CN112783295A - Automatic content recommendation method and terminal based on user behaviors - Google Patents

Automatic content recommendation method and terminal based on user behaviors Download PDF

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Publication number
CN112783295A
CN112783295A CN202110186617.7A CN202110186617A CN112783295A CN 112783295 A CN112783295 A CN 112783295A CN 202110186617 A CN202110186617 A CN 202110186617A CN 112783295 A CN112783295 A CN 112783295A
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CN
China
Prior art keywords
shell
content recommendation
fixedly connected
terminal based
guide post
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Pending
Application number
CN202110186617.7A
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Chinese (zh)
Inventor
赵郑
段小霞
于言言
时梅
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Beijing Zeqiao Media Technology Co ltd
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Beijing Zeqiao Media Technology Co ltd
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Priority to CN202110186617.7A priority Critical patent/CN112783295A/en
Publication of CN112783295A publication Critical patent/CN112783295A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16Constructional details or arrangements
    • G06F1/18Packaging or power distribution
    • G06F1/181Enclosures
    • G06F1/182Enclosures with special features, e.g. for use in industrial environments; grounding or shielding against radio frequency interference [RFI] or electromagnetical interference [EMI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16Constructional details or arrangements
    • G06F1/20Cooling means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques

Abstract

The invention discloses an automatic content recommendation method and a terminal based on user behaviors, which comprise a shell, a door plate, two dustproof components and a content recommendation processor, wherein the door plate is arranged on the shell; the dustproof assembly comprises a plurality of first springs, a mounting frame, a dustproof net, a mounting seat, a guide post, a clamping block and a second spring; the clamping block can be pulled out of the clamping groove of the mounting frame by pulling the guide post, the second springs are compressed, the mounting frame is pushed to move upwards along the accommodating groove by the resilience acting force of the first springs, and a user can slide out the mounting frame from the accommodating groove to take out the dust screen; when the dust screen is installed, the holding tank is kept away from through the pulling guide post earlier, and the installing frame slides in the holding tank again to press the installing frame and compress a plurality of first springs, loosen the guide post at last, the second spring can reconversion and push the clamping block into the clamping groove, thereby fix the installing frame, and then realize quick dismantlement and installation to the dust screen.

Description

Automatic content recommendation method and terminal based on user behaviors
Technical Field
The invention relates to the technical field of automatic content recommendation terminals, in particular to an automatic content recommendation method and a terminal based on user behaviors.
Background
In daily life, people rely on the internet more and more highly, people can obtain interesting information through the internet, and the internet also can carry out the recommendation of network content to people through automatic content recommendation terminal, and people of being convenient for look over. At present, dust screens are installed on existing automatic content recommendation terminals, but the dust screens are inconvenient to disassemble, so that the dust screens are inconvenient to replace and clean.
Disclosure of Invention
The invention aims to provide an automatic content recommendation terminal based on user behaviors, and aims to solve the problem that a dust screen of an existing automatic content recommendation terminal is inconvenient to detach.
In order to achieve the above object, in a first aspect, the present invention provides an automatic content recommendation terminal based on user behavior, including a housing, a door panel, two dust-proof components, and a content recommendation processor; the shell is provided with two accommodating grooves and a plurality of vent holes; the door plate is hinged with the shell and is positioned on the side edge of the shell; the dustproof assembly comprises a plurality of first springs, a mounting frame, a dustproof net, a mounting seat, a guide post, a clamping block and a second spring; the first springs are fixedly connected with the shell respectively and are positioned in the accommodating grooves respectively; the mounting frame is connected with the shell in a sliding mode and is located in the accommodating groove, and the mounting frame is provided with a clamping groove; the dustproof net is fixedly connected with the mounting frame and is positioned in the mounting frame; the mounting seat is fixedly connected with the shell and is positioned on the side edge of the shell; the guide post is connected with the mounting seat in a sliding manner and penetrates through the mounting seat; one end of the fixture block is fixedly connected with the guide post, and one end of the fixture block, which is far away from the guide post, is positioned in the clamping groove; the second spring is fixedly connected with the mounting seat, is penetrated by the guide post and is positioned between the mounting seat and the clamping block; the content recommendation processor is fixedly connected with the shell and is positioned inside the shell.
The automatic content recommendation terminal based on the user behaviors further comprises a plurality of waterproof boards; the waterproof plates are fixedly connected with the shell respectively and are positioned on the side edges of the shell respectively.
Wherein, the dustproof assembly also comprises an anti-abrasion block; the anti-abrasion block is fixedly connected with the guide post and is positioned at one end, far away from the fixture block, of the guide post.
The automatic content recommendation terminal based on the user behaviors further comprises two foot pads; the two foot pads are respectively and fixedly connected with the shell and are respectively positioned below the shell.
The foot pad comprises a limiting plate, a base and a plurality of third springs; the limiting plate is fixedly connected with the shell and is positioned below the shell; the base is connected with the limiting plate in a sliding mode and is positioned on one side, away from the shell, of the limiting plate, and the base is provided with a limiting groove; the third springs are respectively fixedly connected with the base and the limiting plate and are respectively positioned in the limiting grooves.
Wherein, the foot pad also comprises an anti-skid pad; the non-slip mat is fixedly connected with the base and is positioned on one side, far away from the limiting plate, of the base.
The automatic content recommendation terminal based on the user behaviors further comprises a sealing strip; the sealing strip is fixedly connected with the door panel and is positioned on one side of the door panel close to the shell.
The content recommendation processor comprises a data acquisition module, a keyword extraction module, a keyword classification module and a content recommendation module; the data acquisition module, the keyword extraction module, the keyword classification module and the content recommendation module are sequentially connected.
In a second aspect, the invention further provides an automatic content recommendation method based on user behavior, which includes collecting user search information and browsing information through a data collection module; extracting keywords frequently appearing in a user search text and a browsed webpage through a keyword extraction module; classifying the extracted keywords through a keyword classification module; and recommending the network content with the maximum access number in the category of the extracted keywords to the user through a content recommending module.
According to the automatic content recommendation method and the terminal based on the user behaviors, dust can be prevented from entering the shell from the plurality of vent holes through the dust screen, so that the content recommendation processor is prevented from being damaged by the dust. When the dustproof net is disassembled, the fixture block can be pulled out of the clamping groove of the mounting frame by pulling the guide post, the second spring is compressed, the mounting frame is pushed to move upwards along the accommodating groove by the resilience acting force of the first springs, and a user can take out the dustproof net by sliding the mounting frame out of the accommodating groove; when the dustproof net is installed, the guide columns are pulled to enable the guide columns to be far away from the containing groove, then the installing frame slides into the containing groove, the installing frame is pressed to enable the first springs to be compressed and loosened, the guide columns are loosened, the second springs can restore to the original state and push the clamping blocks into the clamping grooves, and therefore the installing frame is fixed and can be detached and installed quickly. The ventilation holes can keep the air circulation inside the shell, and the content recommendation processor is prevented from being damaged due to overhigh temperature. The waterproof boards can guide water falling from a high place, and the damage of the content recommendation processor caused by the water flowing into the shell from the vent holes is prevented. The shell can be sealed by rotating the door plate, so that the dustproof effect is improved. The shell can be supported by the base and the limiting plate, so that the shell is not in contact with the ground or a table top, and moisture or steam is prevented from entering the shell to damage the content recommendation processor; the plurality of springs can provide a buffering effect when the shell vibrates, so that the vibration amplitude is reduced, and the content recommendation processor is protected from being damaged; the limiting plate can be prevented from falling off from the base through the limiting groove. Through the content recommendation processor, the keywords in the network content favored by the user can be extracted, the keywords are classified, and finally the network content with the highest access amount in the category of the keywords is recommended to the user, so that the use comfort of the user is improved. Through the mode, the dust screen can be conveniently disassembled and installed, so that the dust screen is convenient to clean and replace.
Drawings
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 schematic diagram of an automatic content recommendation terminal according to the present invention;
FIG. 2 is a schematic diagram of another structure of an automatic content recommendation terminal based on user behavior according to the present invention;
FIG. 3 is a front sectional view of an automatic content recommendation terminal based on user behavior in accordance with the present invention;
FIG. 4 is a schematic diagram of the structure of a content recommendation processor of the present invention;
FIG. 5 is a flow chart of a method for automatic content recommendation based on user behavior in accordance with the present invention.
1-shell, 2-door plate, 3-dustproof component, 4-content recommendation processor, 5-waterproof plate, 6-foot pad, 7-sealing strip, 8-heat dissipation component, 10-accommodating groove, 11-vent hole, 31-first spring, 32-mounting frame, 33-dustproof net, 34-mounting seat and 35-guide column, 36-fixture block, 37-second spring, 38-anti-wear block, 41-data acquisition module, 42-keyword extraction module, 43-keyword classification module, 44-content recommendation module, 61-limit plate, 62-base, 63-third spring, 64-anti-skid pad, 81-heat dissipation fan, 82-filter screen, 320-clamp groove and 620-limit groove.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 to 4, the present invention provides an automatic content recommendation terminal based on user behavior: the device comprises a shell 1, a door plate 2, two dustproof components 3 and a content recommendation processor 4; the housing 1 has two receiving grooves 10 and a plurality of vent holes 11; the door panel 2 is hinged with the shell 1 and is positioned on the side of the shell 1; the dustproof assembly 3 comprises a plurality of first springs 31, a mounting frame 32, a dustproof net 33, a mounting seat 34, a guide post 35, a fixture block 36 and a second spring 37; the first springs 31 are respectively fixedly connected with the housing 1 and respectively positioned in the accommodating grooves 10; the mounting frame 32 is slidably connected with the housing 1 and is located in the accommodating groove 10, and the mounting frame 32 has a clamping groove 320; the dust screen 33 is fixedly connected with the mounting frame 32 and is positioned inside the mounting frame 32; the mounting seat 34 is fixedly connected with the shell 1 and is positioned on the side of the shell 1; the guide column 35 is connected with the mounting seat 34 in a sliding manner and penetrates through the mounting seat 34; one end of the latch 36 is fixedly connected with the guide post 35, and one end of the latch 36, which is far away from the guide post 35, is located in the slot 320; the second spring 37 is fixedly connected with the mounting seat 34, is penetrated by the guide post 35, and is positioned between the mounting seat 34 and the latch 36; the content recommendation processor 4 is fixedly connected with the housing 1 and is positioned inside the housing 1.
In the present embodiment, the dust-proof net 33 prevents dust from entering the housing 1 through the plurality of ventilation holes 11, thereby preventing the content recommendation processor 4 from being damaged by dust. When the dust screen 33 is detached, the fixture block 36 can be pulled out from the fixture groove 320 of the mounting frame 32 by pulling the guide post 35, and the second spring 37 is compressed, at this time, the mounting frame 32 is pushed to move upwards along the accommodating groove 10 by the resilience force of the plurality of first springs 31, and a user can take out the dust screen 33 by sliding the mounting frame 32 out of the accommodating groove 10; installation during dust screen 33, earlier through the pulling guide post 35 makes guide post 35 keeps away from holding tank 10 will install frame 32 slides in the holding tank 10, and press install frame 32 makes it a plurality of first spring 31 compresses, loosens at last guide post 35, second spring 37 can the reconversion and will fixture block 36 pushes into in the draw-in groove 320, thereby will install frame 32 is fixed, and then can realize right the quick dismantlement of dust screen 33 and installation. The inside of the housing 1 can be kept in air circulation by the plurality of ventilation holes 11, and the content recommendation processor 4 is prevented from being damaged due to excessive temperature. The shell 1 can be sealed by rotating the door plate 2, and the dustproof effect is improved. Through the content recommendation processor 4, the keywords in the network content favored by the user can be extracted, the keywords are classified, and finally the network content with the highest access amount in the category where the keywords are located is recommended to the user, so that the use comfort of the user is improved. In this way, the dust screen 33 can be conveniently detached and installed, so that the dust screen 33 can be conveniently cleaned and replaced.
Further, the automatic content recommendation terminal based on user behavior further comprises a plurality of waterproof boards 5; the waterproof plates 5 are fixedly connected with the shell 1 respectively and are positioned on the side edges of the shell 1 respectively.
In the present embodiment, the plurality of waterproof sheets 5 can guide water falling from a high place, and prevent water from flowing into the housing 1 through the vent holes 11 and damaging the content recommendation processor 4.
Further, the dust-proof assembly 3 further comprises a wear block 38; the wear-proof block 38 is fixedly connected with the guide post 35 and is located at one end of the guide post 35 far away from the fixture block 36.
In this embodiment, the wear-proof block 38 can facilitate the user to pull the guide post 35, so as to avoid sliding when pulling the guide post 35.
Further, the automatic content recommendation terminal based on user behaviors further comprises two foot pads 6; the two foot pads 6 are respectively and fixedly connected with the shell 1 and are respectively positioned below the shell 1.
In this embodiment, the casing 1 can be supported by the two foot pads 6 so that the casing 1 does not contact the ground or the table, and moisture or vapor is prevented from entering the casing 1 and damaging the content recommendation processor 4.
Further, the stepping pad 6 comprises a limiting plate 61, a base 62 and a plurality of third springs 63; the limiting plate 61 is fixedly connected with the shell 1 and is positioned below the shell 1; the base 62 is connected with the limit plate 61 in a sliding manner and is positioned on one side of the limit plate 61 away from the shell 1, and the base 62 is provided with a limit groove 620; the third springs 63 are respectively fixedly connected with the base 62 and the limiting plate 61 and are respectively located in the limiting grooves 620.
In this embodiment, the housing 1 can be supported by the base 62 and the stopper plate 61 so that the housing 1 does not contact the ground or the table, and moisture or vapor is prevented from entering the housing 1 and damaging the content recommendation processor 4; the plurality of third springs 63 can provide a buffering effect when the housing 1 vibrates, and reduce the vibration amplitude, so that the content recommendation processor 4 is protected from being damaged; the stopper plate 61 can be prevented from falling off from the base 62 by the stopper groove 620.
Further, the foot pad 6 further comprises a non-slip pad 64; the non-slip mat 64 is fixedly connected with the base 62 and is positioned on one side of the base 62 far away from the limiting plate 61.
In the present embodiment, the anti-slip effect of the base 62 can be improved by the anti-slip pad 64, and the housing 1 can be prevented from slipping.
Further, the automatic content recommendation terminal based on user behavior further comprises a sealing strip 7; the sealing strip 7 is fixedly connected with the door panel 2 and is positioned on one side of the door panel 2 close to the shell 1.
In the present embodiment, the sealing effect of the door panel 2 on the housing 1 can be improved by the weather strip 7, and the dust-proof effect can be further improved.
Further, the content recommendation processor 4 includes a data collection module 41, a keyword extraction module 42, a keyword classification module 43, and a content recommendation module 44; the data collection module 41, the keyword extraction module 42, the keyword classification module 43, and the content recommendation module 44 are connected in sequence.
In the present embodiment, the data acquisition module 41 can be used to acquire search information and browsing information when a user uses the internet; the keyword extraction module 42 can be used for extracting frequently-occurring keywords in the search content and the browse content of the user; the extracted keywords are classified into one of "news", "sports", "social", "video", "music", etc. by the keyword classification module 43; and recommending the network content with the highest access amount in the category of the keyword to the user by using the content recommending module 44, so as to provide more accurate network content recommendation for the user according to the user preference.
Further, the automatic content recommendation terminal based on user behavior further comprises a heat dissipation component 8; the heat dissipation assembly 8 is fixedly connected with the housing 1 and is located above the housing 1.
In this embodiment, the heat dissipation assembly 8 can blow air to dissipate heat inside the casing 1, so as to prevent the content recommendation processor 4 from being damaged due to an excessively high temperature.
Further, the heat dissipation assembly 8 includes a heat dissipation fan 81 and a filter screen 82; the heat radiation fan 81 is fixedly connected with the shell 1 and is positioned above the shell 1; the filter screen 82 is fixedly connected with the housing 1 and is located on one side of the housing 1 close to the heat dissipation fan 81.
In the present embodiment, the heat dissipation fan 81 can blow air to dissipate heat inside the casing 1, so as to prevent the content recommendation processor 4 from being damaged due to an excessively high temperature; the filter screen 82 prevents dust or foreign matter from being blown into the housing 1 by the heat dissipation fan 81.
In a second aspect, referring to fig. 5, the present invention further provides an automatic content recommendation method based on user behavior, including:
s101, collecting user searching information and browsing information through a data collecting module 41;
the data collection module 41 is used for collecting search information and browsing information when the user uses the internet.
S102, extracting frequently-appearing keywords in a user search text and a browsed webpage through the keyword extraction module 42;
the keyword extraction module 42 is utilized to perform screening extraction on frequently occurring keywords in the user search content and the browsing content.
S103, classifying the extracted keywords through the keyword classification module 43;
the extracted keywords are classified into one of "news", "sports", "society", "video", "music", and the like, using the keyword classification module 43.
S104, recommending the network content with the largest number of visits in the category of the extracted keywords to the user through the content recommending module 44.
The content recommending module 44 is utilized to recommend the network content with the highest access amount in the category where the keyword is located to the user, and the network content with the high access amount generally has better content quality and is easier to be favored by the user.
The working principle and the using process of the invention are as follows: after the present invention is installed, dust can be prevented from entering the housing 1 from the plurality of ventilation holes 11 by the dust-proof net 33, thereby preventing the content recommendation processor 4 from being damaged by dust. When the dust screen 33 is detached, the fixture block 36 can be pulled out from the fixture groove 320 of the mounting frame 32 by pulling the guide post 35, and the second spring 37 is compressed, at this time, the mounting frame 32 is pushed to move upwards along the accommodating groove 10 by the resilience force of the plurality of first springs 31, and a user can take out the dust screen 33 by sliding the mounting frame 32 out of the accommodating groove 10; installation during dust screen 33, earlier through the pulling guide post 35 makes guide post 35 keeps away from holding tank 10 will install frame 32 slides in the holding tank 10, and press install frame 32 makes it a plurality of first spring 31 compresses, loosens at last guide post 35, second spring 37 can the reconversion and will fixture block 36 pushes into in the draw-in groove 320, thereby will install frame 32 is fixed, and then can realize right the quick dismantlement of dust screen 33 and installation. The inside of the housing 1 can be kept in air circulation by the plurality of ventilation holes 11, and the content recommendation processor 4 is prevented from being damaged due to excessive temperature. The waterproof boards 5 can guide water falling from a high place, and prevent the water from flowing into the housing 1 from the vent holes 11 to damage the content recommendation processor 4. The shell 1 can be sealed by rotating the door plate 2, and the dustproof effect is improved. The casing 1 can be supported by the base 62 and the stopper plate 61 so that the casing 1 does not contact the ground or the table surface, and moisture or vapor is prevented from entering the casing 1 to damage the content recommendation processor 4; the plurality of third springs 63 can provide a buffering effect when the housing 1 vibrates, and reduce the vibration amplitude, so that the content recommendation processor 4 is protected from being damaged; the stopper plate 61 can be prevented from falling off from the base 62 by the stopper groove 620. Through the content recommendation processor 4, the keywords in the network content favored by the user can be extracted, the keywords are classified, and finally the network content with the highest access amount in the category where the keywords are located is recommended to the user, so that the use comfort of the user is improved. In this way, the dust screen 33 can be conveniently detached and installed, so that the dust screen 33 can be conveniently cleaned and replaced.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (9)

1. An automatic content recommendation terminal based on user behaviors is characterized by comprising a shell, a door plate, two dustproof assemblies and a content recommendation processor; the shell is provided with two accommodating grooves and a plurality of vent holes; the door plate is hinged with the shell and is positioned on the side edge of the shell; the dustproof assembly comprises a plurality of first springs, a mounting frame, a dustproof net, a mounting seat, a guide post, a clamping block and a second spring; the first springs are fixedly connected with the shell respectively and are positioned in the accommodating grooves respectively; the mounting frame is connected with the shell in a sliding mode and is located in the accommodating groove, and the mounting frame is provided with a clamping groove; the dustproof net is fixedly connected with the mounting frame and is positioned in the mounting frame; the mounting seat is fixedly connected with the shell and is positioned on the side edge of the shell; the guide post is connected with the mounting seat in a sliding manner and penetrates through the mounting seat; one end of the fixture block is fixedly connected with the guide post, and one end of the fixture block, which is far away from the guide post, is positioned in the clamping groove; the second spring is fixedly connected with the mounting seat, is penetrated by the guide post and is positioned between the mounting seat and the clamping block; the content recommendation processor is fixedly connected with the shell and is positioned inside the shell.
2. The automatic content recommendation terminal based on user behavior according to claim 1, characterized in that said automatic content recommendation terminal based on user behavior further comprises a plurality of waterproof boards; the waterproof plates are fixedly connected with the shell respectively and are positioned on the side edges of the shell respectively.
3. The automatic content recommendation terminal based on user behavior of claim 2, wherein said dust-proof assembly further comprises a wear block; the anti-abrasion block is fixedly connected with the guide post and is positioned at one end, far away from the fixture block, of the guide post.
4. The automatic content recommendation terminal based on user behavior according to claim 3, characterized in that said automatic content recommendation terminal based on user behavior further comprises two foot pads; the two foot pads are respectively and fixedly connected with the shell and are respectively positioned below the shell.
5. The automatic content recommendation terminal based on user behavior as claimed in claim 4, wherein the foot rest comprises a limiting plate, a base and a plurality of third springs; the limiting plate is fixedly connected with the shell and is positioned below the shell; the base is connected with the limiting plate in a sliding mode and is positioned on one side, away from the shell, of the limiting plate, and the base is provided with a limiting groove; the third springs are respectively fixedly connected with the base and the limiting plate and are respectively positioned in the limiting grooves.
6. The automatic content recommendation terminal based on user behavior as claimed in claim 5, wherein said foot pad further comprises a non-slip pad; the non-slip mat is fixedly connected with the base and is positioned on one side, far away from the limiting plate, of the base.
7. The automatic content recommendation terminal based on user behavior according to claim 6, wherein said automatic content recommendation terminal based on user behavior further comprises a sealing strip; the sealing strip is fixedly connected with the door panel and is positioned on one side of the door panel close to the shell.
8. The automatic content recommendation terminal based on user behavior as claimed in claim 7, wherein said content recommendation processor comprises a data collection module, a keyword extraction module, a keyword classification module and a content recommendation module; the data acquisition module, the keyword extraction module, the keyword classification module and the content recommendation module are sequentially connected.
9. An automatic content recommendation method based on user behavior, applied to the automatic content recommendation terminal based on user behavior as claimed in claim 8, comprising:
collecting user searching information and browsing information through a data collection module;
extracting keywords frequently appearing in a user search text and a browsed webpage through a keyword extraction module;
classifying the extracted keywords through a keyword classification module;
and recommending the network content with the maximum access number in the category of the extracted keywords to the user through a content recommending module.
CN202110186617.7A 2021-02-18 2021-02-18 Automatic content recommendation method and terminal based on user behaviors Pending CN112783295A (en)

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