WO2025045166A1 - 一种对象的信息管理方法、装置、设备及存储介质 - Google Patents
一种对象的信息管理方法、装置、设备及存储介质 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0482—Interaction with lists of selectable items, e.g. menus
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Definitions
- the embodiments of the present disclosure relate to the field of computer technology, and in particular, to an object information management method, apparatus, device, and storage medium.
- the embodiments of the present disclosure provide an object information management method, apparatus, device and storage medium to achieve large-scale production of key information related to product objects, and also increase the object category range of product objects covered by the key information.
- Clustering is performed on the object data in the object data set, and an initial key information set corresponding to the information production task is generated according to a clustering result of the clustering process.
- an embodiment of the present disclosure further provides an object information management device, the device comprising:
- a first response module configured to respond to a creation submission request of the created information production task and display a task creation item of the information production task in a task list display interface, wherein the operation item cell included in the task creation item includes a loading operation control for loading task data;
- a second response module configured to respond to a trigger operation on the loading operation control and load a related object data set according to data source information corresponding to the information production task;
- the information production module is used to perform clustering processing on the object data in the object data set, and generate an initial key information set corresponding to the information production task according to the clustering result of the clustering processing.
- an embodiment of the present disclosure further provides a computer device, the computer device comprising:
- processors one or more processors
- a storage device for storing one or more programs
- the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors implement the object information management method provided by any embodiment of the present disclosure.
- an embodiment of the present disclosure further provides a computer-readable storage medium on which a computer program is stored.
- the computer program is executed by a processor, the object information management method provided by any embodiment of the present disclosure is implemented.
- FIG1 is a schematic diagram of a flow chart of an object information management method provided by an embodiment of the present disclosure
- FIG. 2a shows an effect display diagram of a task creation interface used when creating an information production task according to the method provided in this embodiment
- FIG2b shows an effect display diagram of the task list display interface involved in the operation of the method provided in this embodiment
- FIG. 2c shows an interface display diagram of the information cleaning operation interface presented when the method provided in this embodiment implements information cleaning on the information review platform side;
- FIG3 is a schematic diagram of the structure of an object information management device provided by an embodiment of the present disclosure.
- FIG4 is a schematic diagram of the structure of a computer device provided in an embodiment of the present disclosure.
- a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information.
- the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.
- the prompt information in response to receiving an active request from the user, may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form.
- the pop-up window may also carry a selection control for the user to choose "agree” or “disagree” to provide personal information to the electronic device.
- Figure 1 is a flow chart of an object information management method provided in an embodiment of the present disclosure. This embodiment can be applicable to situations where key information related to product objects is managed.
- the method can be executed by an object information management device, which can be implemented by software and/or hardware and can be configured in a terminal and/or server to implement the object information management method in the embodiment of the present disclosure.
- an application scenario of the present embodiment can be described as follows: on an e-commerce platform that collects a large number of product objects, there is a need for unified object information description of the same product object, and the unified object information description of the product object can be considered as the key object information description of the product object, and the key object information can be referred to as key information.
- the operation of producing key information for product objects has become a trend.
- the above technical scheme can first create an information production task when there is a key information production demand, and the task information of the generated information production task can be displayed in the task list display interface in the form of an entry, the displayed task information entry corresponds to an operation item cell, and the operation item cell can include an operation control that triggers the information production task to respond to the relevant execution logic, and after responding to the triggering of the loading operation control corresponding to the information production task, the information production logic of the information production task can be executed, and finally the initial key information set corresponding to the information production task is obtained.
- the key information set contains a certain scale of key information.
- the information management method provided can be executed by a pre-built execution platform, which can be an information management operable platform. Therefore, this embodiment can realize the key information production of product objects through the information management operable platform.
- the product object can preferably be an object participating in online shopping in the e-commerce platform scenario, but the product object in this embodiment is not limited to the application in the e-commerce platform scenario, and can be any application scenario with key information production requirements.
- the task information items contained in the task list displayed on the task list display interface need to be implemented in advance through the creation of information production tasks.
- a task creation control can be displayed in the task list display interface, and a task creation interface can be popped up by triggering the task creation control.
- relevant creation information can be configured for the information production task to be created, such as the task name of the information production task to be created and the data type of the data involved in the production, etc. It is also possible to configure whether the created task will establish an association relationship with the commodity after the information production.
- the import path or upload path can correspond to the local offline storage path of the object data, or can correspond to the online storage path of the object data.
- the configured data path can be regarded as data source information.
- the process of generating a creation submission request based on triggering a creation submission control is equivalent to a process of summarizing the task information edited or configured in the task creation interface, which can be considered as a summary of the task creation information such as the task name, task type, data type, and whether the associated task is constructed, etc. configured for the created information production task.
- this step can be used to respond to the creation submission request, and thereby obtain the task creation information corresponding to the creation submission request, so as to form the task information entry of the created information production task through the obtained task creation information.
- the column attribute items set in the task list include operation attribute items, and the operation attribute items can be specifically used to provide the operation controls required for the operation of the created information production task.
- the operation controls involved in different information production tasks are respectively displayed in the operation item cells of the corresponding task information items.
- the operation item cell of the corresponding task information item contains a load operation control.
- the triggering of the operation control can be used to load the object data required for information production.
- the operation item cells of different task information items in the task list may contain several fixed general operation controls, such as the operation item cells of each task information item may include a view details control, a close task control, and an edit task control; in addition, the operation item cells may also include an operation control for entering the next production state according to the production state of the corresponding information production task.
- the operation item cells of each task information item may include a view details control, a close task control, and an edit task control; in addition, the operation item cells may also include an operation control for entering the next production state according to the production state of the corresponding information production task.
- the operation item cell of the corresponding task information item presents the loading operation control required to enter the next production state (data loading) when the information production task is in the task creation completed state.
- FIG. 2a provides an effect display diagram of the task creation interface used when the method provided in this embodiment involves the creation of information production tasks.
- the displayed task creation interface 21 includes a task configuration item 210, which can be used to edit information of editable items such as task name, task type, data type, and task description; it also includes an object data item 211, which provides a configuration operation area for configuring the data path of the object data on which information production depends.
- the task creation interface 21 may also include a configuration operation area for configuring whether the association relationship is established (not shown in Figure 2a), and a task submission control 212 for submitting the created task.
- this step can be used to respond to the creation submission request, and then form a task information entry relative to the created information production task and display the task information entry in the task list of the task list display interface.
- FIG2b shows an effect display diagram of the task list display interface involved in the operation of the method provided in this embodiment.
- the displayed task list display interface 22 includes a task list, and the task list presents task information entries 221 corresponding to different information production tasks that have been created, and the column attribute items that can be displayed in the task information entry 221 include: task ID, object data source, object quantity, production status, task update time, and operation item cells.
- the operation item cell includes a general view details control, a close task control, and an edit task control, and also includes an operation control that is triggered by the production status to enter the next production status.
- a trigger operation of the loading operation control can be generated.
- This step can respond to the trigger operation of the loading operation control and control the corresponding information production task to enter the data loading state.
- the information production task in the data loading state is not only a simple loading of object data, but also includes the process of generating a key information set relative to the information production task based on the loaded object data, wherein:
- the key information set may be recorded as the initial key information set.
- this step can be used to first load the object data required for information production by the information production task.
- the data source information can be the data path information configured in the creation phase of the information production task, and the relevant object data can be obtained through the specific data path in the data source information.
- the object data it relies on is often a certain number.
- the object data obtained by loading a certain number of objects is recorded as an object data set.
- the object data in the object data set can be clustered through this step, wherein the clustering of the object data can be achieved through a clustering algorithm, and the clustering result after the clustering process can be at least one object cluster formed after satisfying the clustering condition.
- the clustering condition can be clustering according to the same product object, or clustering according to belonging to the same product category.
- the same product object is preferably used to achieve clustering, and the object data in the object cluster can be considered as the same type of object data of the same product object, and in this embodiment, it can also be recorded as the same cluster object data.
- this step can further perform data analysis on the same cluster object data in each object clustering cluster, thereby generating a key data relative to each object clustering cluster.
- a key data can be regarded as a key information. That is, through this step, a key information can be generated for each of the object clustering clusters included in the clustering result. It can be known that the data amount of the key information initially generated by this embodiment relative to the created information production task is the same as the number of clusters of the object clustering clusters included in the clustering result.
- the generated key information can be recorded as the initial key information and all the initial key information can be summarized to form the initial key information set of the information production task.
- certain data attribute items can be selected as key information attribute items constituting key information.
- the selected key information attribute items are also included in the data attribute items possessed by the object data.
- the key information corresponding to the object clustering cluster can be obtained by analyzing the data of the same cluster objects in each object clustering cluster in the clustering result.
- one implementation method of data analysis can be described as: for each object cluster, the attribute values of the data of each object in the same cluster relative to the selected key information attribute items can be obtained, and then the key attribute value can be determined by analyzing the attribute values involved under the key information attribute item. The determined key attribute value can be used as the standard attribute value of the corresponding key information attribute item. Finally, a key information can be formed based on the standard attribute values of each key information attribute item.
- the present embodiment provides an object information management method, which can first create an information production task when there is a key information production demand.
- the task information of the generated information production task can be displayed in the task list display interface in the form of an item.
- the displayed task information item corresponds to an operation item cell.
- the operation item cell can include an operation control that triggers the information production task to respond to the relevant execution logic. After the triggering of the loading operation control corresponding to the information production task, Execute the information production logic of the information production task, and finally obtain the initial key information set corresponding to the information production task.
- the present technical scheme provides a production approach for large-scale production of information, which can simply and efficiently realize the large-scale generation of key information of product objects, better save the manpower and time cost investment in the production stage of key information of product objects, and better improve the production efficiency of key information of product objects.
- clustering the object data in the object data set and generating the initial key information set corresponding to the information production task according to the clustering result of the clustering process can be concretized into the following steps:
- a1) performing clustering processing according to the object data in the object data set in combination with a preset object same-type matching model and obtaining a clustering result corresponding to the information production task, wherein the clustering result includes at least one object clustering cluster, and the object clustering cluster includes same-cluster object data, and the same-cluster object data is object data in the object data set with the same set attributes.
- the clustering condition set when clustering the object data in the object data set, may be to ensure that each object cluster formed after clustering contains object data of product objects with the same set attributes, wherein the same set attributes may specifically be the same product object.
- the object homogeneity matching model may be regarded as a processing model for performing homogeneity matching on object data, and it may be considered that after the object data is input into the object homogeneity matching model, it may be determined which object data are the object data of the same product object.
- the object data in the object data set can be input into the object homogeneous matching model, and at least one homogeneous object data list can be outputted. After that, different homogeneous object data lists can be merged according to the set merging conditions. Finally, after the list quantity value of the homogeneous object data lists formed by the merger remains unchanged, the homogeneous object data contained in each homogeneous object data list can be regarded as an object clustering cluster, thereby obtaining a clustering result containing at least one object clustering cluster.
- a12 determining similar object data matching each of the reference object data from the object data set according to a preset object similarity matching model, and forming a plurality of similar object data sets including the reference object data and the corresponding similar object data.
- benchmark object data can be used as similar matching participating data when object data is looking for similar objects. That is, in the implementation of looking for similar objects, it is necessary to determine similar object data belonging to the same category of product objects as the benchmark object data from the object data set.
- the object homogeneity matching model can be used to search for homogeneous object data belonging to the same category for each reference object data from the object data set.
- the object homogeneity matching model can be a network model that is pre-built and learned through training, or a data classification model that is trained through samples.
- the trained object homogeneity matching model can be used.
- data information of the attribute items related to the reference object data can be input into the object similar matching model, and then the object data to be matched can also be input into the object similar matching model, and a matching result of whether the object data is the same type of object data as the reference object data can be outputted.
- a similar object data list can be obtained for each reference object data, and the reference object data and the similar object data in the similar object data list can constitute a similar object data set.
- different similar object data sets can be merged in a suitable merging manner through this step to form a new similar object data set, and the merging process can be repeated until the number of remaining similar object data sets no longer changes.
- This step can form a clustering result based on the similar object data sets remaining after the merging process is completed.
- the merging method used for merging data sets can be to merge the same objects in two data sets of the same type. The data are compared. If the ratio of the same object data contained in two similar object data sets reaches a set threshold, it can be considered that the two similar object data sets meet the merging conditions and need to be merged.
- each remaining similar object data set can be regarded as an object cluster, and the similar object data contained in the similar object data sets can be regarded as the same cluster object data in the object cluster.
- the obtained object cluster can be regarded as the clustering result of the clustering process.
- the specific implementation of the clustering results described above can serve as data support for determining key information, thereby ensuring the efficiency of large-scale determination of key information.
- determining the clustering result corresponding to the information production task according to the multiple similar object data sets may be specific as follows:
- two similar object data sets can be arbitrarily selected from multiple similar object data sets, and then the product overlap degree is calculated for the similar object data in the selected two similar object data sets, wherein the product overlap degree can be determined by the number of identical objects of the same object data contained in the two similar object data sets, such as the product overlap degree can be the ratio of the number of identical objects to the total number of object data contained in the two similar object data sets.
- one implementation of the product overlap satisfying the merging condition may be that the ratio of the number of identical objects to the total number of object data contained in the two similar object data sets is greater than or equal to a preset ratio threshold.
- the merging condition when the merging condition is met, the similar object data in the two similar object data sets may be merged into one data set to form a new similar object data set.
- the number of data sets of the same type of objects can be counted. If the number of data sets counted last time does not change from the number of data sets counted last time, it can be considered that the end condition of the execution logic repetition is met, otherwise, it is necessary to return to step a131) to re-execute the calculation of the product overlap and the merging operation of the data sets of the same type of objects.
- this step can be used to treat each remaining similar object data set as an object cluster.
- the clustering result can include all object clusters, and the similar object data included in each object cluster can be recorded as the same cluster object data.
- the above technical solution provides a specific implementation method for clustering results, and provides effective underlying logic support for determining clustering results.
- generating the initial key information set corresponding to the information production task according to each of the object clusters can be further concretized into the following steps:
- Step b11) of this embodiment and the following step b12) can be considered as processing suitable for determining key attribute values for each object cluster.
- this step can be used to determine the same cluster object data contained in the object cluster.
- the first key information determined above may be filtered out from the initial key information set, and the remaining initial key information may be recorded as the first key information set of the information production task.
- this second optional embodiment realizes a deduplication process of the initial key information in the initial key information set.
- the initial key information formed cannot be directly stored in the key information database, and it needs to go through other data processing links afterwards.
- a batch of key information existing in the key information database can be filtered out first to reduce the data scale of the data to be processed by other subsequent data processing links, which can better reduce the resource occupancy rate in the subsequent standard product-related processing logic implementation.
- a3) in response to a triggering operation on an information cleaning control, generating an information cleaning list including key information in the first key information set, and submitting the information cleaning list to an information review platform, wherein the information cleaning control is presented in an operation item cell of the task information entry after obtaining the first key information set.
- the corresponding task information entry in the task list display interface needs to be updated. Specifically, the production status included in the task information entry can be changed to the state where data loading is completed, and the number of objects included in the task information entry can be updated to the total number of key information contained in the first key information set after the initial key information determination and deduplication screening of the information production task.
- the operation item cell can also include an information cleaning control for subsequent startup of information cleaning operations.
- this step can be used to respond to the triggering of the presented information cleaning control, so that relative to the information production task, the key information in the corresponding first key information set can be used as the key information to be cleaned, and an information cleaning list containing each key information to be cleaned is formed.
- the information cleansing list can be submitted to the information review platform, where the information review platform can be considered as relevant to the implementation of this implementation.
- the operable platforms of the method provided in the example cooperate with each other to realize the assistance platform of information management.
- the information cleaning list submitted in this step can be received, and a cleaning queue can be constructed relative to the information cleaning list, which contains all key information to be cleaned related to the information production task.
- the key information to be cleaned by the auditor can be presented in the information cleaning operation interface in the order of its arrangement in the cleaning queue.
- the attribute information of the key information to be cleaned relative to all data attribute items can be presented in the information cleaning operation interface, and the product object materials used to assist the auditor in information cleaning can also be displayed in the information cleaning operation interface.
- the product object materials can include product object qualification certificates, and different types of product object qualification certificates are different.
- the product object qualification certificate of books can be the copyright page;
- the product object qualification certificate of beauty products can be the inspection data and instructions for use provided by the Food and Drug Administration;
- the product object qualification certificate of electronic products can be the 3C certificate, etc.
- the product object materials responsible for information cleaning can also include: the same cluster commodity information of the same cluster commodity associated with the key information to be cleaned in the object clustering cluster.
- the information review platform side After the key information to be cleaned passes the cleaning review of the product object materials and other cleaning reference items given in the information cleaning operation interface, the information cleaning result is formed and the information cleaning result is cached in the cleaned information list corresponding to the information cleaning list by triggering the submit control in the information cleaning operation interface. And after completing the cleaning of all the information to be cleaned in the information cleaning list, the information review platform side can feed back the corresponding cleaned information list to the execution platform side of the method provided in this embodiment.
- FIG2c shows an interface display diagram of the information cleaning operation interface presented when the method provided by the present embodiment implements information cleaning on the information audit platform side.
- the displayed information cleaning operation interface 23 includes a key information display area 231 of key information to be cleaned, a material information display area 232 of product object materials on which information cleaning depends, and a display area 233 of similar object information on which information cleaning depends, and also includes a result reporting option 234 for reporting the information cleaning audit result, and a submission control 235 for submitting the information cleaning audit.
- Auditors on the information audit platform side can complete the cleaning of the presented information to be cleaned in the information cleaning operation interface 23.
- the information cleaning audit result after completing the cleaning of the presented information to be cleaned can be cached in the list of cleaned information, and the data content related to the next key information to be cleaned can be re-displayed in the information cleaning operation interface 23.
- a list of cleaned information fed back by the information audit platform relative to the information cleaning list can be received.
- the list of cleaned information includes the information cleaning audit results relative to the key information to be cleaned in the information cleaning list.
- the key information to be cleaned comes from the first key information set, so the list of cleaned information includes the information cleaning audit results of each key information in the first key information set.
- the information cleaning review results of each key information in the first key information set can be used to determine which key information has passed the information cleaning review and which key information has not passed the information cleaning review. Then, the second key information set of the information production task can be formed based on the key information that has passed the information cleaning review.
- an information quality inspection list including the information cleansing and auditing results of the second key information set is generated, and the information quality inspection list is submitted to the information audit platform. After receiving the cleansed information list, the information quality inspection control is presented in the operation item cell.
- the operation item cell can also include an information quality inspection control for subsequent startup of information quality inspection operations.
- the information quality inspection control can be presented in the operation item cell after receiving the cleaned information list.
- this step can be used to respond to the triggering of the presented information quality inspection control, so that relative to the information production task, the key information of the corresponding second key information set can be used as the key information to be quality inspected, and an information quality inspection list containing each key information to be quality inspected can be formed.
- the information quality inspection list can also be submitted to the information audit platform, which can receive the information quality inspection list submitted in this step and build a quality inspection queue relative to the information quality inspection list.
- the quality inspection queue contains all key information to be inspected related to the information production task.
- the quality inspection queue can be sent as a quality inspection task to the operation terminal of the quality inspection auditor who is different from the data clearing auditor, so that the quality inspection auditor can perform quality inspection on each key information to be inspected in the quality inspection queue.
- the key information to be inspected by the quality inspection and review personnel can also be presented in the information quality inspection operation interface in the order of its arrangement in the quality inspection queue.
- the information quality inspection of key information in this embodiment can be regarded as a secondary information cleaning of key information, but the quality inspection and review personnel involved in the information quality inspection are distinguished from the review personnel involved in the information cleaning, and the quality inspection and review personnel can be more experienced professionals.
- the data information displayed in the information quality inspection operation interface is based on the same data information displayed in the information cleaning stage, and the information cleaning operation interface can also include the attribute information of the key information to be inspected relative to all data attribute items, and the product object materials used to assist the quality inspection auditors in information quality inspection can also be displayed in the information quality inspection operation interface.
- the specific product object materials included can also include commodity qualification certificates and data information of similar objects of the same type.
- the information review platform side After the key information to be inspected passes the quality inspection review of the product object materials and other quality inspection reference items given in the information quality inspection operation interface, the information quality inspection results are formed and the information quality inspection results are cached to the quality inspected information corresponding to the information quality inspection list by triggering the submit control in the information quality inspection operation interface. After completing the quality inspection of all the information to be inspected in the information quality inspection list, the information review platform can feed back the corresponding quality inspection information list to the execution platform of the method provided in this embodiment.
- a list of quality-checked information fed back by the information audit platform relative to the information quality inspection list can be received.
- the quality-checked information list includes the information quality inspection and audit results relative to the key information to be quality-checked in the information quality inspection list.
- the key information to be quality-checked comes from the second key information set, so the quality-checked information list includes the information quality inspection and audit results of each key information in the second key information set.
- the information quality inspection and review results of each key information in the second key information set can be used to determine which key information has passed the information quality inspection and review and which key information has not passed the information quality inspection and review. Then, the third key information set of the information production task can be formed based on the key information that has passed the information quality inspection and review.
- the above technical solution of the third optional embodiment provides a specific implementation of further data clearing and information quality inspection of the key information involved in the information production task. After the key information is processed by the method provided by the third optional embodiment, the validity of the key information produced can be better guaranteed, and the accuracy of the key information can be better improved.
- a method optimization step is also added.
- the processing of key information by the method provided by the third optional embodiment is equivalent to forming highly accurate key information relative to the information production task.
- the highly accurate key information can be directly stored in the warehouse.
- the operation of correcting the data information of the audited key information is also included, that is, the data information of the key information can be more accurately corrected through the provided product object materials and similar object data information to form the corrected key information, and feedback to the execution platform side of the method provided in this embodiment, and the corrected key information is used to replace the existing key information in the key information set.
- this fourth optional embodiment can further optimize the operation item cell to present a data storage control after obtaining the third key information set, and in this fourth optional embodiment, the method can also implement the entry operation of key information through the following steps:
- the third key information set is screened for entry.
- the corresponding task information item in the task list display interface will also be updated.
- the production status included in the task information item can be changed to the status of information quality inspection completion, and the number of objects included in the task information item can be updated to the key information contained in the third key information set formed after the information production task is subjected to information quality inspection.
- the total number of information may also include a data entry control for subsequent data entry operation initiation, which may be presented in the operation item cell after obtaining the third key information set.
- this step can be used to respond to the triggering of the presented data storage control, thereby the key information in the corresponding third key information set can be stored in the warehouse relative to the information production task.
- the third key information set before the key information in the third key information set is stored in the warehouse, the third key information set can be screened for storage in this step.
- storage screening can be described as: comparing the key information in the third key information set with the storage key information in the key information database to determine whether there is key information in the third key information set that is the same as the storage key information.
- the third key information set contains key information that already exists in the key information database. If so, this step can be used to record such key information as the second key information. At the same time, the key information in the third key information set that does not exist in the key information database can be recorded as the third key information, and the inventory addition operation of the third key information to the key information database can be completed.
- the production status in the task information entry can be updated to the status of data warehousing completion, and the object data included in the task information entry can also be updated to the total number of key information of the third key information involved in the data warehousing.
- the above technical solution of this fourth optional embodiment provides the implementation of the storage of key information to be stored corresponding to the information production task, and also provides the implementation of screening the key information to be stored before storage.
- the accuracy and uniqueness of the key information stored in the key information database can be guaranteed.
- the above technical solution better realizes the effective large-scale production of key information.
- this embodiment further considers the establishment and implementation logic of the association relationship between the key information involved in the information production task and the e-commerce product.
- one of the main application scenarios of the key information produced by the information production task in this embodiment is to provide unified product object description information for product objects on the e-commerce platform.
- the prerequisite is to establish an association relationship between the key information and the product objects on the e-commerce platform.
- one implementation is to directly create the association relationship task through the key relationship task creation control included on the execution platform of the method provided in this embodiment.
- the data on which the task execution depends include: the object data to be established with the association relationship and the key information that has been determined.
- the created association relationship task can be presented in the association task list display interface, and the association relationship mounting between the provided object data and the provided determined key information can be realized by triggering the relevant operation control of the created association relationship task.
- another implementation of establishing the association relationship between key information and product objects is to directly perform the establishment of the association relationship in the configuration operation area of whether to establish the association relationship during the configuration of information production task creation.
- this embodiment can automatically generate the corresponding association relationship establishment-related tasks relative to the information production task, and realize the establishment of a direct association relationship between the key information involved in the information production task and the corresponding product object.
- the method provided in this embodiment further includes the following execution steps:
- the determined first key information, second key information and/or third key information are used as valid key information of the information production task, and the object clustering clusters corresponding to the first key information, the second key information and/or the third key information in the clustering result are respectively recorded as valid object clustering clusters.
- the first key information, the second key information and the third key information can all be recorded as valid key information for the information production task.
- the first key information is the storage-entry key information that already exists in the key information database in the initial key information set
- the second key information is the storage-entry key information that already exists in the key information database in the third key information set
- the third key information is the storage-entry key information added to the key information database in the final storage stage.
- the above key information can all be considered as valid key information related to the information production task.
- the first key information, the second key information or the third key information can all be regarded as key information obtained after the preliminary clustering process, so the first key information, the second key information or the third key information all correspond to their own object clustering clusters in the clustering result.
- the object clustering clusters corresponding to the first key information, the second key information and/or the third key information in the clustering result can be respectively recorded as valid object clustering clusters.
- an association subtask of the information production task is generated, and the association subtask is used to establish an association relationship between the valid key information and the same cluster object data in the corresponding valid object clustering cluster.
- the associated subtask of the information production task can be generated through this step.
- the associated subtask can also be presented in the associated task list display interface.
- the effective key information can be associated with the same cluster object data in the corresponding effective object clustering cluster.
- this embodiment will not automatically generate the corresponding subtask for establishing the association relationship relative to the information production task. In this case, it is necessary to manually complete the establishment of the associated subtask through the creation logic of the associated task.
- the above technical solution of this fifth optional embodiment provides the task establishment implementation of the associated subtask involved in the information production task.
- the above solution provided by this embodiment is equivalent to providing an implementation method for establishing the association relationship between key information and e-commerce products.
- This technical solution can effectively solve the problem that the existing method cannot achieve the establishment of a direct association relationship between key information and product objects on a large scale. It provides a simple and effective operation channel for the association mounting of key information and product objects.
- the method can be further optimized to include:
- step b6) In response to the execution trigger operation of the associated subtask, determine whether the valid key information meets the review-free establishment conditions of the associated relationship. If so, execute step b6); if not, execute step c6).
- this step can be used to respond to the execution trigger operation of the associated subtask.
- the association relationship between the key information and the product object also requires review by the information review platform, but for the associated subtask that meets the conditions for establishing the association relationship without review, the association relationship between the corresponding valid key information and the corresponding object data can be directly established.
- the conditions for establishing exemption from review include: the valid object cluster corresponding to the valid key information contains only one same-cluster object data; or, it is detected that the same-cluster accuracy of the same-cluster object data in the valid object cluster corresponding to the valid key information reaches a set accuracy threshold.
- the situation where the valid object cluster corresponding to the valid key information contains only one cluster object data can be considered as the situation where there is an orphan object (that is, there is only one product object of this type).
- the association relationship between the valid key information obtained under high-precision clustering and the cluster object data in the valid object cluster can also be established without review.
- high-precision clustering can be considered as the cluster accuracy determined relative to the cluster object data in the valid object cluster reaches the set accuracy threshold.
- step b6) can be performed when the conditions for establishing exemption from review are met, and the operation of step c6) can be performed when the conditions for establishing exemption from review are not met.
- this step can be used to directly establish an association relationship between the valid key information and the same cluster object data in the corresponding valid object cluster, so that the valid key information is respectively associated with each same cluster object data in the valid object cluster, and the association mounting information between the valid key information and the associated same cluster object data is formed.
- the association relationship of the valid key information is reviewed through this step, and after the association relationship is established between the valid key information and the same cluster object data that meets the review conditions in the corresponding valid object cluster, the valid key information is associated with the same cluster object data that has passed the review and the association mounting information between the valid key information and the associated same cluster object data is formed.
- each associated mounting information formed can be added to the associated mounting database for storage through this step.
- the above technical solution of the fifth optional embodiment provides an implementation for establishing the association relationship between key information and different product objects. In this way, the success rate of mounting the association relationship between key information and product objects can be greatly improved. It also saves time and resource costs.
- association relationship review results include the review results of the valid key information and the corresponding data of each cluster object.
- association relationship review list can be submitted to the information review platform, and the association relationship review personnel on the information review platform side can review the association relationship between the valid key information in the management relationship review list and the corresponding valid object clustering cluster in the same cluster object data through the corresponding operation terminal.
- association relationship auditor can also submit the association relationship audit results to be cached in the association relationship audit result table, which can include the audit results of the association relationship between each valid key information and the related same cluster object data.
- This step can feed back the association relationship audit result table to the execution platform of the method provided in this embodiment to obtain the audit results of the valid key information and the corresponding same cluster object data.
- the audit results of the valid key information and the corresponding cluster object data can be passed or failed.
- This step can establish an association relationship between the valid key information and the cluster object data whose audit results are passed to form associated mounting information.
- the above technical solution of this embodiment provides a method for auditing the association relationship to be audited, which specifically obtains the audit result with the assistance of the information audit platform and establishes an association relationship between the audited valid key information and the same cluster object data.
- This implementation method better ensures the accuracy of the formed association mounting information.
- FIG3 is a schematic diagram of the structure of an object information management device provided by an embodiment of the present disclosure.
- the present embodiment can be applied to the situation of managing key information involved in a product object.
- the device can be implemented by software and/or hardware and can be configured in a terminal and/or server to implement the object information management method in the embodiment of the present disclosure.
- the device can specifically include: a first response module 31, a second response module 32, and an information production module 33.
- the first response module 31 is used to respond to the creation submission request of the created information production task, and display the task creation item of the information production task in the task list display interface, wherein the operation item cell included in the task creation item includes a loading operation control for loading task data;
- a second response module 32 configured to respond to a triggering operation on the loading operation control and load a related object data set according to data source information corresponding to the information production task;
- the information production module 33 is used to perform clustering processing on the object data in the object data set, and generate an initial key information set corresponding to the information production task according to the clustering result of the clustering processing.
- the information management device of an object provided in this embodiment can first create an information production task when there is a demand for key information production.
- the task information of the generated information production task can be displayed in the task list display interface in the form of an entry.
- the displayed task information entry corresponds to an operation item cell.
- the operation item cell can include an operation control that triggers the information production task to respond to the relevant execution logic.
- the information production logic of the information production task can be executed, and finally the initial key information set corresponding to the information production task can be obtained.
- this technical scheme provides a production method for large-scale production of information, which can simply and efficiently realize the large-scale generation of key information of product objects, better save the manpower and time cost investment in the key information production stage of product objects, and better improve the production efficiency of key information of product objects.
- the information production module 33 may specifically include:
- a clustering processing unit configured to perform clustering processing according to the object data in the object data set in combination with a preset object homogeneity matching model and obtain a clustering result corresponding to the information production task, wherein the clustering result includes at least one object clustering cluster, and the object clustering cluster includes homogeneous object data, and the homogeneous object data is object data in the object data set having the same set attribute;
- the information production unit is used to generate an initial key information set corresponding to the information production task according to each of the object clusters.
- cluster processing unit may specifically include:
- An object selection subunit used for selecting a plurality of object data from the object data set, respectively serving as reference object data for the same type of matching;
- a similar matching subunit configured to determine similar object data matching each of the reference object data from the object data set according to a preset object similar matching model, to form a plurality of similar object data sets including the reference object data and the corresponding similar object data;
- the cluster processing subunit is used to determine the clustering result corresponding to the information production task according to the multiple similar object data sets.
- cluster processing subunit may be specifically used for:
- Each data set of similar objects obtained after the repeated operation is completed is regarded as an object cluster, and a clustering result including each of the object clusters is formed relative to the information production task, wherein the similar object data included in the object cluster is recorded as the same cluster object data.
- the information production unit can be specifically used for:
- the initial key information of the object cluster is formed based on each of the key attribute values, and the initial key information set corresponding to the information production task is formed based on the initial key information of each of the object clusters.
- the device may also include:
- a first screening module is used to access a pre-built key information database, and record the initial key information in the initial key information set that already exists in the key information database as the first key information;
- the first result generating module is used to obtain a first key information set of the information production task based on the initial key information remaining after filtering out the first key information.
- the device may also include:
- a third response module configured to generate an information cleaning list including key information in the first key information set in response to a triggering operation on the information cleaning control, and submit the information cleaning list to the information review platform, wherein the information cleaning control is presented in the operation item cell of the task creation entry after obtaining the first key information set;
- a second result generating module configured to receive a cleaned information list fed back by the information review platform relative to the information cleaning list, and to form a second key information set for the information production task based on the information cleaning review result in the cleaned information list;
- a fourth response module configured to generate, in response to a trigger operation on the information quality inspection control, an information quality inspection list including the information cleansing and review results in the second key information set, and submit the information quality inspection list to the information review platform, wherein the information quality inspection control is presented in the operation item cell after receiving the cleansed information list;
- the third result generation module is used to receive the cleaned quality inspection list fed back by the information review platform relative to the information quality inspection list, and to form a third key information set of the information production task based on the quality inspected key information in the quality inspected information list.
- the operation item cell presents a data storage control after obtaining the third key information set. Accordingly, the device may further include:
- a second screening module configured to perform storage screening on the third key information set in response to a triggering operation on the data storage control
- the standard product storage module is used to record the key information already in the key information database as the second key information. and recording the key information that does not exist in the key information database as third key information, and adding the third key information to the key information database.
- the device may also include:
- a standard product determination module used to use the determined first key information, second key information and/or third key information as valid key information of the information production task, and record the object clusters corresponding to the first key information, the second key information and/or the third key information in the clustering result as valid object clusters;
- the task establishment module is used to generate an associated subtask of the information production task if the information production task has been configured for execution of an associated relationship during the creation phase.
- the associated subtask is used to establish an associated relationship between the valid key information and the same cluster object data in the corresponding valid object clustering cluster.
- the device may also include:
- the fifth response module is used to determine whether the valid key information satisfies the review-free establishment condition of the association relationship in response to the execution trigger operation of the association subtask.
- a first execution module is used to directly establish an association relationship between the valid key information and the same cluster object data in the corresponding valid object cluster to form association mounting information when the review-free establishment condition of the association relationship is met;
- the second execution module is used to review the association relationship of the valid key information when the review-free establishment condition of the association relationship is not met, and establish an association relationship between the valid key information and the same cluster object data that meets the review condition in the corresponding valid object cluster to form association mounting information;
- the associated storage module is used to add the formed associated mounting information to the associated mounting database.
- the valid object cluster corresponding to the valid key information contains only one object data of the same cluster; or,
- the second execution module may be specifically used for:
- association relationship review list of the valid key information, wherein the association relationship review list includes the same cluster object data in the valid object cluster corresponding to the valid key information;
- association relationship review result includes the review result of the valid key information and the corresponding data of each object in the same cluster
- An association relationship is established between the valid key information and the same cluster object data whose audit result is approved, so as to form associated mounting information.
- the above-mentioned device can execute the method provided by any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.
- FIG4 is a schematic diagram of the structure of a computer device provided in an embodiment of the present disclosure.
- a schematic diagram of the structure of a computer device e.g., a terminal device or server in FIG4
- the terminal device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (e.g., vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc.
- the computer device shown in FIG4 is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present disclosure.
- the computer device 40 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 41, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 42 or a program loaded from a storage device 48 into a random access memory (RAM) 43.
- ROM read-only memory
- RAM random access memory
- Various programs and data required for the operation of the computer device 40 are also stored in the RAM 43.
- the processing device 41, the ROM 42, and the RAM 43 are connected to each other via a bus 45.
- An edit/output (I/O) interface 44 is also connected to the bus 45.
- the following devices may be connected to the I/O interface 44: input devices 46 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 47 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 48 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 49.
- the communication devices 49 may allow the computer device 40 to communicate with other devices wirelessly or by wire to exchange data.
- FIG. 4 shows a computer device 40 with various devices, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have instead.
- an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart.
- the computer program can be downloaded and installed from the network through the communication device 49, or installed from the storage device 48, or installed from the ROM 42.
- the processing device 41 When the computer program is executed by the processing device 41, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.
- the computer device provided in the embodiment of the present disclosure and the object information management method provided in the above embodiment belong to the same inventive concept.
- the technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.
- An embodiment of the present disclosure provides a computer storage medium on which a computer program is stored.
- the program is executed by a processor, the object information management method provided by the above embodiment is implemented.
- the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two.
- the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above.
- Computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
- RAM random access memory
- ROM read-only memory
- EPROM or flash memory erasable programmable read-only memory
- CD-ROM portable compact disk read-only memory
- magnetic storage device or any suitable combination of the above.
- a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.
- a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
- a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.
- the program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
- the client and server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network).
- HTTP HyperText Transfer Protocol
- Examples of communication networks include a local area network ("LAN”), a wide area network ("WAN”), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.
- the computer-readable medium may be included in the computer device, or may exist independently without being incorporated into the computer device.
- the computer-readable medium carries one or more programs.
- the computer device When the one or more programs are executed by the computer device, the computer device:
- Computer program code for performing operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages.
- the program code may execute entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server.
- the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to access the user's computer). via an Internet connection).
- LAN local area network
- WAN wide area network
- Internet service provider to access the user's computer
- each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function.
- the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.
- each square box in the block diagram and/or flow chart, and the combination of the square boxes in the block diagram and/or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
- the units involved in the embodiments described in the present disclosure may be implemented by software or hardware.
- the name of a unit does not limit the unit itself under certain circumstances.
- the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses.”
- exemplary types of hardware logic components include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.
- FPGAs field programmable gate arrays
- ASICs application specific integrated circuits
- ASSPs application specific standard products
- SOCs systems on chip
- CPLDs complex programmable logic devices
- a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment.
- a machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
- a machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing.
- a more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
- RAM random access memory
- ROM read-only memory
- EPROM or flash memory erasable programmable read-only memory
- CD-ROM portable compact disk read-only memory
- CD-ROM compact disk read-only memory
- magnetic storage device or any suitable combination of the foregoing.
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Abstract
一种对象的信息管理方法,包括响应于提交创建信息生产任务的请求,在任务列表展示界面中展示信息生产任务的任务创建条目,任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;响应于对加载操作控件的触发操作,根据信息生产任务对应的数据来源信息加载相关的对象数据集;对对象数据集中的对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成信息生产任务对应的初始关键信息集。
Description
本申请要求2023年08月31日递交的、标题为“一种对象的信息管理方法、装置、设备及存储介质”、申请号为202311118661.X的中国发明专利申请的优先权,该申请的全部内容通过引用结合在本申请中。
本公开实施例涉及计算机技术领域,尤其涉及一种对象的信息管理方法、装置、设备及存储介质。
在实际应用中,存在一些产品对象,如在电商平台参与售卖的商品,其常常会出现不同商家同时售卖一款产品对象的情况,不同的商家均存在需要在电商平台上对该款产品对象进行相关产品信息描述以及介绍的需求。为便于不同商家对同一产品对象实现统一正确的产品信息描述,也便于消费者更加快速从不同商家中做出消费决策,可以采用为电商平台上所涉及产品对象(如所售卖商品)创建标准化对象信息(关键性描述信息)的形式来实现。
然而,关于产品对象的关键信息生成,目前存在下述问题:受关键信息生成方式的限制,导致目前无法实现产品对象关键信息的规模化生产,且也限制了具备有关键性描述信息的产品对象所涉及的对象类别范围。
发明内容
本公开实施例提供了一种对象的信息管理方法、装置、设备及存储介质,以实现产品对象所涉及关键信息的规模化生产,也提高了关键信息所涵盖产品对象的对象类别范围。
第一方面,本公开实施例提供了一种对象的信息管理方法,该方法包括:
响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;
响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集;
对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
第二方面,本公开实施例还提供了一种对象的信息管理装置,该装置包括:
第一响应模块,用于响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;
第二响应模块,用于响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集;
信息生产模块,用于对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
第三方面,本公开实施例还提供了一种计算机设备,该计算机设备包括:
一个或多个处理器;
存储装置,用于存储一个或多个程序,
当所述一个或多个程序被所述一个或多个处理器执行,使得所述一个或多个处理器实现本公开任意实施例所提供的对象的信息管理方法。
第四方面,本公开实施例还提供了一种计算机可读存储介质,其上存储有计算机程序,该计算机程序被处理器执行时实现本公开任意实施例所提供的对象的信息管理方法。
为了更加清楚地说明本公开示例性实施例的技术方案,下面对描述实施例中所需要用到的附图做一简单介绍。显然,所介绍的附图只是本公开所要描述的一部分实施例的附图,而不是全部的附图,对于本领域普通技术人员,在不付出创造性劳动的前提下,还可以根据这些附图得到其他的附图。
图1为本公开实施例提供的一种对象的信息管理方法的流程示意图;
图2a给出了本实施例所提供方法涉及信息生产任务创建时所采用任务创建界面的效果展示图;
图2b给出了本实施例所提供方法运行中所涉及任务列表展示界面的效果展示图;
图2c给出了本实施例所提供方法在信息审核平台侧实现信息清洗时所呈现信息清洗操作界面的界面展示图;
图3为本公开实施例提供的一种对象的信息管理装置的结构示意图;
图4为本公开实施例提供的一种计算机设备的结构示意图。
下面将参照附图更详细地描述本公开的实施例。虽然附图中显示了本公开的某些实施例,然而应当理解的是,本公开可以通过各种形式来实现,而且不应该被解释为限于这里阐
述的实施例,相反提供这些实施例是为了更加透彻和完整地理解本公开。应当理解的是,本公开的附图及实施例仅用于示例性作用,并非用于限制本公开的保护范围。
应当理解,本公开的方法实施方式中记载的各个步骤可以按照不同的顺序执行,和/或并行执行。此外,方法实施方式可以包括附加的步骤和/或省略执行示出的步骤。本公开的范围在此方面不受限制。
本文使用的术语“包括”及其变形是开放性包括,即“包括但不限于”。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”;术语“另一实施例”表示“至少一个另外的实施例”;术语“一些实施例”表示“至少一些实施例”。其他术语的相关定义将在下文描述中给出。
需要注意,本公开中提及的“第一”、“第二”等概念仅用于对不同的装置、模块或单元进行区分,并非用于限定这些装置、模块或单元所执行的功能的顺序或者相互依存关系。需要注意,本公开中提及的“一个”、“多个”的修饰是示意性而非限制性的,本领域技术人员应当理解,除非在上下文另有明确指出,否则应该理解为“一个或多个”。
本公开实施方式中的多个装置之间所交互的消息或者信息的名称仅用于说明性的目的,而并不是用于对这些消息或信息的范围进行限制。
本公开实施方式中的多个装置之间所交互的消息或者信息的名称仅用于说明性的目的,而并不是用于对这些消息或信息的范围进行限制。
可以理解的是,在使用本公开各实施例公开的技术方案之前,均应当依据相关法律法规通过恰当的方式对本公开所涉及个人信息的类型、使用范围、使用场景等告知用户并获得用户的授权。
例如,在响应于接收到用户的主动请求时,向用户发送提示信息,以明确地提示用户,其请求执行的操作将需要获取和使用到用户的个人信息。从而,使得用户可以根据提示信息来自主地选择是否向执行本公开技术方案的操作的电子设备、应用程序、服务器或存储介质等软件或硬件提供个人信息。
作为一种可选的但非限定性的实现方式,响应于接收到用户的主动请求,向用户发送提示信息的方式例如可以是弹窗的方式,弹窗中可以以文字的方式呈现提示信息。此外,弹窗中还可以承载供用户选择“同意”或者“不同意”向电子设备提供个人信息的选择控件。
可以理解的是,上述通知和获取用户授权过程仅是示意性的,不对本公开的实现方式构成限定,其它满足相关法律法规的方式也可应用于本公开的实现方式中。
图1为本公开实施例提供的一种对象的信息管理方法的流程示意图,本实施例可适用于对产品对象所涉及关键信息进行管理的情况,该方法可以由对象的信息管理装置来执行,该装置可以通过软件和/或硬件来实现,可配置于终端和/或服务器中来实现本公开实施例中的对象的信息管理方法。
需要说明的是,本实施例的一个应用场景可以描述为:在汇集有大规模产品对象的电商平台上,具备对同一产品对象进行统一对象信息描述的需求,而对产品对象的统一对象信息描述可认为是对产品对象的关键性对象信息描述,该关键性对象信息就可简称为关键信息。目前,为产品对象生产关键信息的操作已成为一种趋势。然而,由于电商平台中所包含产品对象的数量规模越来越大、种类越来越多,如果仅靠人工搜集对象描述信息来进行关键信息的生产,其成本投入和生产效率都无法满足日益增长的关键信息生产需求,很大程度局限了关键信息生产涉及的产品对象类别范围,同时也无法快速提升以关键信息进行产品对象描述的所关联的产品对象数量。
本公开实施例的技术方案,具体公开了一种对象的信息管理方法、装置、设备及存储介质,该方法包括:响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示信息生产任务的任务创建条目,任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;响应于对加载操作控件的触发操作,根据信息生产任务对应的数据来源信息加载相关的对象数据集;对对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成信息生产任务对应的初始关键信息集。上述技术方案,可以在具备关键信息生产需求时首先创建信息生产任务,所生成信息生产任务的任务信息就能够以条目形式展示在任务列表展示界面中,所展示任务信息条目对应有操作项单元格,操作项单元格中可以包括触发该信息生产任务响应相关执行逻辑的操作控件,在响应对信息生产任务所对应加载操作控件的触发后,就可以执行该信息生产任务的信息生产逻辑,最终获得该信息生产任务对应的初始关键信息集。通过本实施例上述技术方案,只需要简单的进行信息生产任务的创建就能简单有效的生成该信息生产任务对应的关键信息集合,关键信息集合中包含了一定规模的关键信息。与现有技术相比,本技术方案提供了信息规模化生产的生产途径,能够简单高效的实现产品对象的关键信息规模化生成,更好地节省了产品对象关键信息生产阶段的人力及时间成本投入,也更好的提升了产品对象关键信息的生产效率。
本实施例提供的一种对象的信息管理方法,能够有效解决现有关键信息生产所存在的问题。具体的,如图1所示,本实施例提供的一种对象的信息管理方法可以包括:
S101、响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件。
在本实施例中,相当于所提供的信息管理方法可以由预先搭建的执行平台来执行,该执行平台可以是信息管理可操作平台,因此,本实施例可以通过信息管理可操作平台来实现产品对象的关键信息生产。需要说明的是,本实施例中产品对象可优选为电商平台场景下参与网购的对象,但本实施例中的产品对象并不局限于在电商平台场景下的应用,可以是任意具备关键信息生产需求的应用场景。
具体的,本实施例可认为作为所提供方法执行平台的信息管理可操作平台上提供有用于实现关键信息生产的信息生产功能项,该信息生产功能项可以展示相关的功能界面,该功能界面可以是任务列表展示界面。该任务列表展示界面中可以通过任务列表的形式对已创建的信息生产任务的任务信息进行展示,而每个信息生产任务涉及的任务信息在任务列表中以条目形式来呈现,作为信息生产任务的任务信息条目。
其中,任务列表可认为按照预先所设定的列属性项对所创建信息生产任务的任务信息条目进行展示的任务信息汇总表,任务列表中的每个任务信息条目对应一个已创建的信息生产任务,任务信息条目中任务信息可认为是基于信息生产任务创建阶段所配置创建信息形成,其可以包括创建阶段相对所创建任务配置的任务名称以及任务类型等信息。
在本实施例中,任务列表展示界面展示的任务列表中所包含的任务信息条目需要预先通过信息生产任务的创建来实现。对于信息生产任务的创建,其中一种实现方式可以描述为:任务列表展示界面中可以展示有任务创建控件,通过对任务创建控件的触发可以弹出任务创建界面,在该任务创建界面中,就可以对要创建的信息生产任务进行相关创建信息的配置,如可以包括所创建信息生产任务的任务名称以及标识生产所涉及数据的数据类型等,还可以对所创建任务进行信息生产后是否与商品建立关联关系的配置。
接上述描述,在所弹出任务创建界面中,还需要给出信息生产所涉及对象数据的导入路径或者上传路径,以用来在进行信息生产时获得所涉及的对象数据。在一些实施例中,导入路径或者上传路径可以对应对象数据的本地离线存储路径,也可以对应对象数据的在线存储路径。本实施例可以将配置的数据路径看作数据来源信息。
同时,任务创建界面中还可以展示提交所创建任务的创建提交控件,可以在完成信息生产任务所涉及各待创建项的信息配置后,进行创建提交控件的触发。本实施例可以接收到对该创建提交控件进行触发后所生成的创建提交请求,并可以通过本步骤来响应该创建提交请求。
可以知道的是,在基于对创建提交控件的触发生成创建提交请求的过程中,相当于对在任务创建界面中编辑或配置的任务信息进行汇总的过程,该过程可认为是对所创建信息生产任务进行配置的任务名称、任务类型、数据类型以及关联任务构建与否等任务创建信息的汇总。在本实施例中,可以通过本步骤来响应该所述创建提交请求,并由此获取到该创建提交请求对应的任务创建信息,从而通过所获取的任务创建信息来形成所创建该信息生产任务的任务信息条目。
在本实施例中,可认为任务列表所设定的列属性项中包含有操作属性项,所述操作属性项具体可用于为所创建信息生产任务提供操作所需的操作控件。不同信息生产任务涉及的操作控件分别展示在相应任务信息条目的操作项单元格中。示例性的,对于新创建的信息生产任务而言,其所对应任务信息条目的操作项单元格中包含了的加载操作控件,通过对该加载
操作控件的触发,可用于加载信息生产所需的对象数据。
需要说明的是,任务列表中不同任务信息条目的操作项单元格中可以包含几个固定的通用操作控件,如每个任务信息条目的操作项单元格中可以包括查看详情控件、还可以包括关闭任务控件以及编辑任务控件;此外,操作项单元格中也可以根据所对应信息生产任务的生产所处状态,包含进入下一生产状态的操作控件。示例性的,对于新创建的信息生产任务而言,其首先具备的生产所处状态为任务创建完成,该任务创建完成后将要进入的下一生产状态则可以是信息生产所需对象数据的数据加载状态,由此,相应任务信息条目的操作项单元格在信息生产任务处于任务创建完成时呈现出进入下一生产状态(数据加载)所需的加载操作控件。
为更好理解为本实施例所提供方法执行中实现的信息生产任务创建以及在任务列表展示界面中的展示。本实施例给出了所涉及效果示意图的展示,具体的,图2a给出了本实施例所提供方法涉及信息生产任务创建时所采用任务创建界面的效果展示图。如图2a所示,所展示的任务创建界面21中包含有任务配置项210,可用来进行任务名称、任务类型、数据类型以及任务说明等可编辑项的信息编辑;还包含有对象数据项211,提供了对信息生产所依赖对象数据的数据路径进行配置的配置操作区。在实际应用中,任务创建界面21中还可以包含对关联关系建立与否进行配置的配置操作区(图2a未示出),以及用于提交所创建任务的任务提交控件212。
可以知道的是,通过图2a所提供任务创建界面进行信息生产任务的创建配置并响应任务提交控件的触发生成创建提交请求后,可以通过本步骤响应创建提交请求,进而相对所创建信息生产任务形成任务信息条目以及将任务信息条目展示在任务列表展示界面的任务列表中。
图2b给出了本实施例所提供方法运行中所涉及任务列表展示界面的效果展示图。如图2b所示,所展示的任务列表展示界面22中包含了任务列表,任务列表中呈现有已创建的不同信息生产任务对应的任务信息条目221,且任务信息条目221中可展示的列属性项包括:任务ID、对象数据来源、对象数量、生产所处状态、任务更新时间以及操作项单元格。在一些实施例中操作项单元格中包含了通用的查看详情控件、关闭任务控件以及编辑任务控件、还包含了由生产所处状态触发进入下一生产状态的操作控件。
S102、响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集。
在本实施例中,呈现在操作项单元格中的加载操作控件被触发后,可以生成加载操作控件的触发操作。本步骤可以响应该加载操作控件的触发操作,控制响应的信息生产任务进入到数据加载状态。需要知道的是,信息生产任务在数据加载状态下,不仅是对对象数据的简单加载,还包括了基于所加载对象数据来相对信息生产任务生成关键信息集的过程,其中,
本实施例可以将该关键信息集记为初始关键信息集。基于上述描述可以认为,本实施例具体通过本步骤以及下述S103来实现对加载操作控件所涉及触发操作的响应。
具体的,首先可以通过本步骤来加载信息生产任务进行信息生产所需的对象数据。在一些实施例中,数据来源信息可以是信息生产任务的创建阶段配置的数据路径信息,通过该数据来源信息中具体的数据路径可以获取到相关的对象数据。本实施例为实现关键信息的规模化生产,其所依赖的对象数据往往是一定数量的,本实施例将加载所获得一定数量的对象数据记为对象数据集。
S103、对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
在本实施例中,通过上述步骤进行对象数据集的加载后,可以通过本步骤对对象数据集中的对象数据进行聚簇处理,其中,可以通过聚类算法来实现对对象数据的聚簇处理,聚簇处理后的聚簇结果可以为满足聚类条件后形成的至少一个对象聚类簇。在一些实施例中,聚类条件可以是按同一产品对象进行聚类,或者按属于同一产品类目进行聚类。本实施例优选采用同一产品对象来实现聚类,且处于对象聚类簇中的对象数据可认为是同一产品对象的同类对象数据,本实施例也可记为同簇对象数据。
接上述描述,在获取包含至少一个对象聚类簇的聚类结果后,本步骤可以进一步对每个对象聚类簇中同簇对象数据进行数据分析,从而相对每个对象聚类簇生成一条关键数据,本实施例可以将一条关键数据看作一条关键信息。即,通过本步骤可以为聚簇结果中包含的所有对象聚类簇分别生成一条关键信息,可以知道,本实施例相对所创建信息生产任务初始生成的关键信息的数据量与聚簇结果所包含对象聚类簇的簇数量相同,本实施例可以将生成的关键信息记为初始关键信息并汇总全部初始关键信息构成该信息生产任务的初始关键信息集。
在本实施例中,可以选择一定的数据属性项来作为构成关键信息的关键信息属性项。选定的关键信息属性项同样包含在对象数据所具备的数据属性项中。本实施例可以通过对聚类结果中各对象聚类簇内同簇对象数据的分析,来获得对象聚类簇对应的关键信息。
其中,数据分析的一种实现方式可以描述为:针对每个对象聚类簇,可以获得所包括各同簇对象数据相对所选定各关键信息属性项的属性值,之后通过对关键信息属性项下所涉及各属性值的分析,可以确定出关键属性值,确定出的该关键属性值就可以作为相应关键信息属性项的标品属性值,最终,基于各关键信息属性项的标品属性值就可以形成一条关键信息。
本实施例提供的一种对象的信息管理方法,可以在具备关键信息生产需求时首先创建信息生产任务,所生成信息生产任务的任务信息就能够以条目形式展示在任务列表展示界面中,所展示任务信息条目对应有操作项单元格,操作项单元格中可以包括触发该信息生产任务响应相关执行逻辑的操作控件,在响应对信息生产任务所对应加载操作控件的触发后,就可以
执行该信息生产任务的信息生产逻辑,最终获得该信息生产任务对应的初始关键信息集。通过本实施例上述技术方案,只需要简单的进行信息生产任务的创建就能简单有效的生成该信息生产任务对应的关键信息集合,关键信息集合中包含了一定规模的关键信息。与现有技术相比,本技术方案提供了信息规模化生产的生产途径,能够简单高效的实现产品对象的关键信息规模化生成,更好地节省了产品对象关键信息生产阶段的人力及时间成本投入,也更好的提升了产品对象关键信息的生产效率。
作为本实施例的第一可选实施例,在上述优化的基础上,可以将对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集具体化为下述步骤:
a1)根据所述对象数据集中的对象数据结合预设的对象同类匹配模型,进行聚簇处理并获得所述信息生产任务对应的聚簇结果,其中,所述聚簇结果中包括至少一个对象聚类簇,所述对象聚类簇中包括同簇对象数据,所述同簇对象数据为所述对象数据集中具备同一设定属性的对象数据。
在本实施例中,将对象数据集中对象数据进行聚簇处理时,所设定的聚簇条件可以是要保证聚簇后所形成各对象聚类簇中包含具备同一设定属性的产品对象的对象数据,其中,同一设定属性可具体为同一款产品对象。所述对象同类匹配模型可看作对对象数据进行同类匹配划分的处理模型,可认为在将对象数据输入至对象同类匹配模型后,就能确定出哪些对象数据为同一产品对象的对象数据。
接上述描述,对象数据集中的对象数据可以输入至对象同类匹配模型,并可获得输出的至少一个同类对象数据列表,之后可以在按照设定的合并条件对不同的同类对象数据列表进行合并,最终可以在合并所形成同类对象数据列表的列表数量值保持不变后,将每个同类对象数据列表中包含的同类对象数据看作一个对象聚类簇,进而获得了包含至少一个对象聚类簇的聚簇结果。
b1)根据各所述对象聚类簇,生成所述信息生产任务对应的初始关键信息集。
在本实施例中,可以获得构成关键信息涉及到的关键属性项,在对象聚类簇中,可以从所包含同类对象数据的各数据属性值中提取相对各关键属性项的属性值,通过对每个关键属性项所对应各属性值的分析和比较,可以相对每个关键属性项确定出一个关键属性值。基于每个关键信息项的关键属性值就可以构成相关对象聚类簇的一条关键信息,本实施例可以记为初始关键信息,最终可汇总各初始关键信息形成信息生产任务的初始关键信息集。
上述技术方案,给出了初始关键信息集确定的一种实现方式,该实现中可以将关键信息的确定转化为在对象数据中找同类,以及基于同类数据进行聚类。该种实现方式考虑了同类产品对象之间数据属性相似性,来实现对象数据信息的归类,通过该种方式形成的关键信息能够更好的实现同一产品对象的统一信息内容描述。且该种实现方式主要为数据信息的分析,
无需人工参与,更好的提高了关键信息的生产效率。
在本第一可选实施例中,可以对根据所述对象数据集中的对象数据结合预设的对象同类匹配模型,进行聚簇处理并获得所述信息生产任务对应的聚簇结果的实现进一步优化,具体可以包括下述步骤:
a11)从所述对象数据集选定多个对象数据,分别作为用于同类匹配的基准对象数据。
在本实施例中,可以借助聚类处理的实现思路,从对象数据集的对象数据中首先选定用于对象数据聚类的基准对象数据,其中,对象数据聚类可以通过进行同类匹配操作来实现。本实施例不对所选定基准对象数据的基准对象数量进行限定。为保证聚类结果的准确度,本实施例可优选将对象数据集中的每个对象数据分别作为基准对象数据。
a12)根据预设的对象同类匹配模型,从所述对象数据集中确定与各所述基准对象数据匹配的同类对象数据,形成多个包含基准对象数据及相应同类对象数据的同类对象数据集。
需要知道的是,上述所选定的基准对象数据,可以作为对象数据找同类时的同类匹配参与数据,即在找同类的实现中,需要从对象数据集的对象数据中确定与该基准对象数据属于同一类产品对象的同类对象数据。
在本实施例中,可以通过对象同类匹配模型来从对象数据集中为每个基准对象数据查找属于同类范畴的同类对象数据。在一些实施例中,对象同类匹配模型可以是预先构建并通过训练学习的网络模型,也可以是通过样本训练后的数据分类模型。本实施例可以采用以训练好的该对象同类匹配模型。
在本实施例中,可以将基准对象数据的相关属性项的数据信息输入至对象同类匹配模型,然后将待匹配的对象数据也输入至对象同类匹配模型,相对该对象数据就可输出是否为该基准对象数据的同类对象数据的匹配结果。本步骤可以相对每个基准对象数据获得一个同类对象数据列表,且该基准对象数据及同类对象数据列表中的同类对象数据可以构成一个同类对象数据集。
通过本步骤可以获得到与基准对象数据的种子数量一样多的同类对象数据集。
a13)根据所述多个同类对象数据集,确定所述信息生产任务对应的聚簇结果。
需要知道的是,考虑到进行基准对象数据选定时,所选定基准对象数据之间已经存在同类对象数据,由此,相对不同基准对象数据形成的同类对象数据集中,可能存在相同的同类对象数据,即不同的同类对象数据集之间还存在再次进行合并的可能。
在本实施例中,获得一定数量的同类对象数据集后,可以通过本步骤对不同的同类对象数据集按照合适的合并方式进行数据集合并,形成新的同类对象数据集,且该合并处理的过程可以重复进行,直至所剩余同类对象数据集的数量不再发生变化,本步骤可以基于结束合并处理后剩余的同类对象数据集来构成聚簇结果。
其中,进行数据集合并所采用的合并方式可以是分别将两同类对象数据集中的同类对象
数据进行比对,如果两同类对象数据集中所包含相同对象数据的比例值达到设定阈值,则可认为该两同类对象数据集满足合并条件,需要进行同类数据集的数据集合并。
接上述描述,同类对象数据集的数量不再发生变化后,可以将剩余的每个同类对象数据集看作一个对象聚类簇,以及将同类对象数据集中包含的同类对象数据看作对象聚类簇中的同簇对象数据。本实施例可以将获得的对象聚类簇看作聚类处理的聚类结果。
上述对聚簇结果的具体实现,可以作为关键信息确定的数据支持,从而保证关键信息规模化确定的确定效率。
作为一种实现方式,可以将根据所述多个同类对象数据集,确定所述信息生产任务对应的聚簇结果具体化为:
a131)对所述多个同类对象数据集两两进行对象重合度计算,在确定的对象重合度满足合并条件时进行相应两同类对象数据集的合并,获得新的同类对象数据集。
在本实施例中,可以从多个同类对象数据集中任意选定两个同类对象数据集,然后对所选定两个同类对象数据集中的同类对象数据进行商品重合度计算,其中,商品重合度可以通过两同类对象数据集中所包含相同对象数据的相同对象数量来确定,如商品重合度可以是相同对象数量与两同类对象数据集所包含对象数据的总数量的比值。
在本实施例中,商品重合度满足合并条件的一种实现可以是相同对象数量与两同类对象数据集所包含对象数据的总数量的比值大于或等于预先设定的比例阈值。本步骤可以在满足合并条件时,将两同类对象数据集中的同类对象数据合并到一个数据集中,构成一个新的同类对象数据集。
a132)重复执行对象重合度的计算及同类对象数据集的合并操作,直至所获得同类对象数据集的数量保持不变。
在本实施例中,可以在每次执行完同类对象数据集的合并操作后,统计同类对象数据集的数据集数量。如果最后一次统计的数据集数量与在前一次统计的数据集数量不再发生变化,则可认为达到执行逻辑重复执行的结束条件,否则,需要返回步骤a131)重新执行商品重合度的计算及同类对象数据集的合并操作。
a133)将重复操作结束后获得的每个同类对象数据集作为一个对象聚类簇,并相对所述信息生产任务构成包含各所述对象聚类簇的聚簇结果,其中,所述对象聚类簇中包含的同类对象数据记为同簇对象数据。
在本实施例中,可以在上述步骤满足重复执行结束条件后,通过本步骤来将剩余的每个同类对象数据集作为一个对象聚类簇。聚簇结果中可以包含全部的对象聚类簇,且每个对象聚类簇中包含的同类对象数据可以记为同簇对象数据。
上述技术方案给出了聚簇结果的一种具体实现方式,为聚簇结果的确定提供了有效的底层逻辑支持。
在本第一可选实施例中,可以将根据各所述对象聚类簇,生成所述信息生产任务对应的初始关键信息集进一步具体化为下述步骤:
b11)针对构成所述聚簇结果的每个对象聚类簇,获取所述对象聚类簇中包含的同簇对象数据。
本实施例的步骤b11)以及下述步骤b12)可认为是适用于对每个对象聚类簇进行关键属性值确定的处理。对于要确定关键属性的对象聚类簇,均可以通过本步骤来确定该对象聚类簇中包含的同簇对象数据。
b12)根据所述同簇对象数据中所包含各数据属性项的属性值,确定相应数据属性项的关键属性值。
在本实施例中,可认为对象数据的数据信息具体由不同数据属性项的属性值构成。对于各同簇对象数据,其相对同一数据属性项的属性值可能相同,也可能不同。本实施例可以从该数据属性项的多个属性值中取众数,将众数数据值作为该数据属性项的关键属性值。
通过上述描述,可以为同簇对象数据中的各数据属性项都确定出一个关键属性值。
b13)基于各所述关键属性值构成所述对象聚类簇的初始关键信息,并基于各所述对象聚类簇的初始关键信息构成所述信息生产任务对应的初始关键信息集。
在本实施例中,可认为构成关键信息的关键属性项来自于对象数据中所具备的数据属性项,该关键信息属性项可以为对象数据的全部数据属性项,也可以为对象数据的部分数据属性项。对于一个对象聚类簇而言,通过对象聚类簇中所包含同簇对象数据确定出各数据属性项的关键属性值后,可以直接基于各数据属性项的关键属性值构成该对象聚类簇的初始关键信息;可以基于部分作为关键信息属性项的关键属性值构成该对象聚类簇的初始关键信息。
本第一可选实施例上述给出的初始关键信息集实现方案,无需人工参与,更好的提高了关键信息的生产效率。
作为本实施例的第二可选实施例,在上述实施例的基础上,进一步增加了方法的优化步骤。
需要说明的是,本第二可选实施例所增设的方法步骤可认为在相对信息生产任务确定出初始关键信息集后执行。在一种应用场景中,初始关键信息集中包含的初始关键信息可能已经存在于用于关键信息存储的关键信息数据库中。对于每个信息生产任务而言,最终想要达到的目标就是对应该信息生产任务产生的关键信息能够是准确的、有效的,且存储到关键信息数据库中进入入库保存的。
为达到上述目标,本实施例可以通过下述步骤对初始关键信息集中初始关键信息进行第一次的去重筛选。具体的,该去重筛选可以包括下述步骤:
a2)访问预构建的关键信息数据库,将所述初始关键信息集中已存在于所述关键信息数据库的初始关键信息记为第一关键信息。
在本实施例中,可以通过本步骤将初始关键信息集中初始关键信息与关键信息数据库中已存储的入库关键信息进行比对,如果存在与入库关键信息相同的初始关键信息,则可认为该初始关键信息已存在于关键信息数据库中。本步骤可以将该类已存在于关键信息数据库中的初始关键信息记为第一关键信息。
b2)基于筛除所述第一关键信息后剩余的初始关键信息,获得所述信息生产任务的第一关键信息集。
在本实施例中,可以从初始关键信息集中滤除上述确定出的第一关键信息,并可以将余下的初始关键信息记为该信息生产任务的第一关键信息集。
本第二可选实施例的上述技术方案,实现了初始关键信息集中初始关键信息的一次去重处理。在实际应用中,所形成的初始关键信息并不能直接入库到关键信息数据库中,之后还需要经历其他数据处理环节,通过本实施例上述步骤可以先进行一批以存在于关键信息数据库中关键信息的滤除,来减少后续其他数据处理环节所要处理数据的数据规模,能够更好的减少后续标品相关处理逻辑实现中的资源占用率。
作为本实施例的第三可选实施例,在上述第二可选实施例的基础上,同样增加了方法优化步骤。
基于上述描述,在将信息生产任务对应的初始关键信息进行到关键信息数据库的入库操作之前,除了要进行已入库关键信息的去重筛选,还需要对余下未入库的初始关键信息继续进行后续的处理。本第三可选实施例中,可以从通过下述优化增加的方法步骤对去重后获得第一关键信息集进行信息清洗的处理以及进行信息质检的处理。具体的,所增加的方法步骤可以包括:
a3)响应于对信息清洗控件的触发操作,生成包含所述第一关键信息集中关键信息的信息清洗列表,并将所述信息清洗列表提交至信息审核平台,所述信息清洗控件在获得所述第一关键信息集后呈现于所述任务信息条目的操作项单元格中。
在本实施例中,为信息生产任务确定出初始关键信息集并进行去重筛选获得第一关键信息集后,其在任务列表展示界面中对应的任务信息条目需要进行信息更新。具体的,可以将任务信息条目中包括的生产所处状态变更为数据加载完成的状态,同时可以将任务信息条目中包括的对象数量更新为该信息生产任务进行初始关键信息确定以及去重筛选后第一关键信息集所包含关键信息的关键信息总数量。同时,在操作项单元格中还可以包含用于后续启动信息清洗操作的信息清洗控件。
在本实施例中,可以通过本步骤来响应对所呈现信息清洗控件的触发,由此相对该信息生产任务,可以将所对应第一关键信息集中的关键信息作为待清洗关键信息,并形成一个包含各待清洗关键信息的信息清洗列表。
该信息清洗列表可以提交至信息审核平台,其中,信息审核平台可认为是与执行本实施
例所提供方法的可操作平台相互配合来实现信息管理的协助平台。在信息审核平台侧,可以接收到本步骤提交的信息清洗列表,且可以相对该信息清洗列表构建一个清洗队列,清洗队列中包含了信息生产任务相关的所有待清洗关键信息。
在信息审核平台侧的信息清洗具体实现中,可以将该清洗队列作为一个清洗任务下发至审核人员的操作终端上,使得审核人员可以对清洗队列中的每个待清洗关键信息进行清洗审核。
示例性的,审核人员进行信息清洗的待清洗关键信息可以按照其在清洗队列中的排列顺序,顺延呈现在信息清洗操作界面中,该待清洗关键信息相对所有数据属性项的属性信息均可呈现在信息清洗操作界面中,且在信息清洗操作界面中还可以展示用于辅助审核人员进行信息清洗的产品对象材料,产品对象材料可以包括产品对象资质证明,不同类型的产品对象资质证明存在不同,如图书类的产品对象资质证明可以是版权页;美妆类的产品对象资质证明可以是食药监局提供的检验数据及使用说明等;电子产品类的产品对象资质证明可以是3C证书等。此外,负责信息清洗的产品对象材料中还可以包括:该待清洗关键信息在对象聚类簇中所关联同簇商品的同簇商品信息。
在信息审核平台侧,可以在待清洗关键信息经过信息清洗操作界面给出的产品对象材料以及其他清洗参考项通过信息清洗的清洗审核后,形成信息清洗结果并通过对信息清洗操作界面中提交控件的触发来将信息清洗结果缓存至该信息清洗列表所对应的已清洗信息列表中。且信息审核平台侧可以在完成对信息清洗列表中所有待清洗信息的清洗后,将对应形成的已清洗信息列表反馈至本实施例所提供方法的执行平台侧。
图2c给出了本实施例所提供方法在信息审核平台侧实现信息清洗时所呈现信息清洗操作界面的界面展示图。如图2c所示,所展示的信息清洗操作界面23中包含了待清洗关键信息的关键信息展示区231、信息清洗所依赖产品对象材料的材料信息展示区232以及信息清洗所依赖同类对象的同类对象信息展示区233,还包括有用于信息清洗审核结果填报的结果填报选项234,以及进行信息清洗审核提交的提交控件235。信息审核平台侧的审核人员可以在信息清洗操作界面23中完成对所呈现待清洗信息的清洗。且完成对所呈现待清洗信息的清洗后的信息清洗审核结果可以缓存在已清洗信息列表中,并可以在信息清洗操作界面23中重新展示下一个待清洗关键信息相关的数据内容。
b3)接收所述信息审核平台相对所述信息清洗列表反馈的已清洗信息列表,并基于所述已清洗信息列表中的信息清洗审核结果构成所述信息生产任务的第二关键信息集。
在本实施例中,通过本步骤可以接收到信息审核平台相对所述信息清洗列表反馈的已清洗信息列表。已清洗信息列表中包含了与信息清洗列表中待清洗关键信息相对于的信息清洗审核结果。待清洗关键信息来自于第一关键信息集,因此,已清洗信息列表中包含了第一关键信息集中各关键信息的信息清洗审核结果。
在本实施例中,可以通过第一关键信息集中各关键信息的信息清洗审核结果,来确定哪些关键信息通过了信息清洗审核,哪些关键信息未通过信息清洗审核。之后可以基于通过了信息清洗审核的关键信息构成该信息生产任务的第二关键信息集。
c3)响应于对信息质检控件的触发操作,生成包含所述第二关键信息集中信息清洗审核结果的信息质检列表,并将所述信息质检列表提交至所述信息审核平台,所述信息质检控件在接收到所述已清洗信息列表后呈现于所述操作项单元格中。
在本实施例中,同样可以知道的是,对信息生产任务对应的第一关键信息集进行信息清洗获得第二关键信息集后,其在任务列表展示界面中对应的任务信息条目同样会进行信息更新。具体的,任务信息条目中包括的生产所处状态可以再次变更为信息清洗完成的状态,且任务信息条目中包括的对象数量可以更新为该信息生产任务进行信息清洗后所形成第二关键信息集中所包含关键信息的关键信息总数量。同时,在操作项单元格中还可以包含用于后续启动信息质检操作的信息质检控件。该信息质检控件可以在接收到所述已清洗信息列表后呈现于所述操作项单元格中。
在本实施例中,可以通过本步骤来响应对所呈现信息质检控件的触发,由此相对该信息生产任务,可以将所对应第二关键信息集的关键信息作为待质检关键信息,并形成一个包含各待质检关键信息的信息质检列表。
该信息质检列表同样可以提交至信息审核平台,在该信息审核平台,可以接收到本步骤提交的信息质检列表,且可以相对该信息质检列表构建一个质检队列,质检队列中包含了信息生产任务相关的所有待质检关键信息。在信息审核平台侧的信息质检具体实现中,可以将该质检队列作为一个质检任务下发至与区别于数据清除审核人员的质检审核人员的操作终端上,使得质检审核人员可以对质检队列中的每个待质检关键信息进行质检审核。
示例性的,质检审核人员进行信息质检的待质检关键信息同样可以按照其在质检队列中的排列顺序,顺延呈现在信息质检操作界面中。需要说明的是,本实施例对关键信息进行的信息质检,可认为是对关键信息进行的二次信息清洗,只是参与信息质检的质检审核人员为区别与参与信息清洗的审核人员,质检审核人员可以是经验更丰富的专业人员。
可以知道的是,该信息质检操作界面中所展示的数据信息基于与信息清洗阶段所展示的数据信息相同,其信息清洗操作界面中同样可以包括待质检关键信息相对所有数据属性项的属性信息,且在信息质检操作界面中同样可以展示用于辅助质检审核人员进行信息质检的产品对象材料。具体所包括的产品对象材料同样可以包含商品资质证明以及同类对象的同类对象数据信息等。
在信息审核平台侧,同样可以在待质检关键信息经过信息质检操作界面给出的产品对象材料以及其他质检参考项通过信息质检的质检审核后,形成信息质检结果并通过对信息质检操作界面中提交控件的触发来将信息质检结果缓存至该信息质检列表所对应的已质检信息
列表中。且信息审核平台侧可以在完成对信息质检列表中所有待质检信息的质检后,将对应形成的已质检信息列表反馈至本实施例所提供方法的执行平台侧。
d3)接收所述信息审核平台相对所述信息质检列表反馈的已清洗质检列表,并基于所述已质检信息列表中的已质检关键信息构成所述信息生产任务的第三关键信息集。
在本实施例中,通过本步骤可以接收到信息审核平台相对所述信息质检列表反馈的已质检信息列表。已质检信息列表中包含了与信息质检列表中待质检关键信息相对于的信息质检审核结果。待质检关键信息来自于第二关键信息集,因此,已质检信息列表中包含了第二关键信息集中各关键信息的信息质检审核结果。
在本实施例中,可以通过第二关键信息集中各关键信息的信息质检审核结果,来确定哪些关键信息通过了信息质检审核,哪些关键信息未通过信息质检审核。之后可以基于通过了信息质检审核的关键信息构成该信息生产任务的第三关键信息集。
本第三可选实施例的上述技术方案,给出了对信息生产任务所涉及关键信息进一步进行数据清除处理以及信息质检处理的具体实现。通过本第三可选实施例提供的方法对关键信息进行处理后,能够更好的保证所生产关键信息的有效性,也更好提高的关键信息的准确性。
作为本实施例的第四可选实施例,在上述第三可选实施例的基础上,同样增加了方法优化步骤。
通过上述第三可选实施例所提供方法对关键信息进行的处理,相当于相对信息生产任务形成了高精准的关键信息。原则上可以直接对高精准关键信息进行入库存储。然而,需要说明的是,在信息清洗以及信息质检阶段,还包括了对所审核关键信息进行数据信息校正的操作,即,可以通过提供的产品对象材料以及同类对象数据信息,对关键信息的数据信息进行更精准的校正,形成校正后的关键信息,并反馈至本实施例所提供方法的执行平台侧,并采用校正后的关键信息来替换关键信息集中已有的关键信息。
基于上述描述,在对初始关键信息集进行入库筛选后形成第一关键信息集,只可以保证第一关键信息集中的关键信息未存在于关键信息数据库中,然后通过上述信息清洗以及信息质检的操作进一步对第一关键信息集中关键信息进行校正后,并不能保证所形成第三关键信息集中的关键信息不会与关键信息数据库中入口关键信息的数据信息相重合。由此,本第四可选实施例可进一步优化所述操作项单元格在获得所述第三关键信息集后呈现有数据入库控件,且在本第四可选实施例中,该方法还可以通过下述步骤来实现关键信息的入口操作:
a4)响应于对所述数据入库控件的触发操作,对所述第三关键信息集进行入库筛选。
在本实施例中,对信息生产任务的第二关键信息集进行信息质检获得第三关键信息集后,其在任务列表展示界面中对应的任务信息条目也会进行信息更新。具体的,任务信息条目中包括的生产所处状态可以变更为信息质检完成的状态,且任务信息条目中包括的对象数量可以更新为该信息生产任务进行信息质检后所形成第三关键信息集中所包含关键信息的关键
信息总数量。同时,在操作项单元格中还可以包含用于后续启动数据入口操作的数据入口控件,其可以在获得所述第三关键信息集后呈现在操作项单元格中。
在本实施例中,可以通过本步骤来响应对所呈现数据入库控件的触发,由此相对该信息生产任务,可以将所对应第三关键信息集中的关键信息进行入库处理。在一些实施例中,在第三关键信息集中关键信息入库之前,可以通过本步骤对所述第三关键信息集进行入库筛选。入库筛选的一种实现可以描述为:将第三关键信息集中关键信息与关键信息数据库中的入库关键信息进行比对,确定第三关键信息集中是否存在与入库关键信息相同的关键信息。
b4)将已存在于所述关键信息数据库的关键信息记为第二关键信息,以及将未存在于所述关键信息数据库的关键信息记为第三关键信息,并将所述第三关键信息添加至所述关键信息数据库中。
在本实施例中,通过上述步骤进行入库筛选后,可以确定出第三关键信息集中是否包含已存在于所述关键信息数据库的关键信息,若存在,则可通过本步骤将这类关键信息记为第二关键信息,同时可以将第三关键信息集中未存在于关键信息数据库的关键信息记为第三关键信息,并完成第三关键信息到关键信息数据库的入库添加操作。
可以知道的是,在完成信息生产任务所对应第三关键信息到关键信息数据库的入库操作后,可以将任务信息条目中的生产所处状态更新为数据入库完成的状态,且任务信息条目中包括的对象数据也可以更新为参与数据入库的第三关键信息的关键信息总数量。
本第四可选实施例的上述技术方案,给出了信息生产任务所对应待入库关键信息的入库实现,且还给出了待入库关键信息在入库前的筛选实现。通过本实施例所提供技术方案,能够保证关键信息数据库中所入库关键信息的准确性以及唯一性。上述技术方案更好的实现了关键信息的有效规模化生产。
作为本实施例的第五可选实施例,在上述第四可选实施例的基础上,本实施例进一步考虑了信息生产任务所涉及关键信息与电商商品的关联关系的建立实现逻辑。
需要说明的是,本实施例相对信息生产任务所生产的关键信息,其中一个主要应用场景就是为电商平台上产品对象提供统一的产品对象描述信息。为达到该目标,前提条件是将关键信息与电商平台上产品对象建立关联关系。对于关键信息与产品对象的关联关系建立,其中一种实现是直接通过本实施例所提供方法的执行平台上包括的关键关系任务创建控件,来进行关联关系任务的创建。该种直接创建关联关系任务的方式,任务执行所依赖的数据包括:待建立关联关系的对象数据以及已经确定的关键信息。且所创建的关联关系任务可以呈现在关联任务列表展示界面中,并可以通过对所创建关联关系任务相关操作控件的触发,实现所提供对象数据与所提供已确定关键信息之间的关联关系挂载。
接上述描述,对于关键信息与产品对象的关联关系建立的另一种实现,可以是在进行信息生产任务创建的配置中,直接在关联关系建立与否的配置操作区,进行建立关联关系的执
行配置。由此,本实施例可以在完成信息生产任务所对应关键信息的处理后,自动相对该信息生产任务生成相应的关联关系建立相关的任务,以及实现该信息生产任务所涉及关键信息与相应产品对象直接的关联关系的建立。
具体的,为实现信息生产任务所涉及关键信息与相应产品对象直接的关联关系的建立逻辑,本实施例所提供方法中进一步包括了下述执行步骤:
a5)将确定的第一关键信息、第二关键信息和/或第三关键信息作为所述信息生产任务的有效关键信息,并将所述第一关键信息、第二关键信息和/或第三关键信息在所述聚类结果中对应的对象聚类簇分别记为有效对象聚类簇。
在本实施例中,信息生产任务在整个数据处理阶段如果对应存在第一关键信息、第二关键信息以及第三关键信息,则可以将第一关键信息、第二关键信息以及第三关键信息均记为该信息生产任务的有效关键信息。可以理解的是,第一关键信息为初始关键信息集中已存在于关键信息数据库中的入库关键信息,第二关键信息为第三关键信息集中已存在于关键信息数据库中的入库关键信息,第三关键信息则为最终入库阶段添加至关键信息数据库中的入库关键信息,上述关键信息均可认为是与信息生产任务相关的有效关键信息。
在本实施例中,无论第一关键信息、第二关键信息还是第三关键信息,其均可以看作经过前期聚簇处理后获得的关键信息,由此,第一关键信息、第二关键信息还是第三关键信息在聚簇结果中均对应存在各自的对象聚类簇。本步骤可以将第一关键信息、第二关键信息和/或第三关键信息在所述聚类结果中对应的对象聚类簇分别记为有效对象聚类簇。
b5)如果所述信息生产任务在创建阶段进行了关联关系的执行配置,则生成所述信息生产任务的关联子任务,所述关联子任务用于将所述有效关键信息与相应有效对象聚类簇中的同簇对象数据建立关联关系。
在本实施例中,信息生产任务在创建阶段只要进行了关联关系的执行配置,就可以通过本步骤生成所述信息生产任务的关联子任务,该关联子任务同样可以呈现在关联任务列表展示界面中,通过对关联子任务的触发,可以实现有效关键信息与相应有效对象聚类簇中的同簇对象数据建立关联关系。
同样可以知道的是,如果信息生产任务在创建阶段未进行关联关系的执行配置,则本实施例不会自动相对该信息生产任务生成相应的用于关联关系建立的子任务。该种情况下,就需要通过关联任务的创建逻辑,来手动完成关联子任务的建立。
本第五可选实施例上述技术方案,给出了信息生产任务所涉及关联子任务的任务建立实现。本实施例提供的上述方案相当于给出了关键信息与电商商品之间进行关联关系建立的实现途径,该技术方案能够有效解决现有方法无法大规模实现关键信息与产品对象直接关联关系建立的问题。为关键信息与产品对象的关联挂载提供了简单有效的操作通道。
接上述描述,在上述优化的基础上,该方法还可以进一步优化包括:
a6)响应于对所述关联子任务的执行触发操作,判定所述有效关键信息是否满足关联关系的免审建立条件,若是,执行步骤b6);若否,执行步骤c6)。
在本实施例中,只要所建立的关联子任务被触发,就可通过本步骤来响应关联子任务的执行触发操作。本实施例中关键信息与产品对象之间的关联关系同样需要信息审核平台侧的审核,但对于满足关联关系免审建立条件的关联子任务,可以直接实现所对应有效关键信息与相应的对象数据之间的关联关系建立。
其中,所述免审建立条件包括:所述有效关键信息对应的有效对象聚类簇中只包含一个同簇对象数据;或者,检测到所述有效关键信息对应的有效对象聚类簇中同簇对象数据的同簇准确度达到设定准确阈值。
具体的,有效关键信息对应的有效对象聚类簇中只包含一个同簇对象数据的情况可认为是存在孤品对象(即,该类产品对象只有一个)的情况。此外,在聚簇处理过程中保证了聚簇正确率的前提下,也可以对高精准聚簇下所获得有效关键信息及有效对象聚类簇中同簇对象数据之间的关联关系进行免审建立。在一些实施例中,高精准聚簇可认为是相对有效对象聚类簇中同簇对象数据确定出的同簇准确度达到了设定准确阈值。
在本实施例中,可以在满足免审建立条件时,执行步骤b6)的操作,以及在不满足免审建立条件时,执行步骤c6)的操作。
b6)直接建立所述有效关键信息与相应有效对象聚类簇中同簇对象数据的关联关系,形成关联挂载信息。
在本实施例中,可以在满足免审建立条件时通过本步骤来直接建立所述有效关键信息与相应有效对象聚类簇中同簇对象数据的关联关系,使得有效关键信息分别与有效对象聚类簇中的每个同簇对象数据建立关联,并形成有效关键信息与所关联同簇对象数据之间的关联挂载信息。
c6)对所述有效关键信息进行关联关系审核,并将所述有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系,形成关联挂载信息。
在本实施例中,在不满足免审建立条件时,通过本步骤对所述有效关键信息进行关联关系审核,且可以在有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系后,将有效关键信息与通过审核的同簇对象数据建立关联并形成有效关键信息与所关联同簇对象数据之间的关联挂载信息。
d6)将形成的关联挂载信息添加至关联挂载数据库中。
在本实施例中,完成上述关联挂载信息的确定后,就可以通过本步骤将形成的各关联挂载信息添加至关联挂载数据库中进行入库存储。
本第五可选实施例的上述技术方案,给出了关键信息与不同产品对象之间关联关系的建立实现。通过该种方式,能够大规模提升关键信息与产品对象之间的关联关系挂载成功率,
也更好的节省了时间成本和资源成本。
在上述第五可选实施例的基础上,可以将对所述有效关键信息进行关联关系审核,并将所述有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系,形成关联挂载信息具体优化为下述步骤:
c51)生成所述有效关键信息的关联关系审核列表,所述关联关系审核列表中包括有效关键信息所对应有效对象聚类簇中的同簇对象数据。
在本实施例中,对于需要审核的有效关键信息与所对应有效对象聚类簇中的同簇对象数据,可以通过本步骤来生成用于关联关系审核的关联关系审核列表。
c52)将所述关联关系审核列表提交至所述信息审核平台,并接收所述信息审核平台相对所述关联关系审核列表反馈的关联关系审核结果,所述关联关系审核结果中包括所述有效关键信息与相应各同簇对象数据的审核结果。
在本实施例中,可以将所述关联关系审核列表提交至所述信息审核平台,并由信息审核平台侧的关联关系审核人员通过相应的操作终端对管理关系审核列表中有效关键信息与所对应有效对象聚类簇中的同簇对象数据的关联关系进行审核。
接上述描述,关联关系审核人员同样可以将关联关系审核结果提交缓存至关联关系审核结果表中,关联关系审核结果表中可以包括每个有效关键信息与相关同簇对象数据之间关联关系的审核结果。本步骤可以将关联关系审核结果表反馈至本实施例所提供方法的执行平台,以获取到有效关键信息与相应各同簇对象数据的审核结果。
c53)将所述有效关键信息与审核结果为审核通过的同簇对象数据建立关联关系,形成关联挂载信息。
在本实施例中,有效关键信息与相应各同簇对象数据的审核结果可以为审核通过,或者为审核未通过,本步骤可以将所述有效关键信息与审核结果为审核通过的同簇对象数据建立关联关系,形成关联挂载信息。
本实施例上述技术方案,给出了待审核关联关系的一种审核实现方式,其具体通过信息审核平台的协助来获得审核结果,并为审核通过的有效关键信息与同簇对象数据建立关联关系。该种实现方式更好的保证了所形成关联挂载信息的准确性。
图3为本公开实施例提供的一种对象的信息管理装置的结构示意图,本实施例可适用于对产品对象所涉及关键信息进行管理的情况,该装置可以通过软件和/或硬件来实现,可配置于终端和/或服务器中来实现本公开实施例中的对象的信息管理方法。该装置具体可包括:第一响应模块31、第二响应模块32以及信息生产模块33。
其中,第一响应模块31,用于响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;
第二响应模块32,用于响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集;
信息生产模块33,用于对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
本实施例提供的一种对象的信息管理装置,可以在具备关键信息生产需求时首先创建信息生产任务,所生成信息生产任务的任务信息就能够以条目形式展示在任务列表展示界面中,所展示任务信息条目对应有操作项单元格,操作项单元格中可以包括触发该信息生产任务响应相关执行逻辑的操作控件,在响应对信息生产任务所对应加载操作控件的触发后,就可以执行该信息生产任务的信息生产逻辑,最终获得该信息生产任务对应的初始关键信息集。通过本实施例上述技术方案,只需要简单的进行信息生产任务的创建就能简单有效的生成该信息生产任务对应的关键信息集合,关键信息集合中包含了一定规模的关键信息。与现有技术相比,本技术方案提供了信息规模化生产的生产途径,能够简单高效的实现产品对象的关键信息规模化生成,更好地节省了产品对象关键信息生产阶段的人力及时间成本投入,也更好的提升了产品对象关键信息的生产效率。
进一步地,信息生产模块33具体可以包括:
聚簇处理单元,用于根据所述对象数据集中的对象数据结合预设的对象同类匹配模型,进行聚簇处理并获得所述信息生产任务对应的聚簇结果,所述聚簇结果中包括至少一个对象聚类簇,所述对象聚类簇中包括同簇对象数据,所述同簇对象数据为所述对象数据集中具备同一设定属性的对象数据;
信息生产单元,用于根据各所述对象聚类簇,生成所述信息生产任务对应的初始关键信息集。
进一步地,所述聚簇处理单元具体可以包括:
对象选定子单元,用于从所述对象数据集选定多个对象数据,分别作为用于同类匹配的基准对象数据;
同类匹配子单元,用于根据预设的对象同类匹配模型,从所述对象数据集中确定与各所述基准对象数据匹配的同类对象数据,形成多个包含基准对象数据及相应同类对象数据的同类对象数据集;
聚簇处理子单元,用于根据所述多个同类对象数据集,确定所述信息生产任务对应的聚簇结果。
进一步地,所述聚簇处理子单元具体可以用于:
对所述多个同类对象数据集两两进行对象重合度计算,在确定的对象重合度满足合并条件时进行相应两同类对象数据集的合并,获得新的同类对象数据集;
重复执行对象重合度的计算及同类对象数据集的合并操作,直至所获得同类对象数据集
的数量保持不变;
将重复操作结束后获得的每个同类对象数据集作为一个对象聚类簇,并相对所述信息生产任务构成包含各所述对象聚类簇的聚簇结果,其中,所述对象聚类簇中包含的同类对象数据记为同簇对象数据。
进一步地,所述信息生产单元具体可以用于:
针对构成所述聚簇结果的每个对象聚类簇,获取所述对象聚类簇中包含的同簇对象数据;
根据所述同簇对象数据中所包含各数据属性项的属性值,确定相应数据属性项的关键属性值;
基于各所述关键属性值构成所述对象聚类簇的初始关键信息,并基于各所述对象聚类簇的初始关键信息构成所述信息生产任务对应的初始关键信息集。
进一步地,该装置还可以包括:
第一筛选模块,用于访问预构建的关键信息数据库,将所述初始关键信息集中已存在于所述关键信息数据库的初始关键信息记为第一关键信息;
第一结果生成模块,用于基于筛除所述第一关键信息后剩余的初始关键信息,获得所述信息生产任务的第一关键信息集。
进一步地,该装置还可以包括:
第三响应模块,用于响应于对信息清洗控件的触发操作,生成包含所述第一关键信息集中关键信息的信息清洗列表,并将所述信息清洗列表提交至信息审核平台,所述信息清洗控件在获得所述第一关键信息集后呈现于所述任务创建条目的操作项单元格中;
第二结果生成模块,用于接收所述信息审核平台相对所述信息清洗列表反馈的已清洗信息列表,并基于所述已清洗信息列表中的信息清洗审核结果构成所述信息生产任务的第二关键信息集;
第四响应模块,用于响应于对信息质检控件的触发操作,生成包含所述第二关键信息集中信息清洗审核结果的信息质检列表,并将所述信息质检列表提交至所述信息审核平台,所述信息质检控件在接收到所述已清洗信息列表后呈现于所述操作项单元格中;
第三结果生成模块,用于接收所述信息审核平台相对所述信息质检列表反馈的已清洗质检列表,并基于所述已质检信息列表中的已质检关键信息构成所述信息生产任务的第三关键信息集。
进一步地,所述操作项单元格在获得所述第三关键信息集后呈现有数据入库控件,相应的,该装置还可以包括:
第二筛选模块,用于响应于对所述数据入库控件的触发操作,对所述第三关键信息集进行入库筛选;
标品入库模块,用于将已存在于所述关键信息数据库的关键信息记为第二关键信息,以
及将未存在于所述关键信息数据库的关键信息记为第三关键信息,并将所述第三关键信息添加至所述关键信息数据库中。
进一步地,该装置还可以包括:
标品确定模块,用于将确定的第一关键信息、第二关键信息和/或第三关键信息作为所述信息生产任务的有效关键信息,并将所述第一关键信息、第二关键信息和/或第三关键信息在所述聚类结果中对应的对象聚类簇分别记为有效对象聚类簇;
任务建立模块,用于如果所述信息生产任务在创建阶段进行了关联关系的执行配置,则生成所述信息生产任务的关联子任务,所述关联子任务用于将所述有效关键信息与相应有效对象聚类簇中的同簇对象数据建立关联关系。
进一步地,该装置还可以包括:
第五响应模块,用于响应于对所述关联子任务的执行触发操作,判定所述有效关键信息是否满足关联关系的免审建立条件。
第一执行模块,用于在满足关联关系的免审建立条件时,直接建立所述有效关键信息与相应有效对象聚类簇中同簇对象数据的关联关系,形成关联挂载信息;
第二执行模块,用于在不满足关联关系的免审建立条件时,对所述有效关键信息进行关联关系审核,并将所述有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系,形成关联挂载信息;
关联入库模块,用于将形成的关联挂载信息添加至关联挂载数据库中。
进一步地,所述免审建立条件包括:
所述有效关键信息对应的有效对象聚类簇中只包含一个同簇对象数据;或者,
检测到所述有效关键信息对应的有效对象聚类簇中同簇对象数据的同簇准确度达到设定准确阈值。
进一步地,所述第二执行模块具体可以用于:
生成所述有效关键信息的关联关系审核列表,所述关联关系审核列表中包括有效关键信息所对应有效对象聚类簇中的同簇对象数据;
将所述关联关系审核列表提交至所述信息审核平台,并接收所述信息审核平台相对所述关联关系审核列表反馈的关联关系审核结果,所述关联关系审核结果中包括所述有效关键信息与相应各同簇对象数据的审核结果;
将所述有效关键信息与审核结果为审核通过的同簇对象数据建立关联关系,形成关联挂载信息。
上述装置可执行本公开任意实施例所提供的方法,具备执行方法相应的功能模块和有益效果。
值得注意的是,上述装置所包括的各个单元和模块只是按照功能逻辑进行划分的,但并
不局限于上述的划分,只要能够实现相应的功能即可;另外,各功能单元的具体名称也只是为了便于相互区分,并不用于限制本公开实施例的保护范围。
图4为本公开实施例所提供的一种计算机设备的结构示意图。下面参考图4,其示出了适于用来实现本公开实施例的计算机设备(例如图4中的终端设备或服务器)40的结构示意图。本公开实施例中的终端设备可以包括但不限于诸如移动电话、笔记本电脑、数字广播接收器、PDA(个人数字助理)、PAD(平板电脑)、PMP(便携式多媒体播放器)、车载终端(例如车载导航终端)等等的移动终端以及诸如数字TV、台式计算机等等的固定终端。图4示出的计算机设备仅仅是一个示例,不应对本公开实施例的功能和使用范围带来任何限制。
如图4所示,计算机设备40可以包括处理装置(例如中央处理器、图形处理器等)41,其可以根据存储在只读存储器(ROM)42中的程序或者从存储装置48加载到随机访问存储器(RAM)43中的程序而执行各种适当的动作和处理。在RAM 43中,还存储有计算机设备40操作所需的各种程序和数据。处理装置41、ROM 42以及RAM 43通过总线45彼此相连。编辑/输出(I/O)接口44也连接至总线45。
通常,以下装置可以连接至I/O接口44:包括例如触摸屏、触摸板、键盘、鼠标、摄像头、麦克风、加速度计、陀螺仪等的输入装置46;包括例如液晶显示器(LCD)、扬声器、振动器等的输出装置47;包括例如磁带、硬盘等的存储装置48;以及通信装置49。通信装置49可以允许计算机设备40与其他设备进行无线或有线通信以交换数据。虽然图4示出了具有各种装置的计算机设备40,但是应理解的是,并不要求实施或具备所有示出的装置。可以替代地实施或具备更多或更少的装置。
特别地,根据本公开的实施例,上文参考流程图描述的过程可以被实现为计算机软件程序。例如,本公开的实施例包括一种计算机程序产品,其包括承载在非暂态计算机可读介质上的计算机程序,该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中,该计算机程序可以通过通信装置49从网络上被下载和安装,或者从存储装置48被安装,或者从ROM 42被安装。在该计算机程序被处理装置41执行时,执行本公开实施例的方法中限定的上述功能。
本公开实施方式中的多个装置之间所交互的消息或者信息的名称仅用于说明性的目的,而并不是用于对这些消息或信息的范围进行限制。
本公开实施例提供的计算机设备与上述实施例提供的对象的信息管理方法属于同一发明构思,未在本实施例中详尽描述的技术细节可参见上述实施例,并且本实施例与上述实施例具有相同的有益效果。
本公开实施例提供了一种计算机存储介质,其上存储有计算机程序,该程序被处理器执行时实现上述实施例所提供的对象的信息管理方法。
需要说明的是,本公开上述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件,或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于:具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
在本公开中,计算机可读存储介质可以是任何包含或存储程序的有形介质,该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本公开中,计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号,其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式,包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读信号介质还可以是计算机可读存储介质以外的任何计算机可读介质,该计算机可读信号介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输,包括但不限于:电线、光缆、RF(射频)等等,或者上述的任意合适的组合。
在一些实施方式中,客户端、服务器可以利用诸如HTTP(HyperText Transfer Protocol,超文本传输协议)之类的任何当前已知或未来研发的网络协议进行通信,并且可以与任意形式或介质的数字数据通信(例如,通信网络)互连。通信网络的示例包括局域网(“LAN”),广域网(“WAN”),网际网(例如,互联网)以及端对端网络(例如,ad hoc端对端网络),以及任何当前已知或未来研发的网络。
上述计算机可读介质可以是上述计算机设备中所包含的;也可以是单独存在,而未装配入该计算机设备中。
上述计算机可读介质承载有一个或者多个程序,当上述一个或者多个程序被该计算机设备执行时,使得该计算机设备:
可以以一种或多种程序设计语言或其组合来编写用于执行本公开的操作的计算机程序代码,上述程序设计语言包括但不限于面向对象的程序设计语言-诸如Java、Smalltalk、C++,还包括常规的过程式程序设计语言-诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中,远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)-连接到用户计算机,或者,可以连接到外部计算机(例如利用因特网服务提供商来
通过因特网连接)。
附图中的流程图和框图,图示了按照本公开各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上,流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分,该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意,在有些作为替换的实现中,方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如,两个接连地表示的方框实际上可以基本并行地执行,它们有时也可以按相反的顺序执行,这依所涉及的功能而定。也要注意的是,框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合,可以用执行规定的功能或操作的专用的基于硬件的系统来实现,或者可以用专用硬件与计算机指令的组合来实现。
描述于本公开实施例中所涉及到的单元可以通过软件的方式实现,也可以通过硬件的方式来实现。在一些实施例中,单元的名称在某种情况下并不构成对该单元本身的限定,例如,第一获取单元还可以被描述为“获取至少两个网际协议地址的单元”。
本文中以上描述的功能可以至少部分地由一个或多个硬件逻辑部件来执行。例如,非限制性地,可以使用的示范类型的硬件逻辑部件包括:现场可编程门阵列(FPGA)、专用集成电路(ASIC)、专用标准产品(ASSP)、片上系统(SOC)、复杂可编程逻辑设备(CPLD)等等。
在本公开的上下文中,机器可读介质可以是有形的介质,其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的程序。机器可读介质可以是机器可读信号介质或机器可读储存介质。机器可读介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的、或半导体系统、装置或设备,或者上述内容的任何合适组合。机器可读存储介质的更具体示例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或快闪存储器)、光纤、便捷式紧凑盘只读存储器(CD-ROM)、光学储存设备、磁储存设备、或上述内容的任何合适组合。
以上描述仅为本公开的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解,本公开中所涉及的公开范围,并不限于上述技术特征的特定组合而成的技术方案,同时也应涵盖在不脱离上述公开构思的情况下,由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本公开中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。
此外,虽然采用特定次序描绘了各操作,但是这不应当理解为要求这些操作以所示出的特定次序或以顺序次序执行来执行。在一定环境下,多任务和并行处理可能是有利的。同样地,虽然在上面论述中包含了如果干具体实现细节,但是这些不应当被解释为对本公开的范
围的限制。在单独的实施例的上下文中描述的某些特征还可以组合地实现在单个实施例中。相反地,在单个实施例的上下文中描述的各种特征也可以单独地或以任何合适的子组合的方式实现在多个实施例中。
尽管已经采用特定于结构特征和/或方法逻辑动作的语言描述了本主题,但是应当理解所附权利要求书中所限定的主题未必局限于上面描述的特定特征或动作。相反,上面所描述的特定特征和动作仅仅是实现权利要求书的示例形式。
Claims (15)
- 一种对象的信息管理方法,包括:响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集;对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
- 根据权利要求1所述的方法,其中所述对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集,包括:根据所述对象数据集中的对象数据结合预设的对象同类匹配模型,进行聚簇处理并获得所述信息生产任务对应的聚簇结果,所述聚簇结果中包括至少一个对象聚类簇,所述对象聚类簇中包括同簇对象数据,所述同簇对象数据为所述对象数据集中具备同一设定属性的对象数据;根据各所述对象聚类簇,生成所述信息生产任务对应的初始关键信息集。
- 根据权利要求2所述的方法,其中所述根据所述对象数据集中的对象数据结合预设的对象同类匹配模型,进行聚簇处理并获得所述信息生产任务对应的聚簇结果,包括:从所述对象数据集选定多个对象数据,分别作为用于同类匹配的基准对象数据;根据预设的对象同类匹配模型,从所述对象数据集中确定与各所述基准对象数据匹配的同类对象数据,形成多个包含基准对象数据及相应同类对象数据的同类对象数据集;根据所述多个同类对象数据集,确定所述信息生产任务对应的聚簇结果。
- 根据权利要求3所述的方法,其中所述根据所述多个同类对象数据集,确定所述信息生产任务对应的聚簇结果,包括:对所述多个同类对象数据集两两进行对象重合度计算,在确定的对象重合度满足合并条件时进行相应两同类对象数据集的合并,获得新的同类对象数据集;重复执行对象重合度的计算及同类对象数据集的合并操作,直至所获得同类对象数据集的数量保持不变;将重复操作结束后获得的每个同类对象数据集作为一个对象聚类簇,并相对所述信息生产任务构成包含各所述对象聚类簇的聚簇结果,其中,所述对象聚类簇中包含的同类对象数据记为同簇对象数据。
- 根据权利要求2所述的方法,其中所述根据各所述对象聚类簇,生成所述信息生产任务对应的初始关键信息集,包括:针对构成所述聚簇结果的每个对象聚类簇,获取所述对象聚类簇中包含的同簇对象数据;根据所述同簇对象数据中所包含各数据属性项的属性值,确定相应数据属性项的关键属性值;基于各所述关键属性值构成所述对象聚类簇的初始关键信息,并基于各所述对象聚类簇的初始关键信息构成所述信息生产任务对应的初始关键信息集。
- 根据权利要求1所述的方法,所述方法还包括:访问预构建的关键信息数据库,将所述初始关键信息集中已存在于所述关键信息数据库的初始关键信息记为第一关键信息;基于筛除所述第一关键信息后剩余的初始关键信息,获得所述信息生产任务的第一关键信息集。
- 根据权利要求6所述的方法,所述方法还包括:响应于对信息清洗控件的触发操作,生成包含所述第一关键信息集中关键信息的信息清洗列表,并将所述信息清洗列表提交至信息审核平台,所述信息清洗控件在获得所述第一关键信息集后呈现于所述任务创建条目的操作项单元格中;接收所述信息审核平台相对所述信息清洗列表反馈的已清洗信息列表,并基于所述已清洗信息列表中的信息清洗审核结果构成所述信息生产任务的第二关键信息集;响应于对信息质检控件的触发操作,生成包含所述第二关键信息集中信息清洗审核结果的信息质检列表,并将所述信息质检列表提交至所述信息审核平台,所述信息质检控件在接收到所述已清洗信息列表后呈现于所述操作项单元格中;接收所述信息审核平台相对所述信息质检列表反馈的已清洗质检列表,并基于所述已质检信息列表中的已质检关键信息构成所述信息生产任务的第三关键信息集。
- 根据权利要求7所述的方法,其中所述操作项单元格在获得所述第三关键信息集后呈现有数据入库控件,所述方法还包括:响应于对所述数据入库控件的触发操作,对所述第三关键信息集进行入库筛选;将已存在于所述关键信息数据库的关键信息记为第二关键信息,以及将未存在于所述关键信息数据库的关键信息记为第三关键信息,并将所述第三关键信息添加至所述关键信息数据库中。
- 根据权利要求8所述的方法,所述方法还包括:将确定的第一关键信息、第二关键信息和/或第三关键信息作为所述信息生产任务的有效关键信息,并将所述第一关键信息、第二关键信息和/或第三关键信息在所述聚类结果中对应的对象聚类簇分别记为有效对象聚类簇;如果所述信息生产任务在创建阶段进行了关联关系的执行配置,则生成所述信息生产任务的关联子任务,所述关联子任务用于将所述有效关键信息与相应有效对象聚类簇中的同簇对象数据建立关联关系。
- 根据权利要求9所述的方法,所述方法还包括:响应于对所述关联子任务的执行触发操作,判定所述有效关键信息是否满足关联关系的免审建立条件;若是,则直接建立所述有效关键信息与相应有效对象聚类簇中同簇对象数据的关联关系,形成关联挂载信息;若否,则对所述有效关键信息进行关联关系审核,并将所述有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系,形成关联挂载信息;将形成的关联挂载信息添加至关联挂载数据库中。
- 根据权利要求10所述的方法,其中所述免审建立条件包括:所述有效关键信息对应的有效对象聚类簇中只包含一个同簇对象数据;或者,检测到所述有效关键信息对应的有效对象聚类簇中同簇对象数据的同簇准确度达到设定准确阈值。
- 根据权利要求10所述的方法,其中所述对所述有效关键信息进行关联关系审核,并将所述有效关键信息与相应有效对象聚类簇中满足审核条件的同簇对象数据建立关联关系,形成关联挂载信息,包括:生成所述有效关键信息的关联关系审核列表,所述关联关系审核列表中包括有效关键信息所对应有效对象聚类簇中的同簇对象数据;将所述关联关系审核列表提交至所述信息审核平台,并接收所述信息审核平台相对所述关联关系审核列表反馈的关联关系审核结果,所述关联关系审核 结果中包括所述有效关键信息与相应各同簇对象数据的审核结果;将所述有效关键信息与审核结果为审核通过的同簇对象数据建立关联关系,形成关联挂载信息。
- 一种对象的信息管理装置,包括:第一响应模块,用于响应于所创建信息生产任务的创建提交请求,在任务列表展示界面中展示所述信息生产任务的任务创建条目,所述任务创建条目包括的操作项单元格中包含用于任务数据加载的加载操作控件;第二响应模块,用于响应于对所述加载操作控件的触发操作,根据所述信息生产任务对应的数据来源信息加载相关的对象数据集;信息生产模块,用于对所述对象数据集中对象数据进行聚簇处理,并根据聚簇处理的聚簇结果,生成所述信息生产任务对应的初始关键信息集。
- 一种计算机设备,所述计算机设备包括:一个或多个处理器;存储装置,用于存储一个或多个程序,当所述一个或多个程序被所述一个或多个处理器执行,使得所述一个或多个处理器实现如权利要求1-12中任一所述的对象的信息管理方法。
- 一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如权利要求1-12中任一所述的对象的信息管理方法。
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