Information processing method and electronic device

Abstract

In some cases, an information processing method and electronic device are disclosed. The method includes receiving first information input via a first page, the first information indicating at least one object related to content in the first page; and receiving a first operation instructing analysis based on the association information of the at least one object and the content in the first page. In some cases, this enables the analysis of information about a project or a single task within a project.

Description

Technical Field

[0001] In some cases, this relates to the field of computer processing technology, and in particular to an information processing method and electronic device. Background Technology

[0002] In project management, it is often necessary to conduct periodic or on-demand analyses of the project or individual tasks within it. However, solutions that rely on manual analysis suffer from low information acquisition efficiency, biased analysis, and the potential to miss key information. Furthermore, these methods have high barriers to entry and rely excessively on personal experience. Summary of the Invention

[0003] In some cases, an information processing method, apparatus, electronic device, storage medium, and program product are provided to enable the analysis of information on a project or individual tasks within a project.

[0004] In one scenario, an information processing method is provided, the method comprising: Receive first information input via a first page, the first information indicating at least one object, the at least one object being related to content in the first page; Receive a first operation, the first operation instructing analysis based on the association information of the at least one object and the content in the first page.

[0005] In one embodiment, an information processing apparatus is also provided, the apparatus comprising: A first receiving module is configured to receive first information input via a first page, the first information indicating at least one object, the at least one object being related to the content of the first page; The second receiving module is used to receive a first operation, wherein the first operation instructs analysis based on the association information of the at least one object and the content in the first page.

[0006] In one instance, an electronic device is also provided, comprising: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the information processing method as described in any of some cases.

[0007] In one embodiment, a storage medium containing computer-executable instructions is also provided, which, when executed by a computer processor, are used to perform the information processing method as described in any of the embodiments.

[0008] In another scenario, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements the information processing method as described in any of the scenarios.

[0009] In the above method, by receiving first information input via a first page, which may indicate at least one object related to some content in the first page, and receiving a first operation, the first operation instructs analysis based on the association information of the at least one object and the content in the first page. Compared with general conversational analysis based solely on user dialogue and demand description, in some cases, combining the content of the first page and the association information of at least one object can provide more context for the analysis, construct a more complete and clear analysis scope, and make the analysis of the content in the first page more accurate and the analysis intent clearer, thus significantly improving the accuracy and reliability of the analysis results.

[0010] It should be understood that the content described in this section is not intended to identify key or important features of the solutions in certain situations, nor is it intended to limit the scope of the solutions in certain situations. Other features of the solutions in certain situations will become readily apparent from the following description. Attached Figure Description

[0011] In conjunction with the accompanying drawings and the following detailed description, the above and other features, advantages, and aspects of each embodiment will become more apparent in some cases. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0012] Figure 1 This is a schematic diagram of the structure of an information processing system under one scenario. Figure 2 This is a flowchart illustrating an information processing method under one specific scenario. Figure 3 This is a schematic diagram of a page in one scenario of information processing; Figure 4 This is a diagram illustrating object configuration in information processing under one specific scenario. Figure 5 This is a flowchart illustrating an information processing method for another scenario. Figure 6 This is a schematic diagram of the structure of an information processing device under one scenario. Figure 7 This is a schematic diagram of the structure of an electronic device that implements an information processing method in one scenario. Detailed Implementation

[0013] The embodiments will now be described in more detail with reference to the accompanying drawings. While some embodiments are shown in the drawings, it should be understood that solutions in certain situations can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the solutions in certain situations. It should be understood that the illustrated drawings and embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the solutions in certain situations.

[0014] It should be understood that the steps described in the method implementation may be performed in different orders and / or in parallel. Furthermore, the method implementation may include additional steps and / or omit the steps shown. In some cases, the scope of the solution is not limited in this respect.

[0015] In some contexts, the term "comprising" and its variations are used in an open-ended sense, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one situation" means "at least one situation"; the term "another situation" means "at least one additional situation"; the term "some situations" means "at least some situations". Definitions for other terms will be given in the following description.

[0016] It should be noted that in some cases, the concepts of "first" and "second" are used only to distinguish different devices, modules or units, and are not used to define the order of functions performed by these devices, modules or units or their interdependencies.

[0017] It should be noted that in some cases, the use of the modifiers "one" or "more" is illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, it should be understood as "one or more".

[0018] In some cases, the names of messages or information exchanged between multiple devices are used for illustrative purposes only and are not intended to limit the scope of those messages or information.

[0019] It is understandable that before using the technical solutions disclosed in various implementation methods under certain circumstances, users should be informed of the types, scope of use, and usage scenarios of personal information involved under certain circumstances and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0020] For example, upon receiving a user's proactive request, a prompt message can be sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to autonomously choose, based on the prompt message, whether to provide personal information to the software or hardware such as electronic devices, applications, servers, or storage media that perform operations under certain circumstances.

[0021] As an optional but non-limiting implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0022] It is understood that the above notification and user authorization process are merely illustrative and do not constitute a limitation on the implementation in certain situations. Other methods that comply with relevant laws and regulations may also be applied to the implementation in certain situations.

[0023] It is understandable that, in some cases, the data involved in the solution (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of relevant laws, regulations and related provisions.

[0024] Solutions can be applied in some situations Figure 1 The information processing system shown is a real-world application. In practical applications, this information processing system may include a client 101 and a server 102. The client 101 may include, but is not limited to, web applications such as browsers, applications (Apps), Hypertext Markup Language (HTML) applications, lightweight applications (also known as mini-programs), or cloud applications. The client 101 may be deployed on an electronic device and relies on the operation of that device or certain applications within the device to implement its functions. The electronic device may be, for example, a device with a display screen that supports information browsing, such as a smartphone, tablet, personal computer, or other mobile terminal or client terminal. For ease of understanding, Figure 1 The client is primarily represented by a device. Other applications, such as information processing applications, can also be configured on the electronic device. Server 102 can be one or more servers providing various services. That is, it can be implemented as a distributed server cluster composed of multiple servers, or as a single server; furthermore, it can be a server for a distributed system, a server integrating blockchain technology, a cloud server, or an intelligent cloud computing server or intelligent cloud host deployed with machine learning models, etc.

[0025] It should be noted that, in some cases, the information processing method can be executed by client 101, or by client 101 and server 102, with different functional parts of the corresponding information processing device deployed on client 101 and server 102 respectively; wherein, the first processing module, second processing module, and third processing module of the device are deployed on client 101. It should be understood that... Figure 1 The number of clients and servers shown is for illustrative purposes only. Any number of clients and servers can be configured to meet specific implementation requirements.

[0026] Figure 2 A flowchart illustrating an information processing method is provided. This method is applicable to scenarios involving task analysis of task information on a webpage. The method can be executed by an information processing device, which can be implemented in software and / or hardware, or optionally, through an electronic device, such as a mobile terminal, a PC, or a server.

[0027] like Figure 2 As shown, in some cases, the information processing method provided may specifically include the following processes: S210, Receive first information input via a first page, the first information indicating at least one object, the at least one object being related to the content in the first page.

[0028] The first page can be the current page used for task analysis. The content of the first page includes at least one of the following: task information, page status information, or configuration information. Optionally, the task information on the first page can be a work item instance or a project instance. Optionally, the first page can include information on multiple tasks, or it can include task details information for a single task. For example, the first page can be a task view page specifying information on multiple tasks, or it can be a task details page specifying information on a single task. By displaying detailed information on a single task or multiple task information on the first page, targeted analysis can be performed around a single task, or overall or batch analysis can be performed around multiple task information (i.e., analyzing multiple tasks), thus meeting the needs of refined individual analysis, overall analysis, or batch analysis.

[0029] The first information can be instructional information input within the first page. This first information indicates the analytical intent and focus of the analysis when performing task analysis on the content of the first page. The first information can be structured information selected using natural language or citations. The at least one object indicated by the first information can be an object existing within the content of the first page. Since at least one object is related to some content on the first page, the at least one object indicated by the first information can serve as a reference factor when analyzing the content of the first page. For example, it can serve as a clearly specified analytical target or object, used to limit the scope of analysis of the content on the first page, or to indicate the related content of the specified object to be focused on during analysis. This can prevent the introduction of irrelevant data or the omission of related content of the specified object during analysis.

[0030] In some cases, by inputting at least one object, the at least one object can be identified during analysis. Thus, when analyzing the content of the first page, the introduction of the at least one object can supplement the contextual information related to the content of the first page and the at least one object, thereby providing more contextual information for the analysis of the content of the first page, making the relevant analysis more accurate or comprehensive.

[0031] In some cases, it can be combined with the alternatives in one or more of the above situations.

[0032] For example, receiving first information entered via a first page includes the following steps: The system receives a first input operation, which includes natural language information used to describe the analysis requirements; and receives a second input operation, which is used to indicate at least one object.

[0033] The first input operation may include a text input operation performed via the first page. The natural language information corresponding to the first input operation may include a description of the analysis requirements input in everyday language or colloquial statements. For example, the natural language information corresponding to the first input operation may be "summarize progress," "analyze risks," or "statistics on overdue situations." The first input operation can be used to input natural language instructions that are easy for the intelligent system to understand, specifying what analysis is required based on the content on the first page.

[0034] In some cases, at least one intelligent system can be pre-configured. An intelligent system can represent a system capable of processing information, invoking tools, or autonomously controlling itself based on machine learning models. For example, an intelligent system can make decisions and autonomously execute actions based on machine learning models to achieve preset goals or complete preset tasks. An intelligent system can be an automated program that understands the user's intent and can utilize models or invoke tools to complete various types of tasks. In some cases, examples of intelligent systems may include, but are not limited to: agents, bots, chatbots, digital avatars, intelligent customer service, digital assistants, etc. Alternatively, an intelligent system can also be an intelligent role implemented based on a machine learning model. An "intelligent system" can process user requests based on generative models (e.g., language models, multimodal models) to perform specified types of tasks. In some cases, an intelligent system may also relate to virtual accounts, which may have corresponding avatars or nicknames.

[0035] The second input operation can specify at least one object in at least one of the following ways. These at least one ways can include selection, marking, and referencing, for example, using @ reference, clicking to select, etc. The at least one object can be related to the content of the first page, or can be an object mentioned in the content of the first page. "Mentioned" means that the object can be identified based on the content in a certain way, such as the content containing the first object, the meaning of the content pointing to the first object, or the processing flow of the content being related to the first object. Through the at least one object, the data analysis scope, analysis dimensions, or reference factors can be explicitly specified when analyzing the content of the first page. The second input operation can be used to define the data analysis scope in the content of the first page, transforming the relevant content of specific objects involved in the analysis intent into structured contextual information, facilitating automatic parsing and processing by the intelligent system. For example, it can be used as a data query condition to obtain information related to the at least one object, enabling the intelligent system to clearly identify which objects in the content of the first page are related to for analysis. In some cases, combinations of multiple objects can also be supported to flexibly construct the analysis scope or reference factors during analysis.

[0036] In some cases, the first input operation can be received in combination with one or more of the above-mentioned alternatives and may include the following steps: Display multiple seventh pieces of information, including analysis requirements composed of natural language, which are related to the content on the first page; receive a first input operation, which indicates the selection of multiple pieces of seventh information.

[0037] See Figure 3Multiple seventh pieces of information 310 can include multiple analysis requests generated by the intelligent system for the content on the first page, presented in natural language. Each seventh piece of information 310 can be a single analysis request composed of natural language and related to the content on the first page. Each seventh piece of information 310 can carry the analysis intent for the content on the first page. Each seventh piece of information 310 can be used to provide the intelligent system with the type and objective of the analysis to be performed. Each seventh piece of information 310 can be an analysis request instruction formed using everyday business language rather than technical syntax. The seventh information can adapt to the user's expression habits, allowing the user to complete the input of analysis requests without mastering professional query syntax. By using multiple seventh pieces of information, standardized and scenario-based analysis request options can be provided for the analysis of the content on the first page, thereby replacing the need to write analysis requests in natural language from scratch and reducing the interaction cost when analyzing the content on the first page.

[0038] See Figure 3 The seventh piece of information 310 can be generated based on the type of task information included in the content of the first page 300. For example, the seventh piece of information 310 can be automatically generated and displayed by an intelligent system. The seventh piece of information 310 is usually not general irrelevant content, thus ensuring that the analysis requirements recommended by the seventh piece of information can fit the task scenario of the content on the first page. This ensures that the analysis requirements for the content on the first page are as consistent as possible with the context of the content on the first page, improving the accuracy of the analysis. The first input operation can instruct the selection of at least one seventh piece of information from multiple seventh pieces of information as the analysis requirement for the content on the first page. This allows for confirmation of the analysis requirement in a lightweight interactive manner, avoiding complex operations such as manual input, modification, and error correction. Optionally, the first input operation can select at least one seventh piece of information from multiple seventh pieces of information in at least one of the following ways: the at least one way can include sequentially clicking on the seventh pieces of information to complete the selection of a single seventh piece of information or multiple seventh pieces of information; or performing long-press, box selection, or swipe interaction actions on the seventh pieces of information to complete the selection of multiple seventh pieces of information.

[0039] By displaying multiple seventh pieces of information related to the content on the first page and allowing users to select from these candidate seventh pieces of information, scenario-based recommendations and lightweight selection for analysis needs can be achieved without manually inputting complex text, thus reducing interaction costs. At the same time, the multiple seventh pieces of information generated based on the content on the first page can ensure a high degree of matching between analysis needs and task scenarios, thereby improving the accuracy and reliability of the analysis of the content on the first page.

[0040] In some cases, the receiving of a second input operation may be combined with one or more of the alternative schemes described above, and may include the following steps: receiving a trigger operation on a first control; correspondingly, in some cases, the information processing method provided may also include the following steps: in response to a trigger operation on a first control, displaying at least one type of object; receiving a second operation, the second operation being used to select at least one object from at least one type of object.

[0041] See Figure 3 The first control may include interactive controls provided by the first page for providing users with an object selection invocation operation. The first control may include at least one of the following visual interactive elements: a button, an input box, an @invocation icon, or a menu entry; for example, Figure 3 The first control 320 shown can correspond to a button style, and can serve as an entry point for initiating object selection. Triggering operations on the first control can include at least one of the following: clicking, long-pressing, hovering, or inputting a highlight symbol. For example, triggering operations on the first control can include clicking a button to select an object; or, triggering operations on the first control can include inputting an @ symbol in a relevant input box on the first page, thus receiving the triggering operation on the first control.

[0042] See Figure 4 At least one type of object may include a set of entity object types for the user to choose from, and at least one type of object is an object included in the content of the first page. This at least one type of object includes at least one of the following: task participants, task execution team, task attribute fields, or task information. For example, such as... Figure 4 As shown, when displaying objects, it's not necessary to load all objects related to the content of the first page at once. Instead, in response to a triggering operation on the first control, a selection panel containing at least one type of selectable object can pop up (e.g., a drop-down menu or selection pop-up) or a display area related to the first page can be shown, thus providing the user with a clear range of object selections. For example, such as... Figure 4 As shown, clicking the first control will bring up a selection panel that lists object categories such as members, teams, fields, and work items.

[0043] See Figure 4The second operation may include the action of selecting objects from at least one category of displayed objects. The second operation may include selecting objects from at least one category of displayed objects in at least one manner, including single selection, multiple selection, or selection after searching. Through the second operation, at least one object can be selected from at least one category of objects, thereby transforming relatively vague natural language intent into structured, relatively precise objects, thus clearly defining the portion of the content on the first page that is related to at least one object for analysis.

[0044] By providing a first control response trigger operation, at least one of the following types of objects can be dynamically displayed: task participants, execution team, attribute fields and task information. It can also receive a second operation to select at least one object from these objects, thereby achieving relatively lightweight and precise object selection and referencing. This allows for the construction of a structured context for analytical input, which can improve the accuracy of intent recognition and the reliability of analysis results for intelligent analysis of the content on the first page.

[0045] Optionally, the first page can be associated with a first area, and the input box of the first area is configured with a first control; multiple seventh pieces of information are displayed on the first area. The first area can be embedded in the first page, or the first area can be displayed using a pop-up page associated with the first page. In response to the triggering operation of the second control in the first page, the first area associated with the first page can be displayed, and the second control can be a control used to trigger the analysis of the content in the first page.

[0046] In some cases, it can be combined with one or more of the alternatives mentioned above, and in some cases, the information processing method provided also includes at least one of the following: Output the first content, which includes the content of the task participants mentioned in the first information source, and the first information source includes at least part of the task information associated with the first page; output the second content, which includes the content of the task execution team mentioned in the first information source; output the third content, which includes the content of the task information mentioned in the first information source; and output the fourth content, which includes the content of the task attribute fields mentioned in the first information source.

[0047] The first information source may include at least some task information associated with the first page. The first information source may include the raw data upon which the content extraction and intelligent analysis on the first page depend. The first information source may include data that is based on the first page, loaded and displayed on the first page, or related to the task information on the first page. Content in the first information source that mentions task participants may include content directly recorded, contained, pointed to, or associated with task participants within the information contained in the first information source. The first content may appear as information content in the first information source, or the first content may have a corresponding relationship with information in the first information source. Task participants may include personnel who directly participate in, process, or follow up on the task, such as the creator, person in charge, handler, and collaborator. For example, content in the first information source that mentions task participants may include descriptive information appearing in the first information source related to the participant's name, account, and role.

[0048] The content mentioning the task execution team in the first information source can include information directly recorded, contained, pointed to, or associated with the task execution team in the information contained in the first information source. The second content can appear as information content in the first information source, or the second content can have a corresponding relationship with the information in the first information source. The task execution team can include the organizational unit responsible for advancing the task. For example, the task execution team can include at least one of the following: R&D team, product team, testing team, project team. The task execution team can identify the organizational unit to which the task information on the first page belongs, clarifying which team is responsible. For example, the content mentioning the task execution team in the first information source can include descriptive information appearing in the first information source related to the team name, department affiliation, and team division of labor.

[0049] The content mentioning task information in the first information source can include content that directly records, contains, points to, or is associated with task information within the information contained in the first information source. Third content can appear as information content in the first information source, or the third content can have a corresponding relationship with information in the first information source. Task information can include descriptive information indicating the task itself, such as at least one of the following: task title, content description, status, progress, start and end times, and key nodes. For example, the content mentioning task information in the first information source can include text, fields, and records describing the task itself.

[0050] The content mentioning task attribute fields in the first information source can include content directly recorded, contained, pointed to, or associated with task attribute fields in the information contained in the first information source. The fourth content can appear as information content in the first information source, or the fourth content can have a corresponding relationship with information in the first information source. Task attribute fields can be structured fields used to describe the characteristics of task information. For example, task attribute fields can include at least one of the following: priority, severity, work hours, iteration version, tag, and associated work item. For example, the content mentioning task attribute fields in the first information source can include the values ​​or related descriptive information corresponding to each task attribute field in the first information source.

[0051] By categorizing or retrieving information according to dimensions such as task participants, task execution team, task attribute fields, and task information, information clutter can be avoided to some extent, allowing users to locate the content they are interested in. In some cases, by acquiring the information indicated by the above dimensions and performing structured processing on the acquired information, unstructured text can be transformed into information that is easy to identify, calculate, or statistically analyze. This provides relatively standardized data in terms of content category or format for the analysis of the content on the first page, facilitating analysis. Furthermore, output can be presented according to dimensions such as task participants, task execution team, task attribute fields, and task information. Therefore, in some cases, specifying a first object can both conform to reading logic and meet the needs of structured processing, facilitating direct display and serving as input data for subsequent data analysis and visualization.

[0052] Optionally, the third information may mention content from the first page. This mention can include content referenced or related to the first page. The third information may include descriptions, references, or associations related to the content displayed on the first page. The objects, data, or matters described in the third information may originate from or correspond to the content presented on the first page. For example, task information mentioned in the third information may include content displayed on the first page. Mentioning content from the first page in the third information establishes a relationship between the third information and the content on the first page. This allows for simultaneous analysis based on the association information of at least one object and the content on the first page, while also incorporating the third information. Furthermore, because the third information is related to the content on the first page, it effectively enriches the analytical dimensions and supplements the analytical basis, resulting in more comprehensive and accurate overall analysis results and improving the reliability of the data analysis.

[0053] S220, Receive a first operation, the first operation instructing analysis based on the association information of at least one object and the content in the first page.

[0054] The first operation may include a triggering operation to analyze the content on the first page. For example, the first operation can be triggered by at least one interactive action, such as clicking the analysis button, confirming submission, pressing Enter to send, or voice confirmation. The association information of at least one object can provide the data analysis scope, analysis dimensions, or reference factors for analyzing the content on the first page. The association information of at least one object can, together with the content on the first page, constitute the data analysis boundary. Therefore, based on the association information of at least one object and the content on the first page, task analysis can be performed by calling an intelligent system to output the first analysis result.

[0055] By receiving first information input via a first page, which may indicate at least one object related to some content on the first page, and receiving a first operation that instructs analysis based on the association information of at least one object and the content on the first page, compared to general conversational analysis that relies solely on user dialogue and requirement descriptions, this approach, in some cases, combines the content of the first page and the association information of at least one object with the context formed by the at least one object input via the first page to create a dual context constraint. This provides more context for the analysis, constructs a more complete and clear analysis scope, and makes the analysis of the content on the first page more accurate and the analysis intent clearer, significantly improving the accuracy and reliability of the analysis results.

[0056] In the above method, by receiving first information input via a first page, the first information can indicate at least one object. The content of the first page includes multiple objects, and the selected at least one object is related to a portion of the content on the first page. In this case, at least one object can be used to lock the portion of the content on the first page related to at least one object to participate in the analysis. Compared with general conversational analysis that only provides context through the content on the first page, in some cases, the context provided by the content on the first page, combined with the context formed by the association information of at least one object input via the first page, forms a dual context constraint, which can provide more context for the analysis, thereby constructing a more complete and clear analysis scope. It can receive user input and achieve accurate analysis by combining the inherent context of the first page without jumping to a different page or performing complex configuration. It retains the convenience of conversational interaction and solves the problems of vague scope and unclear intent in traditional general analysis, making the analysis of the content on the first page more accurate and the analysis intent clearer, and greatly improving the accuracy and reliability of the analysis results.

[0057] Figure 5A flowchart illustrating an information processing method under another scenario is provided. This scenario further optimizes the process after receiving the first operation in the aforementioned technical solutions. The technical solution in this scenario can be combined with various optional solutions in one or more of the aforementioned technical solutions.

[0058] like Figure 5 As shown, in some cases, the information processing method provided may include the following procedures: S510, Receive first information input via a first page, the first information indicating at least one object, the at least one object being related to the content in the first page.

[0059] S520, Receive a first operation, the first operation instructing analysis based on the association information of at least one object and the content in the first page.

[0060] S530. Output the first analysis result, which includes a first part and a second part. The first part is related to the content on the first page, and the second part is related to the association information of at least one object.

[0061] The first analysis result may include a complete analysis result output by an intelligent system after performing intelligent analysis based on the association information of at least one object and the content of the first page. The first analysis result may include analysis results output by performing at least one processing method on the content of the first page, such as summarization, statistics, project summary, or risk insight; the content of the first page may include work items and project data. The first part of the first analysis result may come from the content of the first page, ensuring that the analysis result closely matches the task scenario of the content on the first page. The second part of the first analysis result may come from at least one specified object and the association information of at least one object, ensuring that the analysis of the content of the first page is accurate, in-depth, and consistent with the actual analysis intent. The combination of the first and second parts of the first analysis result forms a complete analysis result that is both relevant to the first page and has personalized analysis objectives.

[0062] The first part of the first analysis result may include analysis content directly related to the content on the first page. This first part may originate from the analysis of the content on the first page; for example, the first analysis result may be the analysis result of task information on the first page, thus ensuring that the first analysis result is based on the task scenario of the content on the first page and, as far as possible, does not deviate from the task scenario of the first page. The second part of the first analysis result may include analysis results related to at least one specified object and its associated information.

[0063] The second part of the first analysis result can originate from extended information of at least one explicitly selected object. This extended information can include association information across four dimensions: task participants, task execution team, task attribute fields, and task information. The association information of at least one object can include information related to that object and relevant to the content on the first page. This provides depth or extended information for the analysis of the content on the first page, allowing the analysis to go beyond the content itself and uncover task information related to at least one object. This leverages the value of explicitly specifying extended context during analysis, resulting in a more focused and accurate first analysis result that better meets the user's actual analytical needs.

[0064] In the above method, by receiving at least one object related to the content on the first page as input on the first page, the content on the first page can be combined with the association information of the specified at least one object, thereby forming a complete analysis context with dual constraints. This allows the intelligent system to have a clearer understanding of the analysis requirements, and can avoid problems such as ambiguity in the analysis scope or deviation of intent caused by relying solely on the first page, thus improving the accuracy of the analysis requirements. Moreover, in some cases, the method provided is not limited to the content on the first page, but can also use the association information of at least one object, so that the analysis process for the content on the first page can cross the page boundary and incorporate scattered information into the analysis process of the content on the first page.

[0065] In some cases, this can be combined with one or more of the alternative solutions mentioned above. Before outputting the first analysis result, it may also include: outputting second information, which indicates the data range related to at least one object. The second information can be obtained by structured parsing based on the first information. The second information can indicate the data retrieval range and data analysis range of the content on the first page when analyzing the content on the first page. The second information can indicate the data retrieval range and data analysis range by automatically converting them into the underlying data retrieval range and data analysis range. This way, the range of data analysis can be accurately specified without understanding any details or configuring filtering conditions separately. Then, the intelligent system can perform intelligent analysis based on the second information and the content on the first page to output the first analysis result.

[0066] In some cases, it can be combined with the various options in one or more of the above situations. The first analysis result is also related to the third information, which comes from the second information source, which is different from the first page.

[0067] The second information source can include other accessible data sources besides those associated with the first page. This second information source can provide extended data independent of the first page, while still relating to the content on the first page. By expanding the data available for analysis, it avoids analytical biases caused by relying solely on a single data source. The third information source can include supplementary context obtained from the second information source, independent of the content on the first page. This supplementary context can assist in the analysis of the content on the first page, providing additional data not covered by the first page, enriching the analytical dimensions, and compensating for the limitations of analysis based on a single data source.

[0068] The second information source differs from the first page in that the data sources loaded, displayed, and associated with the first page are independent. The second information source and the first page may differ in at least one of the following: data range, storage location, and retrieval path. The second information source and the first page may not belong to the same context. The first analysis result is also related to the third information, allowing the output of the first analysis result to be obtained by combining the analysis from both the first and second information sources. This enables multi-source data fusion analysis, thereby making the output analysis results more reliable.

[0069] In the above method, the first analysis result is no longer limited to the content of the first page. By introducing supplementary data across scopes, types, and projects, a more complete task scenario can be covered. By combining the page context with the supplementary context from the second information source, relationships that cannot be found on a single page can be discovered. Moreover, the second information source can be independent of the first page, thus forming cross-validation. This can reduce the impact of local data bias or one-sided information on the output analysis results. Consequently, the first analysis result can be generated based on the fusion of multi-source data, which can overcome the limitations of using information from a single page for analysis and improve the comprehensiveness and accuracy of the analysis results.

[0070] In some cases, it may be combined with the various alternatives in one or more of the above situations. In some situations, the information processing method provided may also include at least one of the following: the second information source includes at least one of the following: instant messaging tools, email, documents, meetings, or meeting minutes; the second information source includes at least one of the following that are authorized to be accessed: communication information of at least one object regarding the content on the first page, decision information of at least one object regarding the content on the first page, execution information of at least one object regarding the content on the first page; or, the second information source includes information related to the execution of the task generated during the execution of the task corresponding to the content on the first page.

[0071] Optionally, the second information source may include information generated during collaborative task execution based on the content of the first page. The second information source may include at least one of the following that is authorized and permitted to be obtained: communication information, decision-making information and execution information related to the content of the first page. The second information source and the content of the first page belong to different data sources.

[0072] Communication information may include at least one type of interactive information between at least one object regarding the content on the first page. This at least one type of interactive information includes: information related to discussions, status updates, or Q&A feedback; for example, it may include at least one of the following, which are authorized for access: comments, messages, group chat logs, annotations, and conversation logs. Communication information can reflect the collaboration, feedback, and changes in requirements during the content's progression on the first page. Communication information can be used to determine the reasons for delays, repetitions, and changes to the content on the first page.

[0073] Decision information may include at least one directive on the content of the first page, which may include instructions related to judgment, confirmation, approval, modification, rejection, or confirmation of online deployment. Decision information may reflect control actions on key nodes of the content on the first page. Execution information may indicate records of at least one execution action of the content on the first page, which may include operation, processing, progress, status update, attachment upload, and completion acceptance. Execution-related information generated during task execution may include process data automatically or manually generated throughout the entire process of the content on the first page from creation to closure; for example, it may include, but is not limited to, at least one of the following: operation logs, status change records, work hour records, workflow records, and processing trajectories.

[0074] Optionally, the third information source is the second information source. The third information may include at least one object indicated by the first information and the analysis requirements indicated by the first information. The third information may include at least one of the following: authorized group chat information, online document information, or meeting minutes information corresponding to the collaborative execution of tasks on the first page, wherein the online document is a document that supports collaborative editing by at least two users.

[0075] In the above method, by introducing communication records, decision records, and execution records, the intelligent system can more accurately identify the underlying causes of problems such as task delays, repeated requests, poor collaboration, and potential risks. This allows for improved accuracy, completeness, and persuasiveness of the output analysis results when analyzing based on the related information of at least one object and the content of the first page.

[0076] In some cases, it can be combined with one or more of the alternative solutions mentioned above, and in some cases, the information processing method provided may also include the following steps: Output the third information, which is related to the first and fourth information. The fourth information indicates the operation record of the task information on the first page before the first operation was performed.

[0077] The first information indicates at least one object that can be used to clarify the scope or dimension of data analysis when analyzing the content on the first page. The first information can also indicate the configured analysis requirements when analyzing the content on the first page; for example, the first information may include at least one of the following: analysis objective, analysis type, output format, and focus dimension. The fourth information may include historical operation records of the task information on the first page performed before executing the first operation; for example, the fourth information may include at least one of the following: operation records of viewing, editing, filtering, clicking, associating, and configuring the task information on the first page. The fourth information can reflect historical focus, operational habits, and potential analysis needs on the first page.

[0078] In the above method, compared to simply performing a global search based on keywords, the combination of explicit and implicit analytical needs can be achieved through the use of first and fourth information. Moreover, the semantics formed by the combination of first and fourth information can enable joint filtering of information from the second information source and output of third information that is strongly related to the content on the first page. This avoids interference from irrelevant information, resulting in more focused and valuable supplementary context. Consequently, when analyzing the content on the first page based on the first information, more accurate intelligent analysis results can be output, improving analysis efficiency and reliability.

[0079] In some cases, it can be combined with one or more of the alternatives mentioned above, and in some cases, the information processing method provided also includes at least one of the following: Output the fifth piece of information, which indicates the role of the third piece of information in the task analysis of the task information on the first page; or output the sixth piece of information, which indicates the visual identifier related to the third piece of information; or, in response to the triggering operation of the sixth piece of information, output the third piece of information related to the sixth piece of information.

[0080] The fifth piece of information may include descriptive information to explain or illustrate the role played by the third piece of information. The role of the third piece of information may include its function or effect in analyzing the task information on the first page. The role of the third piece of information in the task analysis of the task information on the first page may include its function and effect during the analysis; for example, what value, problem-solving, or improvement can the third piece of information bring to the analysis process? The fifth piece of information can help users understand why the third piece of information was extracted and what role it plays in the output of the analysis results, making the analysis process interpretable and understandable.

[0081] The sixth piece of information can be a visual identifier associated with and pointing to the third piece of information. There can be a correspondence between the sixth piece of information and the third piece of information; each piece of sixth information can point to and represent a corresponding piece of third information. The visual identifier indicating the sixth piece of information can be a visual representation of the third information on the page. For example, the visual identifier indicating the sixth piece of information can take at least one of the following forms of interface elements: icons, labels, markers, highlight styles, cards, and color blocks. The visual identifier indicating the sixth piece of information can also be presented in at least one of the following visual forms: graphics, icons, colors, and symbols. By outputting a visual identifier of the sixth piece of information instead of directly displaying the third information, it can represent the corresponding output result, achieving lightweight and visual presentation of information.

[0082] The triggering operation for the sixth piece of information may include performing at least one of the following interactive actions on the visual identifier indicated by the sixth piece of information: clicking, long-pressing, hovering, and selecting. In response to the triggering operation for the sixth piece of information, detailed information corresponding to the third piece of information related to the sixth piece of information can be searched and displayed. This enables interactive linkage between the visual identifier and the detailed information, thereby effectively reducing user cognitive and browsing costs, improving the readability of analysis results, and optimizing the overall output effect of intelligent analysis results.

[0083] In some cases, optionally, outputting the fifth and sixth information may include: outputting the fifth and sixth information in a first type of display area of ​​a first region related to the first page; correspondingly, in response to a triggering operation on the sixth information, outputting the third information related to the sixth information may include: in response to the sixth information receiving a triggering operation on the first region related to the first page, outputting the third information related to the sixth information in a second type of display area of ​​the first region.

[0084] In some cases, it can be combined with one or more of the alternative solutions mentioned above, and in some cases, the information processing method provided may also include the following steps: The ninth information is displayed, indicating whether access to the tenth or eleventh information is authorized. The tenth information indicates the content on the first page, and the eighth information indicates collaborative information related to the content on the first page. The collaborative information may include at least one of the following that is authorized for access: communication information, decision-making information, and execution information related to the content on the first page. In response to the authorization confirmation operation for the tenth or eleventh information, access to the tenth or eleventh information is authorized when analyzing the content on the first page.

[0085] The ninth piece of information may include a permission authorization prompt, which can be used to inform the user and ask whether they authorize access to and use of the tenth or eleventh piece of information for intelligent analysis. This allows for the notification and confirmation of permission for the tenth or eleventh piece of information, clearly defining the scope of data use and meeting data security and privacy compliance requirements. After authorization confirmation, legitimate permissions are granted, allowing access to the tenth or eleventh piece of information during intelligent analysis. For example, when initially requesting analysis of content on the first page, a privacy authorization pop-up can be triggered, displaying two buttons: "Do not authorize now" and "Confirm authorization." Clicking "Do not authorize now" closes the pop-up, and only the tenth piece of information switch in the tool management is enabled; clicking "Confirm authorization" closes the pop-up, and the eleventh piece of information is enabled in all tool management settings.

[0086] By displaying authorization prompts and obtaining user confirmation, an access authorization mechanism can be established for the content and related collaborative information on the first page. This ensures the complete acquisition of the data required for intelligent analysis, thereby improving the comprehensiveness and accuracy of the analysis results. It also enables controllability and compliance of data access, thereby enhancing system security and user credibility.

[0087] In some cases, it can be combined with various alternative solutions in one or more of the above situations. In some cases, the information processing method provided further includes the following steps: displaying a second analysis result in a first analysis result in a first display style, wherein the first display style is a pre-configured display style, and the second analysis result includes at least a portion of the analysis results in the first analysis result, wherein the intelligent system determines whether to use the first display style to display the second analysis result.

[0088] By using a pre-configured first display style, some content can be highlighted in the first analysis result to form a second analysis result, which can strengthen the presentation of core analysis conclusions. Furthermore, the intelligent system automatically determines whether to use the first display style, so as to dynamically select the display format according to the analysis content, data type, business scenario and usage habits, without the need for manual configuration by the user. This can improve the intelligence of the display logic, and the automatic decision-making of the display style can adapt to multiple analysis scenarios and multi-terminal interface layouts.

[0089] Figure 6 A schematic diagram of an information processing device is provided for a scenario in which task analysis is performed on task information on a page. The information processing device can be implemented in the form of software and / or hardware, and optionally, it can be implemented by an electronic device, such as a mobile terminal, a PC, or a server.

[0090] like Figure 6 As shown, in some cases, the information processing apparatus provided may specifically include the following: The first receiving module 610 is configured to receive first information input via a first page, the first information indicating at least one object, the at least one object being related to the content in the first page; The second receiving module 620 is used to receive a first operation, the first operation instructing analysis based on the association information of the at least one object and the content in the first page.

[0091] In some cases, the first information input via the first page can be combined with one or more of the above-mentioned alternatives. Receive a first input operation, the first input operation including natural language information, the natural language information being used to describe the analysis requirements; Receive a second input operation, which is used to indicate the at least one object.

[0092] In some cases, the method may be combined with one or more of the above-mentioned alternative schemes, and receiving the second input operation includes: receiving a trigger operation on the first control; the method further includes: displaying at least one type of object in response to the trigger operation on the first control; Receive a second operation, the second operation being used to select the at least one object from the at least one type of object.

[0093] In some cases, it may be combined with various alternatives in one or more of the above situations, wherein the at least one type of object includes at least one of the following: task participants, task execution team, task attribute field, or task information.

[0094] In some cases, the device may be combined with one or more of the alternative solutions described above, and the device further includes: Output a first analysis result, which includes a first part and a second part. The first part is related to the content of the first page, and the second part is related to the association information of the at least one object.

[0095] In some cases, it can be combined with one or more of the alternatives mentioned above, and before outputting the first analysis result, it also includes: Output second information, which indicates the range of data associated with the at least one object.

[0096] In some cases, the device may be combined with one or more of the alternatives described above, and may further include at least one of the following: Output first content, which includes content from a first information source that mentions the task participants, and the first information source includes at least some task information associated with the first page; Output a second content, which includes the content in the first information source that mentions the task execution team; Output a third content, which includes the content in the first information source that mentions the task information; Output a fourth piece of content, which includes the content of the task attribute field mentioned in the first information source.

[0097] In some cases, it can be combined with various alternatives in one or more of the above situations. The first analysis result is also related to third information, which comes from a second information source that is different from the first page.

[0098] In some cases, the third information may be combined with one or more of the alternative options mentioned above, and the third information refers to the content on the first page.

[0099] In some cases, the device may be combined with one or more of the alternatives described above, and may further include at least one of the following: The second information source includes at least one of the following: instant messaging tools, emails, documents, meetings, or meeting minutes; or, The second information source includes at least one of the following: communication information of the at least one object regarding the content of the first page, decision information of the at least one object regarding the content of the first page, and execution information of the at least one object regarding the content of the first page; or, The second information source includes information related to the task being executed, generated during the execution of the task corresponding to the content on the first page.

[0100] In some cases, the device may be combined with one or more of the alternative solutions described above, and the device further includes: Output a third piece of information, which is related to the first and fourth pieces of information. The fourth piece of information indicates the operation record of the task information on the first page before the first operation is performed.

[0101] In some cases, the device may be combined with one or more of the alternatives described above, and may further include at least one of the following: Output a fifth piece of information, which indicates the role of the third information in the task analysis of the task information on the first page, or... Output a sixth piece of information, which indicates a visual identifier related to the third piece of information; or, In response to the triggering operation of the sixth information, the third information related to the sixth information is output.

[0102] In some cases, it can be combined with one or more of the alternative options mentioned above to receive a first input operation, including: Multiple seventh pieces of information are displayed, including analysis requirements composed of natural language, and these seventh pieces of information are related to the content on the first page; Receive a first input operation, which indicates the selection of the plurality of seventh information.

[0103] In some cases, the device may be combined with one or more of the alternative solutions described above, and the device further includes: The ninth information is displayed, indicating whether authorization is granted to obtain the tenth or eleventh information. The tenth information indicates the content on the first page. The eighth information indicates collaborative information related to the content on the first page. The collaborative information includes at least one of the following: communication information, decision-making information, and execution information related to the content on the first page. In response to the authorization confirmation operation for the tenth or eleventh information, access to the tenth or eleventh information is authorized when analyzing the content on the first page.

[0104] In some cases, the device may be combined with one or more of the alternative solutions described above, and the device further includes: The second analysis result is displayed in the first analysis result using a first display style, the first display style being a pre-configured display style, and the second analysis result including at least a portion of the analysis results in the first analysis result, wherein the intelligent system determines whether to use the first display style to display the second analysis result.

[0105] In some cases, the first page may be combined with one or more of the alternative options described above, whereby the first page includes information on multiple tasks, or the first page includes task details information for a single task.

[0106] In the above method, by receiving first information input via a first page, the first information can indicate at least one object. The content of the first page can include multiple objects, and the selected at least one object is related to a portion of the content on the first page. In this case, at least one object can be used to lock the portion of the first page content related to at least one object to participate in the analysis. Compared with general conversational analysis that only provides context through the content on the first page, in some cases, combining the context provided by the content on the first page can form a dual context constraint with the context constituted by the associated information of at least one object input via the first page. This can provide more context for the analysis, thereby constructing a more complete and clear analysis scope. Furthermore, it can receive user input and combine it with the inherent context of the first page to achieve accurate analysis without jumping to a new page or performing complex configuration. This can retain the convenience of conversational interaction and solve the problems of vague analysis scope and unclear analysis intent in traditional general analysis. As a result, the analysis of the content on the first page can be more accurate and the analysis intent can be clearer, which can significantly improve the accuracy and reliability of the analysis results.

[0107] The aforementioned information processing apparatus can execute the information processing method provided in any of the embodiments under certain circumstances, and has the corresponding functional modules and beneficial effects for executing the information processing method.

[0108] It is worth noting that the various units and modules included in the above-mentioned interactive device are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the implementation in some situations.

[0109] The following is for reference. Figure 7 The diagram illustrates a structural schematic of an electronic device (e.g., a terminal device or server) 700 suitable for implementing the aforementioned information processing method. In some cases, the terminal device provided may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the implementation in certain situations.

[0110] like Figure 7 As shown, the electronic device 700 may include a processing unit (e.g., a central processing unit, a graphics processor, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 into a random access memory (RAM) 703. The RAM 703 also stores various programs and data required for the operation of the electronic device 700. The processing unit 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0111] Typically, the following devices can be connected to I / O interface 705: input devices 706 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 708 including, for example, magnetic tapes, hard disks, etc.; and communication devices 709. Communication device 709 allows electronic device 700 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 7 An electronic device 700 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0112] In particular, according to certain embodiments, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some technical solutions include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the information processing method shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 709, or installed from storage device 708, or installed from ROM 702. When the computer program is executed by processing device 701, it performs the functions defined in the information processing method of some embodiments.

[0113] In some cases, the names of messages or information exchanged between multiple devices are used for illustrative purposes only and are not intended to limit the scope of those messages or information.

[0114] In some cases, the electronic device provided in the embodiments and the information processing method provided in the above technical solutions belong to the same inventive concept. Technical details not described in detail in some cases can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0115] In some cases, a computer storage medium is provided that stores a computer program, which, when executed by a processor, implements the information processing method provided in the above embodiments.

[0116] It should be noted that, in some cases, the aforementioned computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some cases, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some cases, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0117] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0118] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0119] The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receive first information input via a first page, the first information indicating at least one object related to content in the first page; and receive a first operation instructing analysis based on the association information of the at least one object and the content in the first page.

[0120] Computer program code for performing operations under certain conditions can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include, but are not limited to, object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0121] 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 in some cases. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in 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 using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0122] The modules or units described herein may be implemented in software or hardware in some cases. The name of the module or unit may not, in certain circumstances, constitute a limitation on the module or unit itself.

[0123] In some cases, the functions described above can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0124] In certain contexts, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, 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 machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0125] The above description is merely a preferred embodiment in some situations and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure in some situations is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in some situations.

[0126] Furthermore, although the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. Multitasking and parallel processing may be advantageous in certain environments. Similarly, while several specific implementation details are included in the above discussion, these should not be interpreted as limitations on the scope in some situations. Certain features described in the context of a single implementation may also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation may also be implemented individually or in any suitable sub-combination in multiple implementations.

[0127] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. An information processing method, the method comprising: Receive first information input via a first page, the first information indicating at least one object, the at least one object being related to content in the first page; Receive a first operation, the first operation instructing analysis based on the association information of the at least one object and the content in the first page.

2. The method according to claim 1, wherein receiving the first information input via the first page includes: Receive a first input operation, the first input operation including natural language information, the natural language information being used to describe the analysis requirements; Receive a second input operation, which is used to indicate the at least one object.

3. The method according to claim 2, wherein receiving the second input operation includes: Receive trigger operations on the first control; The method further includes: displaying at least one type of object in response to a triggering operation on the first control; Receive a second operation, the second operation being used to select the at least one object from the at least one type of object; or, The at least one type of object includes at least one of the following: task participants, task execution team, task attribute fields, or task information.

4. The method according to claim 1, further comprising: Output a first analysis result, which includes a first part and a second part. The first part is related to the content of the first page, and the second part is related to the association information of the at least one object.

5. The method according to claim 4, further comprising, before outputting the first analysis result: Output second information, which indicates the range of data associated with the at least one object.

6. The method according to claim 3, further comprising at least one of the following: Output first content, which includes content from a first information source that mentions the task participants, and the first information source includes at least some task information associated with the first page; Output a second content, which includes the content in the first information source that mentions the task execution team; Output a third content, which includes the content in the first information source that mentions the task information; Output a fourth piece of content, which includes the content of the task attribute field mentioned in the first information source.

7. The method according to any one of claims 1-6, wherein the first analysis result is further related to third information, the third information being derived from a second information source, the second information source being different from the first page.

8. The method according to claim 7, wherein the third information refers to the content of the first page.

9. The method of claim 7, further comprising at least one of the following: The second information source includes at least one of the following: instant messaging tools, email, documents, meetings, or meeting minutes; The second information source includes at least one of the following: communication information of the at least one object regarding the content of the first page, decision information of the at least one object regarding the content of the first page, and execution information of the at least one object regarding the content of the first page; or, The second information source includes information related to the task being executed, generated during the execution of the task corresponding to the content on the first page.

10. The method of claim 7, further comprising at least one of the following: Output a third piece of information, which is related to the first and fourth pieces of information. The fourth piece of information indicates the operation record of the task information on the first page before the first operation was performed; or... Output a fifth piece of information, which indicates the role of the third information in task analysis of the task information on the first page; or... Output a sixth piece of information, which indicates a visual identifier related to the third piece of information; or, In response to the triggering operation of the sixth information, the third information related to the sixth information is output.

11. The method of claim 2, wherein receiving a first input operation comprises: Multiple seventh pieces of information are displayed, including analysis requirements composed of natural language, and these seventh pieces of information are related to the content on the first page; Receive a first input operation, which indicates the selection of the plurality of seventh information.

12. The method according to claim 1, further comprising: The ninth information is displayed, indicating whether authorization is granted to obtain the tenth or eleventh information. The tenth information indicates the content on the first page. The eighth information indicates collaborative information related to the content on the first page. The collaborative information includes at least one of the following: communication information, decision-making information, and execution information related to the content on the first page. In response to the authorization confirmation operation for the tenth or eleventh information, access to the tenth or eleventh information is authorized when analyzing the content on the first page.

13. The method according to claim 1, further comprising: The second analysis result is displayed in the first analysis result using a first display style, the first display style being a pre-configured display style, and the second analysis result including at least a portion of the analysis results in the first analysis result, wherein the intelligent system determines whether to use the first display style to display the second analysis result.

14. The method according to claim 1, wherein the first page includes information on multiple tasks, or the first page includes task details information for a single task.

15. An electronic device, the electronic device comprising: At least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-14.

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