CN117033800A - Intelligent interaction method and system for visual cloud exhibition system - Google Patents
Intelligent interaction method and system for visual cloud exhibition system Download PDFInfo
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Abstract
The application discloses an intelligent interaction method and system of a visual on-cloud exhibition system, which relate to the technical field of the on-cloud exhibition system and are characterized by comprising the following steps: basic state information of a visitor visiting a single exhibit on a cloud exhibition system is obtained, and condition information of the visitor reading the exhibit text introduction is obtained; the method comprises the steps that basic state information of a visitor visiting a single exhibit in a cloud exhibition system and status information of the visitor reading the exhibit text introduction are processed and analyzed in a combined mode to obtain an interest value; the interest value comprises a visit value and a learning value, and the effect is to judge whether the visitor is interested in the cloud exhibition system visit exhibit according to the condition that the visitor visits the exhibition system at the cloud.
Description
Technical Field
The application relates to the technical field of cloud exhibition systems, in particular to an intelligent interaction method and system for a visual cloud exhibition system.
Background
The exhibition is a large-scale activity for comprehensively utilizing various media and means, promoting products, promoting enterprise images and establishing good public relations, the construction of the exhibition must put a great deal of effort to collect resources and prepare materials required by the exhibition, and attention is paid to the holding time and the holding place, so that the method is time-consuming and labor-consuming, and along with the high-speed development of information technology, the application of digitization to various industries is an unavoidable trend. At present, the existing on-cloud exhibition uploads the pictures and the introduction of the exhibits to the Internet, and a user can watch the exhibits through network equipment, however, the intelligent interaction method of the existing visual on-cloud exhibition system cannot acquire the basic state information of a visitor visiting a single exhibit in the on-cloud exhibition system, namely, the basic state information of the visitor visiting the single exhibit in the on-cloud exhibition system cannot be analyzed, so that whether the visitor is interested in the exhibit or not is judged, namely, the intelligent interaction method is inconvenient to push other exhibits to the visitor through the on-cloud exhibition system.
Disclosure of Invention
Aiming at the defects existing in the prior art, the application aims to provide an intelligent interaction method and system for a visual on-cloud exhibition system.
In order to achieve the above purpose, the present application provides the following technical solutions:
an intelligent interaction method of a visual on-cloud exhibition system, which comprises the following steps:
basic state information of a visitor visiting a single exhibit on a cloud exhibition system is obtained, and condition information of the visitor reading the exhibit text introduction is obtained;
the method comprises the steps that basic state information of a visitor visiting a single exhibit in a cloud exhibition system and status information of the visitor reading the exhibit text introduction are processed and analyzed in a combined mode to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a visitor visiting a single exhibit in the cloud exhibition system and is used for representing the interest of the visitor in the single exhibit in the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing status information of the visitor reading exhibit text introduction and is used for representing the learning condition of the visitor;
recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
according to the knowledge of the visitors about the exhibit introduction information, asking questions to the visitors through the on-cloud exhibition system, and obtaining answer information of the visitors for replying questions of the on-cloud exhibition system at the moment;
and processing, analyzing and judging the knowledge degree of the visitor on the exhibit.
Preferably, the basic state information includes browsing duration information and browsing times information;
taking and marking the browsing duration information to obtain a browsing duration value LLS;
and taking the browsing times information and marking the browsing times information to obtain a browsing times value LLC.
Preferably by a first processing functionCalculating to obtain a visit value CGZ; wherein a1 and a2 are influencing factors and are greater than zero;
comparing the visit value CGZ with preset visit thresholds [ P1, P2 ]:
if the visit value CGZ is less than or equal to a preset visit threshold value P1, the visitor is disliked for the exhibit;
if the preset visit threshold value P1 is smaller than the visit value CGZ and smaller than or equal to the preset visit threshold value P2, the like degree of the visitors on the exhibits is generally described;
if the visit value CGZ > the preset visit threshold P2, the visitor is shown to prefer the exhibit.
Preferably, the status information of the visitor reading the exhibit text introduction includes total duration information of the visitor reading the exhibit text introduction, frequency information of the visitor reading the exhibit text introduction and fluency information of the visitor reading the exhibit text introduction;
the total duration information introduced by the visitor reading the exhibit text is valued and marked to obtain a reading duration value DQS;
the reading times information of the introduction of the visitor reading the exhibit text is valued and marked to obtain a reading times value DQC;
and (3) taking the value and marking the fluency information of the introduction of the reading exhibit words of the visitor to obtain a reading fluency value DQL.
Preferably by a second processing functionCalculating to obtain a learning value XXZ; wherein b1, b2 and b3 are influencing factors and are greater than zero;
comparing the learning value XXZ with a preset learning threshold value [ Q1, Q2 ]:
if the learning value XXZ is less than or equal to a preset learning threshold value Q1, the knowledge of the visitor on the exhibit introduction information is poor;
if the preset learning threshold value Q1 is smaller than the learning value XXZ and smaller than or equal to the preset learning threshold value Q2, the knowledge of visitors on the exhibit introduction information is generally described;
if the preset learning threshold Q2 is smaller than the learning value XXZ, the knowledge of the visitors on the exhibit introduction information is better.
Preferably, according to the knowledge of the visitors about the exhibit introduction information, the on-cloud exhibition system is used for asking questions to the visitors, specifically:
when the visitor knows the exhibit introduction information well, the cloud exhibition system asks questions to the visitor.
Preferably, the answer information of the visitor reply cloud exhibition system questioning comprises the answer accurate information of the visitor reply cloud exhibition system questioning and the duration information of the visitor reply cloud exhibition system questioning;
the visitor replies the accurate answer information of the exhibition system question on the cloud with values and marks to obtain an accurate value ZQZ;
the method comprises the steps of (1) carrying out value marking on time length information of a visitor replying to a question of an exhibition system on the cloud to obtain a replying time length value HFS;
by a third processing functionCalculating to obtain a familiarity value SXZ; wherein c1 and c2 are influencing factors and are greater than zero;
the familiarity value SXZ is compared with a preset familiarity threshold a:
if the familiarity value SXZ is less than or equal to a preset familiarity threshold value A, the knowledge degree of the visitor on the exhibited item is qualified;
if the familiarity value SXZ > the preset familiarity threshold A, the knowledge of the visitor about the exhibit is not acceptable.
Preferably by a joint functionCalculating to obtain an interest value XQZ; wherein d1 and d2 are influencing factors and are greater than zero.
Preferably, the interest value XQZ is compared with a preset interest threshold B:
if the interest value XQZ is less than or equal to a preset interest threshold B, other exhibits are not recommended to the visitor on the cloud exhibition system;
if the interest value XQZ > the preset interest threshold B, other exhibits are recommended to the visitor on the cloud exhibition system.
An intelligent interaction system for a visual on-cloud display system, comprising:
the data acquisition module is used for acquiring basic state information of a visitor for visiting a single exhibit in the cloud exhibition system and acquiring state information of the visitor for reading the introduction of the exhibit text;
the processing analysis module is used for carrying out joint processing analysis on the basic state information of a visitor visiting a single exhibit in the cloud exhibition system and the state information of the visitor reading the exhibit text introduction to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a visitor visiting a single exhibit in the cloud exhibition system and is used for representing the interest of the visitor in the single exhibit in the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing status information of the visitor reading exhibit text introduction and is used for representing the learning condition of the visitor;
the recommending module is used for recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
the judging module is used for judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
the questioning module is used for questioning the visitors through the on-cloud exhibition system according to the knowledge of the visitors on the exhibit introduction information, and obtaining answer information of the visitors replying to the questioning of the on-cloud exhibition system at the moment;
and the judgment and analysis module processes and analyzes the answer information to judge the knowledge degree of the visitor on the exhibited article.
Compared with the prior art, the application has the following beneficial effects:
according to the condition that a visitor visits the exhibition system on the cloud, whether the visitor is interested in the exhibition system on the cloud is judged, if the visitor is interested in the exhibition system on the cloud, other exhibits are continuously recommended to the visitor on the cloud, and if the visitor is not interested in the exhibition system on the cloud, other exhibits are not continuously recommended to the visitor on the cloud; meanwhile, the application can selectively ask questions to the visitor according to the status information of the visitor reading the character introduction of the exhibits, thereby judging whether the visitor grasps the relevant information of the exhibits.
Drawings
Fig. 1 is a schematic flow chart of an intelligent interaction method of a visual on-cloud exhibition system;
fig. 2 is a schematic block diagram of an intelligent interaction system of a visual on-cloud exhibition system according to the present application.
Detailed Description
Reference is made to figures 1 to 2.
Embodiment one: the application provides an intelligent interaction method and system for a visual on-cloud exhibition system.
An intelligent interaction method of a visual on-cloud exhibition system, which comprises the following steps:
basic state information of a visitor visiting a single exhibit on a cloud exhibition system is obtained, and condition information of the visitor reading the exhibit text introduction is obtained;
the method comprises the steps that basic state information of a visitor visiting a single exhibit in a cloud exhibition system and status information of the visitor reading the exhibit text introduction are processed and analyzed in a combined mode to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a single exhibition of a visitor on a cloud exhibition system and used for representing the interest of the visitor in the single exhibition of the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing condition information of the visitor reading the introduction of the exhibition characters and used for representing the learning condition of the visitor;
recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
according to the knowledge of the visitors about the exhibit introduction information, asking questions to the visitors through the on-cloud exhibition system, and obtaining answer information of the visitors for replying questions of the on-cloud exhibition system at the moment;
and processing, analyzing and judging the knowledge degree of the visitor on the exhibit.
According to the condition that the visitor visits the exhibition system on the cloud, whether the visitor is interested in the exhibition system on the cloud is judged, if the visitor is interested in the exhibition system on the cloud, other exhibits are continuously recommended to the visitor on the cloud, and if the visitor is not interested in the exhibition system on the cloud, other exhibits are not continuously recommended to the visitor on the cloud.
Meanwhile, the application can selectively ask questions to the visitor according to the status information of the visitor reading the character introduction of the exhibits, thereby judging whether the visitor grasps the relevant information of the exhibits;
the basic state information comprises browsing duration information and browsing times information;
taking and marking the browsing duration information to obtain a browsing duration value LLS;
and taking the browsing times information and marking the browsing times information to obtain a browsing times value LLC.
It should be noted that when a visitor visits a single exhibit on the cloud exhibition system, the cloud exhibition system can acquire browsing duration information and browsing times information of the visitor visiting the single exhibit on the cloud exhibition system, if the browsing duration of the visitor visiting the single exhibit on the cloud exhibition system is 1 minute, the browsing duration value LLS is 1, and if the browsing duration of the visitor visiting the single exhibit on the cloud exhibition system is 6 minutes, the browsing duration value LLS is 6; if the number of browsing times of the visitor on the cloud exhibition system to visit a single exhibit is 2, the value of the browsing time value LLC is 2, and if the number of browsing times of the visitor on the cloud exhibition system to visit a single exhibit is 8, the value of the browsing time value LLC is 8.
By a first processing functionCalculating to obtain a visit value CGZ; wherein a1 and a2 are influence factors and are greater than zero.
It should be noted that here, the values of a1 and a2 are set to 1, and when the browsing duration value LLS is 1 and the browsing order value LLC is 2, the first processing function is used to obtain the browsing order value LLCCalculating to obtain a visit value CGZ of 3; in the case of a browsing duration value LLS of 6 and a browsing order value LLC of 8, by means of a first processing function +.>The calculated visit value CGZ is 14.
Comparing the visit value CGZ with preset visit thresholds [ P1, P2 ]:
if the visit value CGZ is less than or equal to a preset visit threshold value P1, the visitor is disliked for the exhibit;
if the preset visit threshold value P1 is smaller than the visit value CGZ and smaller than or equal to the preset visit threshold value P2, the like degree of the visitors on the exhibits is generally described;
if the visit value CGZ > the preset visit threshold P2, the visitor is shown to prefer the exhibit.
It should be noted that, here, the value of the preset visit threshold P1 is set to 3, and the value of the preset visit threshold P1 is set to 6; under the condition that the visit value CGZ is 3, the visit value CGZ is less than or equal to a preset visit threshold P1, so that the visitor dislikes the exhibit; under the condition that the visit value CGZ is 5, the preset visit threshold value P1 is smaller than the visit value CGZ and smaller than the preset visit threshold value P2, so that the like degree of the visitor to the exhibited item is indicated to be general; in the case where the visit value CGZ is 12, since the visit value CGZ > the preset visit threshold P2, it is explained that the visitor likes the exhibit very much.
The status information of the visitor reading the exhibit text introduction comprises total duration information of the visitor reading the exhibit text introduction, frequency information of the visitor reading the exhibit text introduction and fluency information of the visitor reading the exhibit text introduction;
the total duration information introduced by the visitor reading the exhibit text is valued and marked to obtain a reading duration value DQS;
the reading times information of the introduction of the visitor reading the exhibit text is valued and marked to obtain a reading times value DQC;
and (3) taking the value and marking the fluency information of the introduction of the reading exhibit words of the visitor to obtain a reading fluency value DQL.
It should be noted that when the on-cloud exhibition system exhibits the exhibited items, characters are added beside the exhibited items for introducing the exhibited items, and the application can obtain the total duration information of the character introduction of the exhibited items read by the visitors, the frequency information of the character introduction of the exhibited items read by the visitors and the fluency information of the character introduction of the exhibited items read by the visitors.
If the total duration of reading the introduction of the exhibit text by the visitor is 10 minutes, the reading duration value DQS is 10; if the total duration of reading the introduction of the exhibit text by the visitor is 6 minutes, the reading duration value DQS takes 6;
if the number of times of reading the exhibit text introduction by the visitor is 3 times, the value of the secondary value DQC is 3, and if the number of times of reading the exhibit text introduction by the visitor is 5 times, the value of the secondary value DQC is 5;
if the visitor reads the exhibit text introduction and the jam occurs, the value of the fluency value DQL is 0, and if the visitor does not occur the jam when reading the exhibit text introduction, the value of the fluency value DQL is 10.
By a second processing functionCalculating to obtain a learning value XXZ; wherein b1, b2 and b3 are influencing factors and are greater than zero.
It should be noted that b1, b2 and b3 are all set to 1, and the second processing function is used to read the value of the duration DQS to 10, the value of the secondary value DQC to 3 and the value of the fluent value DQL to 0Calculating to obtain a learning value XXZ of 13; in the case that the value of the duration DQS is 6, the value of the secondary value DQC is 5 and the value of the fluent value DQL is 10, the method uses a second processing functionThe learning value XXZ is calculated to be 21.
Comparing the learning value XXZ with a preset learning threshold value [ Q1, Q2 ]:
if the learning value XXZ is less than or equal to a preset learning threshold value Q1, the knowledge of the visitor on the exhibit introduction information is poor;
if the preset learning threshold value Q1 is smaller than the learning value XXZ and smaller than or equal to the preset learning threshold value Q2, the knowledge of visitors on the exhibit introduction information is generally described;
if the preset learning threshold Q2 is smaller than the learning value XXZ, the knowledge of the visitors on the exhibit introduction information is better.
It should be noted that, here, the preset learning threshold Q1 is set to 8, the preset learning threshold Q2 is set to 13, and in the case that the learning value XXZ is 6, since the learning value XXZ < the preset learning threshold Q1, it is explained that the knowledge of the visitor about the exhibit introduction information is poor; when the learning value XXZ is 10, the preset learning threshold value Q1 is smaller than the learning value XXZ and smaller than or equal to the preset learning threshold value Q2, which indicates that the visitor knows the exhibit introduction information generally, and when the learning value XXZ is 16, the preset learning threshold value Q2 is smaller than the learning value XXZ, which indicates that the visitor knows the exhibit introduction information better.
By joint functionCalculating to obtain an interest value XQZ; wherein d1 and d2 are influencing factors and are greater than zero.
Comparing the interest value XQZ with a preset interest threshold B:
if the interest value XQZ is less than or equal to a preset interest threshold B, other exhibits are not recommended to the visitor on the cloud exhibition system;
if the interest value XQZ > the preset interest threshold B, other exhibits are recommended to the visitor on the cloud exhibition system.
It should be noted that here, the values of d1 and d2 are set to 1, and when the visit value CGZ is 3 and the learning value XXZ is 6, the combination function is usedCalculating to obtain an interest value XQZ as 9; in the case of a visit value CGZ of 14 and a learning value XXZ of 21, the combination function is used +.>The interest value XQZ is calculated to be 35.
Setting the preset interest threshold value B to 30, and under the condition that the interest value XQZ is 9, recommending other exhibits to visitors on the cloud exhibition system because the interest value XQZ is smaller than the preset interest threshold value B; in the case where the interest value XQZ is 35, since the interest value XQZ > the preset interest threshold B, other exhibits are recommended to the visitor on the cloud exhibition system.
An intelligent interaction system for a visual on-cloud display system, comprising:
the data acquisition module is used for acquiring basic state information of a visitor for visiting a single exhibit in the cloud exhibition system and acquiring state information of the visitor for reading the introduction of the exhibit text;
the processing analysis module is used for carrying out joint processing analysis on the basic state information of a visitor visiting a single exhibit in the cloud exhibition system and the state information of the visitor reading the exhibit text introduction to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a single exhibition of a visitor on a cloud exhibition system and used for representing the interest of the visitor in the single exhibition of the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing condition information of the visitor reading the introduction of the exhibition characters and used for representing the learning condition of the visitor;
the recommending module is used for recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
the judging module is used for judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
the questioning module is used for questioning the visitors through the on-cloud exhibition system according to the knowledge of the visitors on the exhibit introduction information, and obtaining answer information of the visitors replying to the questioning of the on-cloud exhibition system at the moment;
and the judgment and analysis module processes and analyzes the answer information to judge the knowledge degree of the visitor on the exhibited article.
Embodiment two: the following technical features are added on the basis of the first embodiment:
an intelligent interaction method of a visual on-cloud exhibition system carries out questioning to a visitor through the on-cloud exhibition system according to the knowledge of the visitor on the introduction information of the exhibit, specifically comprising the following steps:
when the visitor knows the exhibit introduction information well, the cloud exhibition system asks questions to the visitor;
the answer information of the visitor replying to the on-cloud exhibition system questioning comprises the answer accurate information of the visitor replying to the on-cloud exhibition system questioning and the duration information of the visitor replying to the on-cloud exhibition system questioning.
It should be noted that the visual on-cloud exhibition system mainly exhibits historical figures, calligraphy and painting and antiques, and simultaneously has the main purpose of being open to the outside through the exhibition study history, so that in order to enable visitors to know historical contents more deeply, when the visitors know the information about the exhibits better, the on-cloud exhibition system asks the visitors, and accordingly the degree of the visitors' knowledge about the history is studied.
When the knowledge of the visitors about the exhibit introduction information is good, asking questions to the visitors through the on-cloud exhibition system, namely, examining knowledge of the visitors about the exhibits through the on-cloud exhibition system, giving questions to the visitors through the on-cloud exhibition system, and then replying answer information of the questions of the on-cloud exhibition system by the visitors, wherein the answer information of the questions of the on-cloud exhibition system replied by the visitors comprises the accurate answer information of the questions of the on-cloud exhibition system replied by the visitors and the duration information of the questions of the on-cloud exhibition system replied by the visitors;
the visitor replies the accurate answer information of the exhibition system question on the cloud with values and marks to obtain an accurate value ZQZ;
and carrying out value marking on the time length information of the visitor replying to the on-cloud exhibition system question to obtain a replying time length value HFS.
It should be noted that, if the answer of the visitor replying to the on-cloud exhibition system question is accurate, the value of the accurate value ZQZ is 0, and if the answer of the visitor replying to the on-cloud exhibition system question is inaccurate, the value of the accurate value ZQZ is 10; and if the duration of the visitor replying to the on-cloud exhibition system question is 30 seconds, the replying duration value HFS is 30, and if the duration of the visitor replying to the on-cloud exhibition system question is 10 seconds, the replying duration value HFS is 10.
By a third processing functionCalculating to obtain a familiarity value SXZ; wherein c1 and c2 are influencing factors and are greater than zero.
It should be noted that, here, the values of c1 and c2 are set to 1, and in the case that the exact value ZQZ is 0 and the recovery time length HFS is 10, the third processing function is used to perform the following stepsCalculating to obtain a familiarity SXZ of 10; in the case that the accurate value ZQZ is 10 and the recovery time length HFS is 30, the method uses a third processing functionThe familiarity SXZ was calculated as 40.
The familiarity value SXZ is compared with a preset familiarity threshold a:
if the familiarity value SXZ is less than or equal to a preset familiarity threshold value A, the knowledge degree of the visitor on the exhibited item is qualified;
if the familiarity value SXZ is greater than the preset familiarity threshold A, the knowledge degree of the visitor on the exhibited item is unqualified;
here, the preset familiarity threshold a is set to 10, and when the familiarity value SXZ is 10, the familiarity value sxz=the preset familiarity threshold a indicates that the degree of knowledge of the exhibited item by the visitor is acceptable, and when the familiarity value SXZ is 40, the familiarity value SXZ > the preset familiarity threshold a indicates that the degree of knowledge of the exhibited item by the visitor is unacceptable.
The above description is only a preferred embodiment of the present application, and the protection scope of the present application is not limited to the above examples, and all technical solutions belonging to the concept of the present application belong to the protection scope of the present application. It should be noted that modifications and adaptations to the present application may occur to one skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.
Claims (10)
1. An intelligent interaction method of a visual on-cloud exhibition system is characterized by comprising the following steps:
basic state information of a visitor visiting a single exhibit on a cloud exhibition system is obtained, and condition information of the visitor reading the exhibit text introduction is obtained;
the method comprises the steps that basic state information of a visitor visiting a single exhibit in a cloud exhibition system and status information of the visitor reading the exhibit text introduction are processed and analyzed in a combined mode to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a visitor visiting a single exhibit in the cloud exhibition system and is used for representing the interest of the visitor in the single exhibit in the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing status information of the visitor reading exhibit text introduction and is used for representing the learning condition of the visitor;
recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
according to the knowledge of the visitors about the exhibit introduction information, asking questions to the visitors through the on-cloud exhibition system, and obtaining answer information of the visitors for replying questions of the on-cloud exhibition system at the moment;
and processing, analyzing and judging the knowledge degree of the visitor on the exhibit.
2. The intelligent interaction method of a visual on-cloud display system according to claim 1, wherein the basic state information comprises browsing duration information and browsing times information;
taking and marking the browsing duration information to obtain a browsing duration value LLS;
and taking the browsing times information and marking the browsing times information to obtain a browsing times value LLC.
3. The method of intelligent interaction for a visual on-cloud display system of claim 2, wherein the first processing function is used toCalculating to obtain a visit value CGZ; wherein a1 and a2 are influencing factors and are greater than zero;
comparing the visit value CGZ with preset visit thresholds [ P1, P2 ]:
if the visit value CGZ is less than or equal to a preset visit threshold value P1, the visitor is disliked for the exhibit;
if the preset visit threshold value P1 is smaller than the visit value CGZ and smaller than or equal to the preset visit threshold value P2, the like degree of the visitors on the exhibits is generally described;
if the visit value CGZ > the preset visit threshold P2, the visitor is shown to prefer the exhibit.
4. The intelligent interaction method of a visual on-cloud display system according to claim 3, wherein the status information of the visitor reading the exhibit text introduction includes total duration information of the visitor reading the exhibit text introduction, frequency information of the visitor reading the exhibit text introduction and fluency information of the visitor reading the exhibit text introduction;
the total duration information introduced by the visitor reading the exhibit text is valued and marked to obtain a reading duration value DQS;
the reading times information of the introduction of the visitor reading the exhibit text is valued and marked to obtain a reading times value DQC;
and (3) taking the value and marking the fluency information of the introduction of the reading exhibit words of the visitor to obtain a reading fluency value DQL.
5. The method of intelligent interaction for a visual on-cloud display system of claim 4, wherein the second processing function is used toCalculating to obtain a learning value XXZ; wherein b1, b2 and b3 are influencing factors and are greater than zero;
comparing the learning value XXZ with a preset learning threshold value [ Q1, Q2 ]:
if the learning value XXZ is less than or equal to a preset learning threshold value Q1, the knowledge of the visitor on the exhibit introduction information is poor;
if the preset learning threshold value Q1 is smaller than the learning value XXZ and smaller than or equal to the preset learning threshold value Q2, the knowledge of visitors on the exhibit introduction information is generally described;
if the preset learning threshold Q2 is smaller than the learning value XXZ, the knowledge of the visitors on the exhibit introduction information is better.
6. The intelligent interaction method of the visual on-cloud display system according to claim 5, wherein the questioning is performed to the visitor through the on-cloud display system according to the knowledge of the visitor about the introduction information of the exhibit, specifically:
when the visitor knows the exhibit introduction information well, the cloud exhibition system asks questions to the visitor.
7. The intelligent interaction method of the visual on-cloud display system according to claim 6, wherein the answer information of the visitor reply on-cloud display system questions comprises the answer accurate information of the visitor reply on-cloud display system questions and the duration information of the visitor reply on-cloud display system questions;
the visitor replies the accurate answer information of the exhibition system question on the cloud with values and marks to obtain an accurate value ZQZ;
the method comprises the steps of (1) carrying out value marking on time length information of a visitor replying to a question of an exhibition system on the cloud to obtain a replying time length value HFS;
by a third processing functionCalculating to obtain a familiarity value SXZ; wherein c1 and c2 are influencing factors and are greater than zero;
the familiarity value SXZ is compared with a preset familiarity threshold a:
if the familiarity value SXZ is less than or equal to a preset familiarity threshold value A, the knowledge degree of the visitor on the exhibited item is qualified;
if the familiarity value SXZ > the preset familiarity threshold A, the knowledge of the visitor about the exhibit is not acceptable.
8. The intelligent interaction method for a visual on-cloud display system according to claim 7, wherein the visual on-cloud display system is realized through a joint functionCalculating to obtain an interest value XQZ; wherein d1 and d2 are influencing factors and are greater than zero.
9. The method of claim 8, wherein the interest value XQZ is compared with a preset interest threshold B:
if the interest value XQZ is less than or equal to a preset interest threshold B, other exhibits are not recommended to the visitor on the cloud exhibition system;
if the interest value XQZ > the preset interest threshold B, other exhibits are recommended to the visitor on the cloud exhibition system.
10. An intelligent interaction system of a visual on-cloud display system, and an intelligent interaction method of the visual on-cloud display system as claimed in claim 1 is applied, comprising:
the data acquisition module is used for acquiring basic state information of a visitor for visiting a single exhibit in the cloud exhibition system and acquiring state information of the visitor for reading the introduction of the exhibit text;
the processing analysis module is used for carrying out joint processing analysis on the basic state information of a visitor visiting a single exhibit in the cloud exhibition system and the state information of the visitor reading the exhibit text introduction to obtain an interest value; the interest value comprises a visit value and a learning value, wherein the visit value is a value which is obtained by processing and analyzing basic state information of a visitor visiting a single exhibit in the cloud exhibition system and is used for representing the interest of the visitor in the single exhibit in the cloud exhibition system, and the learning value is a value which is obtained by processing and analyzing status information of the visitor reading exhibit text introduction and is used for representing the learning condition of the visitor;
the recommending module is used for recommending other exhibits to the visitor on the cloud exhibition system according to the interest value;
the judging module is used for judging the knowledge of the visitor on the exhibit introduction information according to the learning value;
the questioning module is used for questioning the visitors through the on-cloud exhibition system according to the knowledge of the visitors on the exhibit introduction information, and obtaining answer information of the visitors replying to the questioning of the on-cloud exhibition system at the moment;
and the judgment and analysis module processes and analyzes the answer information to judge the knowledge degree of the visitor on the exhibited article.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105989573A (en) * | 2015-02-16 | 2016-10-05 | 上海钧铭商务咨询有限公司 | Method and system for providing exhibition hall guide information based on 360-degree digital panoramic technology |
| CN111415198A (en) * | 2020-03-19 | 2020-07-14 | 桂林电子科技大学 | Visitor behavior preference modeling method based on reverse reinforcement learning |
| CN112799999A (en) * | 2020-12-31 | 2021-05-14 | 中图数字科技(北京)有限公司 | Online reading recommendation method, system and device and computer readable storage medium |
| CN112863407A (en) * | 2020-12-28 | 2021-05-28 | 湖北正显视通科技有限公司 | Intelligent touch splicing screen man-machine interactive system and method |
| CN112862567A (en) * | 2021-02-25 | 2021-05-28 | 华侨大学 | Exhibit recommendation method and system for online exhibition |
| CN113422830A (en) * | 2021-06-23 | 2021-09-21 | 广州智会云科技发展有限公司 | Digital cloud exhibition platform and system |
| CN114155027A (en) * | 2021-12-01 | 2022-03-08 | 广州智会云科技发展有限公司 | Enterprise customer acquisition management system |
| CN114168644A (en) * | 2021-12-16 | 2022-03-11 | 上海友阅信息技术有限公司 | Interaction method, equipment and system for exhibition scene |
| CN114357344A (en) * | 2021-12-10 | 2022-04-15 | 德马吉国际展览有限公司 | Interactive visual cloud exhibition system and method based on Internet technology |
| CN114707034A (en) * | 2022-04-21 | 2022-07-05 | 佩齐睿鸿文化科技(武汉)有限公司 | Intelligent exhibition management system for intelligent exhibition hall based on VR visual technology |
| CN114967925A (en) * | 2022-05-27 | 2022-08-30 | 杭州师范大学 | Use digital museum of VR panorama technique |
| CN116430991A (en) * | 2023-03-06 | 2023-07-14 | 北京黑油数字展览股份有限公司 | Exhibition hall digital person explanation method and system based on mixed reality and electronic equipment |
| CN116560498A (en) * | 2023-04-13 | 2023-08-08 | 毕加展览有限公司 | Digital exhibition interaction method and system based on VR technology |
| CN116628071A (en) * | 2023-05-04 | 2023-08-22 | 毕加展览有限公司 | Data interaction method and system of digital exhibition management platform |
-
2023
- 2023-10-08 CN CN202311286335.XA patent/CN117033800A/en not_active Withdrawn
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105989573A (en) * | 2015-02-16 | 2016-10-05 | 上海钧铭商务咨询有限公司 | Method and system for providing exhibition hall guide information based on 360-degree digital panoramic technology |
| CN111415198A (en) * | 2020-03-19 | 2020-07-14 | 桂林电子科技大学 | Visitor behavior preference modeling method based on reverse reinforcement learning |
| CN112863407A (en) * | 2020-12-28 | 2021-05-28 | 湖北正显视通科技有限公司 | Intelligent touch splicing screen man-machine interactive system and method |
| CN112799999A (en) * | 2020-12-31 | 2021-05-14 | 中图数字科技(北京)有限公司 | Online reading recommendation method, system and device and computer readable storage medium |
| CN112862567A (en) * | 2021-02-25 | 2021-05-28 | 华侨大学 | Exhibit recommendation method and system for online exhibition |
| CN113422830A (en) * | 2021-06-23 | 2021-09-21 | 广州智会云科技发展有限公司 | Digital cloud exhibition platform and system |
| CN114155027A (en) * | 2021-12-01 | 2022-03-08 | 广州智会云科技发展有限公司 | Enterprise customer acquisition management system |
| CN114357344A (en) * | 2021-12-10 | 2022-04-15 | 德马吉国际展览有限公司 | Interactive visual cloud exhibition system and method based on Internet technology |
| CN114168644A (en) * | 2021-12-16 | 2022-03-11 | 上海友阅信息技术有限公司 | Interaction method, equipment and system for exhibition scene |
| CN114707034A (en) * | 2022-04-21 | 2022-07-05 | 佩齐睿鸿文化科技(武汉)有限公司 | Intelligent exhibition management system for intelligent exhibition hall based on VR visual technology |
| CN114967925A (en) * | 2022-05-27 | 2022-08-30 | 杭州师范大学 | Use digital museum of VR panorama technique |
| CN116430991A (en) * | 2023-03-06 | 2023-07-14 | 北京黑油数字展览股份有限公司 | Exhibition hall digital person explanation method and system based on mixed reality and electronic equipment |
| CN116560498A (en) * | 2023-04-13 | 2023-08-08 | 毕加展览有限公司 | Digital exhibition interaction method and system based on VR technology |
| CN116628071A (en) * | 2023-05-04 | 2023-08-22 | 毕加展览有限公司 | Data interaction method and system of digital exhibition management platform |
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