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CN-122027813-A - Live broadcast content dynamic guiding method and system based on audience behavior patterns

CN122027813ACN 122027813 ACN122027813 ACN 122027813ACN-122027813-A

Abstract

The application relates to a live broadcast content dynamic guiding method and a live broadcast content dynamic guiding system based on audience behavior patterns, which relate to the technical field of Internet and comprise the steps of collecting detection text and interaction information; generating a fluctuation curve based on the interaction information, identifying a text type from a detected text, combining the text type with a preset reference type to obtain a mark type, calling the reference fluctuation curve according to the mark type, comparing the consistency condition of the fluctuation curve and the reference fluctuation curve to obtain a future fluctuation curve, combining the interaction information to call the maximum interaction information, calling an output time point from the future fluctuation curve, obtaining an interaction picture according to the maximum interaction information and the fluctuation curve, combining the interaction picture and the mark type to obtain an interaction instruction, switching the interaction picture, and outputting the interaction instruction at the output time point. The application has the effect of improving the accuracy of live interaction.

Inventors

  • SU JIANJUN

Assignees

  • 杭州艺览云网络科技有限公司

Dates

Publication Date
20260512
Application Date
20260116

Claims (10)

  1. 1. The live content dynamic broadcasting guiding method based on the audience behavior pattern is characterized by comprising the following steps of: s10, collecting detection text and interaction information; s11, generating a fluctuation curve based on the interaction information; s12, identifying the text type from the detected text; s13, combining the text type and a preset reference type to obtain a mark type; S14, calling a reference fluctuation curve according to the mark type; S15, comparing the consistent condition of the fluctuation curve and the reference fluctuation curve to obtain a future fluctuation curve, and combining the interaction information to call the maximum interaction information; s16, calling an output time point from the future fluctuation curve; s17, obtaining an interaction picture according to the maximum interaction information and the fluctuation curve; and S18, combining the interactive picture and the mark type to obtain an interactive instruction, switching the interactive picture and outputting the interactive instruction at an output time point.
  2. 2. The method for dynamically guiding live content based on a viewer behavior pattern according to claim 1, wherein the method for obtaining the interaction instruction comprises: s20, obtaining an associated text type through an interactive picture; S21, comparing the consistent condition of the text type and the associated text type and combining the detection picture to obtain future text information; S22, collecting the text quantity of the associated text type; s23, comparing the exceeding condition of the number of texts and the preset reference text number and combining the mark types to obtain a detection instruction; s24, fusing the detection instruction and the future text information to form an interaction instruction.
  3. 3. The method for dynamically guiding live content based on a viewer behavior pattern according to claim 1, wherein the checking method of the interaction information comprises: s30, responding to the check signal to acquire touch points, image detection information, historical operation information and detection picture types; S31, identifying the number of viewers and the viewing direction according to the image detection information and the mark type; S32, obtaining a touch range based on the touch point and the mark type; s33, when the number of the watched people is 1, obtaining a reference operation habit according to the historical operation information; S34, combining the viewing direction and the touch range to obtain a detection operation habit; And S35, comparing the consistency of the detection operation habit and the reference operation habit, and combining the detection picture types to update the interaction information.
  4. 4. The method for dynamically guiding live content based on a viewer behavior pattern according to claim 3, wherein the checking method of the interactive information further comprises: s40, comparing the detected operation habit with the reference operation habit to obtain a reference interaction type according to the historical operation information and the reference type; S41, comparing the consistent condition of the detected picture type and the reference interaction type to obtain a detection instruction duration; S42, calling the operation duration ratio of the reference interaction type from the historical operation information; s43, combining the operation duration ratio with the detection instruction duration to obtain the maximum operation duration; s44, updating the interaction information according to the maximum operation duration and the historical operation information.
  5. 5. The method for dynamically guiding live content based on a viewer behavior pattern according to claim 3, wherein the checking method of the interactive information further comprises: s50, when the number of the watched people exceeds 1 person, combining the mark type and the historical operation information to obtain mark operation information; s51, obtaining a detection type based on the marking operation information and the reference type; s52, collecting sound detection information of a time period in which the marking operation information is located; s53, generating sound output texts through sound detection information, and identifying selected texts from the sound output texts; S54, combining the detection type and the selected text to obtain a selected type; s55, comparing the consistency of the selected type and the reference interaction type and combining the number of people watched with the sound detection information to obtain the selected person; S56, updating the interaction information according to the selected person and the selected type.
  6. 6. The method for dynamically guiding live content based on a viewer behavior pattern as recited in claim 5, wherein the method for updating the interaction information comprises: S60, collecting detection states according to the reference interaction type; s61, comparing the detection state with the preset interaction state and combining the reference interaction type to obtain a similar interaction type; s62, pushing the similar interaction type or the reference interaction type, and updating the touch range; S63, comparing the consistency condition of the touch range and a preset pushing range to update interaction information or collect pushing duration; And S64, combining the push duration, the push range and the detection picture type to update the interaction information.
  7. 7. The method for dynamically directing live content based on a viewer behavior profile as recited in claim 6, wherein the method for updating the interaction information further comprises: s70, calling a detection image picture with push time length from the detection picture type; s71, combining the detected image picture, the reference interaction type and the similar interaction type to obtain an interaction image; s72, obtaining an interactive image range according to the detected image picture and the interactive image; s73, comparing the overlapping condition of the interactive image range and the pushing range to obtain a pushing shielding state; S74, obtaining a reference pushing duration according to the pushing shielding state and the reference operation habit; and S75, comparing the push time length with the exceeding condition of the reference push time length to update the interaction information.
  8. 8. The method for dynamically directing the broadcasting of live content based on a behavior pattern of a viewer as recited in claim 7, further comprising: s80, collecting the altitude; S81, updating the altitude based on the push time; S82, updating the altitude before and after to obtain an altitude change value; S83, obtaining a touch pressure change value according to the touch range and the pushing range; S84, combining the altitude, the altitude change value and the touch pressure change value to update interaction information.
  9. 9. The method for dynamically directing the broadcasting of live content based on a behavior pattern of a viewer as recited in claim 8, further comprising: s90, obtaining a historical use posture through altitude, pushing duration and reference operation habit; S91, updating the historical use posture based on the altitude change value; s92, calling a reference pressure change interval from the historical use posture; and S93, comparing the exceeding condition of the touch pressure change value and the reference pressure change interval to update the interaction information.
  10. 10. A live content dynamic director system based on a viewer behavior pattern, comprising: the acquisition module is used for acquiring the detection text and the interaction information; A memory for storing a program for implementing the viewer behavior profile-based live content dynamic targeting method according to any one of claims 1 to 9; and the processor is used for loading and executing the programs stored in the memory.

Description

Live broadcast content dynamic guiding method and system based on audience behavior patterns Technical Field The invention relates to the technical field of Internet, in particular to a live content dynamic guiding method and system based on a viewer behavior map. Background The network live broadcast is an interactive medium form for realizing real-time production, transmission and reception of audio and video contents based on high-speed internet and streaming media technology. In the process of network live broadcasting, a live broadcasting room needs to interact with audience in the live broadcasting room, in the background of the live broadcasting room, broadcasting guide personnel subjectively judge the live broadcasting atmosphere and audience state by monitoring real-time data panels (such as the number of on-line people, the total amount of gifts and the barrage rolling speed) and combining personal experience, so as to manually execute live broadcasting interaction operation, including switching main pictures among multi-channel camera signals, inserting pre-prepared video clips or image-text advertisements at specific time points, manually initiating lottery or voting activities, adjusting background music or special effects in the live broadcasting room and the like. In the interaction process of network live broadcast, a real-time data panel needs to be monitored for a long time manually, and when attention is not concentrated manually, the opportunity of interaction emotion of audience is easily missed, so that the accuracy of live broadcast interaction is reduced. Disclosure of Invention In order to improve accuracy of live interaction, the invention provides a live content dynamic guiding method and system based on a viewer behavior pattern. In a first aspect, the present invention provides a live content dynamic guiding method based on a viewer behavior spectrum, which adopts the following technical scheme: A live content dynamic guiding method based on audience behavior patterns comprises the following steps: s10, collecting detection text and interaction information; s11, generating a fluctuation curve based on the interaction information; s12, identifying the text type from the detected text; s13, combining the text type and a preset reference type to obtain a mark type; S14, calling a reference fluctuation curve according to the mark type; S15, comparing the consistent condition of the fluctuation curve and the reference fluctuation curve to obtain a future fluctuation curve, and combining the interaction information to call the maximum interaction information; s16, calling an output time point from the future fluctuation curve; s17, obtaining an interaction picture according to the maximum interaction information and the fluctuation curve; and S18, combining the interactive picture and the mark type to obtain an interactive instruction, switching the interactive picture and outputting the interactive instruction at an output time point. Through adopting above-mentioned technical scheme, through analyzing detection text and mutual information in order to obtain interactive instruction and interactive picture to switch with interactive picture and export interactive instruction with the output time point, thereby can replace the manual work in order to carry out picture adjustment and instruction output to the spectator in the live broadcasting room, can carry out the interaction with each spectator in live broadcasting room in real time when realizing live broadcasting individuation, reduce the manual work and appear the condition that attention is not concentrated and miss the opportunity to spectator interaction emotion in order to improve accuracy and timeliness of live broadcasting interaction. Optionally, the method for obtaining the interaction instruction includes: s20, obtaining an associated text type through an interactive picture; S21, comparing the consistent condition of the text type and the associated text type and combining the detection picture to obtain future text information; S22, collecting the text quantity of the associated text type; s23, comparing the exceeding condition of the number of texts and the preset reference text number and combining the mark types to obtain a detection instruction; s24, fusing the detection instruction and the future text information to form an interaction instruction. By adopting the technical scheme, the text type, the associated text type and the mark type are analyzed to obtain the interaction instruction, so that the optimal interaction instruction output by the data of the audience can be focused in real time, and the relevance of live interaction is improved. Optionally, the checking method of the interaction information includes: s30, responding to the check signal to acquire touch points, image detection information, historical operation information and detection picture types; S31, identifying the number of viewers and the v