresponding to the supply item is determined based on the second title information and the second attribute information.

[0116] Based on the above embodiments, the matching module 1110 is specifically used for:

[0117] Align and match the first title information contained in the target knowledge graph with the second title information contained in each of the supply knowledge graphs; align and match the first attribute information contained in the target knowledge graph with the second attribute information contained in each of the supply knowledge graphs; and determine the supply item corresponding to the supply knowledge graph that meets the matching conditions as the supply item corresponding to the target item.

[0118] In one implementation, determining the supply item corresponding to the supply knowledge graph that meets the matching conditions as the supply item corresponding to the target item includes:

[0119] If the second title information contained in the supply knowledge graph is semantically aligned with the first title information, and the second attribute information contained therein is semantically aligned with the first attribute information, then the supply item corresponding to the supply knowledge graph is determined as the supply item corresponding to the target item.

[0120] Based on the above embodiments, the matching module 1110 is specifically used for:

[0121] The supply items corresponding to the supply knowledge graph that meet the matching conditions are identified as the basic supply items corresponding to the target item; supplementary supply items corresponding to the target item are identified based on the supplementary information related to the target item input by the user; the basic supply items and the supplementary supply items are identified as the supply items corresponding to the target item.

[0122] Based on the above embodiments, the device further includes:

[0123] The second determining module is used to determine the change state of the supply value attribute value of the supply item corresponding to the target item within the preset time period; determine the target value attribute value of the target item, and determine the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period; and determine the change state of the difference according to the preset maximum difference threshold and minimum difference threshold.

[0124] Based on the above embodiments, the display module 1130 is specifically used for:

[0125] The target value attribute value is displayed in a preset chart format, along with the supply value attribute value of the supply item corresponding to the target item and the change status of the supply value attribute value within the preset time period, the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period, and the change status of the difference.

[0126] The information processing apparatus provided in the embodiments of the present invention can execute the information processing method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the information processing method.

[0127] It is worth noting that in the embodiments of the above information processing device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of the present invention.

[0128] Figure 12 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Figure 12 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the present invention is shown. Figure 12 The computer device 12 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0129] like Figure 12 As shown, the computer device 12 is represented in the form of a general-purpose computing computer device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0130] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0131] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0132] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 12 Not shown; usually referred to as a "hard drive"). Although Figure 12 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0133] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0134] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed through input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 20. Figure 12 As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although... Figure 12 As not shown, it can be used in conjunction with computer device 12 with other hardware and / or software modules, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0135] Processing unit 16 executes various functional applications and page displays by running programs stored in system memory 28, such as implementing the information processing method provided in this embodiment, which includes:

[0136] Align and match the first title information contained in the target knowledge graph with the second title information contained in each supply knowledge graph, align and match the first attribute information contained in the target knowledge graph with the second attribute information contained in each supply knowledge graph, and determine the supply item corresponding to the target item based on the matching result;

[0137] Obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period;

[0138] The supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method.

[0139] Of course, those skilled in the art will understand that the processor can also implement the technical solutions of the information processing methods provided in any embodiment of the present invention.

[0140] This invention provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the program implements, for example, the information processing method provided in this invention, which includes:

[0141] Align and match the first title information contained in the target knowledge graph with the second title information contained in each supply knowledge graph, align and match the first attribute information contained in the target knowledge graph with the second attribute information contained in each supply knowledge graph, and determine the supply item corresponding to the target item based on the matching result;

[0142] Obtain the supply value attribute value of the supply item corresponding to the target item within a preset time period;

[0143] The supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method.

[0144] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0145] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit programs for use by or in connection with an instruction execution system, apparatus, or device.

[0146] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0147] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0148] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computing device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0149] Furthermore, the acquisition, storage, use, and processing of data in the technical solution of this invention all comply with the relevant provisions of national laws and regulations.

[0150] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. An information processing method, characterized in that, include: The first title information is determined based on the identification information of the target item, the first attribute information is determined based on at least one of the basic attributes, ownership migration attributes and supplementary attributes of the target item, and the target knowledge graph is determined based on the first title information and the first attribute information. For each supply item contained in the supply database, second title information is determined based on the identification information of the supply item, second attribute information is determined based on at least one of the basic attributes, ownership migration attributes and supplementary attributes of the supply item, and the supply knowledge graph corresponding to the supply item is determined based on the second title information and the second attribute information; The target knowledge graph of the target item is matched with the supply knowledge graph of each supply item contained in the supply database, and the supply item corresponding to the target item is determined based on the matching result. The supply items corresponding to the target item are tracked within a preset time period to obtain the supply value attribute value of the supply items corresponding to the target item within the preset time period; wherein, the preset time period is determined based on the time distance between the latest acquisition deadline and the current time; The supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method. The method further includes, after obtaining the supply value attribute value of the supply item corresponding to the target item within the preset time period: Determine the target value attribute value of the target item, and determine the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period; The change state of the difference is determined based on the preset maximum difference threshold and minimum difference threshold; Accordingly, the supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method, including: The target value attribute value, the supply value attribute value of the supply item corresponding to the target item within the preset time period, the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period, and the change status of the difference are displayed in a preset chart format.

2. The information processing method according to claim 1, characterized in that, Matching the target knowledge graph of the target item with the supply knowledge graphs of each supply item in the supply database, and determining the supply item corresponding to the target item based on the matching result, including: Alignment matching is performed between the first title information contained in the target knowledge graph and the second title information contained in each of the supply knowledge graphs; alignment matching is also performed between the first attribute information contained in the target knowledge graph and the second attribute information contained in each of the supply knowledge graphs. The supply items corresponding to the supply knowledge graph that meet the matching conditions are identified as the supply items corresponding to the target item.

3. The information processing method according to claim 2, characterized in that, Determining the supply items corresponding to the supply knowledge graph that meet the matching conditions as the supply items corresponding to the target item includes: If the second title information contained in the supply knowledge graph is semantically aligned with the first title information, and the second attribute information contained therein is semantically aligned with the first attribute information, then the supply item corresponding to the supply knowledge graph is determined as the supply item corresponding to the target item.

4. The information processing method according to claim 1, characterized in that, The supply items corresponding to the target item are determined based on the matching results, including: The supply items corresponding to the supply knowledge graph that meet the matching conditions are identified as the basic supply items corresponding to the target item; Based on the supplementary information related to the target item input by the user, determine the supplementary supply items corresponding to the target item; The basic supply items and the supplementary supply items are determined as the supply items corresponding to the target item.

5. The information processing method according to claim 1, characterized in that, After obtaining the supply value attribute value of the supply item corresponding to the target item within the preset time period, the method further includes: Determine the change status of the supply value attribute value of the supply item corresponding to the target item within the preset time period; Accordingly, the supply value attribute value of the supply item corresponding to the target item within the preset time period is displayed based on a preset method, including: The supply value attribute value and its change status within the preset time period are displayed in a preset chart format.

6. An information processing device, characterized in that, include: The matching module is used to match the target knowledge graph of the target item with the supply knowledge graph of each supply item contained in the supply database, and determine the supply item corresponding to the target item based on the matching result; The acquisition module is used to track the supply items corresponding to the target item within a preset time period to obtain the supply value attribute value of the supply items corresponding to the target item within the preset time period; wherein, the preset time period is determined based on the time distance between the latest acquisition deadline and the current time; The display module is used to display the supply value attribute value of the supply item corresponding to the target item within the preset time period based on a preset method; The device further includes: The first determining module is configured to determine first title information based on the identification information of the target item, determine first attribute information based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the target item, and determine the target knowledge graph based on the first title information and the first attribute information; for each supply item included in the supply database, the module determines second title information based on the identification information of the supply item, determines second attribute information based on at least one of the basic attributes, ownership migration attributes, and supplementary attributes of the supply item, and determines the supply knowledge graph corresponding to the supply item based on the second title information and the second attribute information; The second determining module is used to determine the target value attribute value of the target item, and to determine the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period; and to determine the change state of the difference according to the preset maximum difference threshold and minimum difference threshold. The display module is specifically used for: The target value attribute value, the supply value attribute value of the supply item corresponding to the target item within the preset time period, the difference between the target value attribute value and the supply value attribute value of the supply item corresponding to the target item within the preset time period, and the change status of the difference are displayed in a preset chart format.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the information processing method as described in any one of claims 1-5.

8. A storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the information processing method as described in any one of claims 1-5.

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