CN113590743B - Information recommendation method and device, electronic equipment and storage medium - Google Patents
Information recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- CN113590743B CN113590743B CN202110736467.2A CN202110736467A CN113590743B CN 113590743 B CN113590743 B CN 113590743B CN 202110736467 A CN202110736467 A CN 202110736467A CN 113590743 B CN113590743 B CN 113590743B
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
Abstract
The invention discloses an information recommendation method, an information recommendation device, electronic equipment and a storage medium. The method is applied to the electronic equipment, and the information recommendation method comprises the following steps: under the condition of receiving a schedule viewing request, obtaining schedule information corresponding to the schedule viewing request; performing semantic recognition on the schedule information to determine keywords and target intentions of the schedule information; determining a target application program related to the target intention, and sending an information acquisition request to the target application program to acquire recommendation information related to the keyword; and simultaneously displaying the schedule information and the recommendation information. Therefore, the matching degree and the click rate of information recommendation can be effectively improved, the user is given convenient schedule assistance, and the schedule arrangement of the user is facilitated.
Description
Technical Field
The present invention relates to the field of information recommendation technologies, and in particular, to an information recommendation method and apparatus, an electronic device, and a storage medium.
Background
At present, for the schedule function of each application, the schedule can be set only according to the activity arrangement of the user, and schedule reminding is sent, for example, the user is reminded of relevant matters in a time period close to the schedule, the function is single, and the user experience is poor; the schedule information of the schedule is not reasonably utilized, and the data resource waste is caused.
Disclosure of Invention
The invention provides an information recommendation method, an information recommendation device, electronic equipment and a storage medium, and aims to overcome the defects that in the prior art, the applied schedule function is single and schedule information of a schedule cannot be reasonably utilized.
The invention solves the technical problems through the following technical scheme:
in a first aspect, an information recommendation method is provided, which is applied to an electronic device, and includes:
under the condition that a schedule viewing request is received, acquiring schedule information corresponding to the schedule viewing request;
performing semantic recognition on the schedule information to determine keywords and target intentions of the schedule information;
determining a target application program related to the target intention, and sending an information acquisition request to the target application program to acquire recommendation information related to the keyword;
and simultaneously displaying the schedule information and the recommendation information.
Optionally, performing semantic recognition on the schedule information to determine keywords and a target intention of the schedule information, including:
and inputting the schedule information into a pre-trained natural language understanding model so as to determine the keywords and the target intentions by the natural language understanding model.
Optionally, the recommendation information includes a recommended place;
the information recommendation method further comprises the following steps:
acquiring the position information of the electronic equipment;
sending an information acquisition request to the target application, including:
and sending an information acquisition request carrying the position information to the target application program so as to acquire recommendation information which contains recommendation places within a preset range from the position information and is related to the keyword.
Optionally, presenting the recommendation information includes:
and displaying the recommendation information according to the sequence of the recommendation place from the near to the far away from the position information.
Optionally, the keywords comprise keywords related to a representative place; the recommendation information comprises a recommendation place;
displaying the recommendation information, including:
and displaying the recommendation information according to the sequence of the recommended place from the place represented by the keyword to the place represented by the keyword from near to far.
Optionally, the method further comprises:
generating installation prompt information of the target application program under the condition that the target application program is determined not to be installed by the electronic equipment;
and installing the target application program when receiving an installation instruction aiming at the installation prompt information.
In a second aspect, an information recommendation apparatus is provided, which is applied to an electronic device, and includes:
the information acquisition module is used for acquiring schedule information corresponding to the schedule viewing request under the condition of receiving the schedule viewing request;
the determining module is used for carrying out semantic recognition on the schedule information so as to determine keywords and target intentions of the schedule information;
the determining module is further used for determining a target application program related to the target intention and sending an information obtaining request to the target application program so as to obtain recommendation information related to the keyword;
and the display module is used for simultaneously displaying the schedule information and the recommendation information.
Optionally, when performing semantic recognition on the schedule information, the determining module is configured to:
and inputting the schedule information into a pre-trained natural language understanding model so as to determine the keywords and the target intentions by the natural language understanding model.
Optionally, the recommendation information includes a recommended place;
the information recommendation apparatus further includes:
the position acquisition module is used for acquiring the position information of the electronic equipment;
when sending an information acquisition request to the target application, the determining module is configured to:
and sending an information acquisition request carrying the position information to the target application program so as to acquire recommendation information which contains recommendation places within a preset range from the position information and is related to the keyword.
Optionally, when presenting the recommendation information, the presentation module is configured to:
and displaying the recommendation information according to the sequence of the recommended place and the position information from near to far.
Optionally, the keywords comprise keywords related to a representative place; the recommendation information comprises a recommendation place;
and when the recommendation information is displayed, the display module is used for:
and displaying the recommendation information according to the sequence of the recommended place from the place represented by the keyword from near to far.
Optionally, the method further comprises:
the prompt generation module is used for generating installation prompt information of the target application program under the condition that the target application program is determined not to be installed in the electronic equipment;
and the installation module is used for installing the target application program under the condition of receiving an installation instruction aiming at the installation prompt information.
In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method of any one of the above when executing the computer program.
In a fourth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the method of any of the above.
The positive progress effects of the invention are as follows:
according to the embodiment of the invention, personalized information recommendation is realized based on the schedule information and the application program, the recommendation information is related to the schedule created by the user, the matching degree and click rate of information recommendation can be effectively improved, the user is provided with convenient schedule assistance, and the schedule arrangement of the user is facilitated.
Drawings
Fig. 1 is a flowchart of an information recommendation method according to an exemplary embodiment of the present invention;
FIG. 2a is a schematic diagram of an interface for completing the creation of a schedule using a calendar class application according to an exemplary embodiment of the present invention;
FIG. 2b is a schematic diagram of a user interface displaying schedule information and recommendation information according to an information recommendation method provided by an exemplary embodiment of the present invention;
FIG. 3 is a block diagram of an information recommendation device according to an exemplary embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the invention thereto.
Fig. 1 is a flowchart of an information recommendation method according to an exemplary embodiment of the present invention, which is applied to an electronic device, which may be, but is not limited to, any type of device such as a mobile phone, a computer, a tablet computer, a vehicle-mounted device, etc. capable of installing an application program, where the application program may include, but is not limited to, a calendar-type application program, a shopping-type application program, a travel-type application program, a video-type application program, a communication-type application program, a sports-type application program, a dining-type application program, etc.
Referring to fig. 1, the information recommendation method includes the steps of:
The user can create the schedule required by the user through any application program which can create the schedule and is installed in the electronic equipment, and the schedule information of the schedule comprises at least one of the following parameters: schedule title, schedule description, schedule location, schedule reminding time, whether the schedule is set as a repeating activity, a time zone (such as Chinese standard time) to which the schedule belongs, repeating reminding times and the like.
Fig. 2a is a schematic diagram of an interface for completing the creation of a schedule by using a calendar class application according to an exemplary embodiment of the present invention, in which 2 created schedules are shown. It should be noted that the number of schedules may be set according to actual requirements, and is not limited to 2 shown in fig. 2, and may be 1, 3, 4, or even more, which is not particularly limited in this embodiment of the present invention.
In one embodiment, a schedule viewing request is generated based on a touch operation of a user. For example, if a user touches an area a where a schedule 1 is located in a user interface, a schedule viewing request for the schedule 1 is generated, and schedule information of the schedule 1 is acquired; and if the user touches the area B where the schedule 2 is located in the user interface, generating a schedule viewing request aiming at the schedule 2, and acquiring schedule information of the schedule 2. The touch operation may be, but is not limited to, a single-click operation, a double-click operation, and the like, which is not particularly limited in the present invention.
In one embodiment, if the electronic device has a voice recognition function, the schedule viewing request may be generated based on voice information input by the user. For example, if the voice information input by the user is "view schedule 1", a schedule viewing request for schedule 1 is generated, and schedule information of schedule 1 is obtained; and if the voice information input by the user is 'view schedule 2', generating a schedule view request aiming at the schedule 2, and acquiring the schedule information of the schedule 2.
In one embodiment, in response to the start request for the application program with the created schedule, the schedule viewing request is generated, that is, the user starts the application program, and the schedule viewing request is generated, without further performing a touch operation or a voice operation for schedule 1 or schedule 2.
If the number of the schedules created in the application program is multiple, corresponding schedule viewing requests can be generated aiming at all the schedules; or generating a viewing prompt of each schedule, and generating a schedule viewing request corresponding to the schedule selected by the user according to the selection operation of the user.
And 102, performing semantic recognition on the schedule information to determine keywords and target intentions of the schedule information.
In one embodiment, the schedule information is semantically recognized through a pre-trained natural language understanding model, so that keywords and target intentions of the schedule information are determined by the natural language understanding model.
The model architecture of the natural language understanding model may be, but is not limited to, a convolutional neural network, a cascaded long-term memory network, and an attention model.
In the following, taking the model architecture of the natural language understanding model as the cascaded long-and-short-term memory network and attention model as an example, the training process of the model is briefly introduced. And acquiring a large amount of schedule information as training samples of the model, labeling the keywords and the intentions of each training sample, and performing word segmentation processing on each training sample to obtain a word vector sample of each training sample. And inputting the word vector sample into the long-time and short-time memory network model, and inputting the output vector of the long-time and short-time memory network model into the attention model. And comparing the output result of the attention model with the keywords and the intentions marked by the input training samples, and adjusting parameters of the long-time memory network model and the attention model according to the comparison result. And repeating the process until the difference between the output result of the attention model and the keywords and the intentions marked by the input training samples is smaller than a difference threshold value. Wherein, the difference threshold value can be set according to the actual requirement.
Inputting the schedule information obtained in the step 101 into a trained natural language understanding model, and performing semantic recognition to determine keywords and target intentions of the schedule information. For example, inputting the schedule information "tomorrow me wants to go to a pharmacy to buy medicine" into the natural language understanding model, the keywords of the schedule information can be determined to include "pharmacy", "medicine buying", and the target intention is "shopping"; inputting the schedule information 'driving to go to market for body-building' into the natural language understanding model, the key words of the schedule information including 'market' and 'body-building' can be determined, and the target intention is 'sports'.
And 103, determining a target application program related to the target intention, and sending an information acquisition request to the target application program to acquire recommendation information related to the keyword.
Determining the target intention of the schedule information can determine the target application program related to the target intention, namely the target application program matched with the target intention, wherein the target application program comprises the application program for creating the schedule and other application programs.
In one embodiment, a mapping relationship between the intention and the application program may be established in advance, and the target application program corresponding to the target intention may be determined according to the mapping relationship, where the mapping relationship between the intention and the application program may be a one-to-one relationship, a one-to-many relationship, or a many-to-one relationship.
The following table illustrates one mapping of intent to application, in accordance with an exemplary embodiment.
If the target intention of the schedule information is recognized to be shopping intentions such as bag buying, clothes buying, range hood replacement and the like, the shopping application program is determined to be the target application program, and shopping information recommendation can be achieved through the shopping application program; if the target intention of the schedule information is recognized to be catering intentions such as dating, eating and the like, determining the catering application programs and the video application programs as the target application programs, realizing restaurant information recommendation by means of the catering application programs and realizing menu video tutorial recommendation by means of the video application programs; if the target intention of the schedule information is recognized to be the exercise intention of running, fitness and the like, the exercise application program is determined to be the target application program, and information such as an exercise scene, an exercise tutorial and the like can be recommended through the exercise application program.
It should be noted that the number of target applications may be one or more. The target application may be an application already installed in the electronic device, or may be an application that is not yet installed in the application.
In one embodiment, if it is determined that the target application is not installed in the electronic device, the target application is directly installed.
In one embodiment, if it is determined that the target application is not installed in the electronic device, installation prompting information of the target application is generated to prompt a user whether to install the target application. In order to facilitate user operation, the installation prompt message may carry an installation link of the target application program. When the user triggers the installation link and determines that the installation instruction aiming at the installation prompt information is received, the target application program is installed, and the target application program which is successfully installed can be used as a source of the recommendation information. Target applications that are not installed successfully or that the user does not agree to install cannot be the source of the recommendation information.
The target application program is determined, only the source of the recommendation information is determined, and the recommendation information which is related to the schedule information and meets the user requirement is determined from the data of the target application program, namely, the recommendation information is obtained from the target application program through the keywords of the schedule information. Specifically, keyword matching may be performed on data of the target application program, and recommendation information may be determined according to a matching result. The data of the target application program may be data stored locally in the electronic device, cloud data stored in a remote server of the target application program itself, or network-searchable data acquired by the target application program.
In one embodiment, if the keyword relates to a geographic location, such as "pharmacy," "store," etc., the recommendation information may be determined in conjunction with location information of the electronic device. Specifically, an information acquisition request carrying position information and a keyword is sent to a target application program to acquire recommendation information which contains a recommendation place within a preset range from the position information and is related to the keyword, that is, information which contains the recommendation place within the preset range from the position information of the electronic device is filtered from the recommendation information (containing the recommendation place) related to the keyword to serve as final recommendation information, and by taking the keyword as a "pharmacy" as an example, pharmacy information of a pharmacy, expert clinic information and a nearby hospital within the preset range from the electronic device can be acquired and displayed to a user.
Wherein, the preset range can be set according to the actual demand. The location information of the electronic device may be, but is not limited to, acquired by GPS (global positioning system). In a preset range from the electronic device, that is, in a preset range from the user, recommendation information which is in the preset range from the position information and is related to the keyword is recommended to the user, that is, information in a range close to the user is recommended to the user, so that the user can be facilitated.
In one embodiment, if the schedule information includes a place keyword, such as "XX mall", the recommended information may be determined in association with the place keyword. Specifically, an information acquisition request carrying a keyword is sent to a target application program to acquire recommendation information which is within a preset range of a place corresponding to the place keyword and related to the keyword, that is, information which is close to the place mentioned in the schedule information is acquired and recommended to a user.
In one embodiment, the matching of the recommendation information can be performed based on the user history search data and the user history browsing data of the target application program, so that recommendation is performed according to the preference degree of the user, and personalized and accurate recommendation information is recommended for the user.
And step 104, displaying the schedule information and the recommendation information at the same time.
In step 104, the schedule information corresponding to the schedule viewing request is displayed, and meanwhile, the recommendation information is displayed, so that personalized information recommendation based on the schedule information and the application program is realized, the recommendation information is related to the schedule created by the user, the matching degree and the click rate of information recommendation can be effectively improved, the user is provided with convenient schedule assistance, and the schedule arrangement of the user is facilitated.
In one embodiment, if the recommendation information includes information obtained based on the location information of the electronic device, the recommendation information is displayed in a sequence from near to far from the location information of the electronic device when the recommendation information is displayed.
In one embodiment, if the recommendation information includes information obtained based on the place keyword, the recommendation information is displayed according to a sequence from near to far from a place represented by the place keyword when the recommendation information is displayed.
In one embodiment, if the recommendation information includes information acquired based on the position information of the electronic device and information acquired based on the location keyword, priorities of the two may be set, for example, the priority of the information acquired based on the location keyword is set to be higher than the priority of the information acquired based on the position information of the electronic device, and the information acquired based on the location keyword is preferentially displayed.
In one embodiment, if the recommendation information obtained based on the keyword matching includes a recommendation place, traffic information from the position of the electronic device (or a place represented by the keyword) to the recommendation place may be further obtained, and the traffic information is displayed together with the schedule information as the recommendation information. The traffic information may include, but is not limited to, traffic manner, route, duration, and the like.
The recommendation information may be, but is not limited to, presented in the form of a floating window, or presented in a partitioned manner. Fig. 2b is a schematic diagram of a user interface displaying schedule information and recommendation information according to an information recommendation method provided in an exemplary embodiment of the present invention, where the schedule information and the recommendation information are displayed in a partitioned manner, and referring to fig. 2b, the schedule information (schedule details) is displayed in an upper area C of the user interface, and the recommendation information is displayed in a lower area D of the user interface, that is, the recommendation information is displayed below the schedule information, although the layout of the schedule information and the schedule information may be set according to an actual situation, which is not particularly limited in this embodiment of the present invention.
The recommendation information may be, but is not limited to, presented by at least one of the following: text description, links for jumping to a corresponding application, voice play, and the like. Referring to fig. 2b, the recommendation information is represented by icons, each icon corresponds to a link, and the user trigger icon may display the recommendation information corresponding to the link in a text form, or broadcast the recommendation information corresponding to the link in a voice, or jump to a user interface corresponding to the link, where the corresponding user interface may be a user interface of a target application program that creates a schedule, or may be a user interface of another target application program.
Corresponding to the information recommendation method embodiment, the invention also provides an embodiment of an information recommendation device.
Fig. 3 is a schematic block diagram of an information recommendation apparatus according to an exemplary embodiment of the present invention, where the information recommendation apparatus is applied to an electronic device, and the information recommendation apparatus includes:
an information obtaining module 31, configured to obtain schedule information corresponding to a schedule viewing request when the schedule viewing request is received;
a determining module 32, configured to perform semantic recognition on the schedule information to determine keywords and a target intention of the schedule information;
the determining module 32 is further configured to determine a target application program related to the target intention, and send an information obtaining request to the target application program to obtain recommendation information related to the keyword;
and a display module 33, configured to display the schedule information and the recommendation information at the same time.
Optionally, when performing semantic recognition on the schedule information, the determining module is configured to:
and inputting the schedule information into a pre-trained natural language understanding model so as to determine the keywords and the target intention by the natural language understanding model.
Optionally, the recommendation information includes a recommended place;
the information recommendation apparatus further includes:
the position acquisition module is used for acquiring the position information of the electronic equipment;
when sending an information acquisition request to the target application, the determining module is configured to:
and sending an information acquisition request carrying the position information to the target application program so as to acquire recommendation information which contains recommendation places within a preset range from the position information and is related to the keyword.
Optionally, when the recommendation information is presented, the presentation module is configured to:
and displaying the recommendation information according to the sequence of the recommendation place from the near to the far away from the position information.
Optionally, the keywords comprise keywords that characterize a place; the recommendation information comprises a recommendation place;
and when the recommendation information is displayed, the display module is used for:
and displaying the recommendation information according to the sequence of the recommended place from the place represented by the keyword to the place represented by the keyword from near to far.
Optionally, the method further comprises:
the prompt generation module is used for generating installation prompt information of the target application program under the condition that the target application program is determined not to be installed in the electronic equipment;
and the installation module is used for installing the target application program under the condition of receiving an installation instruction aiming at the installation prompt information.
For the device embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Fig. 4 is a schematic diagram of an electronic device according to an exemplary embodiment of the present invention, and illustrates a block diagram of an exemplary electronic device 40 suitable for implementing embodiments of the present invention. The electronic device 40 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in FIG. 4, electronic device 40 may take the form of a general purpose computing device, which may be a server device, for example. The components of electronic device 40 may include, but are not limited to: the at least one processor 41, the at least one memory 42, and a bus 43 connecting the various system components including the memory 42 and the processor 41.
The bus 43 includes a data bus, an address bus, and a control bus.
The memory 42 may include volatile memory, such as Random Access Memory (RAM) 421 and/or cache memory 422, and may further include Read Only Memory (ROM) 423.
The processor 41 executes various functional applications and data processing, such as the methods provided by any of the above embodiments, by running a computer program stored in the memory 42.
The electronic device 40 may also communicate with one or more external devices 44 (e.g., a keyboard, a pointing device, etc.). Such communication may be through an input/output (I/O) interface 45. Also, the model-generated electronic device 40 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 46. As shown, the network adapter 46 communicates with the other modules of the model-generated electronic device 40 over a bus 43. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating electronic device 40, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method provided in any of the above embodiments.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (12)
1. An information recommendation method applied to an electronic device includes:
under the condition of receiving a schedule viewing request, obtaining schedule information corresponding to the schedule viewing request;
performing semantic recognition on the schedule information to determine keywords and target intentions of the schedule information;
determining a target application program related to the target intention, and sending an information acquisition request to the target application program to acquire recommendation information related to the keyword;
simultaneously displaying the schedule information and the recommendation information;
wherein the recommendation information comprises a recommended place;
the information recommendation method further comprises the following steps:
acquiring the position information of the electronic equipment;
sending an information acquisition request to the target application, including:
and sending an information acquisition request carrying the position information to the target application program so as to acquire recommendation information which contains recommendation places within a preset range from the position information and is related to the keyword.
2. The information recommendation method according to claim 1, wherein performing semantic recognition on the schedule information to determine keywords and target intentions of the schedule information comprises:
and inputting the schedule information into a pre-trained natural language understanding model so as to determine the keywords and the target intentions by the natural language understanding model.
3. The information recommendation method according to claim 1, wherein presenting the recommendation information comprises:
and displaying the recommendation information according to the sequence of the recommended place and the position information from near to far.
4. The information recommendation method according to claim 1, wherein the keywords include keywords representing a place; the recommendation information comprises a recommendation place;
displaying the recommendation information, including:
and displaying the recommendation information according to the sequence of the recommended place from the place represented by the keyword to the place represented by the keyword from near to far.
5. The information recommendation method according to claim 1, further comprising:
generating installation prompt information of the target application program under the condition that the target application program is determined not to be installed by the electronic equipment;
and installing the target application program when receiving an installation instruction aiming at the installation prompt information.
6. An information recommendation device applied to an electronic device, the information recommendation device comprising:
the information acquisition module is used for acquiring schedule information corresponding to the schedule viewing request under the condition of receiving the schedule viewing request;
the determining module is used for carrying out semantic recognition on the schedule information so as to determine keywords and target intentions of the schedule information;
the determining module is further used for determining a target application program related to the target intention and sending an information obtaining request to the target application program so as to obtain recommendation information related to the keyword;
the display module is used for simultaneously displaying the schedule information and the recommendation information;
wherein the recommendation information comprises a recommended place;
the information recommendation apparatus further includes:
the position acquisition module is used for acquiring the position information of the electronic equipment;
when sending an information acquisition request to the target application, the determining module is configured to:
and sending an information acquisition request carrying the position information to the target application program so as to acquire recommendation information which contains recommendation places within a preset range from the position information and is related to the keyword.
7. The information recommendation device of claim 6, wherein in semantically identifying the schedule information, the determining module is configured to:
and inputting the schedule information into a pre-trained natural language understanding model so as to determine the keywords and the target intentions by the natural language understanding model.
8. The information recommendation device of claim 6, wherein when presenting the recommendation information, the presentation module is configured to:
and displaying the recommendation information according to the sequence of the recommendation place from the near to the far away from the position information.
9. The information recommendation device according to claim 6, wherein the keywords include keywords representing places; the recommendation information comprises a recommendation place;
and when the recommendation information is displayed, the display module is used for:
and displaying the recommendation information according to the sequence of the recommended place from the place represented by the keyword to the place represented by the keyword from near to far.
10. The information recommendation device according to claim 6, further comprising:
the prompt generation module is used for generating installation prompt information of the target application program under the condition that the target application program is determined not to be installed in the electronic equipment;
and the installation module is used for installing the target application program under the condition of receiving an installation instruction aiming at the installation prompt information.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110736467.2A CN113590743B (en) | 2021-06-30 | 2021-06-30 | Information recommendation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110736467.2A CN113590743B (en) | 2021-06-30 | 2021-06-30 | Information recommendation method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
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| CN113590743A CN113590743A (en) | 2021-11-02 |
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