Dynamic splicing and accurate delivery method for short play content based on user behavior characteristics

Abstract

The invention discloses a user behavior characteristic-based short play content dynamic splicing and accurate delivery method, which relates to the technical field of dynamic delivery, and comprises the following steps of: screening candidate plot segments conforming to a splicing skeleton from a plot segment library according to a session strategy decision packet, sequentially splicing the candidate plot segments in a splicing contract library according to an allowable connection relationship, a connection cost level and hard constraints, inserting bridging segments when needed, generating a piece of materials and a delivery identifier, determining a budget rhythm control strategy based on a budget allocation rule of a delivery platform, and sending the budget rhythm control strategy to the delivery platform. According to the piece materials and the delivery identification, the delivery multiplying power is updated in a fixed time slice according to a budget rhythm control strategy, and a time slice delivery instruction is generated; according to the method, the delivery multiplying power is dynamically adjusted, the delivery strength can be adjusted in real time according to the budget consumption rhythm and the content commercial value at the same time, and therefore the mode that in an existing method, resource allocation is conducted only according to the fixed budget proportion or the unified delivery multiplying power is changed.

Description

Technical Field

[0001] This invention relates to the field of dynamic delivery technology, and in particular to a method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics. Background Technology

[0002] In recent years, with the rapid development of mobile internet and short video platforms, short dramas have gradually become an important form of digital content dissemination. Compared to traditional long-form video content, short dramas are characterized by their fast pace, concentrated plots, and high dissemination efficiency, enabling them to attract user attention and achieve content dissemination and commercial conversion in a shorter period. To enhance the exposure efficiency and commercial value of short drama content, relevant platforms typically promote short drama materials through information flow recommendations, advertising, and content distribution strategies. In existing methods, short drama placement usually uses complete video materials or fixed-edit materials as the basic unit, recommending and placing content based on user profiles, interest tags, and click-through rate prediction models. Simultaneously, budget control strategies are used to allocate advertising resources, thereby improving the dissemination effect and commercial conversion capabilities of short drama content.

[0003] However, there is still room for improvement in existing delivery methods. For example, existing short drama content delivery technologies mostly use fixed budget ratios or uniform delivery multipliers for resource allocation in terms of budget control, lacking a mechanism for dynamic adjustment based on content attributes and real-time delivery effects. This can easily lead to unstable budget consumption and insufficient exposure of high-value content, thereby affecting the efficiency of short drama content dissemination and commercial conversion. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics to solve the problems of unstable budget consumption rhythm and insufficient exposure of high-value content.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics, which includes: The short drama is broken down into multiple plot segments, and marketing attributes and narrative connections are written into each plot segment to build a plot segment library and a splicing contract library. When a user plays a short drama, the session policy state is determined based on session behavior events, and a splicing skeleton and hard constraints are generated to form a session policy decision package. Based on the conversation strategy decision package, candidate plot fragments that match the splicing skeleton are selected from the plot fragment library. The candidate plot fragments are then sequentially spliced ​​in the splicing contract library according to the allowed connection relationship, connection cost level and hard constraints. Bridging fragments are inserted when necessary to generate finished product materials and placement marks. Based on the budget allocation rules of the advertising platform, a budget rhythm control strategy is determined, and the advertising multiplier is updated within a fixed time slot according to the budget rhythm control strategy based on the finished product materials and advertising identifiers, thereby generating time slot advertising instructions. Based on the time-slice delivery instructions, the finished product materials are delivered to the designated traffic slots to achieve dynamic splicing and precise delivery of short drama content.

[0007] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, the marketing attributes include attribute information used to express the degree of attraction of the plot segment to users and its commercial conversion ability. The attribute information includes at least one of the following: intensity of the thrill point, intensity of the plot twist, intensity of information completion, intensity of plot conflict, and compatibility with paid triggers. The narrative connection relationships include permissible connections between plot segments and bridging connections.

[0008] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, the construction of the plot segment library and splicing contract library specifically includes: Record marketing attributes for each story segment to create a story segment library; The system reads a collection of plot fragments from the plot fragment library and performs matching calculations on the feasibility of connecting plot fragments according to preset narrative continuity rules, generating permissible connection relationships and bridging connection relationships between plot fragments. Based on the allowed connection relationships and bridging connection relationships, the corresponding plot segments are labeled with connection cost levels and the bridging segment requirements are recorded. The plot segment identifiers, connection relationships, connection cost levels, and bridging segment requirements are structured and stored together to form a splicing contract library.

[0009] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, wherein: determining the session strategy state specifically includes: Obtain the sequence of user conversational behavior events during the short drama playback process; Based on the sequence of conversational behavior events, rule matching calculations are performed on user viewing behavior to generate content preference status, plot pacing demand status, and commercial conversion tendency status. The conversation strategy state is determined based on the content preference state, the plot pacing requirement state, and the commercial conversion tendency state.

[0010] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, wherein: the generation of the splicing skeleton specifically includes: Determine the corresponding delivery strategy type based on the session strategy status; Match the corresponding story structure template from the preset splicing template set according to the delivery strategy type; The matched plot structure template is used as the splicing skeleton.

[0011] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, the connection cost level is evaluated and divided according to the continuity of the plot, the consistency of the character relationships, and the coherence of the scenes between plot segments, and is used to determine the priority when splicing plot segments in sequence.

[0012] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, the step of inserting bridging segments when needed to generate finished product materials and delivery identifiers specifically includes: Based on the splicing skeleton, the corresponding set of candidate plot fragments is extracted from the plot fragment library. The allowed connection relationship, connection cost level and bridging connection relationship between the candidate plot fragments are read from the splicing contract library. The candidate plot fragments are then spliced ​​sequentially. When a bridging relationship is determined to exist, the corresponding bridging segment is retrieved from the plot segment library based on the bridging relationship and inserted into the candidate plot segment sequence to form a splicing sequence; If no bridging relationship is determined, the candidate plot segments are directly spliced ​​sequentially to generate a splicing sequence, and the final video material is generated based on the splicing sequence, along with the corresponding delivery identifier.

[0013] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, wherein: the determination of the budget pacing control strategy specifically includes: Obtain the budget allocation rules of the advertising platform for the current advertising period; Calculate the time slice budget share corresponding to each time slice according to the budget allocation rules to form a budget allocation sequence; The time slot delivery priority is determined based on the budget allocation sequence and the delivery identifier corresponding to the finished product material, and a budget rhythm control strategy is generated.

[0014] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, wherein: the generation of time-slice delivery instructions specifically includes: At the start of a fixed time slot, the time slot budget share in the budget pacing control strategy is read, and the initial delivery multiplier is determined based on the delivery identifier corresponding to the finished product material. Within a fixed time slot, continuously track the actual spending on finished product materials and user interaction data, and calculate the budget execution progress based on the actual spending and time slot budget share. By assigning weights to clicks, complete views, shares, and unlocks in user interaction data, and then weighting the user interaction data based on these weights, a commercial value score for the finished product material is generated. The initial ad spend ratio is updated based on the budget execution progress and the commercial value score of the finished product materials, generating an updated ad spend ratio; Based on the updated delivery multiplier, determine the delivery priority, delivery budget, and frequency control limit of the finished product creative in the current time slot, and obtain the time slot delivery instruction.

[0015] As a preferred embodiment of the method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics described in this invention, wherein: determining the initial delivery multiplier based on the delivery identifier corresponding to the finished product material specifically involves: Read the targeting identifiers corresponding to the finished video materials and extract the plot appeal tags, commercial conversion tags, and content type tags from the targeting identifiers to form a set of targeting features; Based on the set of delivery features, the corresponding delivery multiplier benchmark value is matched in the set of preset delivery multiplier mapping rules, and the delivery multiplier benchmark value is calibrated in a graded manner to generate the initial delivery multiplier. The initial delivery multiplier is linked and registered with the time slot budget share and time slot delivery priority to form an initial delivery multiplier parameter record.

[0016] The beneficial effects of this invention are as follows: By constructing a budget rhythm control strategy and dynamically adjusting the placement multiplier within a fixed time frame based on the budget execution progress and the commercial value score of the finished product material, the placement intensity can be adjusted in real time according to both the budget consumption rhythm and the commercial value of the content. This changes the existing method of allocating resources solely according to a fixed budget ratio or a uniform placement multiplier. On this basis, the budget consumption process becomes more stable, and the exposure opportunities for content with higher commercial value are prioritized, thereby improving the dissemination efficiency and commercial conversion capability of short drama content. Ultimately, this achieves the effect of precise placement and optimized placement effect of short drama content while ensuring the efficiency of budget utilization. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a method for dynamically splicing and precisely targeting short drama content based on user behavior characteristics.

[0019] Figure 2 A flowchart for building a library of story fragments and a library of spliced ​​contracts.

[0020] Figure 3 A flowchart for generating finished product footage and displaying logos.

[0021] Figure 4 A flowchart for generating time slice delivery instructions. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides a method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics, including the following steps: S1: Divide the short drama into multiple plot segments and write marketing attributes and narrative connection relationships into each plot segment to build a plot segment library and a splicing contract library.

[0026] S1.1: The short drama videos are divided into continuous segments according to the timeline. Each continuous video segment is recorded as a plot fragment. Each plot fragment includes continuous images, dialogue content, and scene information. A unique plot fragment identifier is established for each plot fragment.

[0027] For each plot segment, plot content features are extracted and marketing attributes are recorded. Marketing attributes include the intensity of the thrill, the intensity of the plot twist, the intensity of information completion, the intensity of plot conflict, and the suitability for triggering payment. The intensity of the thrill is marked based on the occurrence of emotional climax scenes in the plot segment. The intensity of the plot twist is marked based on the plot turning point events in the plot segment. The intensity of information completion is marked based on the degree of explanation of the background of the preceding and following plot in the plot segment. The intensity of plot conflict is marked based on the scenes of conflict or confrontation between characters in the plot segment. The suitability for triggering payment is marked based on whether the plot segment contains key plot revelations or a suspenseful ending. The plot segment identifiers are associated with the corresponding marketing attributes to form a plot segment library.

[0028] S1.2: Read the entire collection of plot fragments from the plot fragment library and match and judge the plot connection relationship between any two plot fragments according to the preset narrative continuity rules. The preset narrative continuity rules are set according to the short drama script structure information and scene annotation information. The preset narrative continuity rules include the plot time sequence consistency rule, the character relationship continuation rule, and the scene logic coherence rule. The plot time sequence consistency rule is used to determine whether the order of two plot fragments on the plot timeline is continuous. The character relationship continuation rule is used to determine whether the relationship between the main characters in two plot fragments is consistent or whether there is a clear transition relationship. The scene logic coherence rule is used to determine whether the scene type, location information, and plot development between two plot fragments are logically connected. Generate the allowed connection relationship between plot fragments according to the plot time sequence consistency rule, the character relationship continuation rule, and the scene logic coherence rule. When there are any cases where the plot time sequence consistency rule, the character relationship continuation rule, and the scene logic coherence rule are not satisfied, generate the bridging connection relationship between plot fragments.

[0029] For each pair of plot segments with permissible or bridging relationships, a connection cost level is assigned. The connection cost level is divided based on the time interval between the two plot segments, changes in the main characters, and scene transitions: Low connection cost level: When two plot segments are directly adjacent on the plot timeline, the main characters remain the same, and the scene location identifiers are identical; Medium connection cost level: When two plot segments have one plot segment interval on the plot timeline, or the main characters or scene location identifiers change; High connection cost level: When two plot segments have two or more plot segment intervals on the plot timeline, and the main characters and scene location identifiers change. Simultaneously, bridging segment requirement information is recorded, and plot segment identifiers, permissible connections, bridging relationships, connection cost levels, and bridging segment requirements are uniformly structured and stored together to form a splicing contract library.

[0030] S2: When a user is playing a short drama, the session policy state is determined based on session behavior events, and a splicing skeleton and hard constraints are generated to form a session policy decision package.

[0031] S2.1: Record the sequence of conversational behavior events generated by the user on the short drama playback interface during the user's playback. The sequence of conversational behavior events is saved in the order of occurrence of the user's playback behavior information. The sequence of conversational behavior events includes playback start behavior, pause behavior, resume playback behavior, fast forward behavior, rewind behavior, exit playback behavior, click interaction behavior, share behavior, and paid unlock behavior. Each conversational behavior event record corresponds to the plot segment identifier and the time and position of the behavior occurrence.

[0032] User viewing behavior is processed by rule matching based on the sequence of conversational behavior events. A preset behavior rule table is used to compare and analyze each sequence of conversational behavior events. This table is set based on short drama playback interaction records and plot segment playback records, including rules for playback dwell time, fast-forwarding behavior, replay behavior, exiting playback behavior, and interactive behavior. The playback dwell time rule is used to determine the completion rate of a plot segment based on its start and end times and to mark the completion status. The fast-forwarding behavior rule is used to identify the time position where the user skipped a plot segment based on playback progress skipping records and to mark the skipped status. The replay behavior rule is used to identify the time position where the user rewatched a plot segment based on playback progress rewinding records and to mark the rewatched status. The exiting playback behavior rule is used to identify the time position where the user left the plot segment based on the exiting playback time and to mark the interrupted status. The interactive behavior rule is used to identify user interactive behavior based on click interaction records, sharing records, and paid unlock records and to mark the interactive behavior type. Based on the rule matching results, content preference status, plot pacing demand status, and commercial conversion tendency status are generated respectively.

[0033] S2.2: Based on the content preference state, plot pacing requirement state, and commercial conversion tendency state, a combination matching is performed to generate a conversation strategy state. The combination matching process is handled by a preset strategy combination table, which records the correspondence between the content preference state, plot pacing requirement state, and commercial conversion tendency state. The content preference state is used to identify plot segment type preference information, the plot pacing requirement state is used to identify plot playback pacing requirement information, and the commercial conversion tendency state is used to identify commercial conversion requirement information corresponding to paid unlocking behavior and interactive behavior. The conversation strategy state is determined by retrieving the combination records corresponding to the content preference state, plot pacing requirement state, and commercial conversion tendency state from the preset strategy combination table.

[0034] The corresponding delivery strategy type is determined based on the conversation strategy state: Matching is performed using a pre-defined delivery strategy mapping table, which records the correspondence between content preference type, plot pacing type, and commercial conversion tendency type and the delivery strategy type. The matching process is as follows: Content preference type, plot pacing type, and commercial conversion tendency type are read from the conversation strategy state. These three types are then searched in the pre-defined delivery strategy mapping table for mapping records that simultaneously meet the conditions of content preference type, plot pacing type, and commercial conversion tendency type. These mapping records contain delivery strategy type information. When a unique mapping record is found, the delivery strategy type in the mapping record is determined as the corresponding delivery strategy type. If multiple matching mapping records exist, the delivery strategy type is selected according to a predefined priority rule. The predefined priority rule prioritizes the plot attraction enhancement strategy, plot pacing acceleration strategy, and commercial conversion enhancement strategy in that order, thereby generating a unique delivery strategy type corresponding to the conversation strategy state.

[0035] To further explain, the priority rules are set in the order of plot attraction enhancement strategy, plot pacing acceleration strategy, and commercial conversion enhancement strategy. This is because short drama content needs to first enhance user engagement and viewing interest through plot attraction enhancement strategy during information flow distribution. After users have formed the intention to watch, the plot pacing acceleration strategy is used to speed up the plot progression to maintain viewing continuity. After users have completed a certain amount of plot viewing, the commercial conversion enhancement strategy is used to guide paid unlocking or conversion behavior. This ensures that the dissemination process of short drama content conforms to the progressive pattern of user viewing behavior and improves the efficiency of content dissemination and commercial conversion effect.

[0036] Based on the delivery strategy type, template matching is performed in the preset splicing template set. The preset splicing template set contains multiple plot structure templates. Each plot structure template consists of multiple plot segment position sequences. The plot structure templates are stored in correspondence with the delivery strategy type. Based on the delivery strategy type, the corresponding plot structure template is read from the preset splicing template set and used as the splicing skeleton.

[0037] S2.3: Based on the session strategy state and the splicing skeleton, generate hard constraints. Hard constraints are used to limit the mandatory conditions in the process of candidate plot segment selection and splicing sequence generation. Hard constraints include at least one of the following constraints: playback plot segment exclusion constraint, plot segment position adaptation constraint, splicing sequence duration constraint, payment trigger restriction constraint, and plot continuity constraint. Among them, the playback plot segment exclusion constraint is used to exclude plot segments that have reached the preset viewing completion condition in the current session from the candidate plot segment set; the plot segment position adaptation constraint is used to limit the matching relationship between the marketing attributes of the plot segment and the corresponding position of the splicing skeleton; the splicing sequence duration constraint is used to limit the total duration of the splicing sequence to not exceed the preset duration threshold; the payment trigger restriction constraint is used to limit the plot segments with the payment trigger adaptation label to participate in splicing only when the commercial conversion tendency state meets the preset condition; and the plot continuity constraint is used to limit the adjacent plot segments to meet the preset narrative continuity requirements or to transition through bridging segments. The session strategy state, splicing skeleton, and hard constraints are associated and encapsulated to form a session strategy decision package.

[0038] S3: Based on the conversation strategy decision package, select candidate plot fragments that match the splicing skeleton from the plot fragment library. Then, in the splicing contract library, sequentially splice the candidate plot fragments according to the allowed connection relationship, connection cost level, and hard constraints. Insert bridging fragments when necessary to generate finished product materials and placement identifiers.

[0039] Based on the splicing skeleton in the conversation strategy decision package, a set of candidate plot fragments is extracted from the plot fragment library. The set of candidate plot fragments is then constrained and validated according to the hard constraints in the conversation strategy decision package, resulting in a set of candidate plot fragments that meet the hard constraints. The candidate plot fragment set includes all plot fragments that meet the splicing skeleton requirements, and each plot fragment contains a plot fragment identifier and recorded marketing attributes. The permissible connection relationships, connection cost levels, and bridging connection relationships between candidate plot fragments are read from the splicing contract library. Candidate plot fragments that meet the hard constraints are arranged segment by segment according to the splicing skeleton order. The priority splicing order of each candidate plot fragment in the sequence is determined based on the permissible connection relationships and connection cost levels. The connection cost level is divided based on the continuity of plot time, the maintenance of main character relationships, and the coherence of scene identifiers between plot fragments. A low connection cost level indicates continuous plot time, consistent main character set, and consistent scene identifier; a medium connection cost level indicates a plot time interval, a change in the main character set, or a change in the scene identifier; and a high connection cost level indicates a plot time interval of two or more segments, and changes in both the main character set and the scene identifier.

[0040] During the sequential arrangement of candidate plot segments, it is determined whether there is a bridging relationship. For plot segment pairs with bridging relationships, the corresponding bridging segment is retrieved from the plot segment library and inserted into the designated position in the candidate plot segment sequence according to the bridging relationship, forming a complete splicing sequence. For plot segment pairs without bridging relationships, the splicing sequence is generated directly according to the order of the candidate plot segments. Based on the splicing sequence, the plot segment identifiers and corresponding marketing attributes are combined sequentially to form the final product material, and corresponding placement identifiers are generated. The placement identifiers include the short drama identifier to which the final product material belongs, the corresponding splicing skeleton type, whether the final product material contains bridging segments, the applicable placement frequency control level, content type tags, plot appeal tags, and commercial conversion tags.

[0041] S4: Determine the budget rhythm control strategy based on the budget allocation rules of the advertising platform, and update the advertising multiplier within a fixed time slot according to the budget rhythm control strategy based on the finished product materials and advertising identifiers, and generate time slot advertising instructions.

[0042] S4.1: Read the budget allocation rules published by the advertising platform within the current advertising period. These rules include the start and end times of the advertising period, and the total budget for the advertising period. The start and end times are determined based on the planned placement time of the short drama ad on the advertising platform. The total budget is determined by the advertising budget pre-set by the platform for the current short drama ad. The advertising period is divided into multiple fixed time slots based on the start and end times, each corresponding to a specific time interval (e.g., every five minutes). The budget share for each time slot is allocated based on the total budget and the number of fixed time slots. In other words, the total budget is divided according to the number of fixed time slots, ensuring that each fixed time slot corresponds to an available budget. The budget allocation sequence is formed according to time order. The budget share of the corresponding time slot is read according to the budget allocation sequence, and priority matching is performed by combining the content type tag, plot attraction tag and commercial conversion tag in the corresponding ad placement tag of the finished product material. When the ad placement tag contains the commercial conversion tag, the corresponding time slot ad placement priority is marked as the first priority. When the ad placement tag contains the plot attraction tag but does not contain the commercial conversion tag, the corresponding time slot ad placement priority is marked as the second priority. When the ad placement tag only contains the content type tag, the corresponding time slot ad placement priority is marked as the third priority. The budget rhythm control strategy is determined by the time slot budget share and the time slot ad placement priority. The ad placement rhythm control is achieved by combining fixed time slot budget allocation with priority control. Compared with the method of ad placement of materials according to a fixed ad placement ratio, it can ensure that the budget is consumed stably in the order of time slots within the ad placement cycle.

[0043] To further explain, the first, second, and third priorities are based on the commercial conversion and content appeal of the finished product footage during the short drama release process. Finished product footage with commercial conversion tags usually corresponds to paid unlocking episodes or key plot points, contributing the most to commercial conversion, and is therefore set as the first priority. Finished product footage with plot appeal tags usually contains plot climaxes or plot conflicts, which can significantly increase user dwell time and viewing completion rate, and is therefore set as the second priority. Finished product footage with only content type tags mainly serves to connect the plot or supplement information, and has the least impact on commercial conversion, and is therefore set as the third priority. By prioritizing these categories, we can ensure that content with higher commercial value receives more exposure opportunities during budget and pacing control.

[0044] S4.2: At the start of a fixed time slot, read the time slot budget share and time slot placement priority from the budget pacing control strategy, and read the placement identifier corresponding to the finished product material. Based on the placement identifier, extract the plot appeal tag, commercial conversion tag, and content type tag to form a placement feature set. Based on the placement feature set, retrieve the corresponding placement multiplier benchmark value from the preset placement multiplier mapping rule set. The preset placement multiplier mapping rule set records the mapping relationship between the placement feature set and the placement multiplier benchmark value: the placement feature set containing the commercial conversion tag corresponds to a placement multiplier benchmark value of 1.5, the placement feature set containing the plot appeal tag corresponds to a placement multiplier benchmark value of 1.2, and the placement feature set containing only the content type tag corresponds to a placement multiplier benchmark value of 1.0.

[0045] To further clarify, the specific values ​​for the ad placement multiplier benchmark are set based on the historical statistics of short drama ad placements, which show the percentage increase in user conversion rates for different content types. Statistical analysis of finished product materials containing commercial conversion tags revealed that content with paid unlocking scenes or strong conversion scenes, compared to ordinary plot content, resulted in an average increase of approximately 50% in paid conversions; therefore, the corresponding ad placement multiplier benchmark is set at 1.5. Statistical analysis of finished product materials containing plot appeal tags revealed that segments with plot climaxes or strong plot conflicts, compared to ordinary plot content, resulted in an average increase of approximately 20% in click-through rate and completion rate; therefore, the corresponding ad placement multiplier benchmark is set at 1.2. Finished product materials containing only content type tags primarily serve to connect plot points or supplement information; historical statistics show that their increase in click-through rate, completion rate, and unlocking rate is close to the baseline level; therefore, the corresponding ad placement multiplier benchmark is set at 1.0. These values ​​are determined based on actual user behavior statistics to ensure that the ad placement multiplier benchmark is consistent with the actual commercial conversion capabilities of different types of plot content, thereby guaranteeing the rationality of ad placement weight allocation.

[0046] The ad placement multiplier benchmark is calibrated in stages based on the budget priority range of the time slot budget share. When the time slot budget share is in the first priority range of the budget allocation sequence, the ad placement multiplier benchmark remains unchanged. When the time slot budget share is in the second priority range of the budget allocation sequence, the ad placement multiplier benchmark is multiplied by the first calibration coefficient to generate the initial ad placement multiplier. When the time slot budget share is in the third priority range of the budget allocation sequence, the ad placement multiplier benchmark is multiplied by the second calibration coefficient to generate the initial ad placement multiplier. The initial ad placement multiplier is then associated with the time slot budget share and the time slot ad placement priority to form an initial ad placement multiplier parameter record. The ad placement multiplier determination method driven by ad placement identifiers achieves linkage control between the commercial value of the finished product materials and the budget rhythm. Compared with the ad placement control method based on a uniform multiplier, it can prioritize finished product materials with commercial conversion tags to receive higher ad placement weight under the condition of fixed budget.

[0047] To further clarify, the first and second calibration coefficients are set based on historical budget consumption data from the advertising platform and the results of short drama content placement tests. Through statistical analysis of budget consumption over multiple placement periods, when the benchmark multiplier is reduced by approximately 10% in the second priority range, the budget consumption rate and the distribution of time-slot budget shares remain largely consistent. Therefore, the first calibration coefficient is preferably set at 0.9. When reduced by approximately 20% in the third priority range, the budget consumption rate of low-commercial-value content is significantly slowed down, ensuring that more budget is allocated to high-priority content. Therefore, the second calibration coefficient is preferably set at 0.8, which ensures stable exposure for high-commercial-conversion content while maintaining consistency between the budget consumption rhythm and the time-slot budget allocation within the placement period.

[0048] S4.3: During the fixed-time segment execution, continuously record the actual spending on the final product trailer and user interaction data. User interaction data includes click records, completion records, sharing records, and unlocking records. Calculate the budget execution progress based on the ratio of actual spending to the time segment budget share. Budget execution progress represents the proportion of actual spending to the time segment budget share. Assign behavior weights based on click, completion, sharing, and unlocking records in the user interaction data, and perform weighted statistics on the user interaction data based on these weights to obtain the commercial value score of the final product trailer, expressed as: ; in, This indicates the commercial value score of the finished film footage. This indicates the number of click records. This indicates the weight of the click behavior. This indicates the number of records of completed broadcasts. Indicates the weight of the completion of the broadcast. Indicates the number of sharing activity records. Indicates the weight of sharing behavior. Indicates the number of unlocking behavior records. This indicates the weight of the unlocking behavior.

[0049] It should also be noted that the behavioral weights are set according to the contribution of different user interaction behaviors to the commercial conversion results. Unlocking behavior records directly correspond to paid behavior, so they are given the highest weight, with an optimal value of 0.4; completing the broadcast behavior records indicate that users watch the entire plot content and have a high level of content appreciation, so they are given the second highest weight, with an optimal value of 0.3; clicking behavior records indicate that users are interested in the finished material and enter the viewing process, so they are given a medium weight, with an optimal value of 0.2; sharing behavior records indicate that users have the intention to spread the plot content but do not directly generate paid behavior, so they are given a basic weight, with an optimal value of 0.1. Through the weight settings, the comprehensive impact of user interest behavior, content appreciation behavior, and paid conversion behavior can be reflected in the commercial value score.

[0050] S4.4: Adjust the initial ad spend ratio based on budget execution progress and the commercial value score of the finished product materials. When the budget execution progress is below 0.5 and the commercial value score of the finished product materials is above 0.6, multiply the initial ad spend ratio by the first adjustment factor to generate an updated ad spend ratio. When the budget execution progress is above 0.8 and the commercial value score of the finished product materials is below 0.4, multiply the initial ad spend ratio by the second adjustment factor to generate an updated ad spend ratio. In all other cases, keep the initial ad spend ratio unchanged. By adjusting the ad spend ratio in conjunction with budget execution progress and commercial value score, real-time linkage control between budget pace and user interaction behavior is achieved. Compared to adjusting the ad spend ratio solely based on budget execution progress, this approach simultaneously considers the impact of user interaction behavior on conversion rates.

[0051] To further clarify, the thresholds of 0.5, 0.8, 0.6, and 0.4 were determined based on historical data statistics of short drama content placement. Statistical analysis of budget consumption ratios and user interaction data across multiple placement cycles revealed that when the budget execution progress was around 0.5, the corresponding time slot budget consumption rate was significantly slower. When the budget execution progress reached around 0.8, the budget consumption was already close to the upper limit of the time slot budget share. Therefore, 0.5 and 0.8 were used as thresholds for judging budget execution progress, respectively. Statistical analysis of the distribution of commercial value scores for finished product materials showed that content with a commercial value score above 0.6 typically corresponds to higher unlock and completion rates, while content with a commercial value score below 0.4 corresponds to lower click and share rates. Therefore, 0.6 and 0.4 were used as thresholds for judging commercial value scores, respectively. The first multiplier adjustment factor of 1.2 and the second multiplier adjustment factor of 0.8 are set based on the statistical results of the changes in the proportion of click behavior records, completion behavior records and unlock behavior records under different ad intensity in the historical ad data of the ad platform. The multiplier adjustment range of about 20% has shown a stable budget rhythm control effect in multiple ad tests.

[0052] Based on the updated ad spend ratio, the budget allocation and ad spend priority of the corresponding time slot in the budget rhythm control strategy are read. The allowable ad spend amount within the current time slot is determined based on the time slot budget allocation. The ad spend intensity level of the finished product in the current time slot is determined based on the updated ad spend ratio. The ad spend order position of the finished product in the current time slot is determined based on the ad spend priority. The ad spend frequency control level corresponding to the ad spend identifier is read to obtain the frequency control limit. A time slot ad spend instruction is generated by combining the time slot budget allocation, updated ad spend ratio, time slot ad spend priority, and frequency control limit. The time slot ad spend instruction records the time slot budget allocation parameter, ad spend ratio parameter, ad spend priority parameter, and frequency control limit parameter. The maximum number of times the finished product is displayed in the current time slot is limited based on the frequency control limit. Budget consumption is controlled by the time slot budget allocation, ad spend order is controlled by the ad spend priority, ad spend intensity is controlled by the ad spend ratio, and the number of displays is controlled by the frequency control limit, forming a complete time slot ad spend instruction. This achieves coordinated control between budget rhythm control, commercial value priority ad spend, and frequency control constraints within the ad spend cycle.

[0053] Preferably, compared with existing methods of controlling ad placement according to a fixed ratio or uniform multiplier, this invention divides the ad placement cycle into fixed time slots through budget allocation rules, and constructs a budget rhythm control strategy based on the budget share of each time slot and the placement priority. This ensures that the budget consumption process is stably allocated in chronological order, avoiding the problem of concentrated budget consumption in the early stages of ad placement. Simultaneously, by extracting a set of ad placement features through ad placement identifiers and establishing a mapping relationship between ad placement multipliers, a corresponding relationship is established between the commercial conversion capability of finished ad content and its placement weight. Under fixed budget conditions, the exposure intensity of high-commercial-value ad content is prioritized. Furthermore, a commercial value score is calculated through user interaction behavior data, and the ad placement multiplier is dynamically adjusted in conjunction with the budget execution progress. This creates a linkage mechanism between budget rhythm control and real user interaction feedback, improving the placement efficiency of high-conversion content while ensuring stable budget consumption. Frequency control constraints limit the number of impressions, thereby achieving synergistic optimization between budget control, content value identification, and ad placement intensity adjustment.

[0054] S5: Executes the delivery of finished product materials in the designated traffic slot according to the time-slice delivery instructions, realizing dynamic splicing and precise delivery of short drama content.

[0055] The system reads the time-slice budget, multiplier, priority, and frequency control limit parameters according to the time-slice delivery instructions, and associates and registers the finished product materials with the corresponding delivery identifiers. It sorts the finished product materials in the designated traffic slots according to the priority parameters, placing the first-priority finished product materials at the beginning of the display sequence, the second-priority materials in the middle, and the third-priority materials at the end. It determines the display frequency of the finished product materials in the current time slice based on the multiplier parameter and controls the allowable delivery budget within the current time slice based on the time-slice budget parameter. During the display of finished product materials, it continuously counts the number of times the finished product materials are displayed and compares this number with the frequency control limit. When the number of displays reaches the frequency control limit, it stops displaying the corresponding finished product materials in the current time slice. At the end of the current time slice, it stops delivery and waits for the next time slice delivery instruction. By executing the display of finished product materials in the designated traffic slots according to the time-slice delivery instructions, it achieves dynamic splicing and precise traffic allocation of short drama content.

[0056] This embodiment also provides a computer device applicable to the method of dynamic splicing and precise delivery of short drama content based on user behavior characteristics, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the method of dynamic splicing and precise delivery of short drama content based on user behavior characteristics proposed in the above embodiment. The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0057] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the method for dynamically splicing and accurately delivering short drama content based on user behavior characteristics, as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0058] In summary, this invention constructs a budget pacing control strategy and dynamically adjusts the ad placement multiplier within fixed time slots based on budget execution progress and the commercial value score of the finished product material. This allows for real-time adjustment of ad placement intensity based on both budget consumption pace and content commercial value, thus changing the existing method of allocating resources solely according to a fixed budget ratio or uniform ad placement multiplier. Furthermore, it makes the budget consumption process more stable and prioritizes exposure opportunities for content with higher commercial value, thereby improving the dissemination efficiency and commercial conversion capabilities of short drama content. Ultimately, it achieves the effect of precise ad placement and optimized ad placement results while ensuring efficient budget utilization.

[0059] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics, characterized by: include, The short drama is broken down into multiple plot segments, and marketing attributes and narrative connections are written into each plot segment to build a plot segment library and a splicing contract library. When a user plays a short drama, the session policy state is determined based on session behavior events, and a splicing skeleton and hard constraints are generated to form a session policy decision package. Based on the conversation strategy decision package, candidate plot fragments that match the splicing skeleton are selected from the plot fragment library. The candidate plot fragments are then sequentially spliced ​​in the splicing contract library according to the allowed connection relationship, connection cost level and hard constraints. Bridging fragments are inserted when necessary to generate finished product materials and placement marks. Based on the budget allocation rules of the advertising platform, a budget rhythm control strategy is determined, and the advertising multiplier is updated within a fixed time slot according to the budget rhythm control strategy based on the finished product materials and advertising identifiers, thereby generating time slot advertising instructions. Based on the time-slice delivery instructions, the finished product materials are delivered to the designated traffic slots to achieve dynamic splicing and precise delivery of short drama content.

2. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The marketing attributes include attribute information used to demonstrate the appeal of the storyline segments to users and their commercial conversion capabilities; The attribute information includes at least one of the following: intensity of the thrill point, intensity of the plot twist, intensity of information completion, intensity of plot conflict, and compatibility with paid triggers. The narrative connection relationships include permissible connections between plot segments and bridging connections.

3. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The construction of the plot fragment library and the splicing contract library specifically involves: Record marketing attributes for each story segment to create a story segment library; The system reads a collection of plot fragments from the plot fragment library and performs matching calculations on the feasibility of connecting plot fragments according to preset narrative continuity rules, generating permissible connection relationships and bridging connection relationships between plot fragments. Based on the allowed connection relationships and bridging connection relationships, the corresponding plot segments are labeled with connection cost levels and the bridging segment requirements are recorded. The plot segment identifiers, connection relationships, connection cost levels, and bridging segment requirements are structured and stored together to form a splicing contract library.

4. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The determination of the session policy state specifically involves: Obtain the sequence of user conversational behavior events during the short drama playback process; Based on the sequence of conversational behavior events, rule matching calculations are performed on user viewing behavior to generate content preference status, plot pacing demand status, and commercial conversion tendency status. The conversation strategy state is determined based on the content preference state, the plot pacing requirement state, and the commercial conversion tendency state.

5. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The generation of the splicing skeleton specifically involves: Determine the corresponding delivery strategy type based on the session strategy status; Match the corresponding story structure template from the preset splicing template set according to the delivery strategy type; The matched plot structure template is used as the splicing skeleton.

6. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The connection cost level is assessed and classified based on the continuity of the plot, the consistency of the character relationships, and the coherence of the scenes between plot segments, and is used to determine the priority when splicing plot segments in sequence.

7. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The process of inserting bridging segments when needed to generate finished footage and placement identifiers specifically involves: Based on the splicing skeleton, the corresponding set of candidate plot fragments is extracted from the plot fragment library. The allowed connection relationship, connection cost level and bridging connection relationship between the candidate plot fragments are read from the splicing contract library. The candidate plot fragments are then spliced ​​sequentially. When a bridging relationship is determined to exist, the corresponding bridging segment is retrieved from the plot segment library based on the bridging relationship and inserted into the candidate plot segment sequence to form a splicing sequence; If no bridging relationship is determined, the candidate plot segments are directly spliced ​​sequentially to generate a splicing sequence, and the final video material is generated based on the splicing sequence, along with the corresponding delivery identifier.

8. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The specific strategy for determining the budget pacing control is as follows: Obtain the budget allocation rules of the advertising platform for the current advertising period; Calculate the time slice budget share corresponding to each time slice according to the budget allocation rules to form a budget allocation sequence; The time slot delivery priority is determined based on the budget allocation sequence and the delivery identifier corresponding to the finished product material, and a budget rhythm control strategy is generated.

9. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 1, characterized in that: The specific instructions for generating time slice delivery are as follows: At the start of a fixed time slot, the time slot budget share in the budget pacing control strategy is read, and the initial delivery multiplier is determined based on the delivery identifier corresponding to the finished product material. Within a fixed time slot, continuously track the actual spending on finished product materials and user interaction data, and calculate the budget execution progress based on the actual spending and time slot budget share. By assigning weights to clicks, complete views, shares, and unlocks in user interaction data, and then weighting the user interaction data based on these weights, a commercial value score for the finished product material is generated. The initial ad spend ratio is updated based on the budget execution progress and the commercial value score of the finished product materials, generating an updated ad spend ratio; Based on the updated delivery multiplier, determine the delivery priority, delivery budget, and frequency control limit of the finished product creative in the current time slot, and obtain the time slot delivery instruction.

10. The method for dynamic splicing and precise delivery of short drama content based on user behavior characteristics as described in claim 9, characterized in that: The initial placement multiplier is determined based on the placement identifier corresponding to the finished product material, specifically as follows: Read the targeting identifiers corresponding to the finished video materials and extract the plot appeal tags, commercial conversion tags, and content type tags from the targeting identifiers to form a set of targeting features; Based on the set of delivery features, the corresponding delivery multiplier benchmark value is matched in the set of preset delivery multiplier mapping rules, and the delivery multiplier benchmark value is calibrated in a graded manner to generate the initial delivery multiplier. The initial delivery multiplier is linked and registered with the time slot budget share and time slot delivery priority to form an initial delivery multiplier parameter record.

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