CN115438241A - Random information interaction display method, system and storage medium - Google Patents
Random information interaction display method, system and storage medium Download PDFInfo
- Publication number
- CN115438241A CN115438241A CN202211298488.1A CN202211298488A CN115438241A CN 115438241 A CN115438241 A CN 115438241A CN 202211298488 A CN202211298488 A CN 202211298488A CN 115438241 A CN115438241 A CN 115438241A
- Authority
- CN
- China
- Prior art keywords
- information
- probability
- project
- partition
- display
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000003993 interaction Effects 0.000 title claims description 32
- 238000005192 partition Methods 0.000 claims abstract description 145
- 230000002452 interceptive effect Effects 0.000 claims abstract description 21
- 238000012806 monitoring device Methods 0.000 claims abstract description 17
- 230000004927 fusion Effects 0.000 claims description 20
- 238000000605 extraction Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 9
- 239000000126 substance Substances 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims 1
- 238000013316 zoning Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention provides a random information interactive display method, a system and a storage medium, which relate to the field of data processing and comprise the following steps: acquiring basic information of a first scenic spot, wherein the basic information of the first scenic spot comprises scenic spot partition information and touring log information; acquiring first coordinate information and first browsing flow information to perform display probability distribution, and generating a first-level display probability; acquiring partition project information including second coordinate information, second browsing flow information and project travel information according to the scenic spot partition information; through the voice monitoring device, the interactive voice characteristic values are acquired and comprise project keyword characteristic values and intention keyword characteristic values to be displayed in probability distribution, second-level display probability is generated, random display of project and travel information is carried out on a first display panel, and a first display result is generated. The technical problem of poor adaptability caused by low combination degree with users in the online pushing of the travel information in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a random information interaction display method, a system and a storage medium.
Background
The improvement of the experience of tourists in scenic spots is one of the main directions of the development of scenic spot service industry, and the tourists can be attracted in the scenic spots, so that cultural base information such as cultural base implications and classical events, which are symbolized by the scenic spots, is a great characteristic of attracting the tourists.
In a traditional scenic spot tour, a tour guide or an explainer often outputs the travel information of the scenic spot. With the continuous progress of science and technology, modes such as scanning codes to acquire online pushing of the travel information appear so as to improve the visiting experience of the user, but practice proves that the mode is complex in operation, and the pushing and user combination degree of the travel information is low, so that the applicability is poor.
In the prior art, the online pushing of the travel information has the technical problem of poor adaptability due to low combination degree with the user.
Disclosure of Invention
The application provides a random information interaction display method and system, which are used for solving the technical problem of poor adaptability caused by low combination degree with a user in the prior art for online pushing of travel information.
In view of the foregoing problems, the present application provides a method and a system for displaying random information interaction.
In a first aspect of the present application, a method for displaying random information interaction is provided, which is applied to a random information interaction display system, the system is in communication connection with a first display panel, the first display panel includes a voice monitoring device, and the method includes: acquiring first scenic spot basic information, wherein the first scenic spot basic information comprises scenic spot partition information and tour log information; acquiring first coordinate information and first browsing flow information according to the tour log information; traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing flow information, and generating a first-level display probability; acquiring partition project information according to the scenic spot partition information, wherein the partition project information comprises second coordinate information, second browsing flow information and project travel information; acquiring an interactive voice characteristic value through a voice monitoring device, wherein the interactive voice characteristic value comprises a project keyword characteristic value and an intention keyword characteristic value; traversing the partition project information to perform display probability distribution according to the keyword characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to generate a second level display probability; and randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result.
In a second aspect of the present application, a random information interactive display system is provided, and is connected to a first display panel in communication, the first display panel includes a voice monitoring device, including: the system comprises a scenic spot information acquisition module, a scenic spot information acquisition module and a scenic spot information acquisition module, wherein the scenic spot information acquisition module is used for acquiring first scenic spot basic information, and the first scenic spot basic information comprises scenic spot partition information and tour log information; the log information extraction module is used for acquiring first coordinate information and first browsing flow information according to the tour log information; the first probability distribution module is used for traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing flow information to generate a first-level display probability; the project information extraction module is used for acquiring partition project information according to the scenic spot partition information, wherein the partition project information comprises second coordinate information, second browsing flow information and project travel information; the voice characteristic value extraction module is used for acquiring an interactive voice characteristic value through a voice monitoring device, wherein the interactive voice characteristic value comprises a project keyword characteristic value and an intention keyword characteristic value; the second probability distribution module is used for traversing the partition project information to perform display probability distribution according to the keyword characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to generate a second level display probability; and the task execution module is used for randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result.
In a third aspect of the present application, a computer device is provided, the computer device comprising a memory and a processor, the memory having stored therein a computer program, which when executed by the processor, performs the steps of the method of the first aspect.
In a fourth aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the technical scheme, each scenic spot partition of a scenic spot and the browsing log information of each partition are determined; performing text and travel information display probability distribution on each partition according to coordinate information and browsing flow information in a browsing log to obtain a first-level display probability; determining scenic spot project information in the subareas to obtain coordinate information, browsing flow and project text and travel information of each project point; collecting voice characteristic values of user interaction received by a voice monitoring device, wherein the voice characteristic values comprise project keyword characteristics and intention keyword characteristic values; performing display probability distribution according to the key word characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to obtain a second level display probability; fusing the two display probabilities to obtain the random push probability of each project; and further random display of project travel information is realized. The probability value is set according to the coordinate information of each item point, the convenience of arrival of a user is considered, and the humanization is improved; the probability value is set according to the browsing flow, the popularity of the scenic spot is considered, and the user experience is favorably improved; the pushing probability of the text and travel information of the user interest item is improved according to the voice characteristic value of the user, and the combination degree with the user is favorably improved; random display is carried out on a plurality of projects in a plurality of scenic spots, the diversity of display results is improved, and the technical effects of improving the intelligence, individuation and humanization of project and travel information display are achieved.
Drawings
Fig. 1 is a schematic flow chart of a random information interaction display method provided in the present application;
fig. 2 is a schematic flow chart illustrating a process of obtaining a first-level presentation probability in a random information interaction presentation method provided by the present application;
fig. 3 is a schematic flowchart illustrating a process of determining a second-level display probability in a stochastic information interactive display method according to the present application;
fig. 4 is a schematic structural diagram of a random information interaction display system according to the present application.
Fig. 5 is a schematic structural diagram of an exemplary computer device according to an embodiment of the present application.
Description of reference numerals: the system comprises a scenic spot information acquisition module 11, a log information extraction module 12, a first probability distribution module 13, a project information extraction module 14, a voice characteristic value extraction module 15, a second probability distribution module 16, a task execution module 17, a computer device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The application provides a random information interaction display method and system, which are used for solving the technical problem of poor adaptability caused by low combination degree with a user in the prior art for online pushing of text and travel information.
Example one
As shown in fig. 1, the present application provides a random information interaction display method, which is applied to a random information interaction display system, the system is in communication connection with a first display panel, the first display panel includes a voice monitoring device, and the method includes the steps of:
s100: acquiring first scenic spot basic information, wherein the first scenic spot basic information comprises scenic spot partition information and tour log information;
specifically, the first scenic spot refers to a preset scenic spot in which the cultural travel information needs to be randomly displayed; the first scenic spot basic information refers to basic information for facilitating random display and analysis of post-stepping travel information related to scenic spots, and includes but is not limited to: scenic spot partition information, browsing log information, item information in the scenic spot, item travel information in the scenic spot, and the like.
Scenic spot partition information refers to different areas that characterize a scenic spot, such as, for example: a famous mountain, a north peak, an east peak, a west peak, a south peak and a middle peak are five different subareas; the tour log information refers to the visitor browsing information of different partitions, including but not limited to: daily browsing number of tourists, coordinate information of partitions and the like; the item information in the scenic spot refers to specific tourism items in each subarea of the scenic spot, such as: different book corners in a library, etc.; the project text travel information in the scenic spot refers to text travel culture information such as stories, classical allusions, historical backgrounds and the like of scenic spot projects. And acquiring and storing the basic information of the first scenic spot, setting the basic information as a state to be responded, and waiting for later calling.
S200: acquiring first coordinate information and first browsing flow information according to the tour log information;
specifically, the first coordinate information refers to a plurality of groups of area positioning coordinate information which are extracted from the tour log information and correspond to the partitions in the scenic spot one by one; the first browsing flow information refers to a plurality of groups of daily average visitor flow information within a preset time period, which is extracted from the tour log information and corresponds to each subarea within the scenic spot one by one. By collecting the first coordinate information and the first browsing flow information of each partition, a data reference standard is provided for differential analysis of the subsequent partitions.
S300: traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing flow information, and generating a first-level display probability;
further, as shown in fig. 2, traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing traffic information, and generating a first-level display probability, where the step S300 includes the steps of:
s310: acquiring third coordinate information according to the first display panel;
s320: traversing the first coordinate information according to the third coordinate information to generate first partition distance information, second partition distance information and Nth partition distance information;
s330: acquiring first partition browsing flow information, second partition browsing flow information and Nth partition browsing flow information according to the first browsing flow information;
s340: performing display probability distribution on the nth partition according to the nth partition distance information and the nth partition browsing flow information to generate a first-level display probability of the nth partition, wherein N belongs to N;
further, the displaying probability distribution is performed on the nth partition according to the nth partition distance information and the nth partition browsing flow information, so as to generate the nth partition first-level displaying probability, and step S340 includes the steps of:
s341: obtaining a first display probability distribution formula:
wherein the content of the first and second substances,
the probabilities are shown for the first level of the nth partition,
the sub-probabilities are shown for the first of the nth partition,
a second presentation sub-probability for the nth partition,
and
are respectively as
And with
The fusion weight parameter of (a) is,
as the n-th partition distance information,
browsing flow information for the nth partition;
s342: and inputting the nth partition distance information and the nth partition browsing flow information into the first display probability distribution formula to generate the first-level display probability of the nth partition.
S350: adding the nth partition first level presentation probability to the first level presentation probability.
Specifically, the first-level display probability refers to a result of performing display probability distribution on each partition according to first coordinate information and the first browsing flow information, and represents the random display probability of the travel information in each partition.
The detailed determination process is as follows:
the third coordinate information refers to coordinate data representing the position of the display panel; and calculating distances between the third coordinate information and the plurality of coordinates in the first coordinate information respectively, so as to obtain first partition distance information, second partition distance information and nth partition distance information which represent the positions of the display panels and the partition distances.
And extracting a plurality of subarea flows which correspond to the subareas one by one in the first browsing flow information, recording the subarea flows as the first subarea browsing flow information and the second subarea browsing flow information until the Nth subarea browsing flow information, wherein the day average flow in a preset time is represented, and the preset time is preferably one month.
The process of showing the probability distribution for the first level of any one of the first partition to the nth partition is as follows: the nth partition refers to any one of the first partition to the nth partition, and according to a first display probability distribution formula:
in the formula
And
are respectively as
And
the fusion weight parameter of (2) can be paired by the staff
And
the bias degree of the probability distribution is subjected to custom assignment, and the manageable characteristic of the display probability distribution is improved;
as the n-th partition distance information,
and browsing the flow information for the nth partition. Inputting the nth partition distance information and the nth partition browsing flow information of the nth partition
And
and setting the completed first display probability distribution formula to obtain the first-level display probability of the nth partition. Thus, the first-level display probability of any one of the first partition to the Nth partition can be determined, and is stored in one-to-one association with the corresponding partition and marked as the first-level display probability.
According to the first display probability distribution formula, the farther the distance is, the less the flow is, the lower the display probability is, and the distance and the flow are considered, so that the humanization is improved for the display of the travel information, and the user experience feeling is improved.
S400: obtaining partition project information according to the scenic spot partition information, wherein the partition project information comprises second coordinate information, second browsing flow information and project travel information;
specifically, the partition item information refers to a plurality of items of information in any partition of the scenic spot, and includes second coordinate information representing item positions, second browsing flow information representing browsing flow of each item, which is obtained by further decomposing the flow information of the partition, and item travel information associated with each item one by one. After probability distribution is carried out on each partition in the first level, probability distribution in the second level is further carried out according to the subdivided items, and the random display refinement degree of the scenic spot text travel information is improved. And storing the second coordinate information, the second browsing flow information and the project text travel information in a one-to-one correlation manner, setting the second coordinate information, the second browsing flow information and the project text travel information as a state to be responded, and waiting for calling in the next step.
S500: acquiring an interactive voice characteristic value through a voice monitoring device, wherein the interactive voice characteristic value comprises a project keyword characteristic value and an intention keyword characteristic value;
specifically, the voice monitoring device is located beside the display interface and interacts with the user, the interaction mode is divided into active interaction and passive interaction, the active interaction is that the user actively inputs voice to the voice monitoring device for interaction, the passive interaction is that interaction in a preset range near the voice monitoring device is monitored, and the active interaction is active and the passive interaction is auxiliary. The interactive voice characteristic value refers to voice recognition of interactive voice, and the extracted voice characteristic value mainly includes a project keyword characteristic value and an intention keyword characteristic value, the project keyword characteristic value refers to a name of each project, and the intention keyword refers to evaluation of each project, as exemplified by: words that are good-looking, fun, boring, too many people, scenic, etc., are preferably matched by an expert-defined lexicon. The humanized interactive characteristics can be provided for the random display of the follow-up text travel information through the interactive voice characteristic value, and the fitness of a random display result and a user is improved.
S600: traversing the partition project information to perform display probability distribution according to the keyword characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to generate a second level display probability;
further, as shown in fig. 3, traversing the partition item information to perform display probability distribution according to the keyword feature value, the intention keyword feature value, the second coordinate information, and the second browsing traffic information, and generating a second-level display probability, where the step S600 includes the steps of:
s610: acquiring first project coordinate information and second project coordinate information until M project coordinate information according to the second coordinate information;
s620: traversing the first project coordinate information, the second project coordinate information and the Mth project coordinate information according to the third coordinate information to generate first project distance information, second project distance information and the Mth project distance information;
s630: acquiring first item browsing flow information, second item browsing flow information and up to Mth item browsing flow information according to the second browsing flow information;
s640: performing display probability distribution on the mth project according to the mth project distance information and the mth project browsing flow information to generate a second-level initial display probability of the mth project, wherein M belongs to M;
further, the step S640 includes the steps of performing display probability distribution on the mth item according to the mth item distance information and the mth item browsing flow information to generate an initial display probability of the mth item at the second level:
s641: obtaining a second display probability distribution formula:
wherein, the first and the second end of the pipe are connected with each other,
the second level initially shows probabilities for the mth item,
a first presentation sub-probability of the probability is initially presented for the second level of the mth item,
a second presentation sub-probability of the probability for the second level of the mth item is initially presented,
and
are respectively as
And
the weight parameter of the probability fusion is,
is the m-th item distance information,
browsing flow information for the mth project;
s642: and inputting the mth item distance information and the mth item browsing flow information into the second display probability distribution formula to generate a second-level initial display probability of the mth item.
S650: adjusting the mth item second-level initial display probability according to the keyword characteristic value and the intention keyword characteristic value to generate an mth item second-level display probability;
further, the adjusting the mth item second level initial display probability according to the keyword feature value and the intention keyword feature value generates the mth item second level display probability, and the step S650 includes the steps of:
s651: acquiring an mth project keyword according to the keyword characteristic value;
s652: according to the mth item keyword, the intention keyword characteristic of the mth item is screened from the intention keyword characteristic value;
s653: judging whether the mth item intention keyword features comprise first type keyword frequency features or not, wherein the first type keywords represent that a user has browsing intention;
s654: if yes, adjusting the second display probability distribution formula to generate a third display probability distribution formula:
wherein the content of the first and second substances,
characterizing the second level of the mth itemA third presentation sub-probability of the starting presentation probability,
is composed of
Fuse weight parameters of, and
is greater than
，
A first type keyword frequency characteristic of an mth item;
s655: and inputting the frequency characteristics of the first type keywords into the third display probability distribution formula to generate the second-level display probability of the mth item.
S660: adding the mth item second-level presentation probability into the second-level presentation probability.
Specifically, the second-level display probability refers to a second-level random display probability for determining the project travel information under the comprehensive consideration of the keyword feature value, the intention keyword feature value, the second coordinate information, and the second browsing flow information. The detailed process of probability distribution is as follows:
the first item coordinate information, the second item coordinate information and up to the Mth item coordinate information refer to coordinate information which is extracted from the second coordinate information and corresponds to each item one by one, and M represents the total number of items in any one partition; the first item distance information, the second item distance information and the up-to-M item distance information refer to third coordinate information traversing the first item coordinate information, the second item coordinate information and the up-to-M item coordinate information, and determining the third coordinate information and the distance information of each item in any one partition; the first item browsing flow information, the second item browsing flow information and the up to M item browsing flow information refer to daily average human flow which is extracted from the second browsing flow information and corresponds to each item in any one partition one by one.
And calling a second display probability distribution formula:
Further, according to the interactive characteristic value: and adjusting the second-level initial display probability by the keyword characteristic value and the intention keyword characteristic value to obtain the second-level display probability of the mth item, and traversing any item from the first item to the mth item to obtain all the second-level display probabilities which are recorded as the second-level display probabilities.
The adjustment process according to the speech feature value is detailed as follows: taking the m-th item as an example without limitation:
the mth item keyword refers to a keyword of the mth item, i.e., a name of the mth item; the mth item intention keyword feature refers to intention keyword feature values associated with the mth item one by one, and is exemplarily as follows: and hearing that the air plank road of the east peak is good to play, the item is the air plank road, and the good to play is the intention keyword characteristic value of the air plank road. The first type of keywords refer to keywords representing that the user has browsing intention, that is, positive evaluation is performed on the item, and if the user actively interacts with the query, the user is directly regarded as having browsing intention.
Determining whether the mth item intention keyword features comprise first type keywords or not, if yes, indicating that the mth item intention keyword features comprise the first type keywords, and calling the first type keyword frequency features, which means the occurrence frequency of the item keywords in a preset time period; by the third demonstration probability distribution formula:
If the first type keyword is not included, no adjustment is performed.
And processing the first item to the Mth item in the same way to obtain all the second-level display probabilities, setting the second-level display probabilities as a state to be responded, and waiting for calling in a later step.
S700: and randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result.
Further, the randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result, and step S700 includes the steps of:
s710: obtaining a probability fusion formula:
wherein the content of the first and second substances,
and
are respectively as
And
a fusion weight index of (a);
s720: fusing the first level display probability and the second level display probability according to the probability fusion formula to generate a first display probability;
s730: and randomly displaying the project travel information according to the first display probability to generate the first display result.
Specifically, will
And
according to a probability fusion formula:
carrying out a fusion process in which,
and
are respectively as
And
the fusion weight index can be set by a worker in a self-defined mode, the first display probability represents a result obtained after the first level display probability and the second level display probability are fused, and the random display probability of the travel information of any item in any partition on the first display panel is represented. The first display result refers to a random display result determined according to the first display probability at any time. By considering distance, flow, languageThe intelligent, humanized and individual degree of scenic spot text and travel information random display is improved by information such as voice interaction characteristics.
To sum up, the embodiment of the present application has at least the following technical effects:
according to the method and the device, the probability value is set according to the coordinate information of each project point, the convenience of arrival of the user is considered, and humanization is improved; setting a probability value according to the browsing flow, considering the popularity of scenic spots and being beneficial to improving the experience of users; the pushing probability of the text and travel information of the user interest item is improved according to the voice characteristic value of the user, and the combination degree with the user is favorably improved; random display is carried out on a plurality of projects in a plurality of scenic spots, the diversity of display results is improved, and the technical effects of improving the intelligence, individuation and humanization of project text and travel information display are achieved.
Example two
Based on the same inventive concept as the method for displaying random information interaction in the foregoing embodiments, as shown in fig. 4, the present application provides a system for displaying random information interaction, which is in communication connection with a first display panel, where the first display panel includes a voice monitoring device, and includes:
the system comprises a scenic spot information acquisition module 11, a scenic spot information acquisition module, a scenic spot information processing module and a tour log information processing module, wherein the scenic spot information acquisition module is used for acquiring first scenic spot basic information, and the first scenic spot basic information comprises scenic spot partition information and tour log information;
the log information extraction module 12 is configured to obtain first coordinate information and first browsing flow information according to the tour log information;
a first probability distribution module 13, configured to traverse the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing traffic information, and generate a first-level display probability;
the project information extraction module 14 is configured to obtain partition project information according to the scenic spot partition information, where the partition project information includes second coordinate information, second browsing flow information, and project travel information;
the voice characteristic value extraction module 15 is configured to obtain an interactive voice characteristic value through a voice monitoring device, where the interactive voice characteristic value includes a project keyword characteristic value and an intention keyword characteristic value;
a second probability distribution module 16, configured to traverse the partition item information to perform display probability distribution according to the keyword feature value, the intention keyword feature value, the second coordinate information, and the second browsing traffic information, and generate a second level display probability;
and the task execution module 17 is configured to randomly display the project travel information on the first display panel according to the first level display probability and the second level display probability, and generate a first display result.
Further, the first probability distribution module 13 performs steps including:
acquiring third coordinate information according to the first display panel;
traversing the first coordinate information according to the third coordinate information to generate first partition distance information, second partition distance information and Nth partition distance information;
acquiring first partition browsing flow information, second partition browsing flow information and Nth partition browsing flow information according to the first browsing flow information;
performing display probability distribution on the nth partition according to the nth partition distance information and the nth partition browsing flow information to generate a first-level display probability of the nth partition, wherein N belongs to N;
adding the nth partition first level presentation probability to the first level presentation probability.
Further, the first probability distribution module 13 performs the steps further including:
obtaining a first display probability distribution formula:
wherein the content of the first and second substances,
the probability is shown for the first level of the nth partition,
the sub-probabilities are shown for the first presentation of the nth partition,
a second presentation sub-probability for the nth partition,
and
are respectively as
And
the fusion weight parameter of (a) is,
as the n-th partition distance information,
browsing flow information for the nth partition;
and inputting the nth partition distance information and the nth partition browsing flow information into the first display probability distribution formula to generate the first-level display probability of the nth partition.
Further, the second probability distribution module 16 performs steps including:
acquiring first project coordinate information, second project coordinate information and up to Mth project coordinate information according to the second coordinate information;
traversing the first project coordinate information, the second project coordinate information and the Mth project coordinate information according to the third coordinate information to generate first project distance information, second project distance information and the Mth project distance information;
acquiring first project browsing flow information, second project browsing flow information and up to Mth project browsing flow information according to the second browsing flow information;
performing display probability distribution on the mth project according to the mth project distance information and the mth project browsing flow information to generate a second-level initial display probability of the mth project, wherein M belongs to M;
adjusting the mth item second-level initial display probability according to the keyword characteristic value and the intention keyword characteristic value to generate an mth item second-level display probability;
adding the mth item second level presentation probability into the second level presentation probability.
Further, the second probability distribution module 16 performs the steps further including:
obtaining a second display probability distribution formula:
wherein, the first and the second end of the pipe are connected with each other,
the second level initially shows probabilities for the mth item,
first presentation sub-probability of second-level initial presentation probability for mth item，
A second presentation sub-probability of the initial presentation probability for the second level of the mth item,
and
are respectively as
And
the weight parameter of the probability fusion is,
is the m-th item distance information,
browsing flow information for the mth project;
and inputting the mth item distance information and the mth item browsing flow information into the second display probability distribution formula to generate a second-level initial display probability of the mth item.
Further, the second probability distribution module 16 performs the steps further including:
acquiring an mth project keyword according to the keyword characteristic value;
according to the mth item keyword, the intention keyword characteristic of the mth item is screened from the intention keyword characteristic value;
judging whether the mth item intention keyword features comprise first type keyword frequency features or not, wherein the first type keywords represent that a user has browsing intention;
if yes, adjusting the second display probability distribution formula to generate a third display probability distribution formula:
wherein the content of the first and second substances,
a third presentation sub-probability characterizing the initial presentation probability of the second level of the mth item,
is composed of
Fuse weight parameters of, and
is greater than
，
A first type keyword frequency characteristic of an mth item;
and inputting the frequency characteristics of the first type keywords into the third display probability distribution formula to generate the second-level display probability of the mth item.
Further, the task execution module 17 performs steps including:
obtaining a probability fusion formula:
wherein, the first and the second end of the pipe are connected with each other,
and
are respectively as
And
a fusion weight index of (a);
fusing the first level display probability and the second level display probability according to the probability fusion formula to generate a first display probability;
and randomly displaying the project text travel information according to the first display probability to generate the first display result.
EXAMPLE III
As shown in fig. 5, based on the same inventive concept as that of the method for displaying random information interaction in the foregoing embodiment, the present application further provides a computer device 300, where the computer device 300 includes a memory 301 and a processor 302, a computer program is stored in the memory 301, and when the computer program is executed by the processor 302, the steps of the method in the embodiment are implemented.
The computer device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the computer device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (CD ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement a method for displaying random information interaction provided by the above-mentioned embodiments of the present application.
Example four
Based on the same inventive concept as the random information interaction display method in the foregoing embodiment, the present application further provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method in the first embodiment.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (10)
1. A random information interaction display method is characterized in that the method is applied to a random information interaction display system, the system is in communication connection with a first display panel, the first display panel comprises a voice monitoring device, and the method comprises the following steps:
acquiring first scenic spot basic information, wherein the first scenic spot basic information comprises scenic spot partition information and tour log information;
acquiring first coordinate information and first browsing flow information according to the tour log information;
traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing flow information, and generating a first-level display probability;
obtaining partition project information according to the scenic spot partition information, wherein the partition project information comprises second coordinate information, second browsing flow information and project travel information;
acquiring an interactive voice characteristic value through a voice monitoring device, wherein the interactive voice characteristic value comprises a project keyword characteristic value and an intention keyword characteristic value;
traversing the partition project information to perform display probability distribution according to the keyword characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to generate a second level display probability;
and randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result.
2. The method of claim 1, wherein the traversing the scenic spot zoning information for a presentation probability distribution according to the first coordinate information and the first browsing traffic information to generate a first level of presentation probability comprises:
acquiring third coordinate information according to the first display panel;
traversing the first coordinate information according to the third coordinate information to generate first partition distance information, second partition distance information and Nth partition distance information;
acquiring first partition browsing flow information, second partition browsing flow information and Nth partition browsing flow information according to the first browsing flow information;
performing display probability distribution on the nth partition according to the nth partition distance information and the nth partition browsing flow information to generate a first-level display probability of the nth partition, wherein N belongs to N;
adding the nth partition first level presentation probability to the first level presentation probability.
3. The method according to claim 2, wherein the generating the nth partition first-level display probability by performing the display probability distribution on the nth partition according to the nth partition distance information and the nth partition browsing traffic information comprises:
obtaining a first display probability distribution formula:
wherein the content of the first and second substances,
the probabilities are shown for the first level of the nth partition,
first show sub-summary for nth partitionThe ratio of the content to the content,
a second presentation sub-probability for the nth partition,
and
are respectively as
And
the fusion weight parameter of (a) is,
as the n-th partition distance information,
browsing flow information for the nth partition;
and inputting the nth partition distance information and the nth partition browsing flow information into the first display probability distribution formula to generate the first-level display probability of the nth partition.
4. The method of claim 3, wherein traversing the partition item information for a presentation probability distribution according to the keyword eigenvalue, the intention keyword eigenvalue, the second coordinate information and the second browsing traffic information to generate a second level presentation probability comprises:
acquiring first project coordinate information and second project coordinate information until M project coordinate information according to the second coordinate information;
traversing the first project coordinate information, the second project coordinate information and the Mth project coordinate information according to the third coordinate information to generate first project distance information, second project distance information and the Mth project distance information;
acquiring first item browsing flow information, second item browsing flow information and up to Mth item browsing flow information according to the second browsing flow information;
performing display probability distribution on the mth project according to the mth project distance information and the mth project browsing flow information to generate a second-level initial display probability of the mth project, wherein M belongs to M;
adjusting the mth item second-level initial display probability according to the keyword characteristic value and the intention keyword characteristic value to generate an mth item second-level display probability;
adding the mth item second level presentation probability into the second level presentation probability.
5. The method as claimed in claim 4, wherein the generating of the second-level initial display probability of the mth item according to the display probability distribution of the mth item based on the mth item distance information and the mth item browsing traffic information comprises:
obtaining a second display probability distribution formula:
wherein the content of the first and second substances,
the second level initially shows probabilities for the mth item,
a first presentation sub-probability of the probability is initially presented for the second level of the mth item,
a second presentation sub-probability of the probability for the second level of the mth item is initially presented,
and
are respectively as
And
the weight parameter of the probability fusion is,
is the m-th item distance information,
browsing flow information for the mth project;
and inputting the mth item distance information and the mth item browsing flow information into the second display probability distribution formula to generate a second-level initial display probability of the mth item.
6. The method of claim 4, wherein the adjusting the mth item second-level initial presentation probability according to the keyword feature value and the intention keyword feature value to generate the mth item second-level presentation probability comprises:
acquiring an mth project keyword according to the keyword characteristic value;
according to the mth item keyword, the intention keyword characteristic of the mth item is screened from the intention keyword characteristic value;
judging whether the mth item intention keyword characteristics comprise first type keyword frequency characteristics or not, wherein the first type keywords represent that a user has browsing wishes;
if yes, adjusting the second display probability distribution formula to generate a third display probability distribution formula:
wherein the content of the first and second substances,
the probability is initially shown at the second level for the mth item,
a first presentation sub-probability of the probability is initially presented for the second level of the mth item,
a second presentation sub-probability of the probability for the second level of the mth item is initially presented,
and
are respectively as
And
the weight parameter of the probability fusion is,
as the m-th item of distance information,
browsing the traffic information for the mth item,
a third presentation sub-probability characterizing an initial presentation probability of the second level of the mth item,
is composed of
Fuse weight parameters of, and
is greater than
，
A first type keyword frequency characteristic of an mth item;
and inputting the frequency characteristics of the first type keywords into the third display probability distribution formula to generate the second-level display probability of the mth item.
7. The method of claim 1, wherein said randomly presenting the project travel information at the first presentation panel according to the first and second hierarchical presentation probabilities to generate a first presentation result comprises:
obtaining a probability fusion formula:
wherein the content of the first and second substances,
and
are respectively as
And
the fusion weight index of (a) is,
the second level initially shows probabilities for the mth item,
displaying the probability for the first level of the nth partition;
fusing the first level display probability and the second level display probability according to the probability fusion formula to generate a first display probability;
and randomly displaying the project text travel information according to the first display probability to generate the first display result.
8. A random information interaction display system, which is connected to a first display panel in communication, wherein the first display panel includes a voice monitoring device, comprising:
the system comprises a scenic spot information acquisition module, a scenic spot information acquisition module and a scenic spot management module, wherein the scenic spot information acquisition module is used for acquiring first scenic spot basic information, and the first scenic spot basic information comprises scenic spot partition information and tour log information;
the log information extraction module is used for acquiring first coordinate information and first browsing flow information according to the tour log information;
the first probability distribution module is used for traversing the scenic spot partition information to perform display probability distribution according to the first coordinate information and the first browsing flow information to generate a first-level display probability;
the project information extraction module is used for acquiring partition project information according to the scenic spot partition information, wherein the partition project information comprises second coordinate information, second browsing flow information and project travel information;
the voice characteristic value extraction module is used for acquiring an interactive voice characteristic value through a voice monitoring device, wherein the interactive voice characteristic value comprises a project keyword characteristic value and an intention keyword characteristic value;
the second probability distribution module is used for traversing the partition project information to perform display probability distribution according to the keyword characteristic value, the intention keyword characteristic value, the second coordinate information and the second browsing flow information to generate a second level display probability;
and the task execution module is used for randomly displaying the project travel information on the first display panel according to the first level display probability and the second level display probability to generate a first display result.
9. A computer arrangement, characterized in that the computer arrangement comprises a memory and a processor, in which memory a computer program is stored, which computer program, when being executed by the processor, realizes the steps of the method of any one of claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211298488.1A CN115438241B (en) | 2022-10-24 | 2022-10-24 | Random information interaction display method, system and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211298488.1A CN115438241B (en) | 2022-10-24 | 2022-10-24 | Random information interaction display method, system and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115438241A true CN115438241A (en) | 2022-12-06 |
| CN115438241B CN115438241B (en) | 2023-03-24 |
Family
ID=84252229
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211298488.1A Active CN115438241B (en) | 2022-10-24 | 2022-10-24 | Random information interaction display method, system and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115438241B (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101090519A (en) * | 2007-05-10 | 2007-12-19 | 南京师范大学 | Scene GIS intelligent guide service system and method based on man-machine conversation |
| CN105530605A (en) * | 2015-11-04 | 2016-04-27 | 江苏科技大学 | Android embedded platform based campus guide system |
| CN105704675A (en) * | 2016-04-29 | 2016-06-22 | 链景科技有限公司 | Scenic region information processing method and device |
| CN106504011A (en) * | 2015-09-06 | 2017-03-15 | 阿里巴巴集团控股有限公司 | A kind of methods of exhibiting of business object and device |
| CN109359287A (en) * | 2018-07-12 | 2019-02-19 | 福州大学 | The online recommender system of interactive cultural tour scenic area and scenic spot and method |
| CN109783669A (en) * | 2019-01-21 | 2019-05-21 | 美的集团武汉制冷设备有限公司 | Screen methods of exhibiting, robot and computer readable storage medium |
| CN109872119A (en) * | 2019-01-17 | 2019-06-11 | 平安科技（深圳）有限公司 | Project information management method, apparatus, computer equipment and storage medium |
| CN111460304A (en) * | 2020-04-01 | 2020-07-28 | 北京奇艺世纪科技有限公司 | Information display method, electronic equipment and readable storage medium |
| CN112800297A (en) * | 2021-03-03 | 2021-05-14 | 深圳市维度数据科技股份有限公司 | Method and device for visualizing big data of tourist traffic passenger flow |
| CN114141179A (en) * | 2021-12-07 | 2022-03-04 | 贝塔智能科技(北京)有限公司 | Park guide and scenic spot introduction system based on intelligent voice interaction |
| CN114911990A (en) * | 2022-05-27 | 2022-08-16 | 北京天域北斗文化科技集团有限公司 | Map browsing system based on virtual reality and intelligent interaction |
| CN115099672A (en) * | 2022-07-11 | 2022-09-23 | 重庆旅游云信息科技有限公司 | Drainage dredging method and system based on scenic spot real-time passenger flow |
| WO2022217685A1 (en) * | 2021-04-13 | 2022-10-20 | 海南云端信息技术有限公司 | Method and system for intelligent path planning of tourist attractions |
-
2022
- 2022-10-24 CN CN202211298488.1A patent/CN115438241B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101090519A (en) * | 2007-05-10 | 2007-12-19 | 南京师范大学 | Scene GIS intelligent guide service system and method based on man-machine conversation |
| CN106504011A (en) * | 2015-09-06 | 2017-03-15 | 阿里巴巴集团控股有限公司 | A kind of methods of exhibiting of business object and device |
| CN105530605A (en) * | 2015-11-04 | 2016-04-27 | 江苏科技大学 | Android embedded platform based campus guide system |
| CN105704675A (en) * | 2016-04-29 | 2016-06-22 | 链景科技有限公司 | Scenic region information processing method and device |
| CN109359287A (en) * | 2018-07-12 | 2019-02-19 | 福州大学 | The online recommender system of interactive cultural tour scenic area and scenic spot and method |
| CN109872119A (en) * | 2019-01-17 | 2019-06-11 | 平安科技（深圳）有限公司 | Project information management method, apparatus, computer equipment and storage medium |
| CN109783669A (en) * | 2019-01-21 | 2019-05-21 | 美的集团武汉制冷设备有限公司 | Screen methods of exhibiting, robot and computer readable storage medium |
| CN111460304A (en) * | 2020-04-01 | 2020-07-28 | 北京奇艺世纪科技有限公司 | Information display method, electronic equipment and readable storage medium |
| CN112800297A (en) * | 2021-03-03 | 2021-05-14 | 深圳市维度数据科技股份有限公司 | Method and device for visualizing big data of tourist traffic passenger flow |
| WO2022217685A1 (en) * | 2021-04-13 | 2022-10-20 | 海南云端信息技术有限公司 | Method and system for intelligent path planning of tourist attractions |
| CN114141179A (en) * | 2021-12-07 | 2022-03-04 | 贝塔智能科技(北京)有限公司 | Park guide and scenic spot introduction system based on intelligent voice interaction |
| CN114911990A (en) * | 2022-05-27 | 2022-08-16 | 北京天域北斗文化科技集团有限公司 | Map browsing system based on virtual reality and intelligent interaction |
| CN115099672A (en) * | 2022-07-11 | 2022-09-23 | 重庆旅游云信息科技有限公司 | Drainage dredging method and system based on scenic spot real-time passenger flow |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115438241B (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110008300B (en) | Method and device for determining alias of POI (Point of interest), computer equipment and storage medium | |
| CN109409612B (en) | Path planning method, server and computer storage medium | |
| TWI521185B (en) | Method, system, computer-readable storage media for location-to-landmark | |
| US8947421B2 (en) | Method and server computer for generating map images for creating virtual spaces representing the real world | |
| US7668824B2 (en) | Interface device, inferring system, and visual expression method | |
| CN110019616B (en) | POI (Point of interest) situation acquisition method and equipment, storage medium and server thereof | |
| US20020055926A1 (en) | Open platform information on universal maps | |
| CN105547306B (en) | A kind of route method for pushing and system | |
| CN110096645A (en) | Information recommendation method, device, equipment and medium | |
| JP2014507703A (en) | View-dependent technology to determine user interest in 3D application features | |
| CN101532848A (en) | Information retrieval apparatus, informatin retrieval system, and information retrieval method | |
| WO2019141109A1 (en) | Method and device for content recommendation | |
| JP2007219655A (en) | Facility information management system, facility information management method and facility information management program | |
| CN102428491A (en) | Location-based data service apparatus and method | |
| CN110503485B (en) | Geographical region classification method and device, electronic equipment and storage medium | |
| Schroder et al. | Giving the ‘right’route directions: The requirements for pedestrian navigation systems | |
| JP5809187B2 (en) | Management device, service providing system, management device control method, and management device program | |
| AU2008200194B2 (en) | Street Quality Assessment Method and System | |
| Santos et al. | Tourism Recommendation System based in user's profile and functionality levels | |
| Yu et al. | Analyzing the structure of tourism destination network based on digital footprints: Taking Guilin, China as a case | |
| CN115438241B (en) | Random information interaction display method, system and storage medium | |
| Singh et al. | Design and implementation of a location–based multimedia mobile tourist guide system | |
| De Paola et al. | A multi‐agent system for itinerary suggestion in smart environments | |
| Kovavisaruch et al. | Museum Layout Evaluation based on Visitor Statistical History | |
| JP7470919B2 (en) | Information processing method, information processing program, and information processing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |