CN109767823A - Menu recommender system and method based on facial characteristics - Google Patents
Menu recommender system and method based on facial characteristics Download PDFInfo
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- 230000001815 facial effect Effects 0.000 title claims abstract description 189
- 238000000034 method Methods 0.000 title claims abstract description 28
- 235000013305 food Nutrition 0.000 claims description 137
- 239000000463 material Substances 0.000 claims description 73
- 238000002560 therapeutic procedure Methods 0.000 claims description 73
- 230000000694 effects Effects 0.000 claims description 16
- 239000008280 blood Substances 0.000 claims description 14
- 210000004369 blood Anatomy 0.000 claims description 14
- 235000005911 diet Nutrition 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 9
- 206010062717 Increased upper airway secretion Diseases 0.000 claims description 8
- 230000037213 diet Effects 0.000 claims description 8
- 238000010191 image analysis Methods 0.000 claims description 8
- 208000026435 phlegm Diseases 0.000 claims description 8
- 238000003745 diagnosis Methods 0.000 claims description 7
- 230000007812 deficiency Effects 0.000 claims description 6
- 230000000378 dietary effect Effects 0.000 claims description 6
- 208000031971 Yin Deficiency Diseases 0.000 claims description 5
- 208000004880 Polyuria Diseases 0.000 claims description 4
- 208000031975 Yang Deficiency Diseases 0.000 claims description 4
- 230000003213 activating effect Effects 0.000 claims description 4
- 230000035619 diuresis Effects 0.000 claims description 4
- 230000036541 health Effects 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 210000000952 spleen Anatomy 0.000 claims description 4
- 239000003814 drug Substances 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 3
- 235000013330 chicken meat Nutrition 0.000 description 6
- 241000287828 Gallus gallus Species 0.000 description 4
- 230000035764 nutrition Effects 0.000 description 4
- 235000016709 nutrition Nutrition 0.000 description 4
- 230000001976 improved effect Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
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- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013402 health food Nutrition 0.000 description 1
- 235000004280 healthy diet Nutrition 0.000 description 1
- 230000001256 tonic effect Effects 0.000 description 1
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Abstract
The present invention relates to menu recommender systems and method based on facial characteristics, menu recommender system includes subscriber terminal equipment and remote server, remote server connects subscriber terminal equipment, remote server is stored with the facial feature database of reflection ordinary user's constitution problem, and the facial characteristics in facial feature database is corresponded to each other with the constitution problem of ordinary user.User obtains facial characteristics and the corresponding constitution problem of facial characteristics in remote server in facial feature database using subscriber terminal equipment, knows the physical condition of user itself so that user compares according to the facial characteristics of itself facial actual conditions and acquisition；Remote server is special by the face in facial feature database and the corresponding constitution problem of facial characteristics feeds back to subscriber terminal equipment, and remote server can intelligently generate the personalized dietotherapy menu of matching user's body Geological Problems.
Description
Technical Field
The invention relates to the field of intelligent recipes, in particular to a system and a method for recommending recipes based on facial features.
Background
With the enhancement of the attention degree of people to healthy diet, various menu recommendation systems with menu recommendation functions are continuously proposed.
The user can obtain the favorite menu through operation by using the existing menu recommendation system, and can perform data analysis according to the existing food materials and the health information input by the user, so that a nutrition menu scheme is automatically generated by the menu recommendation system.
However, the nutrition recipe schemes automatically generated by the existing recipe recommendation system are not guided by professional doctors, and the automatically generated nutrition recipes are generated based on the existing food materials, so that the nutrition recipes recommended by the recipe recommendation system are not suitable for the actual physical condition of the user, and the actual need of matching and improving the physical condition of the user is difficult to achieve.
Disclosure of Invention
The invention provides a menu recommendation system and method based on facial features aiming at the prior art. The menu recommendation system can be used for generating a personalized food therapy menu suitable for improving the physique of the user.
Another technical problem to be solved by the present invention is to provide a menu recommendation method based on facial features in view of the above prior art.
The technical scheme adopted by the invention for solving the above-mentioned primary technical problems is as follows: the menu recommendation system based on the facial features is characterized by comprising user terminal equipment and a remote server connected with the user terminal equipment; a facial feature database aiming at the constitution problem of the user is stored in the remote server; the facial feature database comprises facial features and constitution problems corresponding to the facial features; wherein:
the user terminal equipment is used for the user to acquire the facial features in the facial feature database in the remote server and the physique problems corresponding to the facial features, so that the user can acquire the physique condition of the user according to the actual facial situation of the user and the acquired facial features by comparison, and the physique condition of the user is sent to the remote server; or the user terminal equipment is used for directly sending the facial features judged by the user to a remote server;
the remote server is used for feeding the facial features in the facial feature database and the physique problems corresponding to the facial features back to the user terminal equipment according to the request of the user terminal equipment, and simultaneously generating an individualized diet therapy menu for improving the physique problems of the user according to the physique conditions of the user sent by the user terminal equipment;
or, under the condition that the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server searches the facial feature database for the constitution problem corresponding to the facial features according to the facial features judged by the user sent by the user terminal equipment, and generates a personalized food therapy menu for improving the constitution problem of the user.
In an improved manner, the menu recommendation system based on the facial features further comprises a food material product purchase platform connected with the user terminal device, so that a user can purchase required food materials on the food material product purchase platform by using the user terminal device.
In the menu recommendation system based on the facial features, the user terminal equipment is also provided with a photo uploading module for the user to send the facial photo of the user to a remote server for processing;
the remote server is also provided with an image analysis module which can analyze the facial features of the facial photos uploaded by the user terminal equipment;
the remote server can also find the constitution problem corresponding to the facial features by searching the facial feature database according to the facial feature analysis result of the user output by the image analysis module, and generate a personalized food therapy menu for improving the constitution problem of the user.
In order to facilitate the self-service interaction of the user for the facial features with a remote server, the remote server is further improved, and the remote server is provided with a personal assistant module for realizing the interaction of the user for the facial feature problems.
The technical scheme adopted by the invention for solving the other technical problem is as follows: the menu recommendation method based on the facial features is characterized by comprising the following steps 1 to 6:
step 1, a remote server establishes a facial feature database aiming at the constitution problem of a user in advance; the facial feature database comprises facial features and constitution problems corresponding to the facial features;
step 2, the user terminal equipment sends a face diagnosis request to a remote server;
step 3, after the remote server receives the face diagnosis request sent by the user terminal equipment, the remote server feeds back the face feature database to the user terminal equipment;
step 4, the user terminal equipment receives the facial feature database fed back by the remote server;
step 5, the user compares the facial features received by the user terminal equipment and the physique problems corresponding to the facial features according to the facial situation of the user, so as to acquire the physique situation of the user;
and 6, the remote server obtains the constitution problem of the user according to the facial features of the user and generates a personalized food therapy menu for improving the constitution problem of the user.
In a further improvement, the facial feature-based recipe recommendation method further includes: the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server finds the constitution problems corresponding to the facial features by searching the facial feature database according to the facial features judged by the user sent by the user terminal equipment, then the remote server generates an individual food therapy menu for improving the constitution problems of the user, and feeds back the individual food therapy menu to the user terminal equipment.
In order to facilitate the remote server to generate a diet therapy scheme aiming at the physique problem of the user, the facial feature-based menu recommendation method further comprises the following steps: and sending the face photo of the user to a remote server by the user through user terminal equipment, carrying out face feature analysis on the face photo of the user by the remote server according to an image analysis module which is arranged on the remote server and can carry out face feature analysis on the face photo of the user and find the constitution problem corresponding to the face feature by searching a face feature database, and generating a personalized food therapy menu for improving the constitution problem of the user.
In a further improvement, the facial feature-based recipe recommendation method further includes: and the remote server updates the face feature database thereof according to the preset.
Optionally, in the facial feature-based recipe recommendation method, the facial feature data in the facial feature database includes at least one of facial speckle feature data, gas color feature data, and tongue feature data.
Specifically, in the menu recommendation method based on the facial features, the personalized dietary therapy menu generated by the remote server is generated according to traditional Chinese medicine dietary therapy health preserving data.
Further, the facial feature-based recipe recommendation method further includes: calculating the recommendation degree of the food therapy effect of each food material by the remote server, and recommending the food materials suitable for the physique of the user to the user by the remote server according to the physique of the user and the obtained recommendation degree of each food material; the method comprises the following steps of a, a remote server, a food therapy effect recommendation degree calculation module, a food therapy effect recommendation module and a food therapy effect recommendation module, wherein the step of the remote server calculating the food therapy effect recommendation degree of each food material comprises the following steps of a to d:
a, a remote server classifies common physique of a user to obtain a common physique database for the user; wherein the common constitution database comprises yin deficiency, yang deficiency, qi and blood deficiency, phlegm dampness, damp-heat, blood stasis and qi stagnation; the ith constitution mark in the common constitution database is ai，i∈[1,7](ii) a Constitutions of the i th type aiThe proportion mark occupied in the user common physique database
Step b, classifying and dividing the food therapy efficacy of each food material by a remote server to obtain a food therapy efficacy label database of each food material, and sequentially calculating the efficacy proportion of each efficacy label of each food material in the food therapy efficacy label database corresponding to the food material by the remote server; wherein, aiming at each food material, the food therapy efficacy label database comprises a nourishing efficacy label, a dampness resolving and phlegm eliminating efficacy label, a blood activating efficacy label, a qi tonifying efficacy label, a damp and hot efficacy label, a heat clearing and diuresis inducing efficacy label and a spleen tonifying efficacy label; wherein the jth food material mark is bj，j∈[1,J]J identifies the total number of categories of food materials; the jth food material bjThe m type efficacy label corresponds to the food material bjEfficacy gravity markers in the dietary efficacy signature databasem∈[1,7]；
Step c, the remote server obtains the recommendation degree of each food material for the current user according to the obtained physique of the user and the food therapy efficacy label database corresponding to each food material; wherein, mark the jth food material bjThe recommendation degree of the current user is marked asWherein:
and d, the remote server takes the food materials with the highest recommendation degree as a priority recommendation recipe to send to the current user so as to improve the physique of the current user.
Compared with the prior art, the invention has the advantages that:
firstly, in the invention, a facial feature database based on facial features and constitution problems of common users is established, and the facial features correspond to the constitution problems of the users, so that the facial feature database for the users to conveniently identify the constitution problems of the users is formed, and the users can conveniently diagnose the constitution problems of the users primarily;
secondly, the remote server can generate a personalized diet therapy menu for matching and improving the physique of the user according to the physique problem of the user, so that the user is helped to improve the physique of the user to a certain extent;
and thirdly, the remote server can generate a more accurate personalized food therapy menu for improving the physique of the user according to the facial features of the user, so that the recipe positioning range is reduced, and the private health food therapy menu is created.
Finally, the user can interact with the personal assistant module at the remote server for the facial feature problem, so that the user can obtain professional consultation for the food therapy menu.
Drawings
FIG. 1 is a schematic diagram of a facial feature-based recipe recommendation system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a recipe recommendation method based on facial features according to a second embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
Example one
As shown in fig. 1, a menu recommendation system based on facial features in the first embodiment includes a user terminal device and a remote server connected to the user terminal device; a facial feature database aiming at the constitution problem of the user is stored in the remote server; the facial feature database comprises facial features and constitution problems corresponding to the facial features; the facial features in the facial feature database correspond to the constitution problems of the ordinary users; the facial features and the corresponding constitutional problems are obtained by diagnosis and division in advance by doctors;
for example, for a facial feature database within a remote server, facial feature data in the facial feature database includes at least one of facial speckle feature data, gas color feature data, and tongue feature data; wherein:
the user terminal equipment is used for the user to acquire the facial features in the facial feature database in the remote server and the physique problems corresponding to the facial features, so that the user can acquire the physique condition of the user according to the comparison between the actual condition of the user's face and the acquired facial features and send the physique condition of the user's body to the remote server; or the user terminal equipment is used for directly sending the facial features judged by the user to the remote server;
the corresponding situation between the facial features of the user and the physique problems of the user is obtained based on analysis of doctors according to a large amount of common user information; for example, when the face of a common user has a plurality of spots, the general user is indicated to have a strong constitution and a bad body, so that the facial features with the spots can be corresponding to the constitution problem of the strong constitution and the strong body; the user terminal equipment can be a mobile terminal, and also can be terminal equipment such as a computer;
the remote server is used for feeding the facial features in the facial feature database and the physique problems corresponding to the facial features back to the user terminal equipment according to the request of the user terminal equipment, and simultaneously generating an individualized diet therapy menu for improving the physique problems of the user according to the physique conditions of the user sent by the user terminal equipment; or,
under the condition that the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server searches the facial feature database for the physique problem corresponding to the facial features according to the facial features judged by the user sent by the user terminal equipment, and generates a personalized food therapy menu for improving the physique problem of the user.
For example, in the case of a remote server generating a personalized diet recipe for improving the physical problems of the user: when the remote server judges that the physique and the fire are more abundant, the remote server automatically generates a personalized food therapy menu for eliminating the abundance of the fire, so that the fire in the physique of the user is reduced; the personalized diet therapy menu generated by the remote server is generated based on the mutual corresponding relation between the physique problem and the facial features which are stored in the facial feature database, and the personalized diet therapy menu can improve the physique problem of the corresponding user to a certain extent;
in addition, the menu recommendation system in this embodiment further includes a food material product purchase platform for connection of the user terminal device, so that the user can more conveniently select and purchase required food materials at the food material product purchase platform according to the personalized food therapy menu. The food materials selected by doctors in person are preferably selected by various food materials in the food material product purchasing platform, so that the food therapy gourmet food with better quality can be cooked by the purchased food materials, and the physique of the user can be improved efficiently.
In order to conveniently acquire the facial photos of the user and accurately analyze the menu suitable for improving the physique of the user, the user terminal equipment in the embodiment is also provided with a photo uploading module for the user to send the facial photos to a remote server for processing; the remote server is also provided with an image analysis module which can analyze the facial features of the facial photos uploaded by the user terminal equipment; the remote server can also find the constitution problem corresponding to the facial features by searching the facial feature database according to the facial feature analysis result of the user output by the image analysis module, and generate a personalized food therapy menu for improving the constitution problem of the user.
Of course, the remote server may also have a personal assistant module that enables interaction with the user for facial feature issues, so that the user interacts with the remote server for facial features on his/her own.
Example two
Referring to fig. 2, in a second embodiment, the recipe recommendation method based on facial features uses the recipe recommendation system in the first embodiment, and the recipe recommendation method based on facial features includes the following steps 1 to 6:
step 1, a remote server establishes a facial feature database aiming at the constitution problem of a user in advance; the facial feature database comprises facial features and constitution problems corresponding to the facial features; the correspondence between the facial features of the user and the physical problems of the user is obtained based on analysis of a doctor according to a large amount of common user information; for example, for a facial feature database within a remote server, facial feature data in the facial feature database includes at least one of facial speckle feature data, gas color feature data, and tongue feature data;
specifically, a doctor divides the corresponding situation between the facial features of the common user and the physique problems of the user according to the facial features of the common user in advance; for example, when the face of a common user has a plurality of spots, the general user is indicated to have a strong constitution and a bad body, so that the facial features with the spots can be corresponding to the constitution problem of the strong constitution and the strong body;
step 2, the user terminal equipment sends a face diagnosis request to a remote server;
step 3, after the remote server receives the face diagnosis request sent by the user terminal equipment, the remote server feeds back the face feature database to the user terminal equipment;
step 4, the user terminal equipment receives the facial feature database fed back by the remote server; for example, when the face of a common user has a lot of spots, the remote server sends the physical problems of the user that the physical constitution and fire are abundant and the body is not good enough to the current user terminal equipment;
step 5, the user compares the facial features received by the user terminal equipment and the physique problems corresponding to the facial features according to the facial situation of the user, so as to acquire the physique situation of the user; the user can observe and match according to the face condition of the user, the characteristics of the received face and the constitution problem to obtain the constitution problem of the user;
and 6, the remote server obtains the constitution problem of the user according to the facial features of the user and generates a personalized food therapy menu for improving the constitution problem of the user. The personalized food therapy menu is generated based on the mutual corresponding relation between the physique problems and the facial features which are stored in the facial feature database, and the personalized food therapy menu can improve the physique problems of corresponding users to a certain extent. The personalized food therapy menu generated by the remote server is preferably generated according to traditional Chinese medicine food therapy health preserving data.
The menu recommendation method based on the facial features in the second embodiment may further include: the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server finds the constitution problems corresponding to the facial features by searching the facial feature database according to the facial features judged by the user sent by the user terminal equipment, then the remote server generates a personalized food therapy menu for matching and improving the constitution problems of the user, and feeds back the personalized food therapy menu to the user terminal equipment.
The menu recommendation method based on the facial features can also further comprise the step that the user purchases food materials required by the personalized food therapy menu by using the user terminal equipment.
In addition, the remote server acquires the facial feature condition and/or physical condition of the user, so that the remote server generates a personalized food therapy scheme for improving the physical problem of the current user, and the remote server is more convenient to generate the food therapy scheme for improving the physical quality of the user.
Certainly, the remote server can update its own facial feature database according to the preset settings, so as to ensure that the facial feature database corresponding to the user constitution problem in the remote server has better universality and accuracy. For example, the remote server updates its own stored facial feature database according to a preset update cycle.
Further, in this embodiment, the method for recommending a recipe based on facial features may further include: calculating the recommendation degree of the food therapy effect of each food material by the remote server, and recommending the food materials suitable for the physique of the user to the user by the remote server according to the physique of the user and the obtained recommendation degree of each food material; the method comprises the following steps of a, a remote server, a food therapy effect recommendation degree calculation module, a food therapy effect recommendation module and a food therapy effect recommendation module, wherein the step of the remote server calculating the food therapy effect recommendation degree of each food material comprises the following steps of a to d:
a, a remote server classifies common physique of a user to obtain a common physique database for the user; whereinThe common constitution database comprises yin deficiency, yang deficiency, qi and blood deficiency, phlegm dampness, damp-heat, blood stasis and qi stagnation; the ith constitution mark in the common constitution database is ai，i∈[1,7](ii) a Constitutions of the i th type aiThe proportion mark occupied in the user common physique database
For example, for the user a, the proportion of the various common constitutions of the user a in the common constitutional database is shown in the following table:
| user' s | Yin deficiency | Yang deficiency | Deficiency of Qi and blood | Phlegm-dampness | Damp-heat | Blood stasis | Qi stagnation |
| User nail | 0.6 | 0 | 0.2 | 0 | 0 | 0 | 0.1 |
Step b, classifying and dividing the food therapy efficacy of each food material by a remote server to obtain a food therapy efficacy label database of each food material, and sequentially calculating the efficacy proportion of each efficacy label of each food material in the food therapy efficacy label database corresponding to the food material by the remote server;
wherein, aiming at each food material, the food therapy efficacy label database comprises a nourishing efficacy label, a dampness resolving and phlegm eliminating efficacy label, a blood activating efficacy label, a qi tonifying efficacy label, a damp and hot efficacy label, a heat clearing and diuresis inducing efficacy label and a spleen tonifying efficacy label; wherein the jth food material mark is bj，j∈[1,J]J identifies the total number of categories of food materials; the jth food material bjThe m type efficacy label corresponds to the food material bjEfficacy gravity markers in the dietary efficacy signature databasem∈[1,7]；
Each food material corresponds to different dietary therapy labels, for example, in the following table, chicken is taken as an example, and the chicken has the effects of nourishing, tonifying qi and activating blood. The proportion of each is 0.6,0.5 and 0.4; see in particular the following table:
| food material | Tonic food | Eliminating dampness and phlegm | Promoting blood circulation | Replenishing Qi | Damp-heat | Clearing heat and promoting diuresis | Invigorating spleen |
| Chicken meat | 0.6 | 0 | 0.4 | 0.5 | 0 | 0 | 0.1 |
The chicken suitable for yin deficiency has a ratio of 0.6/(0.6+0.4+0.5+0.1) ═ 0.375;
finding the sum of all labels corresponding to deficiency of both qi and blood, the ratio of chicken meat adapted to deficiency of both qi and blood is (0.4+0.5)/(0.6+0.4+0.5+0.1) ═ 9/16 (equal to about 0.56);
step c, the remote server obtains the recommendation degree of each food material for the current user according to the obtained physique of the user and the food therapy efficacy label database corresponding to each food material; wherein, mark the jth food material bjThe recommendation degree of the current user is marked asWherein:
by using the two tables, the recommendation degree of the food material chicken to the user A can be calculated as follows:
0.6*0.375+0*0+0.2*0.56+0*0+0*0+0*0+0.1*0.1＝0.347；
similarly, the recommendation degrees of other food materials to the user A can be calculated, and then the food material with the highest recommendation degree can be selected from all the food materials;
and d, the remote server takes the food materials with the highest recommendation degree as a priority recommendation recipe to send to the current user so as to improve the physique of the current user.
Although preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The menu recommendation system based on the facial features is characterized by comprising user terminal equipment and a remote server connected with the user terminal equipment; a facial feature database aiming at the constitution problem of the user is stored in the remote server; the facial feature database comprises facial features and constitution problems corresponding to the facial features; wherein:
the user terminal equipment is used for the user to acquire the facial features in the facial feature database in the remote server and the physique problems corresponding to the facial features, so that the user can acquire the physique condition of the user according to the actual facial situation of the user and the acquired facial features by comparison, and the physique condition of the user is sent to the remote server; or the user terminal equipment is used for directly sending the facial features judged by the user to a remote server;
the remote server is used for feeding the facial features in the facial feature database and the physique problems corresponding to the facial features back to the user terminal equipment according to the request of the user terminal equipment, and simultaneously generating an individualized diet therapy menu for improving the physique problems of the user according to the physique conditions of the user sent by the user terminal equipment;
or, under the condition that the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server searches the facial feature database for the constitution problem corresponding to the facial features according to the facial features judged by the user sent by the user terminal equipment, and generates a personalized food therapy menu for improving the constitution problem of the user.
2. The facial feature-based recipe recommendation system according to claim 1, further comprising a food material product purchase platform for a user terminal device to connect to, so that a user can purchase a desired food material on the food material product purchase platform by using the user terminal device.
3. The facial feature-based menu recommendation system according to claim 1, wherein the user terminal device further has a photo uploading module for the user to send his facial photo to a remote server for processing;
the remote server is also provided with an image analysis module which can analyze the facial features of the facial photos uploaded by the user terminal equipment;
the remote server can also find the constitution problem corresponding to the facial features by searching the facial feature database according to the facial feature analysis result of the user output by the image analysis module, and generate a personalized food therapy menu for improving the constitution problem of the user.
4. The facial feature based recipe recommendation system according to any one of claims 1-3, characterized in that the remote server has a personal assistant module enabling interaction with a user for facial feature questions.
5. A recipe recommendation method of the facial feature based recipe recommendation system according to claim 1, characterized by comprising the following steps 1 to 6:
step 1, a remote server establishes a facial feature database aiming at the constitution problem of a user in advance; the facial feature database comprises facial features and constitution problems corresponding to the facial features;
step 2, the user terminal equipment sends a face diagnosis request to a remote server;
step 3, after the remote server receives the face diagnosis request sent by the user terminal equipment, the remote server feeds back the face feature database to the user terminal equipment;
step 4, the user terminal equipment receives the facial feature database fed back by the remote server;
step 5, the user compares the facial features received by the user terminal equipment and the physique problems corresponding to the facial features according to the facial situation of the user, so as to acquire the physique situation of the user;
and 6, the remote server obtains the constitution problem of the user according to the facial features of the user and generates a personalized food therapy menu for improving the constitution problem of the user.
6. The recipe recommendation method according to claim 5, further comprising: the user terminal equipment directly sends the facial features judged by the user to the remote server, the remote server finds the constitution problems corresponding to the facial features by searching the facial feature database according to the facial features judged by the user sent by the user terminal equipment, then the remote server generates an individual food therapy menu for improving the constitution problems of the user, and feeds back the individual food therapy menu to the user terminal equipment.
7. The recipe recommendation method according to claim 5, further comprising: and sending the face photo of the user to a remote server by the user through user terminal equipment, carrying out face feature analysis on the face photo of the user by the remote server according to an image analysis module which is arranged on the remote server and can carry out face feature analysis on the face photo of the user and find the constitution problem corresponding to the face feature by searching a face feature database, and generating a personalized food therapy menu for improving the constitution problem of the user.
8. The recipe recommendation method according to claim 5, further comprising: and the remote server updates the face feature database thereof according to the preset.
9. The recipe recommendation method according to claim 5, wherein the facial feature data in the facial feature database includes at least one of facial speckle feature data, gas color feature data, and tongue feature data; or the personalized food therapy menu generated by the remote server is generated according to the traditional Chinese medicine food therapy health preserving data.
10. The recipe recommendation method according to claim 5, further comprising: calculating the recommendation degree of the food therapy effect of each food material by the remote server, and recommending the food materials suitable for the physique of the user to the user by the remote server according to the physique of the user and the obtained recommendation degree of each food material; the method comprises the following steps of a, a remote server, a food therapy effect recommendation degree calculation module, a food therapy effect recommendation module and a food therapy effect recommendation module, wherein the step of the remote server calculating the food therapy effect recommendation degree of each food material comprises the following steps of a to d:
step a, the remote server classifies the common constitution of the user to obtain the common constitution data aiming at the userA library; wherein the common constitution database comprises yin deficiency, yang deficiency, qi and blood deficiency, phlegm dampness, damp-heat, blood stasis and qi stagnation; the ith constitution mark in the common constitution database is ai，i∈[1,7](ii) a Constitutions of the i th type aiThe proportion mark occupied in the user common physique database
Step b, classifying and dividing the food therapy efficacy of each food material by a remote server to obtain a food therapy efficacy label database of each food material, and sequentially calculating the efficacy proportion of each efficacy label of each food material in the food therapy efficacy label database corresponding to the food material by the remote server; wherein, aiming at each food material, the food therapy efficacy label database comprises a nourishing efficacy label, a dampness resolving and phlegm eliminating efficacy label, a blood activating efficacy label, a qi tonifying efficacy label, a damp and hot efficacy label, a heat clearing and diuresis inducing efficacy label and a spleen tonifying efficacy label; wherein the jth food material mark is bj，j∈[1,J]J identifies the total number of categories of food materials; the jth food material bjThe m type efficacy label corresponds to the food material bjEfficacy gravity markers in the dietary efficacy signature databasem∈[1,7]；
Step c, the remote server obtains the recommendation degree of each food material for the current user according to the obtained physique of the user and the food therapy efficacy label database corresponding to each food material; wherein, mark the jth food material bjThe recommendation degree of the current user is marked asWherein:
and d, the remote server takes the food materials with the highest recommendation degree as a priority recommendation recipe to send to the current user so as to improve the physique of the current user.
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| CN201711095520.5A CN109767823A (en) | 2017-11-09 | 2017-11-09 | Menu recommender system and method based on facial characteristics |
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| CN201711095520.5A CN109767823A (en) | 2017-11-09 | 2017-11-09 | Menu recommender system and method based on facial characteristics |
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| CN111640486A (en) * | 2020-05-27 | 2020-09-08 | 合肥美的电冰箱有限公司 | Menu recommendation method and system, electronic device and storage medium |
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