CN115630227A - Information recommendation method and device, electronic equipment and storage medium - Google Patents

Information recommendation method and device, electronic equipment and storage medium Download PDF

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Publication number
CN115630227A
CN115630227A CN202211320507.6A CN202211320507A CN115630227A CN 115630227 A CN115630227 A CN 115630227A CN 202211320507 A CN202211320507 A CN 202211320507A CN 115630227 A CN115630227 A CN 115630227A
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information
recommended
text
recommendation
chat
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黄毅
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Ping An Bank Co Ltd
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Ping An Bank Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/284—Lexical analysis, e.g. tokenisation or collocates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/544—Buffers; Shared memory; Pipes

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The embodiment of the invention provides an information recommendation method and device, electronic equipment and a storage medium, and relates to the technical field of communication. The information recommendation method provided by the embodiment of the invention comprises the following steps: acquiring historical chat information and current input information of a user; training the initial recommendation model based on the historical chat information to obtain an intelligent recommendation model; the intelligent recommendation model generates a plurality of recommended words according to the current input information; matching the plurality of recommended words with the current input information to obtain the matching degree of each recommended word; and when the matching degree of the recommended word is higher than the matching threshold value, determining the recommended word as the recommended text. On a terminal needing a large amount of editing texts, the method can quickly and individually recommend the recommended texts matched with the currently input contents, and help the user finish a large amount of text editing, so that a large amount of repeated input operations are omitted, the communication efficiency and effectiveness are obviously improved, and the information personalized recommendation is realized.

Description

Information recommendation method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of communication, in particular to an information recommendation method and device, electronic equipment and a storage medium.
Background
Current social software is typically based on Instant Messaging (IM) for messaging, including real-time information, peer-to-peer information, and the like. In the process of message communication, a large amount of text messages can be generated, if a text input method is adopted, the text needs to be input word by word, the input process is complicated, and manual input is easy to be input by mistake, so that the communication efficiency is not high.
Most of the existing input methods comprise an association function, and automatic recommendation can be performed according to the meanings of common words in big data. For example, if "time" is entered, the current year, month, day, and specific time are automatically displayed. However, the existing text recommendation methods are all uniformly set according to algorithms preset by a system, and cannot perform personalized recommendation according to habits of each user.
Disclosure of Invention
In order to solve the technical problem, embodiments of the present application provide an information recommendation method and apparatus, an electronic device, and a storage medium.
In a first aspect, an embodiment of the present application provides an information recommendation method, where the method includes:
obtaining historical chat information and current input information of a user;
training an initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
the intelligent recommendation model generates a plurality of recommendation words according to the current input information;
matching a plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
and when the matching degree of the recommended word is higher than a matching threshold value, determining the recommended word as a recommended text.
In one embodiment, the step of obtaining the historical chat information of the user is preceded by:
obtaining the chat records of the users;
if the chat record is not empty, determining the chat record as the historical chat information;
and if the chat record is empty, determining a preset text library as the historical chat information.
In one embodiment, after the step of determining the recommended word as the recommended text, the method includes:
and storing the recommended text to a basic text buffer area.
In an embodiment, the method further comprises:
acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
selecting the recommended text according to the click position;
and moving the recommended text to an editing buffer area according to the moving direction.
In a second aspect, an embodiment of the present application provides an information recommendation apparatus, including:
the first acquisition module is used for acquiring historical chat information and current input information of a user;
the training module is used for training the initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
the generating module is used for generating a plurality of recommended words by the intelligent recommendation model according to the current input information;
the matching module is used for matching the plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
and the first determination module is used for determining the recommended words as recommended texts when the matching degree of the recommended words is higher than a matching threshold value.
In one embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring the chat records of the user;
the second determining module is used for determining the chat record as the historical chat information if the chat record is not empty;
and the third determining module is used for determining a preset text library as the historical chat information if the chat record is empty.
In one embodiment, the apparatus further comprises:
and the storage module is used for storing the recommended text to a basic text buffer area.
In one embodiment, the apparatus further comprises:
the third acquisition module is used for acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
the selection module is used for selecting the recommended text according to the click position;
and the moving module moves the recommended text to an editing buffer area according to the moving direction.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the computer program executes the information recommendation method provided in the first aspect when the processor runs.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, where the computer program, when executed on a processor, performs the information recommendation method provided in the first aspect.
According to the information recommendation method provided by the application, on the terminal needing to edit a large amount of texts, no matter the terminal is a mobile terminal or a PC terminal or other terminals, the recommended texts matched with the currently input contents can be recommended rapidly and individually, and the user is helped to finish editing a large amount of texts, so that a large amount of repeated input operations are omitted, and the communication efficiency and the communication effectiveness are obviously improved.
Drawings
To more clearly illustrate the technical solutions of the present application, the drawings required for use in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of the present application. Like components are numbered similarly in the various figures.
Fig. 1 shows a flow chart of an information recommendation method provided in an embodiment of the present application;
FIG. 2 is a schematic interface diagram illustrating an information recommendation method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an information recommendation device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram illustrating an information recommendation apparatus provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram illustrating an information recommendation apparatus provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram illustrating an information recommendation apparatus provided in an embodiment of the present application;
fig. 7 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments.
The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present application, are intended to indicate only specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another, and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present application belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments.
Example 1
The embodiment of the disclosure provides an information recommendation method.
In the field of financial technology, real-time communication is needed in many occasions, and communication generally depends on social software. Each social software has a core function, namely a message communication function based on an IM system, including real-time messages, point-to-point messages and the like; a large amount of text messages are generated in the process of message communication, a large amount of texts are input in an input method, the input method is generally complicated, and manual input is possibly mistaken, so that the efficiency is not high; in the voice or video mode, the message may be leaked, and if the network information environment is poor, the real-time experience of the message may be poor.
At the moment, if the text message editing is organized in a fast, efficient and accurate mode, the message communication efficiency can be obviously improved, and the information safety is ensured. Therefore, the embodiment of the present disclosure provides an information recommendation method. Specifically, referring to fig. 1, the information recommendation method includes:
step S110, obtaining historical chat information and current input information of a user;
in order to implement personalized recommendation for a user, the preference of the user needs to be determined according to the chat habits of the user, the address of the user and other information, and thus, the historical chat information of the user needs to be acquired. For example, from text already present: where, the system obtains the current specific position information through the positioning function of the terminal: a city in a province, a district 123, streets. The recommended information needs to be in accordance with not only the habit of the user but also the current context, and therefore, the current input information needs to be acquired.
In one embodiment, the step of obtaining the historical chat information of the user is preceded by:
obtaining a chat record of the user; if the chat record is not empty, determining the chat record as the historical chat information; and if the chat record is empty, determining a preset text library as the historical chat information.
The information recommendation of the embodiment is based on the current contextual context; but if the current context has no context, namely the user clears the historical chat information and restarts the IM communication, the chat record is not recorded. The system will use the pre-defined text library as the historical chat information. Generally, the content of the preset text library is from common words of big data.
Step S120, training an initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
the intelligent recommendation model is an AI object model with self-learning capability. Before the recommendation model is put into use, the initial recommendation model with basic recommendation capability is obtained by performing pre-training based on an internet corpus. When the historical chat information is updated, the historical chat information can be used as a new training sample, and the intelligent recommendation model is continuously updated, so that the intelligent recommendation model is more suitable for the personal habits of the user.
Step S130, the intelligent recommendation model generates a plurality of recommendation words according to the current input information;
the intelligent recommendation model can intelligently recommend appropriate texts according to the current input information, namely the current context. With the continuous self-learning process of the intelligent recommendation model, the text content in the basic text buffer area of the communication can be continuously enriched.
Step S140, matching a plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
the matching degree here may be a frequency of occurrence of the recommended word at the same time as the currently input information, for example, if "you" is input, a "good" pop up, and at this moment, "good" is the recommended word associated with the currently input information "you", and if "good" appears too many times in a scene where "you" appear, it may be determined that the matching degree of "good" is high.
And S150, when the matching degree of the recommended word is higher than a matching threshold value, determining the recommended word as a recommended text.
For example, when text is found to occur more frequently than 3 times, a recommendation is made to place in the base text buffer.
In an embodiment, after the step of determining the recommended word as the recommended text, the method includes:
and storing the recommended text to a basic text buffer area. The basic text buffer area is used for temporarily storing the generated recommended text, so that the user can conveniently operate the next step.
In an embodiment, the method further comprises: acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction; selecting the recommended text according to the click position; and moving the recommended text to an editing buffer area according to the moving direction.
As shown in fig. 2, fig. 2 shows an example of an interface according to an embodiment of the present application. In fig. 2, 210 is an edit buffer and 220 is a base text buffer. In actual operation, the user can operate the gesture: long press, drag, etc., moves the recommended text in the base text buffer 220 to the edit buffer. In this process, the user can select single or multiple texts, or switch the sequence at will. In addition, the input content of the input method is also stored in the editing buffer area, and the input efficiency of the user is improved together with the recommended text generated by the embodiment.
In addition, in the process of combining characters, the intelligent recommendation model of the information recommendation method can also perform intelligent supplement based on local communication according to the current context, for example, when a text is assembled: if the user is in the subway, the user can automatically supplement the subway into the subway in accordance with the previously appeared subway text; the intelligent supplement is based on the self-learning ability of the intelligent recommendation model of the current communication.
According to the information recommendation method provided by the embodiment, on the terminal needing a large amount of text editing, no matter the terminal is a mobile terminal or a PC terminal or other terminals, the recommended text matched with the currently input content can be recommended rapidly and individually, and the user is helped to finish a large amount of text editing, so that a large amount of repeated input operation is omitted, and the communication efficiency and effectiveness are obviously improved.
Example 2
In addition, the embodiment of the disclosure provides an information recommendation device.
Specifically, as shown in fig. 3, the information recommendation device 300 includes:
a first obtaining module 310, configured to obtain historical chat information and current input information of a user;
the training module 320 is used for training the initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
a generating module 330, configured to generate a plurality of recommended words by the intelligent recommendation model according to the current input information;
the matching module 340 is configured to match the plurality of recommended words with the current input information to obtain a matching degree of each recommended word;
a first determining module 350, configured to determine the recommended word as a recommended text when the matching degree of the recommended word is higher than a matching threshold.
As shown in fig. 4, the information recommendation apparatus 300 further includes:
a second obtaining module 410, configured to obtain a chat record of the user;
a second determining module 420, configured to determine the chat record as the historical chat information if the chat record is not empty;
a third determining module 430, configured to determine a preset text library as the historical chat information if the chat record is empty.
As shown in fig. 5, the information recommendation apparatus 300 further includes:
a storage module 510, configured to store the recommended text in a basic text buffer.
As shown in fig. 6, the information recommendation apparatus 300 further includes:
the third acquisition module is used for acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
a selecting module 610, configured to select the recommended text according to the click position;
and the moving module 620 moves the recommended text to an editing buffer according to the moving direction.
The information recommendation apparatus 300 provided in this embodiment may implement the information recommendation method provided in embodiment 1, and is not described herein again to avoid repetition.
The information recommendation device provided by the embodiment can rapidly and individually recommend the recommended text matched with the currently input content on the terminal needing to edit a large amount of texts, no matter the terminal is a mobile terminal or a PC terminal or other terminals, and help the user to complete a large amount of text editing, so that a large amount of repeated input operations are omitted, and the communication efficiency and effectiveness are obviously improved.
Example 3
Furthermore, an embodiment of the present disclosure provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the computer program executes the information recommendation method provided in embodiment 1 when running on the processor.
Specifically, referring to fig. 7, the electronic device 700 includes: a transceiver 701, a bus interface, and a processor 702, the processor 702 configured to: acquiring historical chat information and current input information of a user;
generating a plurality of recommended words according to an intelligent recommendation model based on the historical chat information;
matching a plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
and when the matching degree of the recommended word is higher than a matching threshold value, determining the recommended word as a recommended text.
In one embodiment, the processor 702 is further configured to: before the step of obtaining the historical chat information of the user, the method comprises the following steps:
obtaining a chat record of the user;
if the chat record is not empty, determining the chat record as the historical chat information;
and if the chat record is empty, determining a preset text library as the historical chat information.
In one embodiment, the processor 702 is further configured to: after the step of determining the recommended word as the recommended text, the method includes:
and storing the recommended text to a basic text buffer area.
In one embodiment, the processor 702 is further configured to: the method further comprises the following steps:
acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
selecting the recommended text according to the click position;
and moving the recommended text to an editing buffer area according to the moving direction.
In an embodiment of the present invention, the electronic device 700 further includes: a memory 703. In FIG. 7, the bus architecture may include any number of interconnected buses and bridges, with various circuits representing, in particular, one or more processors, represented by the processor 702, and a memory, represented by the memory 703, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 701 may be a number of elements including a transmitter and a receiver providing a means for communicating with various other apparatus over a transmission medium. The processor 702 is responsible for managing the bus architecture and general processing, and the memory 703 may store data used by the processor 702 in performing operations.
The electronic device 700 provided in the embodiment of the present invention can implement the information recommendation method provided in embodiment 1, and is not described herein again to avoid repetition.
The electronic device provided by the embodiment can rapidly and individually recommend the recommended text matched with the currently input content on the terminal needing to edit a large amount of texts, no matter the terminal is a mobile terminal or a PC terminal or other terminals, and help the user to complete a large amount of text editing, so that a large amount of repeated input operations are omitted, and the communication efficiency and effectiveness are obviously improved.
Example 4
The present application also provides a computer-readable storage medium on which a computer program is stored, where the computer program, when executed by a processor, implements the information recommendation method provided in embodiment 1.
In this embodiment, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
The computer-readable storage medium provided in this embodiment may implement the information recommendation method provided in embodiment 1, and is not described herein again to avoid repetition.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or terminal that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application or portions thereof that contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the present embodiments are not limited to those precise embodiments, which are intended to be illustrative rather than restrictive, and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the appended claims.

Claims (10)

1. An information recommendation method, characterized in that the method comprises:
acquiring historical chat information and current input information of a user;
training an initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
the intelligent recommendation model generates a plurality of recommendation words according to the current input information;
matching the plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
and when the matching degree of the recommended word is higher than a matching threshold value, determining the recommended word as a recommended text.
2. The information recommendation method according to claim 1, wherein the step of obtaining the historical chat information of the user is preceded by:
obtaining the chat records of the users;
if the chat record is not empty, determining the chat record as the historical chat information;
and if the chat record is empty, determining a preset text library as the historical chat information.
3. The information recommendation method according to claim 1, wherein the step of determining the recommended word as the recommended text is followed by:
and storing the recommended text to a basic text buffer area.
4. The information recommendation method according to claim 3, further comprising:
acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
selecting the recommended text according to the click position;
and moving the recommended text to an editing buffer area according to the moving direction.
5. An information recommendation apparatus, characterized in that the apparatus comprises:
the first acquisition module is used for acquiring historical chat information and current input information of a user;
the training module is used for training an initial recommendation model based on the historical chat information to obtain an intelligent recommendation model;
the generation module is used for generating a plurality of recommended words by the intelligent recommendation model according to the current input information;
the matching module is used for matching the plurality of recommended words with the current input information to obtain the matching degree of each recommended word;
and the first determining module is used for determining the recommended word as a recommended text when the matching degree of the recommended word is higher than a matching threshold value.
6. The information recommendation device according to claim 5, further comprising:
the second acquisition module is used for acquiring the chat records of the user;
the second determining module is used for determining the chat record as the historical chat information if the chat record is not empty;
and the third determining module is used for determining a preset text library as the historical chat information if the chat record is empty.
7. The information recommendation device according to claim 5, further comprising:
and the storage module is used for storing the recommended text to a basic text buffer area.
8. The information recommendation device according to claim 5, further comprising:
the third acquisition module is used for acquiring an operation instruction of the user, wherein the operation instruction comprises a click position and a moving direction;
the selection module is used for selecting the recommended text according to the click position;
and the moving module moves the recommended text to an editing buffer area according to the moving direction.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program executes the information recommendation method according to any one of claims 1 to 4 when the processor runs.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the information recommendation method of any one of claims 1-4.
CN202211320507.6A 2022-10-26 2022-10-26 Information recommendation method and device, electronic equipment and storage medium Pending CN115630227A (en)

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Application Number Priority Date Filing Date Title
CN202211320507.6A CN115630227A (en) 2022-10-26 2022-10-26 Information recommendation method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211320507.6A CN115630227A (en) 2022-10-26 2022-10-26 Information recommendation method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115630227A true CN115630227A (en) 2023-01-20

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