CN114756745A - Intelligent information recommendation method and device based on big data analysis - Google Patents
Intelligent information recommendation method and device based on big data analysis Download PDFInfo
- Publication number
- CN114756745A CN114756745A CN202210315171.8A CN202210315171A CN114756745A CN 114756745 A CN114756745 A CN 114756745A CN 202210315171 A CN202210315171 A CN 202210315171A CN 114756745 A CN114756745 A CN 114756745A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- module
- intelligent
- data analysis
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000007405 data analysis Methods 0.000 title claims abstract description 25
- 238000000605 extraction Methods 0.000 claims abstract description 13
- 239000000284 extract Substances 0.000 claims abstract description 8
- 230000000712 assembly Effects 0.000 claims abstract description 4
- 238000000429 assembly Methods 0.000 claims abstract description 4
- 230000000149 penetrating effect Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000010365 information processing Effects 0.000 description 3
- 238000003780 insertion Methods 0.000 description 3
- 230000037431 insertion Effects 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 230000002633 protecting effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect 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
- G06F16/95—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
- G06F16/906—Clustering; Classification
-
- 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
- G06F16/9536—Search customisation based on social or collaborative filtering
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses an intelligent information recommendation method and device based on big data analysis, and relates to the technical field of intelligent information recommendation methods; in order to improve the pushing effect during active retrieval; the method is realized based on an intelligent information recommendation system, and the system comprises the following steps: the information receiving module is used for receiving information transmitted by a user, and the information comprises search information and uploading information; the information extraction module is used for extracting information transmitted by a user; the device is the server protection device of the intelligent information recommendation system, and the device comprises: the fixing assemblies are used for being fixed on two sides of the equipment; the pincher trees area, pincher trees area both ends are fixed in between two fixed subassemblies. The method can extract and classify corresponding keywords according to the information transmitted by the user to generate the user portrait, is continuous and complete, achieves intelligent information pushing, is good in pushing effect, enables the information in the user portrait to be time-efficient, and further guarantees the pushing effect.
Description
Technical Field
The invention relates to the technical field of intelligent information recommendation methods, in particular to an intelligent information recommendation method and device based on big data analysis.
Background
The information push is a new technology for periodically transmitting information required by a user on the internet through a certain technical standard or protocol; push technology reduces the time for searching on a network by transmitting information to a user; the system searches and filters information according to the interest of the user, and pushes the information to the user regularly, thereby helping the user to efficiently explore valuable information; although information push can actively provide information which may be required by a user, information display cannot be performed more accurately when the user actively searches, and therefore improvement is needed.
Through retrieval, the patent with the Chinese patent application number of CN201611004298.9 discloses an information pushing method and an information pushing platform; the method comprises the following steps: the method comprises the steps that a terminal information acquisition system acquires terminal identification information of a mobile terminal user and sends the terminal identification information to an information processing system; the information pushing configuration system generates information to be pushed and an information pushing area according to merchant information submitted by a merchant user, and sends the information to be pushed and the information pushing area to the information processing system; the information processing system determines the current geographical position of the mobile terminal user according to the received terminal identification information, and pushes the information to be pushed to the mobile terminal user when the current geographical position belongs to the information pushing area. The information push method in the above patent has the following disadvantages: although the active information pushing is realized, the information display can not be more accurately carried out according to the personal hobbies and characteristics of the user when the user actively searches.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an intelligent information recommendation method and device based on big data analysis.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent information recommendation method based on big data analysis is realized based on an intelligent information recommendation system, and the system comprises:
the information receiving module is used for receiving information transmitted by a user, and the information comprises search information and uploading information;
the information extraction module is used for extracting information transmitted by a user;
the user portrait generation module is used for realizing the generation and the updating of the user portrait according to the search information of the user;
the information completion module is used for performing information completion on the extracted search information based on the user portrait;
the information retrieval module is used for retrieving information according to the completed information;
the category division module is used for carrying out category division according to the information extracted by the extraction module;
and the storage library module is used for storing the uploading information of the user.
Preferably: the intelligent information recommendation method comprises the following steps:
s1: the user side submits search information;
s2: the information receiving module receives the information;
S3: the information extraction module extracts keywords from the received information;
s4: the information completion module performs information completion on the extracted search information based on the user portrait;
s5: the information retrieval module carries out information retrieval according to the completed information;
s6: and pushing the retrieval result to the user side.
Further: and when the user portrait is not formed, skipping the information complementing step of the information complementing module, and directly searching by the information searching module according to the key words.
Further preferred is: the user representation generation method comprises the following steps:
s11: a user side submits search information or uploading information;
s12: the information receiving module receives the information;
s13: the information extraction module extracts keywords from the received information;
s14: the classification module classifies the information according to the extracted keywords, and the classified information is stored in the repository module; meanwhile, a category mark is given to the user side;
s15: and when the number of the same type marks of the user side is more than 5, generating a user portrait, and writing a keyword corresponding to the type into the user portrait.
As a preferable aspect of the present invention: updating the content in the user portrait in real time, writing the key words corresponding to the category into the user portrait whenever the number of the category marks is more than 5, wherein the validity period of the content in the user portrait is 7-14 days;
And selecting a keyword close to the search information for completing in the information completing process of the extracted search information by the information completing module based on the user portrait.
And further: when the user side transmits information, user ID information is uploaded together, and the user ID information comprises user identity information, user portrait information and category label information; the user identity information is Dx, the user portrait information is H, and the category marking information is respectively as follows according to categories:
AN1at this time N1Number of labels for class A (i.e., A1, A2 … … AN);
BN2at this time N2Number of labels for class B (i.e., B1, B2 … … B5);
……
MNaat this time NaNumber of labels for class M (i.e., M1, M2 … … M5);
when N is presentaWhen > 5, mark the corresponding category as MNaIncluding in the user portrait information X;
at this time, the ID information uploaded by the user is: DxH (MN)a)，(Na＞5)；
The information retrieval module is based on DxH (MN) when recommending informationa) MN (B)aAnd recommending information to the user side corresponding to the Dx.
A device of an intelligent information recommendation method based on big data analysis is a server protection device of the intelligent information recommendation system, and comprises:
the fixing assemblies are used for being fixed on two sides of the equipment;
The two ends of the folding belt are fixed between the two fixing components;
wherein, fixed subassembly includes:
the outer wall of one side of the fixing plate is provided with an installation groove;
the sucking disc, sucking disc detachable installs in the mounting groove.
As a still further scheme of the invention: the outer wall of one side of each fixing plate is provided with a fixing cylinder, the crumple belt is provided with a through hole, an elastic rope penetrates through the through hole, and two ends of the elastic rope penetrate through the through holes of the crumple belt and then are installed in the fixing cylinders of the two fixing plates; the inner wall of one side of the fixed cylinder is connected with a jackscrew for fixing the elastic rope through threads.
On the basis of the scheme: the outer wall of the top of the fixed plate is provided with an insertion hole, and the outer wall of the bottom of the fixed plate is detachably provided with an insertion rod through threads; one fixing plate is detachably arranged in the jack of the other fixing plate through the inserted rod.
On the basis of the foregoing scheme, it is preferable that: the fixing device is characterized in that a fixing frame is fixed on the outer wall of one side of the fixing plate, a threaded seat is arranged on the fixing frame, a fixing knob is connected in the threaded seat through threads, and a fixing disc is fixed at one end of the fixing knob.
The invention has the beneficial effects that:
1. the method can extract and classify corresponding keywords according to the information transmitted by the user to generate the user portrait, is continuous and complete, achieves intelligent information pushing, is good in pushing effect, enables the information in the user portrait to be time-efficient, and further guarantees the pushing effect.
2. According to the device, the two fixing components can be arranged on two sides of the equipment, so that the equipment is effectively protected by the crumple zone; in addition, the pincher trees area can be better the not unidimensional equipment of adaptation, has promoted the flexibility of use.
3. The device can utilize the elastic rope to reliably support the crumpled belt, improves the protection effect, can adjust the tightness and the effective length of the elastic rope according to actual conditions, improves the use flexibility, and can splice a plurality of fixing plates and the crumpled belt for use, thereby improving the protection area and ensuring the protection effect.
Drawings
Fig. 1 is a schematic structural diagram of an apparatus of an intelligent information recommendation method based on big data analysis according to the present invention;
FIG. 2 is a schematic structural diagram of a device part of an intelligent information recommendation method based on big data analysis according to the present invention;
FIG. 3 is a schematic structural diagram of a fixed component in the device of the intelligent information recommendation method based on big data analysis according to the present invention;
fig. 4 is a schematic structural diagram of a split fixed component in the device for intelligent information recommendation method based on big data analysis according to the present invention;
FIG. 5 is a flowchart of an intelligent information recommendation method in an intelligent information recommendation method based on big data analysis according to the present invention;
FIG. 6 is a flowchart of a method for generating a user image in an intelligent information recommendation method based on big data analysis according to the present invention.
In the figure: the device comprises a fixing plate 1, a fixing knob 2, an elastic rope 3, a crease belt 4, a fixing barrel 5, a jack 6, a fixing frame 7, a jackscrew 8, a sucking disc 9, a mounting groove 10, an insertion rod 11, a fixing disc 12 and a thread seat 13.
Detailed Description
The technical solution of the present patent will be further described in detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are illustrative only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
In the description of this patent, it is to be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientations and positional relationships indicated in the figures, which are based on the orientations and positional relationships shown in the figures, and are used for convenience in describing the patent and for simplicity in description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore should not be construed as limiting the patent.
In the description of this patent, it is noted that unless otherwise specifically stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can include, for example, fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meaning of the above terms in this patent may be understood by one of ordinary skill in the art as appropriate.
Example 1:
an intelligent information recommendation method based on big data analysis is realized based on an intelligent information recommendation system, and the system comprises:
the information receiving module is used for receiving information transmitted by a user, and the information comprises search information and uploading information;
the information extraction module is used for extracting information transmitted by a user;
the user portrait generation module is used for realizing generation and updating of the user portrait according to the search information of the user;
the information completion module is used for performing information completion on the extracted search information based on the user portrait;
the information retrieval module is used for retrieving information according to the completed information;
the category division module is used for carrying out category division according to the information extracted by the extraction module;
And the storage library module is used for storing the uploading information of the user.
In order to perform information recommendation well, the intelligent information recommendation method comprises the following steps:
s1: the user side submits search information;
s2: the information receiving module receives the information;
s3: the information extraction module extracts keywords from the received information;
s4: the information completion module performs information completion on the extracted search information based on the user portrait;
s5: the information retrieval module carries out information retrieval according to the completed information;
s6: and pushing the retrieval result to the user side.
When the user portrait is not formed, the information complementing step of the information complementing module is skipped, and the information searching module directly searches according to the key words.
The user representation generation method comprises the following steps:
s11: a user side submits search information or uploading information;
s12: the information receiving module receives the information;
s13: the information extraction module extracts keywords from the received information;
s14: the classification module classifies the information according to the extracted keywords, and the classified information is stored in the repository module; meanwhile, a category mark is given to the user side;
S15: and when the number of the same type marks of the user side is more than 5, generating a user portrait, and writing a keyword corresponding to the type into the user portrait.
The content in the user portrait is updated in real time, when the number of one category label is larger than 5, the keyword corresponding to the category is written into the user portrait, and the validity period of the content in the user portrait is 7-14 days;
selecting keywords close to the search information for completing in the information completing process of the extracted search information by an information completing module based on the user portrait;
specifically, in order to better recommend information, the user side uploads user ID information during information transmission, wherein the user ID information comprises user identity information, user portrait information and category label information; the user identity information is Dx, the user portrait information is H, and the category marking information is respectively as follows according to categories:
AN1at this time N1Number of labels for class A (i.e., A1, A2 … … AN);
BN2at this time N2Number of labels for class B (i.e., B1, B2 … … B5);
……
MNaat this time NaNumber of labels for class M (i.e., M1, M2 … … M5);
when N is presentaWhen > 5, mark the corresponding category as MNaIncluding in the user portrait information X;
At this time, the ID information uploaded by the user is: DxH (MN)a)，(Na＞5)；
The information retrieval module is based on DxH (MN) when recommending informationa) MN (B)aAnd recommending information to the user side corresponding to the Dx.
Example 2:
as shown in fig. 1 to 4, in order to protect equipment, an apparatus of an intelligent information recommendation method based on big data analysis is a server protection apparatus of the intelligent information recommendation system, and the apparatus includes:
the fixing assemblies are used for being fixed on two sides of the equipment;
the two ends of the crumple belt 4 are bonded between the two fixing components;
wherein the fixing assembly comprises:
the fixing plate comprises a fixing plate 1, wherein an installation groove 10 is formed in the outer wall of one side of the fixing plate 1;
the sucker 9, the sucker 9 is detachably mounted in the mounting groove 10;
by arranging the fixing components and the crumple belt 4, the two fixing components can be arranged on two sides of the equipment, so that the equipment can be effectively protected by the crumple belt 4; in addition, the crumple zone 4 can be better adapted to devices of different sizes, and the use flexibility is improved.
The outer wall of one side of each fixing plate 1 is integrally provided with a fixing cylinder 5, the crumpling belt 4 is provided with a through hole, an elastic rope 3 penetrates through the through hole, and two ends of the elastic rope 3 penetrate through the through holes of the crumpling belt 4 and then are installed in the fixing cylinders 5 of the two fixing plates 1; the inner wall of one side of the fixed cylinder 5 is connected with a jackscrew 8 for fixing the elastic rope 3 through threads;
Through setting up fixed cylinder 5, stretch cord 3 isotructure, can utilize stretch cord 3 to carry out reliable support to pincher trees area 4, promoted the protecting effect, and stretch cord 3's elasticity and effective length all can adjust according to actual conditions, have promoted the use flexibility.
The outer wall of the top of the fixed plate 1 is provided with a jack 6, and the outer wall of the bottom of the fixed plate 1 is detachably provided with an inserted rod 11 through threads; one fixing plate 1 is detachably arranged in the jack 6 of the other fixing plate 1 through the inserted rod 11;
through setting up jack 6 and inserted bar 11, can use a plurality of fixed plates 1, 4 concatenations in pincher trees area to promote the guard area, ensured the protecting effect.
The installation and fixation are convenient through different modes; a fixing frame 7 is fixed on the outer wall of one side of the fixing plate 1 through screws, a threaded seat 13 is integrally arranged on the fixing frame 7, a fixing knob 2 is connected in the threaded seat 13 through threads, and a fixing plate 12 is fixed at one end of the fixing knob 2 through screws;
through setting up fixed knob 2 and fixed disk 12, can make fixed disk 12 be close to fixed plate 1 through revolving fixed knob 2 soon, utilize fixed disk 12 and fixed plate 1 to play the fixed effect of centre gripping, satisfied the user demand under the different situation.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. An intelligent information recommendation method based on big data analysis is characterized by being realized based on an intelligent information recommendation system, and the system comprises the following steps:
the information receiving module is used for receiving information transmitted by a user, and the information comprises search information and uploading information;
the information extraction module is used for extracting information transmitted by a user;
the user portrait generation module is used for realizing the generation and the updating of the user portrait according to the search information of the user;
the information completion module is used for performing information completion on the extracted search information based on the user portrait;
the information retrieval module is used for retrieving information according to the completed information;
the category division module is used for carrying out category division according to the information extracted by the extraction module;
and the storage library module is used for storing the uploading information of the user.
2. The intelligent information recommendation method based on big data analysis as claimed in claim 1, wherein the intelligent information recommendation method comprises the following steps:
S1: the user side submits search information;
s2: the information receiving module receives the information;
s3: the information extraction module extracts keywords from the received information;
s4: the information completion module performs information completion on the extracted search information based on the user portrait;
s5: the information retrieval module carries out information retrieval according to the completed information;
s6: and pushing the retrieval result to the user side.
3. The intelligent information recommendation method based on big data analysis as claimed in claim 2, wherein when the user image is not formed, the information completion step of the information completion module is skipped, and the information retrieval module directly performs retrieval according to the keyword.
4. The intelligent information recommendation method based on big data analysis as claimed in claim 2, wherein the user representation generation method comprises the following steps:
s11: a user side submits search information or uploading information;
s12: the information receiving module receives the information;
s13: the information extraction module extracts keywords from the received information;
s14: the classification module classifies the information according to the extracted keywords, and the classified information is stored in the repository module; meanwhile, a category mark is given to the user side;
S15: and when the number of the same type marks of the user side is more than 5, generating a user portrait, and writing a keyword corresponding to the type into the user portrait.
5. The intelligent information recommendation method based on big data analysis as claimed in claim 4, wherein the content in the user representation is updated in real time, every time the number of the category labels is greater than 5, the keywords corresponding to the category are written into the user representation, and the validity period of the content in the user representation is 7-14 days;
and selecting a keyword close to the search information for completing in the information completing process of the extracted search information by the information completing module based on the user portrait.
6. The intelligent information recommendation method based on big data analysis as claimed in claim 5, wherein the user side uploads user ID information together when transmitting information, the user ID information includes user identity information, user portrait information and category label information; setting user identity information as Dx, user portrait information as H, and category marking information as follows according to categories:
AN1at this time N1Number of labels for class A (i.e., A1, A2 … … AN);
BN2at this time N2Number of labels for class B (i.e., B1, B2 … … B5);
……
MNaAt this time NaNumber of labels for class M (i.e., M1, M2 … … M5);
when N is presentaWhen > 5, mark the corresponding category as MNaIncluding in the user portrait information X;
at this time, the ID information uploaded by the user is: DxH (MN)a)，(Na＞5)；
The information retrieval module is based on DxH (MN) when recommending informationa) MN (B)aAnd recommending information to the user side corresponding to the Dx.
7. An apparatus of an intelligent information recommendation method based on big data analysis, wherein the apparatus is a server protection apparatus of the intelligent information recommendation system according to any one of claims 1 to 6, the apparatus comprising:
the fixing assemblies are used for being fixed on two sides of the equipment;
the two ends of the crumple belt (4) are fixed between the two fixing components;
wherein the fixing assembly comprises:
the fixing plate (1), the outer wall of one side of the fixing plate (1) is provided with a mounting groove (10);
the sucker (9), the sucker (9) is detachably arranged in the mounting groove (10).
8. The device for recommending intelligent information based on big data analysis according to claim 7, characterized in that a fixed cylinder (5) is arranged on the outer wall of one side of the fixed plate (1), the crumple belt (4) is provided with a through hole, an elastic cord (3) is threaded in the through hole, and both ends of the elastic cord (3) are installed in the fixed cylinders (5) of the two fixed plates (1) after penetrating through the through hole of the crumple belt (4); the inner wall of one side of the fixed cylinder (5) is connected with a jackscrew (8) used for fixing the elastic rope (3) through threads.
9. The device for recommending the intelligent information based on the big data analysis according to claim 8, characterized in that the outer wall of the top of the fixing plate (1) is provided with a jack (6), and the outer wall of the bottom of the fixing plate (1) is detachably provided with an inserted rod (11) through a thread; one fixing plate (1) is detachably arranged in the jack (6) of the other fixing plate (1) through the inserted rod (11).
10. The device for recommending the intelligent information based on the big data analysis according to claim 7, characterized in that a fixing frame (7) is fixed on the outer wall of one side of the fixing plate (1), a threaded seat (13) is arranged on the fixing frame (7), a fixing knob (2) is connected in the threaded seat (13) through a thread, and a fixing disc (12) is fixed at one end of the fixing knob (2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210315171.8A CN114756745A (en) | 2022-03-29 | 2022-03-29 | Intelligent information recommendation method and device based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210315171.8A CN114756745A (en) | 2022-03-29 | 2022-03-29 | Intelligent information recommendation method and device based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114756745A true CN114756745A (en) | 2022-07-15 |
Family
ID=82328230
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210315171.8A Pending CN114756745A (en) | 2022-03-29 | 2022-03-29 | Intelligent information recommendation method and device based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114756745A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824833A (en) * | 2015-01-07 | 2016-08-03 | 苏宁云商集团股份有限公司 | Keyword recommendation method and system based on user behavior feedback |
| CN110188186A (en) * | 2019-04-24 | 2019-08-30 | 平安科技（深圳）有限公司 | Content recommendation method, electronic device, equipment and the storage medium of medical field |
| CN111625726A (en) * | 2020-06-02 | 2020-09-04 | 小红书科技有限公司 | User portrait processing method and device |
| CN112184362A (en) * | 2020-09-04 | 2021-01-05 | 广州搜料信息技术有限公司 | Product searching fission pushing method and system based on big data and storage medium |
| WO2021017306A1 (en) * | 2019-07-30 | 2021-02-04 | 平安科技（深圳）有限公司 | Personalized search method, system, and device employing user portrait, and storage medium |
| CN112653908A (en) * | 2020-12-21 | 2021-04-13 | 四川长虹电器股份有限公司 | Intelligent television media asset real-time recommendation method |
| CN113275978A (en) * | 2021-05-08 | 2021-08-20 | 安徽霍仕达机电有限责任公司 | Intelligent rail grinding wagon |
| CN213992613U (en) * | 2020-09-29 | 2021-08-20 | 辽宁启福干细胞生物科技有限责任公司 | Novel medical protective tool |
| CN114139056A (en) * | 2021-12-01 | 2022-03-04 | 浪潮云信息技术股份公司 | Intelligent search recommendation method and system based on online learning course |
-
2022
- 2022-03-29 CN CN202210315171.8A patent/CN114756745A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824833A (en) * | 2015-01-07 | 2016-08-03 | 苏宁云商集团股份有限公司 | Keyword recommendation method and system based on user behavior feedback |
| CN110188186A (en) * | 2019-04-24 | 2019-08-30 | 平安科技（深圳）有限公司 | Content recommendation method, electronic device, equipment and the storage medium of medical field |
| WO2021017306A1 (en) * | 2019-07-30 | 2021-02-04 | 平安科技（深圳）有限公司 | Personalized search method, system, and device employing user portrait, and storage medium |
| CN111625726A (en) * | 2020-06-02 | 2020-09-04 | 小红书科技有限公司 | User portrait processing method and device |
| CN112184362A (en) * | 2020-09-04 | 2021-01-05 | 广州搜料信息技术有限公司 | Product searching fission pushing method and system based on big data and storage medium |
| CN213992613U (en) * | 2020-09-29 | 2021-08-20 | 辽宁启福干细胞生物科技有限责任公司 | Novel medical protective tool |
| CN112653908A (en) * | 2020-12-21 | 2021-04-13 | 四川长虹电器股份有限公司 | Intelligent television media asset real-time recommendation method |
| CN113275978A (en) * | 2021-05-08 | 2021-08-20 | 安徽霍仕达机电有限责任公司 | Intelligent rail grinding wagon |
| CN114139056A (en) * | 2021-12-01 | 2022-03-04 | 浪潮云信息技术股份公司 | Intelligent search recommendation method and system based on online learning course |
Non-Patent Citations (1)
| Title |
|---|
| 卢思佳等: ""基于画像分析的高校图书馆精准知识服务研究"", 《大学图书馆学报》, 30 September 2021 (2021-09-30), pages 1002 - 1027 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8315430B2 (en) | Object recognition and database population for video indexing | |
| KR101721338B1 (en) | Search engine and implementation method thereof | |
| US8856129B2 (en) | Flexible and scalable structured web data extraction | |
| CN110413875A (en) | A kind of method and relevant apparatus of text information push | |
| US9684649B2 (en) | Method and system for discovering suspicious account groups | |
| KR101605430B1 (en) | SYSTEM AND METHOD FOR BUINDING QAs DATABASE AND SEARCH SYSTEM AND METHOD USING THE SAME | |
| CN1936893B (en) | Method and system for generating input-method word frequency base based on internet information | |
| US8510308B1 (en) | Extracting semantic classes and instances from text | |
| CN102592116A (en) | Cloud computing application method, system and terminal equipment, and cloud computing platform | |
| CN106960030A (en) | Pushed information method and device based on artificial intelligence | |
| CN106383875A (en) | Artificial intelligence-based man-machine interaction method and device | |
| US8572024B2 (en) | Systems and methods for extracting information from structured documents | |
| CN106844685A (en) | Method, device and server for recognizing website | |
| CN103353875B (en) | Media interaction method based on visual search and system | |
| WO2019039673A1 (en) | Apparatus and method for automatically extracting product keyword information on basis of artificial intelligence-based web page analysis | |
| CN112579666B (en) | Intelligent question-answering system and method and related equipment | |
| CN113326413B (en) | Webpage information extraction method, system, server and storage medium | |
| CN105930490A (en) | Intelligent selecting system for teaching resources | |
| US20020176626A1 (en) | Image and video indexing scheme for content analysis | |
| CN114756745A (en) | Intelligent information recommendation method and device based on big data analysis | |
| CN110162769B (en) | Text theme output method and device, storage medium and electronic device | |
| CN115659969B (en) | Document labeling method, device, electronic equipment and storage medium | |
| CN111737288B (en) | Search control method, device, terminal equipment, server and storage medium | |
| CN113342953A (en) | Government affair question and answer method based on multi-model integration | |
| CN111666437A (en) | Image-text retrieval method and device based on local matching |
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 |