CN114048381A - Product recommendation method, system, storage medium and electronic device - Google Patents
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Abstract
The application relates to the technical field of data processing, in particular to a product recommendation method, a system, a storage medium and an electronic device, comprising: receiving a control instruction initiated by a user to open a shop app of a dungeon; inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered on the Dongmizhu and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names; searching the shop app of the dungeon according to each keyword to obtain a corresponding product; the shop app for dungeon is opened and the product is shown at the home page. According to the method and the device, the product requirements of the intelligent terminal user are quickly captured through the keyword data which are stored in the background server and retrieved by the user, the corresponding product is recommended to the user, the user operation is reduced, and the shopping experience of the user is improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a product recommendation method, system, storage medium, and electronic device.
Background
With the increasing use of lattice intelligent terminals and the increasing use of store apps using dungeon, a homepage shows a lot of products when the store apps log in the dungeon at present, but the user does not need to input keyword search or select corresponding products in a tab column, so that the user can further obtain a product list of required products. Related product names are already input when other shopping apps in the intelligent terminal are used, and the product names are input again when the shopping apps enter a dungeon shop, so that the operation is complex and time-consuming, the searching efficiency is low, and the user experience is poor.
Disclosure of Invention
In order to solve the problems, the application provides a product recommendation method, a product recommendation system, a storage medium and electronic equipment, which enable a store app of championshu to accurately capture product requirements of an intelligent terminal user, recommend corresponding products to the user, and improve shopping experience of the user.
In a first aspect, the present application provides a product recommendation method, including:
receiving a control instruction initiated by a user to open a shop app of a dungeon;
inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names;
searching the shop app of the dungeon according to each keyword to obtain a corresponding product;
the shop app for dungeon is opened and the product is shown at the home page.
In some embodiments, before receiving a control instruction initiated by a user to open a shop app directed to dungeon, the method further comprises:
monitoring characters input by a user in all apps in the intelligent terminal, and extracting keywords;
asynchronously querying the extracted keywords into a second database; the second database comprises product names of all products in the shop app of the dungeon;
if the corresponding product is obtained through query, updating the keyword and the app package name extracted from the keyword into the first class database;
and synchronizing the intelligent terminal identification and the data of the first class database corresponding to the intelligent terminal identification to the background server according to a preset synchronization mode.
In some embodiments, the updating the keyword and the app package name extracted from the keyword into the first class database includes:
judging whether the keywords exist in the first type database or not;
if the keywords exist in the first type of database, adding 1 to the frequency of the keywords in the first type of database to complete updating;
and if the keywords do not exist in the first type of database, correspondingly adding the keywords and the app package names extracted from the keywords into the first type of database, correspondingly recording the keyword frequency as 1, and finishing updating.
In some embodiments, after adding 1 to the frequency of the keyword in the first-class database, the method further includes:
judging whether the extracted app package name of the keyword is the same as the app package name recorded by the keyword in the first-class database;
and if the app package names are different, adding the extracted app package names of the keywords into an app package name record column.
In some embodiments, the smart terminal identification is a SIM card number.
In some embodiments, the querying a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier includes:
inquiring a background server according to an intelligent terminal identifier of a user, and confirming a first class database corresponding to the intelligent terminal identifier;
and selecting a preset number of keywords from the first type of database according to a preset priority rule to obtain the number of keywords corresponding to the intelligent terminal identification and the preset number of keywords.
In some embodiments, the preset priority rules include:
the higher the frequency of the keywords, the higher the priority;
the higher the priority of the app package name as a shopping app.
In a second aspect, a product recommendation system, the system comprising:
the device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a control instruction of opening a shop app of a dungeon initiated by a user;
the query unit is used for querying the background server according to the intelligent terminal identification of the user to obtain a preset number of keywords corresponding to the intelligent terminal identification; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names;
the retrieval unit is used for retrieving the shop app of the dungeon according to each keyword to obtain a corresponding product;
and the display unit is used for opening the shop app of the dungeon and displaying the products on the homepage.
In a third aspect, a storage medium storing a computer program executable by one or more processors may be used to implement the product recommendation method as described in the first aspect above.
In a fourth aspect, an electronic device comprises a memory and a processor, the memory having a computer program stored thereon, the memory and the processor being communicatively connected to each other, the computer program, when executed by the processor, performing the product recommendation method according to the first aspect.
The application provides a product recommendation method, a product recommendation system, a storage medium and an electronic device, which comprise: receiving a control instruction initiated by a user to open a shop app of a dungeon; inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names; searching the shop app of the dungeon according to each keyword to obtain a corresponding product; the shop app for dungeon is opened and the product is shown at the home page. According to the method and the device, the product requirements of the intelligent terminal user are quickly captured through the keyword data which are stored in the background server and retrieved by the user, the corresponding product is recommended to the user, the user operation is reduced, and the shopping experience of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of a product recommendation method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a product recommendation system according to an embodiment of the present application;
fig. 3 is a connection block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.
As can be seen from the background art, as more and more users use lattice intelligent terminals and more users use dungeon shop apps, a homepage shows a lot of products when logging in the dungeon shop app at present, but the users do not need to input keyword search or select corresponding products in tab columns to further obtain a product list of required products. Related product names are already input when other shopping apps in the intelligent terminal are used, and the product names are input again when the shopping apps enter a dungeon shop, so that the operation is complex and time-consuming, the searching efficiency is low, and the user experience is poor.
In view of this, the application provides a product recommendation method, system, storage medium and electronic device, which enable a store app of dungeon to accurately capture product requirements of an intelligent terminal user, recommend a corresponding product to the user, and improve shopping experience of the user.
Example one
Fig. 1 is a schematic flowchart of a product recommendation method provided in an embodiment of the present application, and as shown in fig. 1, the method includes:
s101, receiving a control instruction for opening a shop app of a dunaliella initiated by a user;
it should be noted that the user may initiate a control instruction to open the store app of dungeon by clicking on the store app icon of dungeon.
S102, inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier;
in step S102, the background server includes all the smart terminal identifiers of the store apps registered with dungeon and a first class database corresponding to the smart terminal identifiers, where the first class database includes keywords, frequencies of the keywords, and app package names corresponding to one another.
It should be noted that the first-class database is pre-established, and the database includes a keyword item, a frequency item of the keyword, and an app package name item that correspond to each other.
S103, searching the shop app of the dungeon according to each keyword to obtain a corresponding product;
it should be noted that the keywords themselves have a priority order, and the products obtained by the store apps of dungeon are retrieved in order, and finally the product retrieval results are also obtained in order of the corresponding keywords.
S104, opening a shop app of the dungeon and displaying the product on a homepage.
It should be noted that the displayed products are also displayed according to the product sequence obtained by searching according to the keyword sequence.
In some embodiments, before receiving a control instruction initiated by a user to open a shop app directed to dungeon, the method further comprises:
monitoring characters input by a user in all apps in the intelligent terminal, and extracting keywords;
asynchronously querying the extracted keywords into a second database; the second database comprises product names of all products in the shop app of the dungeon;
if the corresponding product is obtained through query, updating the keyword and the app package name extracted from the keyword into the first class database;
and synchronizing the intelligent terminal identification and the data of the first class database corresponding to the intelligent terminal identification to the background server according to a preset synchronization mode.
Specifically, when a user uses various apps of the intelligent terminal, after inputting characters in an input box, the system monitors the characters, and judges whether to store the characters in a first type of database according to the input characters, so that the method is suitable for apps of a public control EditText of an Android system or a text input box inheriting the EditText, and the app package name can be acquired from getContext (). getPuckageName () in the EditText. The method comprises the steps that apps of text input boxes using a public control EditText or inheriting the EditText in the intelligent terminal can monitor, changes of text input are monitored through addTextChangedListener of the EditText, and changed texts and input texts are obtained in time to extract keywords.
It should be further noted that the preset synchronization mode may select timing data synchronization, or perform non-timing data synchronization when it is determined that the current network usage is idle.
In some embodiments, the updating the keyword and the app package name extracted from the keyword into the first class database includes:
judging whether the keywords exist in the first type database or not;
if the keywords exist in the first type of database, adding 1 to the frequency of the keywords in the first type of database to complete updating;
and if the keywords do not exist in the first type of database, correspondingly adding the keywords and the app package names extracted from the keywords into the first type of database, correspondingly recording the keyword frequency as 1, and finishing updating.
It should be noted that if a keyword already exists in the first-type database, the frequency of the keyword is increased by 1 to complete the update, and if a keyword does not exist in the first-type database, a new entry is added, the stored keyword and the app package name corresponding to the keyword correspond to each item, and then the frequency of the keyword is recorded as 1, which indicates that the user has searched the keyword once.
In some embodiments, after adding 1 to the frequency of the keyword in the first-class database, the method further includes:
judging whether the extracted app package name of the keyword is the same as the app package name recorded by the keyword in the first-class database;
and if the app package names are different, adding the extracted app package names of the keywords into an app package name record column.
It should be noted that, since the app package name can determine whether the app is a shopping app, and the shopping app affects the priority of the keyword, the app package name of the keyword searched by the user needs to be recorded.
In some embodiments, the smart terminal identification is a SIM card number.
It should be noted that the SIM card number is an intelligent terminal number, and since the most common login manner of the store app for logging in dungeon is the intelligent terminal number, the SIM card number can be used as an identifier for uniquely identifying the user.
In some embodiments, the querying a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier includes:
inquiring a background server according to an intelligent terminal identifier of a user, and confirming a first class database corresponding to the intelligent terminal identifier;
and selecting a preset number of keywords from the first type of database according to a preset priority rule to obtain the number of keywords corresponding to the intelligent terminal identification and the preset number of keywords.
In some embodiments, the preset priority rules include:
the higher the frequency of the keywords, the higher the priority;
the higher the priority of the app package name as a shopping app.
It should be noted that the higher the frequency of the keyword and the higher the priority, the higher the product requirement corresponding to the keyword by the user is, the higher the priority of the app package name as the shopping app indicates that the user has searched in the shopping app, the purchase will be greater, and if the keyword is extracted from the chat app, the user may only chat in idle and does not intend to purchase, so that a better selection result can be obtained by adopting the frequency of the keyword and the app package name as the shopping app as the priority selection, and the user requirement is more easily met.
To sum up, the embodiment of the present application provides a product recommendation method, including: receiving a control instruction initiated by a user to open a shop app of a dungeon; inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names; searching the shop app of the dungeon according to each keyword to obtain a corresponding product; the shop app for dungeon is opened and the product is shown at the home page. According to the method and the device, the product requirements of the intelligent terminal user are quickly captured through the keyword data which are stored in the background server and retrieved by the user, the corresponding product is recommended to the user, the user operation is reduced, and the shopping experience of the user is improved.
Example two
Based on the product recommendation method disclosed in the embodiment of the present invention, fig. 2 specifically discloses a product recommendation system applying the product recommendation method.
As shown in fig. 2, an embodiment of the present invention discloses a product recommendation system, which includes:
a receiving unit 201, configured to receive a control instruction initiated by a user to open a shop app of dungeon;
it should be noted that the user may initiate a control instruction to open the store app of dungeon by clicking on the store app icon of dungeon.
The query unit 202 is configured to query a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier;
the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names.
It should be noted that the first-class database is pre-established, and the database includes a keyword item, a frequency item of the keyword, and an app package name item that correspond to each other.
A retrieval unit 203, configured to retrieve the store app of the dungeon according to each keyword to obtain a corresponding product;
it should be noted that the keywords themselves have a priority order, and the products obtained by the store apps of dungeon are retrieved in order, and finally the product retrieval results are also obtained in order of the corresponding keywords.
And a display unit 204 for opening the shop app of dungeon and displaying the product on a homepage.
It should be noted that the displayed products are also displayed according to the product sequence obtained by searching according to the keyword sequence.
In some embodiments, before the receiving unit 201 receives a control instruction of a user-initiated shop app for opening dungeon, the method further includes:
the monitoring unit is used for monitoring characters input by users in all apps in the intelligent terminal and extracting keywords;
the asynchronous query unit is used for asynchronously querying the extracted keywords into a second-class database; the second database comprises product names of all products in the shop app of the dungeon;
the updating unit is used for updating the keywords and the app package names extracting the keywords into the first-class database if the corresponding products are obtained through query;
and the synchronization unit is used for synchronizing the intelligent terminal identification and the data of the first class database corresponding to the intelligent terminal identification to the background server according to a preset synchronization mode.
Specifically, when a user uses various apps of the intelligent terminal, after inputting characters in an input box, the system monitors the characters, and judges whether to store the characters in a first type of database according to the input characters, so that the method is suitable for apps of a public control EditText of an Android system or a text input box inheriting the EditText, and the app package name can be acquired from getContext (). getPuckageName () in the EditText. The method comprises the steps that apps of text input boxes using a public control EditText or inheriting the EditText in the intelligent terminal can monitor, changes of text input are monitored through addTextChangedListener of the EditText, and changed texts and input texts are obtained in time to extract keywords.
It should be further noted that the preset synchronization mode may select timing data synchronization, or perform non-timing data synchronization when it is determined that the current network usage is idle.
In some embodiments, the updating unit updates the keyword and the app package name extracted from the keyword to the first class database, including:
the judging subunit is used for judging whether the keyword exists in the first class database or not;
the updating subunit is used for adding 1 to the frequency of the keywords in the first type of database to complete updating if the keywords exist in the first type of database; and if the keywords do not exist in the first type of database, correspondingly adding the keywords and the app package names extracted from the keywords into the first type of database, correspondingly recording the keyword frequency as 1, and finishing updating.
It should be noted that if a keyword already exists in the first-type database, the frequency of the keyword is increased by 1 to complete the update, and if a keyword does not exist in the first-type database, a new entry is added, the stored keyword and the app package name corresponding to the keyword correspond to each item, and then the frequency of the keyword is recorded as 1, which indicates that the user has searched the keyword once.
In some embodiments, after the updating subunit adds 1 to the frequency of the keyword in the first-class database, the updating subunit further includes:
judging whether the extracted app package name of the keyword is the same as the app package name recorded by the keyword in the first-class database; and if the app package names are different, adding the extracted app package names of the keywords into an app package name record column.
It should be noted that, since the app package name can determine whether the app is a shopping app, and the shopping app affects the priority of the keyword, the app package name of the keyword searched by the user needs to be recorded.
In some embodiments, the smart terminal identification is a SIM card number.
It should be noted that the SIM card number is an intelligent terminal number, and since the most common login manner of the store app for logging in dungeon is the intelligent terminal number, the SIM card number can be used as an identifier for uniquely identifying the user.
In some embodiments, the querying unit 202 queries the background server according to the intelligent terminal identifier of the user to obtain a preset number of keywords corresponding to the intelligent terminal identifier, where the steps include:
the system comprises a confirming unit, a background server and a first-class database, wherein the confirming unit is used for inquiring the background server according to the intelligent terminal identification of a user and confirming the first-class database corresponding to the intelligent terminal identification;
and the selecting unit is used for selecting a preset number of keywords from the first type of database according to a preset priority rule to obtain the preset number of keywords corresponding to the intelligent terminal identification.
In some embodiments, the preset priority rules include:
the higher the frequency of the keywords, the higher the priority;
the higher the priority of the app package name as a shopping app.
It should be noted that the higher the frequency of the keyword and the higher the priority, the higher the product requirement corresponding to the keyword by the user is, the higher the priority of the app package name as the shopping app indicates that the user has searched in the shopping app, the purchase will be greater, and if the keyword is extracted from the chat app, the user may only chat in idle and does not intend to purchase, so that a better selection result can be obtained by adopting the frequency of the keyword and the app package name as the shopping app as the priority selection, and the user requirement is more easily met.
To sum up, the embodiment of the present application provides a product recommendation system, including: receiving a control instruction initiated by a user to open a shop app of a dungeon; inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names; searching the shop app of the dungeon according to each keyword to obtain a corresponding product; the shop app for dungeon is opened and the product is shown at the home page. According to the method and the device, the product requirements of the intelligent terminal user are quickly captured through the keyword data which are stored in the background server and retrieved by the user, the corresponding product is recommended to the user, the user operation is reduced, and the shopping experience of the user is improved.
EXAMPLE III
The present embodiment further provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an app application mall, etc., on which a computer program is stored, where the computer program, when executed by a processor, may implement the method steps in the first embodiment, and thus, the description of the embodiment is not repeated herein.
Example four
Fig. 3 is a connection block diagram of an electronic device 300 according to an embodiment of the present disclosure, and as shown in fig. 3, the electronic device 300 may include: a processor 301, a memory 302, a multimedia component 303, an input/output (I/O) interface 304, and a communication component 305.
The processor 301 is configured to execute all or part of the steps in the product recommendation method according to the first embodiment. The memory 302 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The Processor 301 may be implemented by an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the product recommendation method in the first embodiment.
The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
The multimedia component 303 may include a screen, which may be a touch screen, and an audio component for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in a memory or transmitted through a communication component. The audio assembly also includes at least one speaker for outputting audio signals.
The I/O interface 304 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so that the corresponding Communication component 305 may include: Wi-Fi module, bluetooth module, NFC module.
In summary, the present application provides a product recommendation method, a product recommendation system, a storage medium, and an electronic device, where the method includes: receiving a control instruction initiated by a user to open a shop app of a dungeon; inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names; searching the shop app of the dungeon according to each keyword to obtain a corresponding product; the shop app for dungeon is opened and the product is shown at the home page. According to the method and the device, the product requirements of the intelligent terminal user are quickly captured through the keyword data which are stored in the background server and retrieved by the user, the corresponding product is recommended to the user, the user operation is reduced, and the shopping experience of the user is improved.
In the embodiments provided in the present application, it should be understood that the disclosed method can be implemented in other ways. The above-described method embodiments are merely illustrative.
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 apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present application are described above, the above descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (10)
1. A method for recommending products, the method comprising:
receiving a control instruction initiated by a user to open a shop app of a dungeon;
inquiring a background server according to an intelligent terminal identifier of a user to obtain a preset number of keywords corresponding to the intelligent terminal identifier; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names;
searching the shop app of the dungeon according to each keyword to obtain a corresponding product;
the shop app for dungeon is opened and the product is shown at the home page.
2. The method of claim 1, further comprising, prior to receiving a user-initiated control instruction to open a dunaliella shop app:
monitoring characters input by a user in all apps in the intelligent terminal, and extracting keywords;
asynchronously querying the extracted keywords into a second database; the second database comprises product names of all products in the shop app of the dungeon;
if the corresponding product is obtained through query, updating the keyword and the app package name extracted from the keyword into the first class database;
and synchronizing the intelligent terminal identification and the data of the first class database corresponding to the intelligent terminal identification to the background server according to a preset synchronization mode.
3. The method according to claim 2, wherein the updating the keywords and the app package names extracted from the keywords into the first class database comprises:
judging whether the keywords exist in the first type database or not;
if the keywords exist in the first type of database, adding 1 to the frequency of the keywords in the first type of database to complete updating;
and if the keywords do not exist in the first type of database, correspondingly adding the keywords and the app package names extracted from the keywords into the first type of database, correspondingly recording the keyword frequency as 1, and finishing updating.
4. The method of claim 3, after adding 1 to the frequency of the keywords in the first database, further comprising:
judging whether the extracted app package name of the keyword is the same as the app package name recorded by the keyword in the first-class database;
and if the app package names are different, adding the extracted app package names of the keywords into an app package name record column.
5. The method of claim 1, wherein the smart terminal identification is a SIM card number.
6. The method of claim 1, wherein the querying a background server according to the smart terminal identifier of the user to obtain a preset number of keywords corresponding to the smart terminal identifier comprises:
inquiring a background server according to an intelligent terminal identifier of a user, and confirming a first class database corresponding to the intelligent terminal identifier;
and selecting a preset number of keywords from the first type of database according to a preset priority rule to obtain the number of keywords corresponding to the intelligent terminal identification and the preset number of keywords.
7. The method of claim 6, wherein the pre-set priority rule comprises:
the higher the frequency of the keywords, the higher the priority;
the higher the priority of the app package name as a shopping app.
8. A product recommendation system, the system comprising:
the device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a control instruction of opening a shop app of a dungeon initiated by a user;
the query unit is used for querying the background server according to the intelligent terminal identification of the user to obtain a preset number of keywords corresponding to the intelligent terminal identification; the background server comprises all intelligent terminal identifications of store apps registered in the dungeon bead and a first-class database corresponding to the intelligent terminal identifications, wherein the first-class database comprises mutually corresponding keywords, the frequency of the keywords and app package names;
the retrieval unit is used for retrieving the shop app of the dungeon according to each keyword to obtain a corresponding product;
and the display unit is used for opening the shop app of the dungeon and displaying the products on the homepage.
9. A storage medium storing a computer program executable by one or more processors to perform a method of recommending products according to any of claims 1 to 7.
10. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, the memory and the processor are communicatively connected, and the computer program, when executed by the processor, performs the product recommendation method according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114911535A (en) * | 2022-04-22 | 2022-08-16 | 青岛海尔科技有限公司 | Application program component configuration method, storage medium and electronic device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102867056A (en) * | 2012-09-18 | 2013-01-09 | 王楚云 | Method and system for searching keyword |
| CN108664513A (en) * | 2017-03-31 | 2018-10-16 | 北京京东尚科信息技术有限公司 | Method, apparatus and equipment for pushing keyword |
| CN111444429A (en) * | 2020-03-27 | 2020-07-24 | 腾讯科技（深圳）有限公司 | Information pushing method and device and server |
| CN112419078A (en) * | 2020-12-03 | 2021-02-26 | 中国人寿保险股份有限公司 | Product recommendation method and device and electronic equipment |
-
2021
- 2021-11-16 CN CN202111354620.1A patent/CN114048381A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102867056A (en) * | 2012-09-18 | 2013-01-09 | 王楚云 | Method and system for searching keyword |
| CN108664513A (en) * | 2017-03-31 | 2018-10-16 | 北京京东尚科信息技术有限公司 | Method, apparatus and equipment for pushing keyword |
| CN111444429A (en) * | 2020-03-27 | 2020-07-24 | 腾讯科技（深圳）有限公司 | Information pushing method and device and server |
| CN112419078A (en) * | 2020-12-03 | 2021-02-26 | 中国人寿保险股份有限公司 | Product recommendation method and device and electronic equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114911535A (en) * | 2022-04-22 | 2022-08-16 | 青岛海尔科技有限公司 | Application program component configuration method, storage medium and electronic device |
| CN114911535B (en) * | 2022-04-22 | 2023-12-19 | 青岛海尔科技有限公司 | Application program component configuration method, storage medium and electronic device |
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