CN111859118A - Intelligent information recommendation method and device based on document directory - Google Patents
Intelligent information recommendation method and device based on document directory Download PDFInfo
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- CN111859118A CN111859118A CN202010568667.7A CN202010568667A CN111859118A CN 111859118 A CN111859118 A CN 111859118A CN 202010568667 A CN202010568667 A CN 202010568667A CN 111859118 A CN111859118 A CN 111859118A
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Abstract
The invention discloses an intelligent information recommendation method based on a document directory, which comprises the following steps: displaying the document directory; performing requirement identification on the expanded directory titles and document themes to form formal requirements; taking the formalized requirements as a parameter request server to generate a recommendation information list; and classifying and displaying the recommendation information list in groups. The invention aims to solve the problem that a single demand information recommendation mode cannot meet the requirement of batch demand information recommendation based on a document directory in a manuscript writing scene.
Description
Technical Field
The invention relates to the field of computer application, in particular to an intelligent information recommendation method and device based on a document directory.
Background
At present, people live in a digital age which increasingly depends on information, the rapid development of information industry and information technology is promoted by the electronic transmission, information production and consumption of various information resources, and the internet becomes an important source for people to obtain information and is an important medium for people to obtain information. However, the rapid growth of internet scale and information resources brings information overload, and people face the dilemma of "information is abundant but useful information is difficult to obtain", and it is increasingly difficult to effectively obtain information from the internet.
At present, a search engine is the most common device for assisting people in obtaining information, but the search engine can only meet the mainstream requirements, does not consider the personalized information requirements of users, and still cannot well solve the problem of information overload. An information recommendation system mainly applies various technologies and methods such as information retrieval, information filtering, data mining, artificial intelligence and the like to provide information push service for users, helps the users to screen information resources meeting personalized requirements of the users from mass information on the Internet, brings brand-new information service experience for the users, is a main means for solving the problem of information overload at present, can actively push useful information which is possibly needed by the users but can not be obtained on the basis of analyzing and predicting the requirements of the users, can take the users as centers, and can recommend more targeted information for the users by researching user behaviors, interests, environments and the like, namely, the information customized-on-demand service is realized, but in certain specific scenes, accurate information still can not be pushed for the users.
The search engine and the information pushing system solve the problem of certain information overload, but still cannot effectively solve the problem of systematically acquiring information data according to the document directory structure for the user when relating to the document compiling scene based on the document directory structure.
Disclosure of Invention
Based on the problems and the defects of the existing information resource acquisition mode, the invention aims to provide an intelligent information recommendation method and device based on a document directory for a user in a document compiling scene based on a document directory structure, and solve the problem that a single demand information recommendation mode cannot meet the requirement of batch demand information recommendation based on the document directory in the document compiling scene.
In order to achieve the purpose, the technical implementation scheme of the invention is as follows: the method for recommending the intelligent information based on the document directory comprises the following steps:
displaying the document directory;
performing requirement identification on the expanded directory titles and document themes to form formal requirements;
taking the formalized requirements as a parameter request server to generate a recommendation information list;
and classifying and displaying the recommendation information list in groups.
Specifically, the displayed document directory is an information recommendation area which analyzes and displays the document directory in a client according to a tree structure, and is suitable for document software such as Jinshan WPS, Yongzhong Office, Microsoft Word and the like.
Specifically, the step of performing requirement identification on the expanded catalog title and document theme to form a formal requirement refers to performing requirement identification on the catalog title and the document theme based on five elements to form a formal requirement based on five elements.
Specifically, the step of requesting the server to generate the recommendation information list by using the formal requirements as parameters refers to performing requirement identification on the expanded directory titles and document themes based on five elements to form the formal requirements based on the five elements, and sending the formal requirements to the server, wherein the server performs intelligent retrieval based on the formal requirements of the five elements to generate the recommendation information list and returns the recommendation information list to the client.
Specifically, the five elements include a subject, a behavior, an object, time and space, and the formal requirement based on the five elements is to convert a document directory title and a document theme into a related concept described based on the subject, the behavior, the object, the time and the space.
Specifically, the classifying and grouping display of the recommendation information list refers to classifying and grouping display of the information list to a corresponding document directory according to resource categories.
The invention also provides another intelligent information recommendation method based on the document directory, which comprises the following steps:
at the client:
displaying the document directory;
performing requirement identification on the expanded directory titles and document themes to form formal requirements;
sending a request with the formalized requirements as parameters to a server;
Classifying and displaying in groups aiming at the recommendation information list;
at the server:
receiving a request of a client with formalized requirements as parameters;
performing information retrieval on the request with the formalized requirement as a parameter to generate a recommendation information list;
and returning the recommendation information list generated based on the formalized requirement to the client.
The invention also provides an intelligent information recommendation device based on the document directory, which comprises:
the document directory display module is used for analyzing and displaying the document directory;
the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server;
the information receiving module is used for receiving a recommendation information list returned by the server;
and the information display module is used for analyzing and displaying the recommendation information returned by the server.
The invention also provides another intelligent information recommendation device based on the document directory, which is characterized by comprising the following components: a client and a server;
the client comprises:
the document directory display module is used for analyzing and displaying a document directory structure;
the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server;
The information receiving module is used for receiving a recommendation information list returned by the server;
the information display module is used for analyzing and displaying the recommendation information returned by the server;
the server includes:
the request receiving module is used for receiving a search request sent by a client, wherein the request carries a formalization requirement formed on the basis of a document directory title and a document theme;
the requirement identification module is used for identifying the requirements of the expanded catalog titles and the document themes to form formal requirements;
the information recommendation module is used for performing information matching query according to a specific matching algorithm and rules to generate a recommendation information list;
and the information sending module is used for sending the recommendation information list to the client so as to enable the client to analyze and display the recommendation information.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: according to the intelligent information recommendation method and device based on the document directory, accurate data materials are systematically pushed to the user in batch on the basis of the document directory structure through the application of the information resource recommendation technology, and the problem that a single demand information recommendation mode cannot meet the requirement of batch demand information recommendation based on the document directory in a draft writing scene is effectively solved.
Drawings
Fig. 1 is a flowchart illustrating an intelligent information recommendation method based on a document directory according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating an intelligent information recommendation method based on a document directory according to another embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an intelligent information recommendation device based on a document directory according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an intelligent information recommendation device based on a document directory according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
In a first embodiment, referring to fig. 1, a schematic flow chart of an implementation of an intelligent information recommendation method based on a document directory according to a first embodiment of the present invention includes the following steps:
Step S101: analyzing the document directory and displaying the document directory to a user;
step S102: performing requirement identification on the expanded directory titles and document themes to form formal requirements;
step S103: taking the formalized requirements as a parameter request server to generate a recommendation information list;
step S104: classifying and displaying in groups aiming at the recommendation information list;
in step S101, the document directory is analyzed and displayed in an information recommendation area of the client according to a tree structure, and is suitable for document software such as Jinshan WPS, Yongzhong Office, and Microsoft Word.
In step S102, the requirement identification is performed on the catalog title and the document theme based on five elements, and a formal requirement based on five elements is formed.
The five elements comprise a subject, a behavior, an object, time and space. The formalization requirement based on five elements is to convert the document catalogue title and the document theme into related concepts described based on subjects, behaviors, objects, time and space.
In step S103, the expanded catalog title and document theme are subjected to requirement identification based on five elements, a formal requirement based on five elements is formed, and the requirement is sent to the server, and the server performs intelligent retrieval based on the formal requirement of five elements, generates a recommendation information list, and returns the recommendation information list to the client.
In step S104, the information list is classified according to resource categories, grouped and displayed in the corresponding document directory.
Referring to fig. 2, a second embodiment of the present invention provides another intelligent information recommendation method based on a document directory, including:
at the client:
displaying the document directory;
performing requirement identification on the expanded directory titles and document themes to form formal requirements;
sending a request with the formalized requirements as parameters to a server;
receiving a recommendation information list returned by the server;
classifying and displaying in groups aiming at the recommendation information list;
at the server:
receiving a request of a client with formalized requirements as parameters;
performing information retrieval on the request with the formalized requirement as a parameter to generate a recommendation information list;
and returning the recommendation information list generated based on the formalized requirement to the client.
In a third embodiment, referring to fig. 3-4, a module structure diagram of an intelligent information recommendation device based on a document directory provided in the third embodiment of the present invention includes a client and a server, where:
the client comprises: the document directory display module is used for analyzing and displaying a document directory structure; the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server; the information receiving module is used for receiving a recommendation information list returned by the server; and the information display module is used for analyzing and displaying the recommendation information returned by the server.
The server then includes: the request receiving module is used for receiving a search request sent by a client, wherein the request carries a formalization requirement formed on the basis of a document directory title and a document theme; the requirement identification module is used for identifying the requirements of the expanded catalog titles and the document themes to form formal requirements; the information recommendation module is used for performing information matching query according to a specific matching algorithm and rules to generate a recommendation information list; and the information sending module is used for sending the recommendation information list to the client so as to enable the client to analyze and display the recommendation information.
Fig. 3 of this embodiment is a module structure of a client, and includes a document directory display module, a request sending module, an information receiving module, and an information display module.
In the module 1, the document directory display module is used for analyzing and displaying the document directory structure.
In the module 2, the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server.
In the module 3, the information receiving module is configured to receive the recommendation information list returned by the server.
In the module 4, the information display module is configured to parse and display the recommendation information returned by the server.
Fig. 4 of this embodiment is a server, which includes a request receiving module, a requirement identifying module, an information recommending module, and an information sending module.
In the module 1, the request receiving module is used for receiving a search request sent by a client, wherein the request carries a formalized requirement formed based on a document directory title and a document theme.
In the module 2, a requirement identification module is used for identifying the requirement of the expanded catalog title and the document theme to form a formalized requirement.
In the module 3, the information recommendation module is configured to perform information matching query according to a specific matching algorithm and rule, and generate a recommendation information list.
In the module 4, an information sending module is configured to send the recommendation information list to the client, so that the client parses and displays the recommendation information.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (9)
1. An intelligent information recommendation method based on a document directory is characterized by comprising the following steps:
displaying the document directory;
performing requirement identification on the expanded directory titles and document themes to form formal requirements;
taking the formalized requirements as a parameter request server to generate a recommendation information list;
and classifying and displaying the recommendation information list in groups.
2. The intelligent information recommendation method based on document directory as claimed in claim 1, wherein said displaying the document directory means that the document directory is parsed and displayed in an information recommendation area of the client according to a tree structure.
3. The intelligent information recommendation method based on document directory as claimed in claim 1, wherein the performing of demand identification on the expanded directory titles and document themes to form formal demands means performing demand identification on the directory titles and document themes based on five elements to form formal demands based on five elements.
4. The method for recommending intelligent information based on document directory as claimed in claim 1, wherein the step of requesting the server to generate the recommendation information list by using the formal requirement as a parameter means that the expanded directory title and the document theme are required to be identified based on five elements to form a formal requirement based on five elements, and the formal requirement is sent to the server, and the server performs intelligent retrieval based on the formal requirement of five elements to generate the recommendation information list and returns the recommendation information list to the client.
5. The intelligent information recommendation method based on document directory as claimed in claim 3 or 4, wherein the five elements comprise subject, behavior, object, time, space;
the formalization requirement based on five elements refers to the fact that the document directory title and the document theme are converted into related concepts which are described based on subjects, behaviors, objects, time and space.
6. The intelligent information recommendation method based on document directory as claimed in claim 1, wherein the classifying and displaying in groups for recommendation information list is to classify and display the information list in groups into corresponding document directory according to resource category.
7. An intelligent information recommendation method based on a document directory is characterized by comprising the following steps:
at the client:
displaying the document directory;
performing requirement identification on the expanded directory titles and document themes to form formal requirements;
sending a request with the formalized requirements as parameters to a server;
classifying and displaying in groups aiming at the recommendation information list;
at the server:
receiving a request of a client with formalized requirements as parameters;
performing information retrieval on the request with the formalized requirement as a parameter to generate a recommendation information list;
And returning the recommendation information list generated based on the formalized requirement to the client.
8. An intelligent information recommendation device based on document catalogue is characterized by comprising:
the document directory display module is used for analyzing and displaying the document directory;
the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server;
the information receiving module is used for receiving a recommendation information list returned by the server;
and the information display module is used for analyzing and displaying the recommendation information returned by the server.
9. An intelligent information recommendation device based on document catalogue is characterized by comprising: a client and a server;
the client comprises:
the document directory display module is used for analyzing and displaying a document directory structure;
the request sending module is used for sending the formalized requirement formed by the document directory title and the document theme to the server;
the information receiving module is used for receiving a recommendation information list returned by the server;
the information display module is used for analyzing and displaying the recommendation information returned by the server;
the server includes:
the request receiving module is used for receiving a search request sent by a client, wherein the request carries a formalization requirement formed on the basis of a document directory title and a document theme;
The requirement identification module is used for identifying the requirements of the expanded catalog titles and the document themes to form formal requirements;
the information recommendation module is used for performing information matching query according to a specific matching algorithm and rules to generate a recommendation information list;
and the information sending module is used for sending the recommendation information list to the client so as to enable the client to analyze and display the recommendation information.
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| CN202010568667.7A CN111859118A (en) | 2020-06-19 | 2020-06-19 | Intelligent information recommendation method and device based on document directory |
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| CN202010568667.7A CN111859118A (en) | 2020-06-19 | 2020-06-19 | Intelligent information recommendation method and device based on document directory |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600556A (en) * | 2022-12-15 | 2023-01-13 | 京华信息科技股份有限公司（Cn） | Method and system for recommending directory information of document |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678302A (en) * | 2012-08-30 | 2014-03-26 | 北京百度网讯科技有限公司 | Document structuration organizing method and device |
| CN106970898A (en) * | 2017-03-31 | 2017-07-21 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating article |
| CN107728995A (en) * | 2017-11-28 | 2018-02-23 | 北京洪泰同创信息技术有限公司 | A kind of technical documentation auxiliary writing system and method |
-
2020
- 2020-06-19 CN CN202010568667.7A patent/CN111859118A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678302A (en) * | 2012-08-30 | 2014-03-26 | 北京百度网讯科技有限公司 | Document structuration organizing method and device |
| CN106970898A (en) * | 2017-03-31 | 2017-07-21 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating article |
| CN107728995A (en) * | 2017-11-28 | 2018-02-23 | 北京洪泰同创信息技术有限公司 | A kind of technical documentation auxiliary writing system and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600556A (en) * | 2022-12-15 | 2023-01-13 | 京华信息科技股份有限公司（Cn） | Method and system for recommending directory information of document |
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