To-do generation method and device, electronic equipment, storage medium and program product

Abstract

The invention relates to a to-do generation method and device, electronic equipment, a storage medium and a program product. The to-do generation efficiency can be improved. The method comprises the steps that a target interaction page is displayed, the target interaction page is used for creating backlogs, and members of the target interaction page comprise an intelligent robot and a user; in response to a trigger operation of a user, displaying a search instruction of a target document on the target interaction page; displaying receipt information of the target receipt replied by the intelligent robot on the target interaction page, wherein the target receipt is searched by the intelligent robot based on the search instruction; and in response to a triggering operation of confirming the receipt information by the user, generating a target to-do list based on the receipt information.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, an electronic device, a storage medium, and a program product for generating to-do items. Background Art

[0002] In existing business scenarios, operators need to follow up a large number of in-transit orders and are responsible for entering follow-up or to-do information for each link of the transaction into an online system. This process is not only time-consuming and laborious, but also prone to inaccurate or missing data due to human errors, affecting operation efficiency and business accuracy. Summary of the Invention

[0003] To solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, an apparatus, an electronic device, a storage medium, and a program product for generating to-do items.

[0004] In a first aspect of an embodiment of the present disclosure, a method for generating to-do items is provided. The method includes: displaying a target interaction page for creating to-do items, where members of the target interaction page include an intelligent robot and a user; in response to a trigger operation of the user, displaying a search instruction for a target document on the target interaction page; displaying document information of the target document replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the search instruction; and in response to a trigger operation of the user confirming the document information, generating a target to-do item based on the document information.

[0005] In some embodiments of the present disclosure, displaying the document information of the target document replied by the intelligent robot on the target interaction page includes: when the intelligent robot searches for one document based on the search instruction, displaying the document information replied by the intelligent robot on the target interaction page; when the intelligent robot searches for multiple documents based on the search instruction, displaying identifiers of the multiple documents replied by the intelligent robot on the target interaction page; and in response to a trigger operation of the user selecting an identifier of the target document from the identifiers of the multiple documents, displaying the document information replied by the intelligent robot on the target interaction page.

[0006] In some embodiments of the present disclosure, after presenting a search instruction for a target document on the target interaction page in response to a user's trigger operation, the method further includes: determining whether the search instruction includes all elements required by the search criteria; presenting the document information of the target document replied by the intelligent robot on the target interaction page, including: presenting the document information replied by the intelligent robot on the target interaction page when it is determined that the search instruction includes all elements required by the search criteria; or, presenting a first inquiry statement replied by the intelligent robot on the target interaction page when it is determined that the search instruction includes some elements required by the search criteria, where the first inquiry statement is used to inquire the user about the target elements required by the search criteria, and the target elements are the elements not included in the search instruction; in response to a trigger operation of the target elements input by the user, presenting the document information replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the search instruction and the target elements.

[0007] In some embodiments of the present disclosure, before presenting the document information of the target document replied by the intelligent robot on the target interaction page, the method further includes: extracting the structured information included in the search instruction; determining whether the structured information conforms to the first business rule; presenting the document information of the target document replied by the intelligent robot on the target interaction page, including: presenting the document information replied by the intelligent robot on the target interaction page when it is determined that the structured information conforms to the first business rule; presenting a second inquiry statement replied by the intelligent robot on the target interaction page when it is determined that the structured information does not conform to the first business rule, where the second inquiry statement is used to indicate that the target information in the structured information does not conform to the first business rule; in response to a trigger operation for the user to correct the target information, presenting the document information replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the corrected structured information, and the corrected structured information is obtained by correcting the structured information based on the corrected target information.

[0008] In some embodiments of the present disclosure, the document information is displayed in the form of an interactive card. Before generating a target to-do item based on the document information in response to a trigger operation for the user to confirm the document information, the method further includes: in response to an editing operation of the user on the first data in the document information, presenting the updated document information on the target interaction page; generating a target to-do item based on the document information in response to a trigger operation for the user to confirm the document information, including: generating the target to-do item based on the updated document information in response to a trigger operation for the user to confirm the document information.

[0009] In some embodiments of the present disclosure, in response to a triggering operation for the user to confirm the document information, generating a target to-do item based on the document information includes: in response to the triggering operation for the user to confirm the document information, extracting context parameter data in the document information; determining whether the context parameter data conforms to a second business rule; in the case where it is determined that the context parameter data conforms to the second business rule, generating the target to-do item based on the context parameter data; in the case where it is determined that the context parameter data does not conform to the second business rule, displaying a third inquiry statement replied by the intelligent robot on the target interaction page, where the third inquiry statement is used to indicate that the second data in the context parameter data does not conform to the second business rule; in response to a triggering operation for the user to correct the second data, generating the target to-do item based on the corrected context parameter data, where the corrected context parameter data is obtained by correcting the context parameter data based on the corrected second data.

[0010] In some embodiments of the present disclosure, before determining whether the context parameter data conforms to the second business rule, the method further includes: displaying the context parameter data replied by the intelligent robot on the target interaction page; in response to a triggering operation for the user to correct the second data, generating the target to-do item based on the corrected context parameter data includes: in response to the triggering operation for the user to correct the second data, displaying the corrected context parameter data replied by the intelligent robot on the target interaction page; generating the target to-do item based on the corrected context parameter data.

[0011] In a second aspect of the embodiments of the present disclosure, there is provided a to-do item generation device, where the device includes: a display module, configured to display a target interaction page for creating a to-do item, where members of the target interaction page include an intelligent robot and a user; in response to a triggering operation of the user, displaying a search instruction for a target document on the target interaction page; displaying the document information of the target document replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the search instruction; a generation module, configured to generate a target to-do item based on the document information in response to a triggering operation for the user to confirm the document information.

[0012] In some embodiments of the present disclosure, the display module is specifically configured to, in the case where the intelligent robot searches for one document based on the search instruction, display the document information replied by the intelligent robot on the target interaction page; in the case where the intelligent robot searches for multiple documents based on the search instruction, display the identifiers of the multiple documents replied by the intelligent robot on the target interaction page; in response to a triggering operation for the user to select the identifier of the target document from the identifiers of the multiple documents, display the document information replied by the intelligent robot on the target interaction page.

[0013] In some embodiments of the present disclosure, the device further includes: a determination module, configured to determine whether the search instruction includes all elements required by the search condition after presenting a search instruction for a target document on the target interaction page in response to a trigger operation of a user; the presentation module is specifically configured to present the document information replied by the intelligent robot on the target interaction page when it is determined that the search instruction includes all elements required by the search condition; or, when it is determined that the search instruction includes some elements required by the search condition, present a first query statement replied by the intelligent robot on the target interaction page, where the first query statement is used to query the user for a target element required by the search condition, and the target element is an element not included in the search instruction; in response to a trigger operation of the target element input by the user, present the document information replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the search instruction and the target element.

[0014] In some embodiments of the present disclosure, the device further includes: an extraction module and a determination module; the extraction module is configured to extract structured information included in the search instruction before presenting the document information of the target document replied by the intelligent robot on the target interaction page; the determination module is configured to determine whether the structured information conforms to a first business rule; the presentation module is specifically configured to present the document information replied by the intelligent robot on the target interaction page when it is determined that the structured information conforms to the first business rule; when it is determined that the structured information does not conform to the first business rule, present a second query statement replied by the intelligent robot on the target interaction page, where the second query statement is used to indicate that the target information in the structured information does not conform to the first business rule; in response to a trigger operation of the user to correct the target information, present the document information replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the corrected structured information, and the corrected structured information is obtained by correcting the structured information based on the corrected target information.

[0015] In some embodiments of the present disclosure, the document information is displayed in the form of an interactive card, and the presentation module is further configured to present updated document information on the target interaction page in response to an edit operation of a user on the first data in the document information before generating a target to-do item based on the document information in response to a trigger operation of the user to confirm the document information; the generation module is specifically configured to generate the target to-do item based on the updated document information in response to a trigger operation of the user to confirm the document information.

[0016] In some embodiments of the present disclosure, the generation module is specifically configured to, in response to a trigger operation for the user to confirm the document information, extract the context parameter data in the document information; determine whether the context parameter data conforms to the second business rule; in the case where it is determined that the context parameter data conforms to the second business rule, generate the target to-do item based on the context parameter data; in the case where it is determined that the context parameter data does not conform to the second business rule, display, on the target interaction page, a third inquiry statement replied by the intelligent robot, where the third inquiry statement is used to indicate that the second data in the context parameter data does not conform to the second business rule; and in response to a trigger operation for the user to correct the second data, generate the target to-do item based on the corrected context parameter data, where the corrected context parameter data is obtained by correcting the context parameter data based on the corrected second data.

[0017] In some embodiments of the present disclosure, the generation module is specifically configured to, before determining whether the context parameter data conforms to the second business rule, display the context parameter data replied by the intelligent robot on the target interaction page; in response to a trigger operation for the user to correct the second data, display the corrected context parameter data replied by the intelligent robot on the target interaction page; and generate the target to-do item based on the corrected context parameter data.

[0018] In a third aspect of the embodiments of the present disclosure, there is provided an electronic device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the to-do item generation method described in the first aspect is implemented.

[0019] In a fourth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the to-do item generation method described in the first aspect is implemented.

[0020] In a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product, where the computer program product includes a computer program. When the computer program product runs on a processor, the processor is caused to execute the computer program to implement the to-do item generation method described in the first aspect.

[0021] In a sixth aspect of the embodiments of the present disclosure, there is provided a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is used to run program instructions to implement the to-do item generation method described in the first aspect.

[0022] The technical solutions provided by the embodiments of the present disclosure have the following advantages compared with the prior art: By presenting a target interaction page for creating a to-do item, the members of the target interaction page include an intelligent robot and a user; in response to a triggering operation of the user, a search instruction for a target document is presented on the target interaction page; the document information of the target document replied by the intelligent robot is presented on the target interaction page, and the target document is searched by the intelligent robot based on the search instruction; in response to a triggering operation for the user to confirm the document information, a target to-do item is generated based on the document information. In this way, when the operator needs to follow up a large number of in-transit orders, the to-do items for each link of the transaction can be quickly generated through a conversation with the intelligent robot, without the user spending time and effort entering the information corresponding to the to-do items, saving the operation process, and avoiding inaccurate or missing data entry caused by human errors, which can improve the operation efficiency and business accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1 One of the flow diagrams of the to-do item generation method provided by the embodiments of the present disclosure;

[0026] Figure 2 Another flow diagram of the to-do item generation method provided by the embodiments of the present disclosure;

[0027] Figure 3 An interface diagram of a to-do item generation method provided by the embodiments of the present disclosure;

[0028] Figure 4 A structural block diagram of a to-do item generation device provided by the embodiments of the present disclosure;

[0029] Figure 5 A structural block diagram of an electronic device provided by the embodiments of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] In order to better understand the above objects, features, and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0031] In the following description, many specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all the embodiments.

[0032] The terms "first", "second", etc. in the specification and claims of the present disclosure are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / ", generally represents an "or" relationship between the associated objects before and after.

[0033] The electronic device in the embodiments of the present disclosure may be a mobile electronic device or a non-mobile electronic device. The mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc.; the non-mobile electronic device may be a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc.; the embodiments of the present disclosure do not make specific limitations.

[0034] The execution subject of the to-do item generation method provided by the embodiments of the present disclosure may be the above-mentioned electronic device (including mobile electronic devices and non-mobile electronic devices), or a functional module and / or functional entity in the electronic device that can implement the to-do item generation method, and specifically can be determined according to actual usage requirements, and the embodiments of the present disclosure do not make limitations.

[0035] Next, with reference to the accompanying drawings, through specific embodiments and their application scenarios, the to-do item generation method provided by the embodiments of the present disclosure will be described in detail.

[0036] As Figure 1 shown, the embodiments of the present disclosure provide a to-do item generation method, which may include the following steps 101 to 104.

[0037] 101. Display a target interaction page.

[0038] Among them, the target interaction page is used to create a to-do item, and the members of the target interaction page include an intelligent robot and a user.

[0039] Among them, the target interaction page can be a session interface in any instant social application, which can be specifically determined according to the actual situation and is not limited here.

[0040] Among them, the instant social application can be an application for following up each link of the in-transit order transaction or entering the follow-up or to-do information into the online system, or a social application associated with following up each link of the in-transit order transaction or entering the follow-up or to-do information into the online system, which is not limited here.

[0041] Among them, the to-do item can be a prompt item corresponding to the follow-up of each link of the in-transit order transaction or the to-do information.

[0042] In some embodiments of the present disclosure, the intelligent robot is a software development kit (SDK) that is displayed in the session interface in the form of a robot and integrates the ability to generate to-do items.

[0043] In some embodiments of the present disclosure, the SDK can be installed in the background server of the instant social application or in other servers associated with the background server of the instant social application, which can be specifically determined according to the actual situation and is not limited here.

[0044] 102. In response to the user's trigger operation, display a search instruction for the target document in the target interaction page.

[0045] Among them, the search instruction is usually a natural language or a statement in a specific format input by the user into the target interaction page, aiming to obtain specific information.

[0046] Among them, the search instruction can be a statement in text form input by the user or a statement in voice form input by the user, which is not limited here.

[0047] 103. Display the document information of the target document replied by the intelligent robot in the target interaction page.

[0048] Among them, the target document is searched by the intelligent robot based on the search instruction.

[0049] It can be understood that the intelligent robot can search for the target document from the document database through a large model or through a search algorithm, which is not limited here.

[0050] The document database is used to store the corresponding relationships between the document information of a large number of documents and the search indexes respectively, which is not limited here. The target search index corresponding to the document information of the target document can be determined based on the search instruction, and then the target document can be searched from the document database based on the target search index.

[0051] In some embodiments of the present disclosure, the target document can be searched by the intelligent robot according to the search instruction, or can be searched by the intelligent robot according to the search instruction and other information, or can be searched by the intelligent robot according to other information related to the search instruction, which is not limited here.

[0052] 104. In response to the user's triggering operation to confirm the document information, generate a target to-do item based on the document information.

[0053] Among them, the target to-do item is used to prompt the user to handle the target to-do item after a preset duration.

[0054] In some embodiments of the present disclosure, after generating the target to-do item, a prompt message indicating that the target to-do item has been generated can be displayed.

[0055] In the embodiments of the present disclosure, by displaying a target interaction page, the target interaction page is used to create a to-do item, and the members of the target interaction page include an intelligent robot and a user; in response to the user's triggering operation, display a search instruction for the target document on the target interaction page; display the document information of the target document replied by the intelligent robot on the target interaction page, and the target document is searched by the intelligent robot based on the search instruction; in response to the user's triggering operation to confirm the document information, generate a target to-do item based on the document information. In this way, when the operator needs to follow up a large number of in-transit orders, the to-do items for each link of the transaction can be quickly generated through the conversation with the intelligent robot, without the user spending time and effort entering the information corresponding to the to-do items, saving the operation process, and can avoid inaccurate or missing data entry caused by human errors, and can improve the operation efficiency and business accuracy.

[0056] In some embodiments of the present disclosure, in combination with Figure 1 , such as Figure 2 shown, the above step 103 can be specifically implemented by the following steps 103a to 103c.

[0057] 103a. When the intelligent robot searches for a document based on the search instruction, display the document information replied by the intelligent robot on the target interaction page.

[0058] It can be understood that when the intelligent robot only searches for one document, then this one document is the document that best matches the search instruction, that is, the target document, and the intelligent robot displays this one document to the user through the target interaction page.

[0059] 103b. When the intelligent robot searches for multiple documents based on the search instruction, display the identifiers of the multiple documents replied by the intelligent robot on the target interaction page.

[0060] Among them, the identifier of a document can be some data included in the document, which can be specifically determined according to the actual situation and is not limited here. The identifiers of different documents are used to indicate different documents.

[0061] Exemplarily, the identifier of a document can include at least one of the following: transaction number, seller user, buyer user, broker, address of the trading object, and can also include other data, which is not limited here.

[0062] It can be understood that when the intelligent robot only searches for multiple documents.

[0063] 103c. In response to a trigger operation in which the user selects the identifier of the target document from the identifiers of the multiple documents, display the document information replied by the intelligent robot on the target interaction page.

[0064] Among them, the identifier of the target document is used to indicate the target document.

[0065] In the embodiments of the present disclosure, when the intelligent robot searches for multiple documents, displaying the identifiers of the multiple documents on the target interaction page can facilitate the user to quickly determine the target document from the multiple documents.

[0066] Among them, the multiple documents are the documents that best match the search instruction obtained by the intelligent robot during the search.

[0067] In some embodiments of the present disclosure, when the target document is not included in the documents searched by the intelligent robot, the user can also add search information on the target interaction page to re-search for the target document.

[0068] In some embodiments of the present disclosure, after the above step 102, the method for generating a to-do item provided by the embodiments of the present disclosure may further include the following step 105, and the above step 103 may be specifically implemented by the following steps 103d to 103f.

[0069] 105. Determine whether the search instruction includes all the elements required by the search condition.

[0070] Among them, the search conditions are related to the search index in the document database. All elements required by the search conditions include all or part of the key information in the search index, which is not limited here.

[0071] Among them, all elements required by the search conditions are all dimensions required for the search, and one element represents one dimension. The search conditions can be pre-set search specifications. The search can be executed only when the search instruction meets the search specifications, and the most matching document can be obtained, which can improve the search efficiency and search accuracy.

[0072] In some embodiments of the present disclosure, a multi-level verification mechanism can be used to determine whether the search instruction includes all elements required by the search conditions, thereby ensuring the accuracy of the search instruction.

[0073] 103d. When it is determined that the search instruction includes all elements required by the search conditions, display the document information replied by the intelligent robot on the target interaction page.

[0074] 103e. When it is determined that the search instruction includes some elements required by the search conditions, display the first inquiry statement replied by the intelligent robot on the target interaction page.

[0075] Among them, the first inquiry statement is used to ask the user for the target elements required by the search conditions, and the target elements are the elements not included in the search instruction.

[0076] Among them, the target elements can include one or more elements required by the search conditions, which is not limited here.

[0077] Among them, the first inquiry statement can be specifically determined according to the actual situation, which is not limited here.

[0078] 103f. In response to the trigger operation of the target element input by the user, display the document information replied by the intelligent robot on the target interaction page.

[0079] Among them, the target document is searched by the intelligent robot based on the search instruction and the target element.

[0080] In some embodiments of the present disclosure, when it is determined that the search instruction and the target element include all elements required by the search conditions, display the document information replied by the intelligent robot on the target interaction page.

[0081] In the embodiments of the present disclosure, when it is determined that the search instruction includes all elements required by the search conditions, the search can be executed. When it is determined that the search instruction does not include all elements required by the search conditions, all elements required by the search conditions can be completed in the form of a dialogue, and then the search is executed. In this way, the search conditions can be quickly determined, and then the target document can be quickly and accurately searched.

[0082] In some embodiments of the present disclosure, in combination with Figure 1 , as Figure 2 shown, before the above step 103, the to-do item generation method provided by the embodiments of the present disclosure may further include the following steps 106 and 107, and the above step 103 may be specifically implemented by the following steps 103g to 103i.

[0083] 106. Extract the structured information included in the search instruction.

[0084] Among them, extracting structured information from the search instruction is to transform these relatively free and flexible search instructions into a data form with a clear structure, which is convenient for computer systems to understand and further process, and generally includes key entities, attributes, relationships, and limiting conditions and other elements.

[0085] Exemplarily, the search instruction is "5 pm tomorrow, Happy Road, offline tax payment, seller Yang xx". The structured extraction process is to identify the entity "seller Yang xx", extract the attributes and limiting conditions. The attribute is "offline tax payment", and the limiting conditions are "5 pm tomorrow, Happy Road", indicating that the user needs to set a to-do item for offline tax payment for the documents of seller Yang xx.

[0086] In some embodiments of the present disclosure, the intelligent robot can use natural language processing (NLP) technology through a large model to ensure the accuracy and integrity of the extracted structured information.

[0087] 107. Determine whether the structured information conforms to the first business rule.

[0088] Among them, the first business rule refers to a series of principles, norms, requirements, and limiting conditions that the structured information follows, which are used to ensure the smoothness of the business process, the accuracy of data, and the reasonableness of decisions, etc. The first business rule may include principles, norms, requirements, and limiting conditions in aspects such as data, process, and logical relationships.

[0089] Among them, in terms of data: it includes rules such as the data format, value range, and association relationship between data. For example, the data format of the commodity price should be a numerical type, and the value range should conform to the actual market situation and cannot be negative.

[0090] Among them, in terms of process: it stipulates the sequence of business operations, the approval requirements for each link, etc. Taking the order processing process as an example, generally, it is necessary to follow the sequence of placing an order, payment, warehouse picking, and logistics delivery. There may be corresponding approval conditions for each link, such as orders exceeding a certain amount need to be approved by the supervisor, etc.

[0091] Among them, in terms of logical relationships: the logical constraints between different business elements are clarified. For example, in the insurance business, there are specific logical associations between the age of the applicant, the insurance types that can be insured, and the insurance rates. If the age exceeds a certain range, it may be impossible to insure certain insurance types, or the insurance rates will increase accordingly.

[0092] In some embodiments of the present disclosure, the intelligent robot can determine whether the structured information conforms to the first business rule through a large model, or can determine whether the structured information conforms to the first business rule through a matching algorithm, which is not limited herein.

[0093] In some embodiments of the present disclosure, the intelligent robot can ensure the accuracy of business rule judgment through the combination of a rule engine and a machine learning model.

[0094] 103g. When it is determined that the structured information conforms to the first business rule, display the document information replied by the intelligent robot on the target interaction page.

[0095] 103h. When it is determined that the structured information does not conform to the first business rule, display the second inquiry statement replied by the intelligent robot on the target interaction page.

[0096] Among them, the second inquiry statement is used to indicate that the target information in the structured information does not conform to the first business rule.

[0097] Among them, the second inquiry statement can be specifically determined according to the actual situation, which is not limited herein.

[0098] 103i. In response to the trigger operation for the user to correct the target information, display the document information replied by the intelligent robot on the target interaction page.

[0099] Among them, the target document is searched by the intelligent robot based on the corrected structured information, and the corrected structured information is obtained by correcting the structured information based on the corrected target information.

[0100] In some embodiments of the present disclosure, when it is verified that the corrected structured information conforms to the first business rule, display the document information replied by the intelligent robot on the target interaction page.

[0101] In some embodiments of the present disclosure, after determining that the search instruction includes all the elements required by the search conditions, or after responding to the trigger operation of the target element input by the user, perform the above steps 106 and 107, and steps 103g to 103i.

[0102] In the embodiments of the present disclosure, by verifying whether the structured information conforms to the first business specification, the search index can be accurately determined, and then the target document can be quickly searched.

[0103] In some embodiments of the present disclosure, the document information is displayed in the form of an interactive card. Before step 104 above, the method for generating a to-do item provided by the embodiments of the present disclosure may further include the following steps 108 and 107, and step 104 above may be specifically implemented through the following step 104a.

[0104] 108. In response to an editing operation by the user on the first data in the document information, display the updated document information on the target interaction page.

[0105] Wherein, the first data may be one or more data in the document information, which is not limited herein.

[0106] In the embodiments of the present disclosure, by displaying the document information in the form of an interactive card, the user can directly perform editing operations such as correcting the first data, deleting the first data, and adding the first data on the interactive card for the document information, and can also perform a confirmation operation (used to confirm the triggering operation of the document information), which is not limited herein.

[0107] 104a. In response to the triggering operation by the user to confirm the document information, generate the target to-do item based on the updated document information.

[0108] In the embodiments of the present disclosure, by providing the user with the ability to edit the document information, the accuracy of the document information can be improved, and the accuracy of the target to-do item can be improved.

[0109] In some embodiments of the present disclosure, step 104 above may be specifically implemented through the following steps 104b to 104f.

[0110] 104b. In response to the triggering operation by the user to confirm the document information, extract the context parameter data in the document information.

[0111] Wherein, the context parameter data is the corresponding relationship between the parameters and parameter values included in the document information.

[0112] 104c. Determine whether the context parameter data conforms to the second business rule.

[0113] The second business rule refers to a series of principles, norms, requirements, and limiting conditions that the context parameter data follows, which are used to ensure the smoothness of the business process, the accuracy of the data, and the reasonableness of the decision-making, etc. The second business rule may include principles, norms, requirements, and limiting conditions in aspects such as data, process, and logical relationship, which are not limited herein.

[0114] In some embodiments of the present disclosure, it may be that the modification of the document information by the user results in the context parameter data not conforming to the second business rule, or it may be that there is a problem with the document information stored in the database itself, resulting in the context parameter data not conforming to the second business rule, which is not limited herein.

[0115] 104d. When it is determined that the context parameter data conforms to the second business rule, generate the target to-do item based on the context parameter data.

[0116] 104e. When it is determined that the context parameter data does not conform to the second business rule, display the third inquiry statement replied by the intelligent robot on the target interaction page.

[0117] Among them, the third inquiry statement is used to indicate that the second data in the context parameter data does not conform to the second business rule.

[0118] Among them, the second data may be one or more data in the context parameter data that do not conform to the second business rule.

[0119] 104f. In response to the trigger operation for the user to correct the second data, generate the target to-do item based on the corrected context parameter data.

[0120] Among them, the corrected context parameter data is obtained by correcting the context parameter data based on the corrected second data.

[0121] In the embodiments of the present disclosure, by determining whether the context parameter data conforms to the second business rule, it is possible to further verify the accuracy of the document information, and when it is inaccurate, the document information can be quickly and timely corrected through the dialogue between the user and the intelligent robot, which can improve the accuracy and generation efficiency of the target to-do item.

[0122] In some embodiments of the present disclosure, before the above step 104c, the above step 104 provided by the embodiments of the present disclosure may further include the following step 104g, and the above step 104f may be specifically implemented by the following step 104f1 and step 104f2.

[0123] 104g. Display the context parameter data replied by the intelligent robot on the target interaction page.

[0124] 104f1. In response to the trigger operation for the user to correct the second data, display the corrected context parameter data replied by the intelligent robot on the target interaction page.

[0125] 104f2. Generate the target to-do item based on the corrected context parameter data.

[0126] In the embodiments of the present disclosure, by presenting the context parameter data on the target interaction page before and after modifying the context parameter data, it is convenient for users to compare the context parameter data before and after modification, thereby determining the accuracy of the document information and improving the accuracy and generation efficiency of the target to-do item.

[0127] In the embodiments of the present disclosure, the system designs an intuitive and easy-to-use feedback interface that is strongly related to the business scenario, allowing operators to view the semantic recognition results and the effects of automated processing of the intelligent robot at any time. This interface clearly displays information such as recognition results, processing results, and possible error prompts based on user input and context information, facilitating operators to quickly understand and timely modify feedback issues.

[0128] Exemplarily, as Figure 3 shown, it is a schematic diagram of an interface for a process in which a user and an intelligent robot generate a target to-do item quickly through a conversation. Among them, the search instruction is "Pay taxes offline at 5 pm tomorrow on Kaixin Road", the target element is "task subject", the first inquiry statement is "Please enter your task subject, such as 'Zhang San', 'Li Si', etc.?", the target element input by the user is "Seller Yang xx", the document information is the interactive card in the figure, and the third inquiry statement is "Your input is inconsistent with the existing transfer method in the transaction order: old process. Please re-enter!".

[0129] In the embodiments of the present disclosure, the introduction of the user feedback and self-optimization mechanism enables the intelligent robot to continuously iterate and improve accuracy. The present invention provides a user feedback mechanism that allows operators to view and feedback the semantic recognition results and the effects of automated processing of the intelligent robot. Based on user feedback, the present invention can continuously optimize the semantic recognition algorithm and correct intentions, improving the accuracy and reliability of the system. Furthermore, it enhances the adaptive ability and result accuracy of the system. By adding an interactive human correction feedback logic, the accuracy of the entire intelligent robot reasoning result is ensured through the cooperation of humans and artificial intelligence.

[0130] In some embodiments of the present disclosure, the intelligent robot may include a dialogue state tracking module and an intention correction module. The main task of the dialogue state tracking module is to maintain the state of multi-round conversations, ensuring that the system can accurately understand and remember the intentions, requirements, and data information of the user in different rounds. The intention correction module aims to dynamically adjust and optimize the execution link of the system according to the user's feedback and the current dialogue state to ensure more accurately meeting the user's needs.

[0131] Figure 4 It is a structural block diagram of a to-do item generation device shown in the embodiments of the present disclosure, as Figure 4As shown in the figure, it includes: a display module 401, which is used to display a target interaction page for creating a to-do item. The members of the target interaction page include an intelligent robot and a user. In response to the user's trigger operation, a search instruction for a target document is displayed on the target interaction page. The document information of the target document replied by the intelligent robot is displayed on the target interaction page, and the target document is searched by the intelligent robot based on the search instruction. A generation module 402 is used to generate a target to-do item based on the document information in response to the trigger operation of the user confirming the document information.

[0132] In some embodiments of the present disclosure, the display module 401 is specifically configured to display the document information replied by the intelligent robot on the target interaction page when the intelligent robot searches for a single document based on the search instruction. When the intelligent robot searches for multiple documents based on the search instruction, the identifiers of the multiple documents replied by the intelligent robot are displayed on the target interaction page. In response to the trigger operation of the user selecting the identifier of the target document from the identifiers of the multiple documents, the document information replied by the intelligent robot is displayed on the target interaction page.

[0133] In some embodiments of the present disclosure, the device further includes: a determination module, which is used to determine whether the search instruction includes all the elements required by the search condition after displaying the search instruction for the target document on the target interaction page in response to the user's trigger operation. The display module 401 is specifically configured to display the document information replied by the intelligent robot on the target interaction page when it is determined that the search instruction includes all the elements required by the search condition. Or, when it is determined that the search instruction includes only some of the elements required by the search condition, a first inquiry statement replied by the intelligent robot is displayed on the target interaction page. The first inquiry statement is used to ask the user for the target element required by the search condition, and the target element is the element not included in the search instruction. In response to the trigger operation of the user inputting the target element, the document information replied by the intelligent robot is displayed on the target interaction page, and the target document is searched by the intelligent robot based on the search instruction and the target element.

[0134] In some embodiments of the present disclosure, the apparatus further includes: an extraction module and a determination module; the extraction module is configured to extract the structured information included in the search instruction before the document information of the target document replied by the intelligent robot is displayed on the target interaction page; the determination module is configured to determine whether the structured information conforms to the first business rule; the display module 401 is specifically configured to, when it is determined that the structured information conforms to the first business rule, display the document information replied by the intelligent robot on the target interaction page; when it is determined that the structured information does not conform to the first business rule, display a second inquiry statement replied by the intelligent robot on the target interaction page, where the second inquiry statement is used to indicate that the target information in the structured information does not conform to the first business rule; in response to a trigger operation by the user to correct the target information, display the document information replied by the intelligent robot on the target interaction page, where the target document is searched by the intelligent robot based on the corrected structured information, and the corrected structured information is obtained by correcting the structured information based on the corrected target information.

[0135] In some embodiments of the present disclosure, the document information is displayed in the form of an interactive card, and the display module 401 is further configured to, before generating a target to-do item based on the document information in response to a trigger operation by the user to confirm the document information, display the updated document information on the target interaction page in response to an edit operation by the user on the first data in the document information; the generation module 402 is specifically configured to, in response to a trigger operation by the user to confirm the document information, generate the target to-do item based on the updated document information.

[0136] In some embodiments of the present disclosure, the generation module 402 is specifically configured to, in response to a trigger operation by the user to confirm the document information, extract the context parameter data in the document information; determine whether the context parameter data conforms to the second business rule; when it is determined that the context parameter data conforms to the second business rule, generate the target to-do item based on the context parameter data; when it is determined that the context parameter data does not conform to the second business rule, display a third inquiry statement replied by the intelligent robot on the target interaction page, where the third inquiry statement is used to indicate that the second data in the context parameter data does not conform to the second business rule; in response to a trigger operation by the user to correct the second data, generate the target to-do item based on the corrected context parameter data, and the corrected context parameter data is obtained by correcting the context parameter data based on the corrected second data.

[0137] In some embodiments of the present disclosure, the generation module 402 is specifically configured to display the context parameter data replied by the intelligent robot on the target interaction page before determining whether the context parameter data conforms to the second business rule; in response to a triggering operation for the user to correct the second data, display the corrected context parameter data replied by the intelligent robot on the target interaction page; and generate the target to-do item based on the corrected context parameter data.

[0138] In the embodiments of the present disclosure, each module can implement the to-do item generation method provided in the above method embodiments and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0139] Figure 5 It is a schematic structural diagram of an electronic device provided in the embodiments of the present disclosure, which is used to exemplarily illustrate the electronic device for implementing any to-do item generation method in the embodiments of the present disclosure and should not be construed as a specific limitation to the embodiments of the present disclosure.

[0140] As Figure 5 shown, the electronic device 500 may include a processor (such as a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage device 508 into the random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0141] Generally, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 can allow the electronic device 500 to communicate with other devices wirelessly or wiredly to exchange data. Although the electronic device 500 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0142] In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network via the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processor 501, it can perform the functions defined in any of the to-do generation methods provided by the embodiments of the present disclosure.

[0143] It should be noted that the computer-readable medium described above in the present disclosure can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection having 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. In the present disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. And in the present disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable signal medium can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0144] In some embodiments, the client and the server can communicate using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed network.

[0145] The above computer-readable medium can be included in the above electronic device; or can exist separately without being assembled into the electronic device.

[0146] The above computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to: display a target interaction page for creating a to-do item, the members of the target interaction page including an intelligent robot and a user; in response to a trigger operation by the user, display a search instruction for a target document on the target interaction page; display, on the target interaction page, the document information of the target document replied by the intelligent robot, the target document being searched by the intelligent robot based on the search instruction; and in response to a trigger operation by the user to confirm the document information, generate a target to-do item based on the document information.

[0147] In the embodiments of the present disclosure, computer program code for performing the operations of the present disclosure can be written in one or more programming languages or combinations thereof. The above programming languages include, but are not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on a computer, partially on a computer, executed as an independent software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., by using an Internet service provider to connect through the Internet).

[0148] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0149] The units involved in the embodiments described in the present disclosure can be implemented in software or in hardware. In some cases, the name of the unit does not constitute a limitation on the unit itself.

[0150] The functions described above herein can be performed, at least in part, by one or more hardware logic components. By way of example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0151] In the context of the present disclosure, a computer-readable medium may be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a computer-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0152] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

[0153] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0154] Although the subject matter has been described in language specific to structural features and / or methodological act logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms for implementing the claims.

Claims

1. A method for generating a to-do list, characterized in that: The method comprises: Displaying a target interaction page, wherein the target interaction page is used to create a to-do item, and members of the target interaction page include an intelligent robot and a user; In response to a trigger operation by a user, a search instruction for a target document is displayed on the target interaction page; Displaying, on the target interaction page, document information of the target document replied by the intelligent robot, wherein the target document is searched by the intelligent robot based on the search instruction; In response to the user confirming the triggering operation of the document information, a target to-do item is generated based on the document information.

2. The method according to claim 1, characterized in that The document information of the target document replied by the intelligent robot is displayed on the target interaction page, including: When the intelligent robot searches for a document based on the search instruction, the document information replied by the intelligent robot is displayed on the target interaction page; In the case where the intelligent robot searches for multiple documents based on the search instruction, the identifiers of the multiple documents replied by the intelligent robot are displayed on the target interaction page; In response to a triggering operation in which the user selects the identifier of the target document from the identifiers of the multiple documents, the document information replied by the intelligent robot is displayed on the target interaction page.

3. The method according to claim 1, characterized in that In response to the user's triggering operation, after the target interactive page displays the search instruction for the target document, the method further includes: Determining whether the search instruction includes all elements required by the search condition; The document information of the target document replied by the intelligent robot is displayed on the target interaction page, including: In the case where it is determined that the search instruction includes all elements required by the search condition, displaying the document information replied by the intelligent robot on the target interaction page; In the case where it is determined that the search instruction includes some elements required by the search condition, displaying a first query statement replied by the intelligent robot on the target interaction page, wherein the first query statement is used to inquire the user about the target element required by the search condition, and the target element is an element not included in the search instruction; In response to the triggering operation of the target element input by the user, the document information replied by the intelligent robot is displayed on the target interaction page, and the target document is searched by the intelligent robot based on the search instruction and the target element.

4. The method according to claim 1, characterized in that: Before displaying the document information of the target document replied by the intelligent robot on the target interaction page, the method further includes: Extracting structured information included in the search instruction; Determining whether the structured information complies with a first business rule; The document information of the target document replied by the intelligent robot is displayed on the target interaction page, including: When it is determined that the structured information complies with the first business rule, displaying the document information replied by the intelligent robot on the target interaction page; In the case where it is determined that the structured information does not conform to the first business rule, displaying a second query statement replied by the intelligent robot on the target interaction page, where the second query statement is used to indicate that the target information in the structured information does not conform to the first business rule; In response to the user's triggering operation of modifying the target information, the document information replied by the intelligent robot is displayed on the target interaction page. The target document is searched by the intelligent robot based on the modified structured information, and the modified structured information is obtained by modifying the structured information based on the modified target information.

5. The method according to claim 1, characterized in that The document information is displayed in the form of an interactive card. In response to the trigger operation of the user confirming the document information, before generating the target to-do item based on the document information, the method further includes: In response to a user's editing operation on the first data in the document information, displaying the updated document information on the target interactive page; In response to the triggering operation of the user confirming the document information, generating a target to-do item based on the document information includes: In response to the user confirming the triggering operation of the document information, the target to-do item is generated based on the updated document information.

6. The method according to any one of claims 1 to 5, characterized in that In response to the triggering operation of the user confirming the document information, generating a target to-do item based on the document information includes: In response to the user confirming the triggering operation of the document information, extracting the context parameter data in the document information; determining whether the context parameter data complies with a second business rule; In a case where it is determined that the context parameter data complies with the second business rule, generating the target to-do item based on the context parameter data; In the case where it is determined that the context parameter data does not conform to the second business rule, displaying a third query statement replied by the intelligent robot on the target interaction page, wherein the third query statement is used to indicate that the second data in the context parameter data does not conform to the second business rule; In response to a triggering operation of the user to modify the second data, the target to-do item is generated based on the modified context parameter data, and the modified context parameter data is obtained by modifying the context parameter data based on the modified second data.

7. The method according to claim 6, characterized in that Before determining whether the context parameter data complies with the second business rule, the method further includes: Displaying the context parameter data replied by the intelligent robot on the target interaction page; In response to the triggering operation of the user modifying the second data, generating the target to-do item based on the modified context parameter data includes: In response to a triggering operation of the user to modify the second data, displaying the modified context parameter data replied by the intelligent robot on the target interaction page; The target to-do item is generated based on the modified context parameter data.

8. An electronic device, characterized in that: include: A memory and a processor, the memory is used to store a computer program; the processor is used to execute the to-do list generation method described in any one of claims 1 to 7 when calling the computer program.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the to-do list generating method according to any one of claims 1 to 7 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the to-do list generating method according to any one of claims 1 to 7 is implemented.

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