Cross-platform content arrangement and synchronization method and system based on semantic intention constraint, and storage medium

Abstract

The application discloses a cross-platform content arrangement and synchronization method and system based on semantic intention constraint and a storage medium. The method comprises the following steps: receiving source content and corresponding publishing targets; analyzing the source content and constructing a semantic content graph; obtaining platform capability portraits of target online platforms and account constraint portraits of target accounts; generating at least one platform adaptive content package based on the semantic content graph, the platform capability portraits, the account constraint portraits and a publishing strategy; performing pre-publishing constraint verification on the platform adaptive content package; and in the case that the verification is passed, synchronizing the platform adaptive content package to a target content area of the target online platform and recording source relationships between the content package and the source content, the publishing targets, the verification result and the synchronization result. Through the application, the consistency, adaptability, verifiability and traceability of cross-platform content publishing can be improved.

Description

Technical Field

[0001] This invention relates to the field of Internet content management and data processing technology, and in particular to a cross-platform content orchestration and synchronization method, system and storage medium based on semantic intent constraints.

[0002] More specifically, the present invention relates to a technical solution for semantically parsing source content, and combining target platform capability constraints, target account constraints and publishing strategies to generate content packages adapted to different online platform content areas, and for verifying, publishing, rereading and tracing the generated content packages. Background Technology

[0003] With the widespread use of live streaming platforms, social media platforms, membership platforms, and e-commerce platforms, operations personnel typically need to maintain interconnected information such as descriptions, event details, product links, membership benefits, promotional entry points, and disclaimers across multiple platforms and different content areas. This content often originates from the same business matter, such as the same event, the same product collection, or the same creator's information. However, due to differences in field types, character length limits, link rules, review requirements, visibility settings, and account permissions across different platforms, cross-platform maintenance becomes a significant workload and prone to issues such as inconsistencies, exceeding field limits, broken links, and failed reviews.

[0004] In existing technologies, common cross-platform synchronization solutions often focus on page automation or automatic form filling. This involves using pre-defined scripts to copy pre-defined text into input boxes on different platforms or to write predefined field values ​​into corresponding page areas. While these solutions can reduce manual operations to some extent, they primarily focus on "how to submit content," rather than "what content should be submitted and why." When the source content includes multiple products, multiple audiences, multiple activity stages, and multiple compliance constraints, relying solely on field-level copying or page-level automation makes it difficult to guarantee that the final content displayed on each platform aligns with business intent. Figure 1 To.

[0005] For example, for the same event information, the short text display area may need to retain the event name, deadline, and main link, while the membership benefits description area needs to emphasize the benefit conditions and applicable groups. The e-commerce platform description area may need to highlight product combinations, inventory information, and after-sales service. Copying the same content uniformly across all platforms can easily lead to missing key information, redundant irrelevant information, fields that cannot be accommodated, or expressions that the platform does not allow being directly submitted, thus affecting the display effect and the approval rate.

[0006] Furthermore, existing technologies often lack effective verification mechanisms for pre-release states. Operations personnel often only discover issues such as truncated text, filtered links, automatic removal of special characters by the platform, missing rich text formatting, or the omission of essential disclaimers after content submission. For activities requiring frequent updates, different platforms may update successfully while retaining the old version, leading to inconsistencies in activity dates, benefit descriptions, or redirect links seen by users across different platforms.

[0007] Furthermore, existing technologies also have shortcomings in traceability and governance. For a published content area, it is often difficult to clearly identify its corresponding source content version, the activity information on which it is based, the applicable platform restrictions, the review rules it has violated, and the manual approval process it has undergone. When the source content changes, the system has difficulty in timely identifying which platform content needs to be updated synchronously; when publishing fails or the platform displays abnormally, it is also difficult to quickly determine which acceptable version should be rolled back to.

[0008] Therefore, existing technologies lack a cross-platform content orchestration and synchronization solution that can uniformly organize content at the semantic level of the source content, automatically generate adapted content in combination with different platform and account restrictions, and verify, synchronize, reread, trace and optimize the content package before and after release. Summary of the Invention

[0009] To address the aforementioned problems in existing technologies, the present invention aims to provide a cross-platform content orchestration and synchronization method, system, and storage medium based on semantic intent constraints, in order to solve the problem that existing cross-platform content synchronization solutions cannot simultaneously ensure content semantic consistency, platform adaptability, release verifiability, and version traceability.

[0010] To achieve the above objectives, this invention provides a cross-platform content orchestration and synchronization method based on semantic intent constraints. The method includes: receiving source content and a corresponding publishing target; parsing the source content to construct a semantic content graph; obtaining a platform capability profile of the target online platform and an account constraint profile of the target account; generating at least one platform-adapted content package based on the semantic content graph, the platform capability profile, the account constraint profile, and a preset publishing strategy; performing pre-publishing constraint verification on the platform-adapted content package; if the verification passes, synchronizing the platform-adapted content package to the target content area of ​​the target online platform; and recording the source relationships between the platform-adapted content package, the source content, the publishing target, the verification result, and the publishing result.

[0011] In the above technical solution, the semantic content graph may include one or more of the following: subject nodes, activity nodes, product nodes, link nodes, audience nodes, time nodes, rights nodes, and risk attribute nodes. These nodes are associated through semantic relationships such as belonging to an activity, targeting an audience, pointing to a product, being geographically restricted, inheriting disclosure obligations, and being published to a target region. By transforming raw text and structured information into a semantic content graph, the content arrangement object can be elevated from a complete text to combinable content fragments with clear semantic meaning.

[0012] In the above technical solution, the platform capability profile is used to characterize the target online platform's platform-side constraints, such as field types, length limits, formatting capabilities, link quantity limits, review rules, display rules, and readback methods; the account constraint profile is used to characterize the target account's account-side constraints, such as authentication status, available content areas, allowed content types, geographical restrictions, posting frequency restrictions, and approval requirements. By simultaneously introducing both the platform capability profile and the account constraint profile, the problem of ignoring the differences in actual posting permissions between different accounts by generating content solely based on general platform rules can be avoided.

[0013] In the above technical solution, the process of generating platform-adapted content packages includes: selecting content fragments to be published from the semantic content graph according to the publishing target; mapping the content fragments to fields supported by the target content area; and performing one or more of the following processing on the content fragments according to the platform capability profile and account constraint profile: summarizing, rearranging, link replacement, sensitive expression rewriting, format downgrading, localization processing, supplementary explanation generation, and expired information removal, thereby obtaining one or more candidate content packages.

[0014] In the above technical solution, the pre-release constraint verification includes one or more of the following: length verification, field capability verification, link validity verification, link quantity verification, activity time verification, content consistency verification, sensitive expression verification, duplicate content verification, account qualification verification, and display simulation verification. If necessary, approval status judgment and risk level judgment can also be combined to determine whether candidate content packages are allowed to enter the release stage.

[0015] In the above technical solution, the method may further include: after the content is published, reading back the actual displayed content from the target online platform; comparing the actual displayed content with the published content package; and triggering retry publishing, alternative content package publishing, downgrade publishing, manual alerting, or rollback processing when field truncation, automatic platform rewriting, old content residue, partial submission, or missing key descriptions are detected.

[0016] Furthermore, to make the technical solutions corresponding to the method claims clearer, the cross-platform content orchestration and synchronization method can be refined into the following steps: Step S101, receiving source content and publishing target; Step S102, performing semantic parsing on the source content and constructing a semantic content graph; Step S103, obtaining platform capability profile and account constraint profile; Step S104, generating one or more candidate platform-adaptive content packages based on the semantic content graph, platform capability profile, account constraint profile, and publishing strategy; Step S105, performing pre-publishing constraint verification and display simulation on the candidate platform-adaptive content packages; Step S106, performing target platform synchronization when verification is passed, and recording the source chain, version chain, and synchronization result; and Step S107, updating the profile or generation strategy based on the readback result, review feedback, and manual revision result.

[0017] Step S101 mainly completes the access, collection, and task initialization of source content, ensuring that the system obtains complete activity descriptions, product information, link information, audience tags, and publishing target information; Step S102 mainly completes entity recognition, time recognition, link recognition, semantic classification, and relationship establishment to convert the source content into a semantic content graph that can be used for arrangement; Step S103 mainly completes the acquisition and summarization of the target platform and target account restrictions; Step S104 mainly completes content fragment selection, field mapping, constraint adaptation, and candidate content package generation; Step S105 mainly completes the verification of length, links, field capabilities, compliance, consistency, and display effects; Step S106 mainly completes content submission, status transition, publishing result recording, and reread comparison; Step S107 mainly completes the summarization of failure reasons, absorption of difference feedback, and optimization of subsequent content generation strategies.

[0018] Preferably, steps S101 to S107 can be performed by... Figure 4 , Figure 5 and Figure 7 The processes shown share a common characteristic, in which Figure 4 Used to represent the main generation process of platform-adapted content packages. Figure 5 Used to represent and demonstrate the pre-release verification and simulation process. Figure 7 This is used to represent the feedback and optimization process after publication. By mapping the steps in the method claims to the process nodes in the accompanying drawings, the specification's support for the technical features of the claims and its comprehensibility can be improved.

[0019] This invention also provides a cross-platform content orchestration and synchronization system based on semantic intent constraints. The system includes a content management module, a semantic parsing module, a profile management module, a content orchestration module, a publishing governance module, a synchronization execution module, and a source chain management module. The modules work together to implement the above method.

[0020] The present invention also provides a non-transitory computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the above-described method.

[0021] Compared with existing technologies, this invention has at least the following beneficial effects: First, this invention no longer understands cross-platform synchronization as a simple copy of a given text, but rather splits, combines, and adapts the source content based on a semantic content graph, thus improving the relevance and consistency of content expression across different platforms; Second, this invention introduces platform capability profiling and account constraint profiling during the content generation stage, which can avoid the risk of failure caused by differences in field length, link format, review requirements, and account permissions before publication; Third, this invention improves the verifiability, traceability, and rollback capability of the content publication process through pre-publication verification, post-publication readback, and source chain management; Fourth, this invention can continuously optimize content arrangement strategies based on publication results and readback differences, thereby improving the stability and automation of subsequent synchronization tasks. Attached Figure Description

[0022] Figure 1 A schematic diagram of the overall structure of a cross-platform content orchestration and synchronization system based on semantic intent constraints provided in an embodiment of the present invention;

[0023] Figure 2 This is a schematic diagram of the semantic content graph in an embodiment of the present invention; Figure 3 This is a schematic diagram of platform capability profiling and account constraint profiling in an embodiment of the present invention; Figure 4 This is a schematic diagram of the main process of the method claims and the platform-adapted content package generation process in the embodiments of the present invention; Figure 5 This is a schematic diagram of the pre-release verification and release simulation process corresponding to the method claims in the embodiments of the present invention; Figure 6 This is a schematic diagram of the release state machine and source chain management in an embodiment of the present invention; Figure 7 This is a schematic diagram of the subsequent feedback optimization process of the method claims in the embodiments of the present invention. Detailed Implementation

[0024] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the following embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. Those skilled in the art can make various modifications or substitutions to the embodiments without departing from the spirit and essence of the present invention, and all such modifications or substitutions should fall within the scope of protection of the present invention.

[0025] See Figure 1The cross-platform content orchestration and synchronization system 100 based on semantic intent constraints provided in this embodiment may include a content management server 110, a semantic parsing engine 120, a content orchestration engine 130, a publishing governance engine 140, a synchronization execution component 150, a feedback optimization engine 160, and one or more target online platforms 170. The content management server 110 is used to store or receive source content, activity data, product data, creator information, link information, media resources, and publishing target information; the semantic parsing engine 120 is used to perform semantic parsing on the source content and construct a semantic content graph; the content orchestration engine 130 is used to generate platform-adaptive content packages according to publishing targets and constraints; the publishing governance engine 140 is used to perform verification, approval, and publishing strategy judgment; the synchronization execution component 150 is used to submit the content package to the target online platform 170 and perform a readback after publishing; the feedback optimization engine 160 is used to optimize subsequent content generation strategies based on the publishing results and readback results.

[0026] In this embodiment, the so-called source content can be activity descriptions entered by operations personnel, or data pushed by external content management systems, product management systems, membership systems, activity scheduling systems, or data management systems. Source content can be plain text or include structured fields such as activity name, activity start and end dates, product number, product link, applicable audience tags, disclaimers, tag text, and media references. The publishing target specifies which platforms, accounts, and content areas the content needs to be synchronized to, and can further define the publishing time, content purpose, expected audience, priority, and approval requirements.

[0027] See Figure 2 After receiving the source content, the semantic parsing engine 120 first identifies and normalizes the text, links, time, product attributes, and audience attributes in the source content to construct a semantic content graph 200. The semantic content graph 200 may include at least subject nodes, activity nodes, product nodes, link nodes, audience nodes, time nodes, rights nodes, and risk attribute nodes. The nodes are connected through preset semantic relationships. For example, an expiration date relationship can be established between activity nodes and time nodes, a jump relationship can be established between product nodes and link nodes, an applicable object relationship can be established between audience nodes and rights nodes, and risk attribute nodes can be associated with disclaimer text, sensitive expressions, or restricted links.

[0028] Through Semantic Content Graph 200, the system records not only the literal content of the original text, but also the logical and constrained relationships between content fragments. For example, in an event scenario, a product link can be marked as the main promotional link, while another product link can be marked as a backup link; a disclaimer can be marked as mandatory to display along with specific event descriptions; a short sentence can be marked as applicable to short text areas but not to detail description areas. Therefore, during subsequent platform adaptation, the system can select and combine content based on semantic levels rather than the entire text level.

[0029] See Figure 3 The platform capability profile 300 characterizes the target online platform's capabilities and limitations in content submission and display. Specifically, the platform capability profile 300 may include field type capabilities, field length limits, rich text support capabilities, link quantity limits, link format requirements, media support capabilities, review rules, display rules, and readback methods, etc. The account constraint profile 400 characterizes the actual usable capabilities of a specific account on the target online platform, such as account authentication status, account level, available content areas, geographical restrictions, posting frequency restrictions, whether manual approval is required, and historical posting pass rates, etc. Since different accounts on the same platform may have different posting permissions, this invention separates common platform constraints from individual account constraints to improve the accuracy of content generation.

[0030] In one example, the platform capability profile 300 can indicate that a platform's description field only supports plain text with a fixed character limit and does not support external links; while the account constraint profile 400 can further indicate that a specific account does not yet have editing permissions for the extended information area. In this case, even if the source content contains lengthy activity descriptions and multiple product links, the system will not simply copy all the content. Instead, it will filter out the activity name, time information, and guiding phrases that must be retained based on the semantic content graph, and express them in a way permitted by the platform, thereby reducing the risk of publication failure.

[0031] See Figure 4 The content orchestration engine 130 can generate platform-adapted content packages based on the publishing target, semantic content graph 200, platform capability profile 300, and account constraint profile 400. Specifically, the content orchestration engine 130 can first select content fragments related to the current synchronization task from the semantic content graph 200 according to the publishing target; then, map the selected content fragments to the fields corresponding to the target content area; and then, in combination with platform capabilities and account constraints, perform processing such as summarizing, rearranging, link replacement, text rewriting, localization, format downgrading, and supplementary description generation on the content fragments to form one or more candidate content packages.

[0032] Furthermore, Figure 4This can also be understood as a flowchart of the main steps of the method claims. Specifically, step S101 corresponds to receiving source content and the publishing target; step S102 corresponds to constructing a semantic content graph 200; step S103 corresponds to obtaining a platform capability profile 300 and an account constraint profile 400; step S104 corresponds to generating candidate platform-adapted content packages; step S105 corresponds to scoring, filtering, and entering the verification stage for the candidate content packages; and step S106 corresponds to outputting platform-adapted content packages that can enter the publishing stage. In other words, Figure 4 It not only describes the generation logic inside the content orchestration engine 130, but also supports the continuous processing steps of "receiving, parsing, acquiring, and generating" in the method claims.

[0033] For example, for publishing objectives targeting short text areas, the content orchestration engine 130 can prioritize retaining the event name, key benefits, deadline, and main link introduction, while compressing lengthy descriptions. For publishing objectives targeting detail areas, it can add product bundle descriptions, applicable conditions, and supplementary disclaimers. If a platform does not support multiple external links, the content orchestration engine 130 can retain the main link in the candidate content package and convert the remaining links into alternative descriptions or subsequent introductions. If a platform does not support rich text format, it can downgrade the original content with a hierarchical structure to plain text paragraphs for output.

[0034] In this invention, the content orchestration engine 130 does not need to generate only a single content package, but can generate multiple candidate content packages for the same publishing goal. These candidate content packages can differ in text length, link retention strategy, emphasis, call to action wording, and compliance language. Subsequently, the system can determine the final content package to be published from the multiple candidate content packages based on preset strategies, risk scores, historical performance, approval requirements, or manual selection results.

[0035] See Figure 5 Before a content package enters the actual publishing stage, the publishing governance engine 140 performs pre-publishing verification on candidate content packages. This pre-publishing verification may include length verification, field capability verification, link validity verification, link quantity verification, activity time verification, content consistency verification, sensitive expression verification, account qualification verification, duplicate publishing verification, and display simulation verification. For content packages requiring approval, the publishing governance engine 140 can also verify whether the approval status meets the publishing conditions.

[0036] From the perspective of the correspondence between the steps in the method claims Figure 5This mainly corresponds to step S105. That is, in step S105, the system does not simply perform a single format check, but sequentially performs length verification, field capability verification, link and compliance verification, display simulation, duplicate detection, and approval status determination on the candidate content package. If any verification fails, the system returns a correction suggestion or triggers a regeneration process; if all verifications pass, the candidate content package enters the synchronous execution phase. Therefore, Figure 5 The illustrated process provides detailed implementation support for "performing pre-release constraint verification on the platform-adapted content package" in the method claims.

[0037] Among them, length verification is used to determine whether the content of each field in the candidate content package exceeds the length limit allowed by the target platform or target region; field capability verification is used to determine whether the current content package uses field types or formats that are not supported by the target platform, such as not supporting list symbols, not supporting line breaks, not supporting external links, or not supporting specific tags; link validity verification is used to check whether the referenced links are valid, whether they belong to allowed domains, or whether they need to be converted to a platform-approved format; and activity time verification is used to determine whether the start and end time of the activity matches the current publication time, thereby avoiding the incorrect publication of expired content.

[0038] The simulation verification is used to predict the display results of the content package on the target platform before release. Specifically, the system can simulate the display rules in the platform's capability profile to determine the truncation position of fields, line break method, link display format, and whether the disclaimer is fully retained. If the simulation results show that key descriptions are truncated or the main link is not displayed, the system can mark the candidate content package as unqualified and send it back to the content orchestration engine 130 for regeneration.

[0039] See Figure 6 Once a candidate content package passes verification and meets the approval criteria, the synchronous execution component 150 submits the content package to the target content area of ​​the target online platform 170. The synchronous execution component 150 can submit the content package through platform open interfaces, automated page methods, or manual assistance interfaces. In this invention, regardless of the submission method used, the synchronous execution component 150 receives content packages that have already undergone semantic orchestration and verification. Therefore, the execution layer primarily undertakes the functions of "submission" and "readback," and no longer assumes the core responsibilities of content selection or content governance.

[0040] The synchronous execution component 150 can maintain a release state machine 600. The release state machine 600 can include at least the following states: pending generation, pending verification, pending approval, pending release, released, pending readback, completed, downgraded release, rollback, and error. For each state transition, the system can record the triggering condition, occurrence time, processing object, content package version, and reason information. Through this state machine, the system can distinguish between content generation failure, verification failure, approval incomplete, platform submission failure, and platform display anomalies, thus providing a basis for subsequent processing.

[0041] After content publication, the synchronous execution component 150 can read back the actual displayed content from the target online platform 170 and compare the read-back content with the published content package. If the platform automatically deletes special characters, shortens the link display text, or adjusts line breaks, but does not affect the core semantics, the system can mark the difference as an acceptable difference; if the platform deletes the main link, truncates key rights statements, or omits required disclosure content, the system can determine that the publication result is unacceptable and further trigger retry, alternative content package publication, downgrade publication, or rollback processing.

[0042] Source chain management is a crucial component of this invention. For each generated or published content package, the system can record its corresponding source content version, semantic node set, target platform, target account, publishing target, platform capability profile version, account constraint profile version, publishing strategy version, verification result, approval record, and readback result. Thus, when the source content changes, the system can quickly identify the affected content package and related target platforms; when a platform experiences a publishing anomaly, the system can also trace the source, generation basis, and version relationships of the content on that platform.

[0043] Version chain management can be implemented in conjunction with source chain management. For the same target content area on the same platform, the system can record historical release versions in chronological order. When a new content package fails to be released or the readback result is unacceptable, the system can select the most recently verified and acceptable historical content package from the version chain to perform a rollback. For event termination scenarios, the system can also automatically restore the regular pre-event description content or publish a preset event termination description based on the version chain.

[0044] See Figure 7The feedback optimization engine 160 can update subsequent content generation strategies based on publishing results, readback differences, platform review feedback, manual modification records, and historical performance data. Specifically, if a platform repeatedly rejects content packages containing specific expressions, the system can increase the risk level of the corresponding expressions; if an account consistently has a low pass rate for long text content but a high pass rate for short text content on a platform, the system can increase the priority of short text candidate packages; if readback results show that a platform has added support for a certain field or a second link area, the platform capability profile 300 can be updated accordingly to utilize the new capabilities in subsequent content arrangement.

[0045] From the perspective of methodology and steps Figure 7 This corresponds to step S107. In other words, after the content synchronization and rereading are completed, the system does not end directly. Instead, it summarizes and analyzes the publishing results, rereading differences, review feedback, and manual revision information, and updates the platform capability profile 300, account constraint profile 400, sensitive expression replacement rules, candidate content package scoring rules, or template parameters accordingly to form a closed-loop optimization support for subsequent synchronization tasks.

[0046] In some embodiments of the present invention, the content orchestration engine 130 may combine template rules, statistical models, or natural language generation models to generate candidate content packages. However, regardless of the generation method used, the semantic content graph 200 and the publishing strategy should serve as the binding basis; that is, the generated content must not deviate from the facts of the source content, must not add unconfirmed goods, rights, time commitments, or links, and must not delete required disclosures. By performing pre-publishing verification after generation, it can be further ensured that the candidate content packages meet the requirements of the target platform.

[0047] In some embodiments of the present invention, the system supports batch synchronization across multiple platforms. A single publishing task can correspond to multiple platforms, multiple accounts, and multiple content regions. The system can generate content packages independently for different targets, or process multiple targets in parallel while sharing the same semantic content graph and some strategy evaluation results. If publishing on a high-priority platform fails, the system can suspend publishing on other platforms according to a preset strategy, or continue executing publishing tasks on other platforms if an anomaly is recorded.

[0048] In some embodiments of this invention, the system supports differentiated synchronization. Differentialized synchronization refers to allowing different platforms to use expressions of different lengths, structures, and tones, while ensuring consistency in core semantic facts. For example, short video platforms can emphasize the activity name, entry guidance, and deadline; membership platforms can emphasize the benefits and scope of application; and e-commerce platforms can emphasize product bundles and after-sales instructions. The system can ensure through consistency verification that there are no conflicts between content packages on different platforms regarding activity names, main links, deadlines, and core benefits.

[0049] In some embodiments of the present invention, the system can also handle scenarios of automatic content expiration and automatic withdrawal. When a time node in the semantic content graph reaches the expiration condition, the publishing governance engine 140 can automatically generate a withdrawn content package, a downgraded content package, or a restorative content package, and the synchronous execution component 150 can replace the expired promotional content with a regular description, thereby preventing expired activities from remaining on some platforms for a long time.

[0050] In some embodiments of the present invention, the system can provide human collaboration capabilities. Human operators can view the source relationships, hit strategies, risk warnings, and simulation results of candidate content packages, and approve, reject, or modify them. If a content package is modified manually, the system can re-perform semantic analysis and pre-publication verification on the modified content to avoid field overruns, omissions in disclosure, or inconsistencies between different platforms caused by manual modifications.

[0051] The following describes the application of the present invention in several practical application scenarios.

[0052] Application Scenario 1: Creators updating event entry points and wishlist information across platforms. For creators who simultaneously manage a live streaming platform homepage, a membership platform profile page, and a social media profile page, it's typically necessary to simultaneously update the event name, main promotion link, event deadline, and supplementary information at the start of an event. With this invention, the system can uniformly parse event information, wishlist links, and fan descriptions into a semantic content graph, and generate adapted content packages for the short introduction area on the live streaming platform, the benefits description area on the membership platform, and the profile area on the social media platform. This eliminates the need for creators to manually rewrite multiple sets of text, ensuring that the content displayed on different platforms conforms to their respective length and link limitations while maintaining consistency in the core event facts.

[0053] Application Scenario 2: Brands synchronize promotional information across multiple e-commerce and social media channels. When conducting limited-time promotions, brands often need to simultaneously update promotional periods, applicable products, discount conditions, and disclaimers on product detail pages, brand homepages, social media promotional pages, and member notification pages. This invention allows the system to obtain source content from brand activity management systems, product management systems, and coupon systems. After constructing a semantic content graph, it generates different content packages for the e-commerce platform detail description area, the brand homepage announcement area, and the social media short copy area. Before publication, it automatically verifies the discount period, link validity, and the completeness of the disclaimer, thereby reducing the risk of complaints due to inconsistencies in information across multiple platforms.

[0054] Application Scenario 3: Centralized Management of Multiple Account Profile Pages for Institutional Operations Teams. For MCN agencies, third-party operation teams, or chain brand headquarters, it's often necessary to maintain profiles, activity entry points, and service descriptions for multiple accounts across multiple platforms simultaneously. Due to differences in account levels, authentication statuses, and available content areas, traditional uniform copying methods are difficult to adapt. With this invention, the system can create an account constraint profile for each account and generate differentiated content packages for different accounts based on the same source content. It then tracks the published versions of each account uniformly through source chain management. When headquarters adjusts activity rules or disclosure requirements, the system can quickly locate all affected accounts and update them in batches.

[0055] Those skilled in the art should understand that the above embodiments are merely preferred embodiments of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, or combinations made to the above embodiments within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A cross-platform content orchestration and synchronization method based on semantic intent constraints, characterized in that, include: Receive source content and the publishing target corresponding to the source content; parse the source content and construct a semantic content graph; Obtain a profile of the target online platform's capabilities and a profile of the target account's account constraints; Based on the semantic content graph, the platform capability profile, the account constraint profile, and the publishing strategy, at least one platform-adapted content package is generated; pre-publishing constraint verification is performed on the platform-adapted content package; If the verification is successful, the platform-adapted content package is synchronized to the target content area of ​​the target online platform; and the source relationship between the platform-adapted content package and the source content, the publishing target, the pre-publishing constraint verification result, and the synchronization result is recorded.

2. The method according to claim 1, characterized in that, The semantic content graph includes one or more of the following: subject node, activity node, product node, link node, audience node, time node, rights node, media node, and risk attribute node. The nodes in the semantic content graph are associated through one or more semantic relationships such as belonging to an activity, pointing to a product, targeting an audience, being restricted by a region, being a summary of the original text, inheriting disclosure obligations, and being published to a target region.

3. The method according to claim 1, characterized in that, The platform capability profile includes one or more of the following: field type, field length limit, rich text capability, link quantity limit, link format limit, media support capability, review rules, display rules, submission mechanism, and readback method.

4. The method according to claim 1, characterized in that, The account constraint profile includes one or more of the following: account level, authentication status, geographical restrictions, language preference, available content area, allowed content types, posting frequency restrictions, approval requirements, and historical posting performance.

5. The method according to claim 1, characterized in that, The step of generating at least one platform-adapted content package based on the semantic content graph, the platform capability profile, the account constraint profile, and the publishing strategy includes: selecting content fragments from the semantic content graph according to the publishing target; mapping the content fragments to fields corresponding to the target content region; and performing one or more of the following processing on the content fragments according to the platform capability profile and the account constraint profile: summarizing, rearranging, translating, localizing, link replacement, rewriting sensitive expressions, downgrading format, removing expired information, and generating supplementary explanations.

6. The method according to claim 1, characterized in that, The pre-release constraint verification includes one or more of the following: length verification, field capability verification, link validity verification, link quantity verification, activity time verification, content consistency verification, sensitive expression verification, account qualification verification, duplicate content verification, and display simulation verification.

7. The method according to claim 1, characterized in that, Also includes: Generate multiple candidate platform-compatible content packages for the same release target; Based on one or more of the following factors—verification score, strategy priority, risk level, historical release performance, and manual approval results—the content package to be synchronized is determined from the multiple candidate platform-compatible content packages.

8. The method according to claim 1, characterized in that, Also includes: After synchronization is complete, read back the actual content displayed on the target online platform; Compare the actual displayed content with the platform-adapted content package; When field truncation, automatic platform rewriting, old content residue, partial submission, or missing content that must be disclosed are detected, one or more of the following actions will be taken: retrying the release, releasing an alternative content package, downgrading the release, issuing an alert, or rolling back.

9. A cross-platform content orchestration and synchronization system based on semantic intent constraints, characterized in that, include: The content management module is used to receive or provide source content and publishing targets; The semantic parsing module is used to parse the source content and construct a semantic content graph; The profile management module is used to maintain the platform capability profile corresponding to the target online platform and the account constraint profile corresponding to the target account. The content orchestration module is used to generate platform-adapted content packages based on the publishing target, the semantic content graph, the platform capability profile, the account constraint profile, and the publishing strategy. The release governance module is used to perform pre-release constraint verification and release strategy judgment on the platform-adapted content package; the synchronization execution module is used to synchronize the verified platform-adapted content package to the target content area of ​​the target online platform and perform a readback; and the source chain management module is used to record the source relationship between the platform-adapted content package and the source content, release target, verification result, approval record, synchronization result and readback result.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 8.

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