CN110188269B - Information recommendation method, terminal and storage medium - Google Patents
Information recommendation method, terminal and storage medium Download PDFInfo
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- CN110188269B CN110188269B CN201910430259.2A CN201910430259A CN110188269B CN 110188269 B CN110188269 B CN 110188269B CN 201910430259 A CN201910430259 A CN 201910430259A CN 110188269 B CN110188269 B CN 110188269B
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Abstract
The embodiment of the application provides an information recommendation method, a terminal and a storage medium, wherein the method comprises the following steps: when first biological identification data are received, searching a first preset identity characteristic corresponding to the first biological identification data from the corresponding relation between the historical biological identification data and the identity; when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity; and searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received.
Description
Technical Field
The present application relates to the field of electronic applications, and in particular, to an information recommendation method, a terminal, and a storage medium.
Background
With the vigorous development of the intelligent terminal, a user can acquire richer media contents by using the intelligent terminal, the richer media contents also comprise media contents such as violence and the like, a general intelligent terminal does not have active limitation on the media contents acquired by the user, and when an underage user acquires the media contents by using the intelligent terminal, the media contents of violence are not beneficial to the healthy growth of teenagers.
At present, an intelligent terminal prompts a user to actively input age, and then recommends corresponding media content according to the age input by the user; however, the age input by the user is not necessarily the correct age of the user, and a plurality of users can use the same intelligent terminal, and the intelligent terminal cannot acquire the identity information of the currently used user, so that the accuracy of recommendation is low; and the age of the user is changed with time, when the user is at different ages, the corresponding media content is different, thereby resulting in low intelligence of recommendation.
Disclosure of Invention
The embodiment of the application provides an information recommendation method, a terminal and a storage medium, which can improve the accuracy and intelligence of recommendation.
The technical scheme of the application is realized as follows:
the embodiment of the application provides an information recommendation method, which comprises the following steps:
when first biological identification data are received, searching a first preset identity characteristic corresponding to the first biological identification data from the corresponding relation between the historical biological identification data and the identity;
when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity;
and searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received.
In the above method, the determining, by using a preset identity feature discrimination model, a first identity feature corresponding to the first biometric data further includes:
when the first preset identity characteristic corresponding to the first biological identification data is not found from the corresponding relation between the historical biological identification data and the identity, the first identity characteristic corresponding to the first biological identification data is determined by using the preset identity characteristic discrimination model.
In the above method, after the determining the first identity characteristic corresponding to the first biometric data by using the preset identity characteristic discrimination model, the method further includes:
storing a correspondence of the first biometric data and the first identity characteristic in the historical biometric data and identity correspondence.
In the above method, the searching for the first preset identity characteristic corresponding to the first biometric data from the correspondence between the historical biometric data and the identity includes:
matching the first biometric data and the historical biometric data with historical biometric data in an identity correspondence;
and when the first biological identification data and the historical biological identification data are matched with first historical biological identification data in the identity corresponding relation, searching the first preset identity characteristic corresponding to the first historical biological identification data from the historical biological identification data and identity corresponding relation.
In the above method, after searching for a first preset identity characteristic corresponding to the first biometric data from the historical biometric data and identity correspondence, before determining the first identity characteristic corresponding to the first biometric data by using a preset identity characteristic discrimination model, the method further includes:
acquiring the quantity of first historical biometric data or a time interval, wherein the time interval is a time difference between the first biometric data received and the first historical biometric data initially recorded;
determining the quantity or the time interval as a data parameter of the first historical biometric data;
and when the number meets a preset number or the time interval is greater than a preset time period, judging that the data parameters of the first historical biometric data meet the updating condition.
In the above method, after determining the first identity characteristic corresponding to the first biometric data by using a preset identity characteristic discrimination model, the method further includes:
and replacing a first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity by using the first identity characteristic.
In the above method, after the searching for the first preset identity characteristic corresponding to the first biometric data from the historical biometric data and identity correspondence, the method further includes:
when the first preset identity characteristic is found and the data parameter of the first historical biological identification data does not meet the updating condition, second information to be recommended corresponding to the first preset identity characteristic is found;
and when a recommendation instruction is received, displaying the second information to be recommended.
In the above method, the determining, by using a preset identity feature discrimination model, a first identity feature corresponding to the first biometric data includes:
inputting the first biological identification data into the preset identity characteristic discrimination model to obtain the age group and the gender corresponding to the first biological identification data;
and determining the age group and the gender corresponding to the first biological identification data as the first identity characteristic corresponding to the first biological identification data.
In the above method, the biometric data includes voice data, face recognition data, and vein recognition data.
An embodiment of the present application provides a terminal, including:
the searching unit is used for searching a first preset identity characteristic corresponding to first biological identification data from a corresponding relation between historical biological identification data and an identity when the first biological identification data is received;
a determining unit, configured to determine, by using a preset identity feature discrimination model, a first identity feature corresponding to first biometric data when the first preset identity feature is found and a data parameter of the first historical biometric data corresponding to the first preset identity feature satisfies an update condition, where the first historical biometric data is historical biometric data corresponding to the first preset identity feature in a correspondence relationship between the historical biometric data and an identity;
and the display unit is used for searching for first information to be recommended corresponding to the first identity characteristic and displaying the first information to be recommended when a recommendation instruction is received.
In the terminal, the determining unit is further configured to determine the first identity feature corresponding to the first biometric data by using the preset identity feature discrimination model when the first preset identity feature corresponding to the first biometric data is not found from the historical biometric data and identity correspondence relationship.
In the above terminal, the terminal further includes: a storage unit;
the storage unit is configured to store a correspondence between the first biometric data and the first identity feature in the historical biometric data and identity correspondence.
In the above terminal, the terminal further includes: a matching unit;
the matching unit is used for matching the first biological identification data and the historical biological identification data with historical biological identification data in identity corresponding relation;
the searching unit is further configured to search the first preset identity feature corresponding to the first historical biometric data from the historical biometric data and identity correspondence relationship when the first biometric data and the historical biometric data match the first historical biometric data in the identity correspondence relationship.
In the above terminal, the terminal further includes: an acquisition unit;
the acquisition unit is used for acquiring the quantity of first historical biological identification data or a time interval, wherein the time interval is a time difference between the first biological identification data received and the first historical biological identification data initially recorded;
the determining unit is further configured to determine the quantity or the time interval as a data parameter of the first historical biometric data; and when the number meets a preset number or the time interval is greater than a preset time period, judging that the data parameters of the first historical biometric data meet the updating condition.
In the above terminal, the terminal further includes: a replacement unit;
the replacing unit is used for replacing a first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity by using the first identity characteristic.
In the terminal, the searching unit is further configured to search, when the first preset identity feature is found and the data parameter of the first historical biometric data does not meet the update condition, second information to be recommended corresponding to the first preset identity feature;
the display unit is further used for displaying the second information to be recommended when a recommendation instruction is received.
In the terminal, the determining unit is specifically configured to input the first biometric data into the preset identity feature discrimination model to obtain an age group and a gender corresponding to the first biometric data; and determining the age group and the gender corresponding to the first biological identification data as the first identity characteristic corresponding to the first biological identification data.
In the above terminal, the biometrics identification data includes voice data, face identification data, and vein identification data.
The embodiment of the present application provides a terminal, which is characterized in that the terminal includes: the device comprises a processor, a memory, a display and a communication bus, wherein the display is used for displaying first information to be recommended when a recommendation instruction is received; the processor, when executing the operating program stored in the memory, implements the method of any of the above.
The embodiment of the application provides a storage medium, on which a computer program is stored, and the computer program is applied to a terminal, and when the computer program is executed by a processor, the computer program realizes the method according to any one of the above items.
The embodiment of the application provides an information recommendation method, a terminal and a storage medium, wherein the method comprises the following steps: when first biological identification data are received, searching a first preset identity characteristic corresponding to the first biological identification data from the corresponding relation between the historical biological identification data and the identity; when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity; and searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received. By adopting the implementation scheme, the terminal is preset with the corresponding relation between historical biological identification data and identities, wherein the historical received biological identification data corresponding to different identity characteristics are stored, and the terminal recommends different contents to different identity characteristics by utilizing the corresponding relation between the historical biological identification data and the identities, so that the recommendation accuracy is high; when the terminal receives the first biological identification data, the terminal judges whether the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, and when the terminal judges that the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, the terminal determines the first identity characteristic corresponding to the first biological identification data again by using a preset identity characteristic distinguishing model and recommends the first identity characteristic corresponding to the first information to be recommended, so that the recommendation intelligence is improved.
Drawings
Fig. 1 is a flowchart of an information recommendation method according to an embodiment of the present application;
fig. 2 is a flowchart illustrating an exemplary information recommendation method according to an embodiment of the present application;
fig. 3 is a first schematic structural diagram of a terminal according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application. And are not intended to limit the present application.
Example one
An embodiment of the present application provides an information recommendation method, as shown in fig. 1, the method may include:
s101, when first biological identification data are received, first preset identity characteristics corresponding to the first biological identification data are searched from the corresponding relation between the historical biological identification data and the identity.
The information recommendation method provided by the embodiment of the application is suitable for a scene of personalized recommendation according to different biological identification data.
In the embodiment of the application, the terminal can be an intelligent sound box, an intelligent watch, an intelligent mobile phone and the like, and is specifically selected according to actual conditions, and the embodiment of the application is not specifically limited.
In the embodiment of the present application, the biometric data includes voice data, facial recognition data, vein recognition data, and the like, which are specifically selected according to actual situations, and the embodiment of the present application is not particularly limited.
Illustratively, when a user wakes up the terminal through voice or issues an instruction to the terminal through voice, the terminal receives first voice data (first biometric data), then determines the age of the first voice data according to the stability of the voiceprint of the first voice data, and determines the age increase of the user according to the growth of the voiceprint of the first voice data.
In the embodiment of the application, a terminal stores a corresponding relation between historical biological identification data and identities, wherein historical biological identification data corresponding to different user identities received in a historical mode are stored in the terminal, the terminal matches first biological identification data with the historical biological identification data in the corresponding relation between the historical biological identification data and the identities, when the first biological identification data is matched with the first historical biological identification data in the corresponding relation between the historical biological identification data and the identities, the terminal searches for a first preset identity characteristic corresponding to the first historical biological identification data from the corresponding relation between the historical biological identification data and the identities, and represents that the first biological identification data is sent by a user who has sent the biological identification data before; and when the first biological identification data and the historical biological identification data are not matched with the identity corresponding relation, the terminal judges that the first biological identification data is sent by the new user for the first time.
S102, when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic distinguishing model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity.
After the terminal searches for the first preset identity characteristic corresponding to the first biological identification data from the corresponding relation between the historical biological identification data and the identity, the terminal judges whether the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition or not when determining that the first preset identity characteristic is found, and determines the first identity characteristic corresponding to the first biological identification data by using the preset identity characteristic distinguishing model when determining that the data parameter of the first historical biological identification data meets the updating condition.
In the embodiment of the application, when the terminal searches for a first preset identity characteristic, the terminal obtains the quantity or the time interval of first historical biological identification data, wherein the time interval is the time difference between the first biological identification data received by the terminal and the first historical biological identification data initially input by the terminal; the terminal determines the number or the time interval as a data parameter of the first historical biometric data; it should be noted that the data parameter of the first historical biometric data may be adjusted according to actual situations, and the embodiment of the present application is not particularly limited, and only two dimensions, i.e., the number of the first historical biometric data or the time interval, are taken as an example for description.
In the embodiment of the application, when the terminal sets the judgment standard as the quantity of the historical biological identification data, the terminal compares the quantity of the first historical biological identification data with the preset quantity; when the terminal sets the judgment criterion as the time interval of the historical biometric data, the terminal compares the time interval of the first historical biometric data with a preset time period; and when the terminal judges that the number meets the preset number or the time interval is greater than the preset time period, the terminal judges that the data parameters of the first historical biological identification data meet the updating condition.
In the embodiment of the application, the process of determining the first identity characteristic corresponding to the first biometric data by the terminal using the preset identity characteristic discrimination model specifically includes: the terminal inputs the first biological identification data into a preset identity characteristic discrimination model to obtain an age group and a gender corresponding to the first biological identification data; then, the terminal determines the age group and the gender corresponding to the first biometric data as the first identity characteristic corresponding to the first biometric data, where it should be noted that the first identity characteristic may include at least one of the age group and the gender, or other identifiable identity characteristic types, and is specifically selected according to an actual situation, and the embodiment of the present application is not specifically limited.
In the embodiment of the application, after the terminal determines that the first biometric data corresponds to the first identity feature, the terminal updates the first preset biometric data in the corresponding relationship between the historical biometric data and the identity by using the first identity feature.
Further, when the terminal does not find the first preset identity characteristic corresponding to the first biometric data from the corresponding relationship between the historical biometric data and the identity, the terminal also determines the first identity characteristic corresponding to the first biometric data by using a preset identity characteristic discrimination model, stores the corresponding relationship between the first biometric data and the first identity characteristic in the corresponding relationship between the historical biometric data and the identity, records the recording time, counts the number of the first biometric data and the like, and is used for subsequently judging whether the updating condition is met.
Further, when the terminal finds the first preset identity characteristic and judges that the data parameter of the first historical biological identification data does not meet the updating condition, the terminal finds second information to be recommended corresponding to the first preset identity characteristic, and at the moment, the terminal updates the data parameter of the first historical biological identification data; and when the terminal receives the recommendation instruction, displaying second information to be recommended.
S103, searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received.
After the terminal determines a first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, the terminal searches for first information to be recommended corresponding to the first identity characteristic and displays the first information to be recommended when a recommendation instruction is received.
In the embodiment of the application, different types of information to be recommended are divided in advance by the terminal according to different identity characteristics, the terminal searches for first information to be recommended corresponding to the first identity characteristics, and when a recommendation instruction is received, the first information to be recommended is displayed.
In the embodiment of the application, the terminal may send the recommendation instruction in a voice input mode, a text input mode, a touch screen mode, and the like, and specifically select the recommendation instruction according to the actual situation, which is not specifically limited in the embodiment of the application.
Illustratively, when the terminal determines that the age of the user of the voice input is below 18 years old, the terminal determines that the user is an underage, and at this time, the terminal filters out underage inappropriate content when recommending content to the user.
Illustratively, as shown in fig. 2, for the process of implementing information recommendation of different age groups through voice data, specifically,
1. the intelligent terminal receives voice data of a user, wherein the voice data comprises awakening voice for awakening the intelligent terminal, voice for the user to put forward requirements and the like;
2. the intelligent terminal identifies the user identity characteristics corresponding to the voice data through a voice recognition function;
3. the intelligent terminal judges whether the user identity characteristic is received for the first time;
4. when the intelligent terminal judges that the user identity characteristic is received for the first time, executing the step 5;
5. the intelligent terminal draws a voice spectrogram of the voice data, inputs the voice spectrogram into an age discrimination model to obtain an age bracket corresponding to the voice spectrogram, and executes the step 9;
6. when the intelligent terminal judges that the identity characteristic of the user is not received for the first time, the intelligent terminal judges whether the voice data of the user reaches a preset quantity (for example, 100 sections of voice data) or whether a preset time interval (for example, more than 3 months) is exceeded since the intelligent terminal is used by the user for the first time;
7. when the intelligent terminal judges that the voice data of the user reaches the preset quantity or exceeds the preset time interval from the first use of the intelligent terminal by the user, executing the step 5;
8. when the intelligent terminal judges that the voice data of the user does not reach the preset number or does not exceed the preset time interval from the first use of the intelligent terminal by the user, the intelligent terminal acquires the preset age bracket of the user, wherein the preset age bracket is the age bracket judged by the user last time;
9. when the intelligent terminal judges that the age range of the voice data is below 18 years old, the intelligent terminal judges that the user is immature, and at the moment, when the content is pushed for the user, the content which is unfavorable for children is shielded.
It can be understood that the terminal is preset with a corresponding relation between historical biometric data and identities, wherein the historical received biometric data corresponding to different identity characteristics is stored, and the terminal recommends different contents for different identity characteristics by using the corresponding relation between the historical biometric data and the identities, so that the recommendation accuracy is high; when the terminal receives the first biological identification data, the terminal judges whether the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, and when the terminal judges that the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, the terminal determines the first identity characteristic corresponding to the first biological identification data again by using a preset identity characteristic distinguishing model and recommends the first identity characteristic corresponding to the first information to be recommended, so that the recommendation intelligence is improved.
Example two
The embodiment of the present application provides a terminal 1, as shown in fig. 3, the terminal 1 may include:
the searching unit 10 is configured to search, when first biometric data is received, a first preset identity characteristic corresponding to the first biometric data from a historical biometric data and identity correspondence relationship;
a determining unit 11, configured to determine, by using a preset identity feature discrimination model, a first identity feature corresponding to first biometric data when the first preset identity feature is found and a data parameter of the first historical biometric data corresponding to the first preset identity feature satisfies an update condition, where the first historical biometric data is historical biometric data corresponding to the first preset identity feature in a correspondence relationship between the historical biometric data and an identity;
the display unit 12 is configured to search for first information to be recommended corresponding to the first identity characteristic, and when a recommendation instruction is received, display the first information to be recommended.
Optionally, the determining unit 11 is further configured to determine, by using the preset identity feature discrimination model, the first identity feature corresponding to the first biometric data when the first preset identity feature corresponding to the first biometric data is not found in the historical biometric data and identity correspondence relationship.
Optionally, the terminal 1 further includes: a storage unit 13;
the storage unit 13 is configured to store a correspondence between the first biometric data and the first identity feature in the historical biometric data and identity correspondence.
Optionally, the terminal 1 further includes: a matching unit 14;
the matching unit 14 is configured to match the first biometric data and the historical biometric data with historical biometric data in an identity mapping relationship;
the searching unit 10 is further configured to search for the first preset identity feature corresponding to the first historical biometric data from the historical biometric data and identity correspondence relationship when the first biometric data and the historical biometric data match the first historical biometric data in the identity correspondence relationship.
Optionally, the terminal 1 further includes: an acquisition unit 15;
the acquiring unit 15 is configured to acquire the number of the first historical biometric data or a time interval, where the time interval is a time difference between the reception of the first biometric data and the initial entry of the first historical biometric data;
the determining unit 11 is further configured to determine the quantity or the time interval as a data parameter of the first historical biometric data; and when the number meets a preset number or the time interval is greater than a preset time period, judging that the data parameters of the first historical biometric data meet the updating condition.
Optionally, the terminal 1 further includes: a replacement unit 16;
the replacing unit 16 is configured to replace a first preset identity feature in the historical biometric data and identity correspondence with the first identity feature.
Optionally, the searching unit 10 is further configured to search, when the first preset identity feature is found and the data parameter of the first historical biometric data does not satisfy the update condition, second information to be recommended corresponding to the first preset identity feature;
the display unit 12 is further configured to display the second information to be recommended when a recommendation instruction is received.
Optionally, the determining unit 11 is specifically configured to input the first biometric data into the preset identity feature judgment model, so as to obtain an age group and a gender corresponding to the first biometric data; and determining the age group and the gender corresponding to the first biological identification data as the first identity characteristic corresponding to the first biological identification data.
Optionally, the biometric data includes voice data, facial recognition data, and vein recognition data.
According to the terminal provided by the embodiment of the application, when first biological identification data is received, first preset identity characteristics corresponding to the first biological identification data are searched from the corresponding relation between the historical biological identification data and the identity; when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity; and searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received. Therefore, according to the terminal provided by the embodiment, the terminal is preset with the corresponding relation between the historical biological identification data and the identity, the historical received biological identification data corresponding to different identity characteristics is stored, and the terminal recommends different contents to different identity characteristics by using the corresponding relation between the historical biological identification data and the identity, so that the recommendation accuracy is high; when the terminal receives the first biological identification data, the terminal judges whether the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, and when the terminal judges that the historical biological identification data and the identity corresponding relation need to be updated by the first biological identification data, the terminal determines the first identity characteristic corresponding to the first biological identification data again by using a preset identity characteristic distinguishing model and recommends the first identity characteristic corresponding to the first information to be recommended, so that the recommendation intelligence is improved.
Fig. 4 is a schematic diagram of a composition structure of a terminal 1 according to an embodiment of the present application, and in practical application, based on the same disclosure concept of the foregoing embodiment, as shown in fig. 4, the terminal 1 according to the present embodiment includes: a processor 17, a memory 18, a display 19, and a communication bus 110.
In a Specific embodiment, the searching unit 10, the determining unit 11, the storing unit 13, the matching unit 14, the obtaining unit 15 and the replacing unit 16 may be implemented by a Processor 17 located on the terminal 1, the display 12 may be implemented by a display 19 located on the terminal 1, and the Processor 17 may be at least one of 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 CPU, a controller, a microcontroller and a microprocessor. It is understood that the electronic device for implementing the above-mentioned processor function may be other devices, and the embodiment is not limited in particular.
In the embodiment of the present application, the communication bus 110 is used for realizing connection communication among the processor 17, the memory 18 and the display 19; the processor 17 implements the information recommendation method according to the first embodiment when executing the running program stored in the memory 18.
The embodiment of the present application provides a storage medium, on which a computer program is stored, where the computer readable storage medium stores one or more programs, and the one or more programs are executable by one or more processors and applied to a terminal, and the computer program implements the information recommendation method according to the first embodiment.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (20)
1. An information recommendation method, characterized in that the method comprises:
when first biological identification data are received, searching a first preset identity characteristic corresponding to the first biological identification data from the corresponding relation between the historical biological identification data and the identity;
when the first preset identity characteristic is found and the data parameter of the first historical biological identification data corresponding to the first preset identity characteristic meets the updating condition, determining the first identity characteristic corresponding to the first biological identification data by using a preset identity characteristic discrimination model, wherein the first historical biological identification data is the historical biological identification data corresponding to the first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity;
and searching first information to be recommended corresponding to the first identity characteristic, and displaying the first information to be recommended when a recommendation instruction is received.
2. The method of claim 1, wherein the determining the first identity characteristic corresponding to the first biometric data by using a predetermined identity characteristic discrimination model, the method further comprises:
when the first preset identity characteristic corresponding to the first biological identification data is not found from the corresponding relation between the historical biological identification data and the identity, the first identity characteristic corresponding to the first biological identification data is determined by using the preset identity characteristic discrimination model.
3. The method of claim 2, wherein after determining the first identity characteristic corresponding to the first biometric data by using the predetermined identity characteristic discrimination model, the method further comprises:
storing a correspondence of the first biometric data and the first identity characteristic in the historical biometric data and identity correspondence.
4. The method according to claim 1, wherein the searching for the first preset identity characteristic corresponding to the first biometric data from the historical biometric data and identity correspondence relationship comprises:
matching the first biometric data and the historical biometric data with historical biometric data in an identity correspondence;
and when the first biological identification data and the historical biological identification data are matched with first historical biological identification data in the identity corresponding relation, searching the first preset identity characteristic corresponding to the first historical biological identification data from the historical biological identification data and identity corresponding relation.
5. The method of claim 1, wherein after searching for a first predetermined identity characteristic corresponding to the first biometric data from the historical biometric data and identity correspondence relationship, and before determining the first identity characteristic corresponding to the first biometric data by using a predetermined identity characteristic discrimination model, the method further comprises:
acquiring the quantity of first historical biometric data or a time interval, wherein the time interval is a time difference between the first biometric data received and the first historical biometric data initially recorded;
determining the quantity or the time interval as a data parameter of the first historical biometric data;
and when the number meets a preset number or the time interval is greater than a preset time period, judging that the data parameters of the first historical biometric data meet the updating condition.
6. The method of claim 1, wherein after determining the first identity characteristic corresponding to the first biometric data by using a predetermined identity characteristic discrimination model, the method further comprises:
and replacing a first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity by using the first identity characteristic.
7. The method of claim 1, wherein after searching for a first predetermined identity characteristic corresponding to the first biometric data from the historical biometric data and identity correspondence, the method further comprises:
when the first preset identity characteristic is found and the data parameter of the first historical biological identification data does not meet the updating condition, second information to be recommended corresponding to the first preset identity characteristic is found;
and when a recommendation instruction is received, displaying the second information to be recommended.
8. The method according to any one of claims 1 to 7, wherein the determining the first identity characteristic corresponding to the first biometric data by using a predetermined identity characteristic discrimination model comprises:
inputting the first biological identification data into the preset identity characteristic discrimination model to obtain the age group and the gender corresponding to the first biological identification data;
and determining the age group and the gender corresponding to the first biological identification data as the first identity characteristic corresponding to the first biological identification data.
9. The method of any of claims 1-7, wherein the biometric data includes voice data, facial recognition data, and vein recognition data.
10. A terminal, characterized in that the terminal comprises:
the searching unit is used for searching a first preset identity characteristic corresponding to first biological identification data from a corresponding relation between historical biological identification data and an identity when the first biological identification data is received;
a determining unit, configured to determine, by using a preset identity feature discrimination model, a first identity feature corresponding to first biometric data when the first preset identity feature is found and a data parameter of the first historical biometric data corresponding to the first preset identity feature satisfies an update condition, where the first historical biometric data is historical biometric data corresponding to the first preset identity feature in a correspondence relationship between the historical biometric data and an identity;
and the display unit is used for searching for first information to be recommended corresponding to the first identity characteristic and displaying the first information to be recommended when a recommendation instruction is received.
11. The terminal of claim 10,
the determining unit is further configured to determine the first identity feature corresponding to the first biometric data by using the preset identity feature discrimination model when the first preset identity feature corresponding to the first biometric data is not found from the historical biometric data and identity correspondence relationship.
12. The terminal of claim 11, wherein the terminal further comprises: a storage unit;
the storage unit is configured to store a correspondence between the first biometric data and the first identity feature in the historical biometric data and identity correspondence.
13. The terminal of claim 10, further comprising: a matching unit;
the matching unit is used for matching the first biological identification data and the historical biological identification data with historical biological identification data in identity corresponding relation;
the searching unit is further configured to search the first preset identity feature corresponding to the first historical biometric data from the historical biometric data and identity correspondence relationship when the first biometric data and the historical biometric data match the first historical biometric data in the identity correspondence relationship.
14. The terminal of claim 10, further comprising: an acquisition unit;
the acquisition unit is used for acquiring the quantity of first historical biological identification data or a time interval, wherein the time interval is a time difference between the first biological identification data received and the first historical biological identification data initially recorded;
the determining unit is further configured to determine the quantity or the time interval as a data parameter of the first historical biometric data; and when the number meets a preset number or the time interval is greater than a preset time period, judging that the data parameters of the first historical biometric data meet the updating condition.
15. The terminal of claim 10, further comprising: a replacement unit;
the replacing unit is used for replacing a first preset identity characteristic in the corresponding relation between the historical biological identification data and the identity by using the first identity characteristic.
16. The terminal of claim 10,
the searching unit is further configured to search second information to be recommended corresponding to the first preset identity feature when the first preset identity feature is searched and the data parameter of the first historical biometric data does not meet the updating condition;
the display unit is further used for displaying the second information to be recommended when a recommendation instruction is received.
17. The terminal according to any of claims 10-16,
the determining unit is specifically configured to input the first biometric data into the preset identity feature discrimination model to obtain an age group and a gender corresponding to the first biometric data; and determining the age group and the gender corresponding to the first biological identification data as the first identity characteristic corresponding to the first biological identification data.
18. A terminal according to any of claims 10-16, characterized in that the biometric data comprises voice data, facial recognition data and vein recognition data.
19. A terminal, characterized in that the terminal comprises: the device comprises a processor, a memory, a display and a communication bus, wherein the display is used for displaying first information to be recommended when a recommendation instruction is received; the processor, when executing the execution program stored in the memory, implements the method of any of claims 1-9.
20. A storage medium having stored thereon a computer program for application to a terminal, characterized in that the computer program, when being executed by a processor, is adapted to carry out the method according to any one of claims 1-9.
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| CN107995415A (en) * | 2017-11-09 | 2018-05-04 | 深圳市金立通信设备有限公司 | A kind of image processing method, terminal and computer-readable medium |
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