CN113378046B - Intelligent pushing or recommending method for local learning content - Google Patents

Intelligent pushing or recommending method for local learning content Download PDF

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CN113378046B
CN113378046B CN202110645490.0A CN202110645490A CN113378046B CN 113378046 B CN113378046 B CN 113378046B CN 202110645490 A CN202110645490 A CN 202110645490A CN 113378046 B CN113378046 B CN 113378046B
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longitude
local
latitude
region
learning content
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CN113378046A (en
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王枫
马镇筠
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Beijing Love Theory Technology Co ltd
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    • 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
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

Abstract

The embodiment of the invention discloses an intelligent pushing or recommending method for localized learning content, and belongs to the technical field of intelligent learning. The method comprises the following steps: collecting local longitude and latitude information; determining the region of the local in a plurality of preset regions according to the longitude and latitude information of the local; acquiring learning content corresponding to a local region; and pushing or recommending the currently acquired learning content to the local user. According to the invention, the corresponding learning content can be pushed according to the geographical position of the student, so that the pushing accuracy of the learning content is improved.

Description

Intelligent pushing or recommending method for local learning content
Technical Field
The invention belongs to the technical field of intelligent learning, and particularly relates to an intelligent pushing or recommending method for local learning content.
Background
With the development of computer and internet technologies, on-line learning software is produced. The existing learning software can enable students to learn a lot of knowledge online through the Internet, or can download the learning knowledge online to local electronic equipment for offline learning. For new users, the existing learning software often requires that the users search for the needed contents in the massive learning knowledge for learning, and then after the learning behaviors of the users are acquired for a period of time, some new learning contents with the highest relevance to the learned contents can be recommended/pushed for the users. However, the learning content recommendation/push behavior of the existing learning software needs certain user behavior data as a basis, the recommendation/push behavior has a delay property, and when a user logs in for learning for the first time, the user cannot intelligently recommend/push the learning content, or only recommend/push the recommended learning content obtained based on the behavior data of most students to the user, and the contents are often not the most desired by the user. For example, when a student in a Tibet region first logs in the learning software, the system recommends/pushes to him the most used Chinese or mathematical knowledge that the student in the coastal region learned, and may not be applicable to the Tibet student. Therefore, the recommendation accuracy of the existing learning content recommendation/push method is low, manual search is often needed, and time and labor are wasted.
Disclosure of Invention
In view of this, the embodiment of the present invention provides an intelligent pushing or recommending method for localized learning content, which is used to solve the problems that the existing learning content pushing method is low in recommendation accuracy and time-consuming and labor-consuming in manual search. According to the invention, the learning content of the corresponding geographical area can be pushed according to the geographical position of the student, so that the pushing accuracy of the learning content is improved.
The embodiment of the invention provides an intelligent pushing or recommending method for localized learning content, which comprises the following steps:
collecting local longitude and latitude information;
determining the region of the local in a plurality of preset regions according to the longitude and latitude information of the local;
acquiring learning content corresponding to a local region;
and pushing or recommending the currently acquired learning content to the local user.
In an optional embodiment, before the acquiring the local latitude and longitude information, the method further includes:
dividing the whole country into m regions;
numbering the m regions in sequence to obtain region numbers corresponding to the regions;
acquiring all longitude and latitude coordinates included in each region to obtain a longitude and latitude coordinate subset corresponding to each region;
and merging the longitude and latitude coordinate subsets corresponding to all the regions to obtain a national longitude and latitude coordinate set.
In an optional embodiment, said numbering said m regions in sequence comprises:
and numbering the m regions in sequence according to the sequence of GDP of the regions from high to low.
In an optional embodiment, the determining, according to the latitude and longitude information of the local area, a local area to which the local area belongs includes:
calculating and determining the region number value of the local region according to a first formula:
Figure BDA0003109050430000021
in the first formula, a represents a region number value of a region to which the local belongs; s represents the latitude and longitude coordinates of the local,
Figure BDA0003109050430000022
an ith representing an a th region in the national longitude and latitude coordinate setaA latitude and longitude coordinate and a longitude coordinate of the coordinate,
Figure BDA0003109050430000023
representing the longitude and latitude coordinate position represented by S
Figure BDA0003109050430000024
Distance between representative latitude and longitude coordinate positions, IaRepresenting the total number of longitude and latitude coordinates contained in a longitude and latitude coordinate subset corresponding to the a-th region; δ () represents a unit impulse function, which is 1 when the value in parentheses is equal to 0, and which is 0 when the value in parentheses is not equal to 0.
In an optional embodiment, the learning content includes: teaching material knowledge;
the acquiring of the learning content corresponding to the local region includes:
calculating the type of the teaching materials corresponding to the local region according to a second formula to serve as the learning content corresponding to the local region;
wherein the second formula is:
Figure BDA0003109050430000031
in the second formula, B is the teaching material type corresponding to the local region, n represents the total number of the preset teaching material types, and Qb，jThe area number value of the jth area using the teaching material type b is shown, J is the total number of the areas using the teaching material type b, and b is 1,2, 3. J ═ 1,2, 3.
In an optional embodiment, the learning content further includes: average altitude, mountain area ratio and lake area ratio of local area;
the obtaining of the learning content corresponding to the local region further includes:
respectively calculating the average altitude, the mountain area ratio and the lake area ratio of the local area according to a third formula;
wherein the third formula is:
Figure BDA0003109050430000032
Figure BDA0003109050430000033
Figure BDA0003109050430000034
in the third formula, H (a) is the average altitude of the local area, W (a) is the area ratio of mountains to mountains, P (a) is the area ratio of lakes,
Figure BDA0003109050430000035
is the ith of a preset a-th areaaThe altitude corresponding to the latitude and longitude coordinate position,
Figure BDA0003109050430000036
is the ith of a preset a-th areaaThe place corresponding to the longitude and latitude coordinate position is a mark value of a mountain or a lake.
In an alternative embodiment, the
Figure BDA0003109050430000037
Is (-1,0, 1);
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is mountain,
Figure BDA0003109050430000041
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is a lake,
Figure BDA0003109050430000042
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is neither a mountain nor a lake,
Figure BDA0003109050430000043
the invention provides a novel method for intelligently pushing or recommending local learning content. The invention can intelligently push the learning content of the corresponding geographical area according to the geographical position of the student, improves the pushing accuracy of the learning content and can effectively improve the learning efficiency of the student.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent pushing or recommending method for localized learning content according to an embodiment of the present invention;
fig. 2 is a flowchart of an implementation method before S101.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of an intelligent pushing or recommending method for localized learning content according to an embodiment of the present invention. Referring to fig. 1, the method comprises the steps of:
s101: and collecting local longitude and latitude information.
In this embodiment, the longitude and latitude are a coordinate system formed by a combination of the longitude and the latitude, which is called a geographic coordinate system, and is a spherical coordinate system that defines the space on the earth by using a spherical surface of a three-dimensional space, and can mark any position on the earth.
As an alternative embodiment, before step S101, the method further includes:
s201: the country is divided into m regions.
In the embodiment, the areas can be divided according to provincial units of China, if more accurate local information is needed, the areas can be divided according to city-level and county-level units, the division degree of the areas is influenced by the types of learning teaching materials, and the same type of teaching materials are used by schools in each area. If the learning materials used by all the areas in each provincial level unit are different, the areas can be divided according to the city level unit next level.
S202: and numbering the m regions in sequence to obtain region numbers corresponding to the regions.
In this embodiment, for convenience of calculation, each divided region needs to be numbered, and a one-to-one correspondence relationship between each number and the region is achieved. Preferably, the m regions may be numbered sequentially in order of GDP of the region from high to low. For example, if the GDP in beijing was ranked 12 in 2020, the corresponding number is 12.
S203: and acquiring all longitude and latitude coordinates included in each region to obtain a longitude and latitude coordinate subset corresponding to each region.
In this embodiment, for example, beijing is located at 115.7 ° -117.4 ° of east longitude, and 39.4 ° -41.6 ° of north latitude, the longitude and latitude coordinate subset includes: tian' an door (east longitude 116.38 degrees, north latitude 39.9 degrees), a sunny area (east longitude 116.43 degrees, north latitude 39.92 degrees), a Xuanwu area (east longitude 116.35 degrees, north latitude 39.87 degrees) and the like.
S204: and merging the longitude and latitude coordinate subsets corresponding to all the regions to obtain a national longitude and latitude coordinate set.
S102: and determining the region of the local in a plurality of preset regions according to the latitude and longitude information of the local.
Preferably, the region number value of the local region to which the local belongs is determined by calculation according to the following first formula (1):
Figure BDA0003109050430000051
in the first formula (1), a represents a region number value of a region to which the local belongs; s represents the latitude and longitude coordinates of the local,
Figure BDA0003109050430000061
an ith representing an a th region in the national longitude and latitude coordinate setaA latitude and longitude coordinate and a longitude coordinate of the coordinate,
Figure BDA0003109050430000062
representing the longitude and latitude coordinate position represented by S
Figure BDA0003109050430000063
Distance between representative latitude and longitude coordinate positions, IaRepresenting the total number of longitude and latitude coordinates contained in a longitude and latitude coordinate subset corresponding to the a-th region; δ () represents a unit impulse function, which is 1 when the value in parentheses is equal to 0, and which is 0 when the value in parentheses is not equal to 0.
For example: assuming that the local longitude and latitude information acquired in S101 is (east longitude 116.43 °, north latitude 39.92 °), it can be derived from the first equation if and only if
Figure BDA0003109050430000064
Is (east longitude 116.43 degree, north latitude 39.92 degree), namely when the Beijing is facing the sun region,
Figure BDA0003109050430000065
when the ratio time A is 12, namely the number of the local region is 12, the local region can be determined to be Beijing according to the predefined correspondence between the region and the number.
S103: and acquiring learning content corresponding to the local region.
As an alternative embodiment, the learning content includes: teaching materials knowledge. Obviously, the teaching materials knowledge in the embodiment of the invention not only includes the textbook contents of the corresponding teaching materials, but also includes learning knowledge matched with the teaching materials. For example: the primary school Chinese language in Kunming City of Yunnan province uses teaching materials of human education versions, and the knowledge of the primary school Chinese teaching materials in the learning contents corresponding to Kunming City of Yunnan province comprises the learning knowledge of the human education versions of Chinese textbook knowledge and matched teaching knowledge of text explanation, post-lesson exercise and the like. Preferably, after the corresponding teaching material knowledge is acquired according to the local area, the grade information can be judged according to personal information of a user currently logged in by the local device, such as grade information, or according to the age of the user, and then the teaching material knowledge of the corresponding grade is screened out from the acquired teaching material knowledge to be used as the learning content to be pushed/recommended.
Preferably, the type of the teaching material corresponding to the local region to which the learning material belongs is calculated according to the second formula to serve as the learning content corresponding to the local region to which the learning material belongs.
Wherein the second formula is:
Figure BDA0003109050430000066
in the second formula (2), B is the teaching material type corresponding to the local region, n represents the total number of the preset teaching material types, and Qb，jThe area number value of the jth area using the teaching material type b is shown, J is the total number of the areas using the teaching material type b, and b is 1,2, 3. J ═ 1,2, 3.
In this embodiment, because of the uneven education level in our country, different areas may have different types of teaching materials and corresponding different knowledge, and a set of areas in which areas using the same teaching material in all areas across the country are combined to form the same teaching material is denoted as QbAnd QbThe elements in the set are denoted as Qb，jThis element is the area number value of the jth area using the textbook type b.
As an optional embodiment, the learning content further includes: average altitude, mountain area ratio and lake area ratio of local area; preferably, the average altitude, the mountain area ratio and the lake area ratio of the local area are respectively calculated according to a third formula;
wherein the third formula is:
Figure BDA0003109050430000071
in the third formula, H (a) is the average altitude of the local area, W (a) is the area ratio of mountains to mountains, P (a) is the area ratio of lakes,
Figure BDA0003109050430000072
is the ith of a preset a-th areaaThe altitude corresponding to the latitude and longitude coordinate position,
Figure BDA0003109050430000073
is the ith of a preset a-th areaaThe place corresponding to the longitude and latitude coordinate position is a mark value of a mountain or a lake.
Wherein, what is coming
Figure BDA0003109050430000074
Is (-1,0,1), specifically, when the ith area of the a-th area is presetaWhen the corresponding place of the longitude and latitude coordinate position is mountain,
Figure BDA0003109050430000075
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is a lake,
Figure BDA0003109050430000076
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is neither a mountain nor a lake,
Figure BDA0003109050430000077
in the embodiment, the average altitude, the mountain area ratio and the lake area ratio of the local region are obtained through calculation, so that the characteristic learning content including the local geography can be pushed to the user, and the purpose of intelligently pushing the localized knowledge is achieved.
S104: and pushing or recommending the currently acquired learning content to the local user.
The embodiment of the invention provides an intelligent pushing or recommending method for localized learning content. The invention can intelligently push the corresponding learning content according to the position of the student, and effectively improves the pushing accuracy of the learning content, thereby effectively improving the learning efficiency.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (4)

1. An intelligent pushing or recommending method for local learning content is characterized by comprising the following steps:
collecting local longitude and latitude information;
determining the region of the local in a plurality of preset regions according to the longitude and latitude information of the local;
acquiring learning content corresponding to a local region;
pushing or recommending the currently acquired learning content to a local user;
before the acquiring the local latitude and longitude information, the method further comprises the following steps:
dividing the whole country into m regions;
numbering the m regions in sequence to obtain region numbers corresponding to the regions;
acquiring all longitude and latitude coordinates included in each region to obtain a longitude and latitude coordinate subset corresponding to each region;
merging the longitude and latitude coordinate subsets corresponding to all regions to obtain a national longitude and latitude coordinate set;
wherein, the determining the local region according to the local longitude and latitude information comprises:
calculating and determining the region number value of the local region according to a first formula:
Figure FDA0003413108050000011
in the first formula, a represents a region number value of a region to which the local belongs; s represents the latitude and longitude coordinates of the local,
Figure FDA0003413108050000012
an ith representing an a th region in the national longitude and latitude coordinate setaA latitude and longitude coordinate and a longitude coordinate of the coordinate,
Figure FDA0003413108050000013
representing the longitude and latitude coordinate position represented by S
Figure FDA0003413108050000014
Distance between representative latitude and longitude coordinate positions, IaRepresenting the total number of longitude and latitude coordinates contained in a longitude and latitude coordinate subset corresponding to the a-th region; δ () represents a unitAn impulse function which is 1 when a value in the parentheses is equal to 0 and is 0 when the value in the parentheses is not equal to 0;
wherein, the learning content further comprises: average altitude, mountain area ratio and lake area ratio of local area;
the obtaining of the learning content corresponding to the local region further includes:
respectively calculating the average altitude, the mountain area ratio and the lake area ratio of the local area according to a third formula;
wherein the third formula is:
Figure FDA0003413108050000021
Figure FDA0003413108050000022
Figure FDA0003413108050000023
in the third formula, H (a) is the average altitude of the local area, W (a) is the area ratio of mountains to mountains, P (a) is the area ratio of lakes,
Figure FDA0003413108050000024
is the ith of a preset a-th areaaThe altitude corresponding to the latitude and longitude coordinate position,
Figure FDA0003413108050000025
is the ith of a preset a-th areaaThe place corresponding to the longitude and latitude coordinate position is a mark value of a mountain or a lake.
2. The intelligent pushing or recommending method of localized learning content according to claim 1, characterized in that said numbering said m regions in order comprises:
and numbering the m regions in sequence according to the sequence of GDP of the regions from high to low.
3. The intelligent pushing or recommending method for localized learning content according to claim 1, wherein said learning content comprises: teaching material knowledge;
the acquiring of the learning content corresponding to the local region includes:
calculating the type of the teaching materials corresponding to the local region according to a second formula to serve as the learning content corresponding to the local region;
wherein the second formula is:
Figure FDA0003413108050000026
in the second formula, B is the teaching material type corresponding to the local region, n represents the total number of the preset teaching material types, and Qb,jThe area number value of the jth area using the teaching material type b is shown, J is the total number of the areas using the teaching material type b, and b is 1,2,3, …, n; j is 1,2,3, …, J.
4. The intelligent push or recommendation method for localized learning content of claim 1, wherein said method is characterized by
Figure FDA0003413108050000031
Is (-1,0, 1);
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is mountain,
Figure FDA0003413108050000032
when the ith of the preset a-th areaaLocation corresponding to longitude and latitude coordinate positionIn the case of a lake,
Figure FDA0003413108050000033
when the ith of the preset a-th areaaWhen the corresponding place of the longitude and latitude coordinate position is neither a mountain nor a lake,
Figure FDA0003413108050000034
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