CN110910986A - User beverage recommendation method and device - Google Patents
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Abstract
The application provides a user beverage recommendation method and device, wherein the method comprises the steps of responding to a beverage recommendation request of a user, and sending a user physique self-checking table to the user, wherein the user physique self-checking table comprises a plurality of problems related to physique; collecting feedback information of a user; calculating the constitution score of the user according to the score corresponding to each option of each question, and determining the beverage corresponding to the recommended type according to the constitution score; and pushing the recommended type of beverage to a user. The problem that the user can not know the beverage adaptive to the physique is solved, the user physique data are acquired, the beverage of the corresponding type is determined according to the physique characteristics of the user, and the user experience effect is improved.
Description
Technical Field
The application belongs to the technical field of health management, and particularly relates to a user beverage recommendation method and device.
Background
More and more people pay attention to the quality of life, the demands of people with different physiques on substances are different, the proportion of people in sub-health at present is more than 70%, and scientific guidance on diet and energy intake of diet and other life is generally needed.
The beverage belongs to one of material requirements of users, different types of beverages have different influences on people with different constitutions, particularly for newly developed beverages, the users often do not know which beverage the constitutions of the users are suitable for, even if the users judge according to the formula of the beverage and the constitutions of the users, the subjectivity is high, the constitution identification needs abundant knowledge, and the experience dependence is high.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present application provides a method and an apparatus for recommending a user beverage, which determine a beverage suitable for a user according to a physical research problem.
In a first aspect of the present application, a user beverage recommendation method includes: responding to a beverage recommendation request of a user, and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitutions; collecting feedback information of a user; calculating the constitution score of the user according to the score corresponding to each option of each question, and determining the recommended beverage of the corresponding type according to the constitution score; and pushing the recommended type of beverage to a user.
Preferably, the responding to the beverage recommendation request of the user is preceded by: displaying link information capable of requesting to connect a server to a user; and receiving a connection request carrying user registration information, and connecting with the user side.
Preferably, the calculating the physique score of the user according to the score corresponding to each option of each question comprises: determining the score of each question according to the feedback information of the user; grouping the questions in the user physique self-lookup table; and determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
Preferably, determining the corresponding type of recommended beverage based on the fitness score comprises: dividing said beverage into a first type of beverage that is relatively mild and a plurality of other conditioning types of beverages having different conditioning functions; setting a first recommended threshold value of the first type of beverage, and setting upper and lower recommended threshold values of each conditioning type of beverage; and if the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit as the optimal recommended beverage, otherwise, if the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold of the first type beverage, determining the first type beverage as the optimal recommended beverage.
Preferably, after determining the optimal recommended drink, further comprising determining a sub-optimal recommended drink, the sub-optimal recommended drink comprising: a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
In a second aspect of the present application, a user beverage recommendation device, comprising: the constitution test module is used for responding to a beverage recommendation request of a user and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitution; the test result collection module is used for collecting feedback information of the user; the beverage recommending module is used for calculating the constitution scores of the users according to the scores corresponding to the options of each question and determining recommended beverages of corresponding types according to the constitution scores; and the pushing module is used for pushing the recommended type of beverage to a user.
Preferably, the fitness test module further comprises: the link information generating unit is used for displaying the link information which can request to connect the server to the user; and the connection unit is used for receiving the connection request carrying the user registration information and connecting the connection request with the user side.
Preferably, the beverage recommendation module comprises: the question score determining unit is used for determining the score of each question according to the feedback information of the user; the grouping unit is used for grouping the problems in the user physique self-lookup table; and each group of conversion score determining unit is used for determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
Preferably, the beverage recommendation module comprises: the beverage classification unit is used for classifying the beverage into a first type of relatively flat beverage and other multiple conditioning type beverages with different conditioning functions; the threshold setting unit is used for setting a first recommended threshold of the first type of beverage and setting the upper limit and the lower limit of the recommended threshold of each conditioning type of beverage; and the beverage type determining unit is used for determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit of the conditioning type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, otherwise, determining the first type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold value of the first type beverage.
Preferably, the beverage type determination unit further comprises a secondary beverage determination subunit for determining a sub-optimal recommended beverage after determining the optimal recommended beverage, the sub-optimal recommended beverage comprising: a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
The problem that the user can not know the beverage adaptive to the physique is solved, the user physique data are acquired, the beverage of the corresponding type is determined according to the physique characteristics of the user, and the user experience effect is improved.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of a method for user beverage recommendation of the present application.
FIG. 2 is a block diagram of another preferred embodiment of the user beverage recommendation method of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all embodiments of the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application, and should not be construed as limiting the present application. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application. Embodiments of the present application will be described in detail below with reference to the drawings.
In a first aspect, the present application provides a method for recommending a user's beverage, as shown in fig. 1, including:
and step S1, responding to the beverage recommendation request of the user, and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitution.
And step S2, collecting feedback information of the user.
And step S3, calculating the constitution score of the user according to the score corresponding to each option of each question, and determining the recommended beverage of the corresponding type according to the constitution score.
Step S4, pushing the recommended type of beverage to the user.
In some optional embodiments, the responding to the user's beverage recommendation request is preceded by: displaying information capable of requesting to connect a server to a user; and receiving a connection request carrying user registration information, and connecting with the user side.
In this embodiment, the information connected to the server is, for example, two-dimensional code connection, the user establishes connection with the server by scanning the two-dimensional code to obtain a physique questionnaire of the server, the two-dimensional code connection may be a website or a public number attention page, and the user enters the public number to perform a test after paying attention.
In some optional embodiments, the calculating the fitness score of the user according to the score corresponding to each option of each question includes: determining the score of each question according to the feedback information of the user; grouping the questions in the user physique self-lookup table; and determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
In this embodiment, the questions in the user constitution self-lookup table are grouped and generally divided according to the theory of traditional Chinese medicine, including mild nature, qi deficiency nature, yang deficiency nature, yin deficiency nature, phlegm dampness nature, damp-heat nature, blood stasis nature, qi stagnation nature, and specific innate nature. In alternative embodiments, the division may be performed in other ways.
In step S3, calculating the physique score of the user according to the score corresponding to each option of each question refers to comparing the user feedback condition with a database or a standard to obtain a score, for example, in this embodiment, the pre-established standard for each question corresponding to nine physiques in the traditional Chinese medicine includes:
1. peace and quiet matter (A type)
Note that entries marked with x are first scored backwards, i.e.: 1 → 5, 2 → 4, 3 → 3, 4 → 2, 5 → 1.
2. Qi deficiency (B pattern)
3. Yang deficiency (C type)
4. Yin deficiency (D type)
5. Phlegm dampness (E type)
6. Damp-heat mass (F type)
7. Blood stasis (G type)
8. Qi depression essence (H type)
9. Specific endowment essence (I type)
In step S3, determining the conversion score of the group according to the ratio of the total score in the group to the number of the questions in the group specifically includes:
each question is scored according to 5 grades, the original score and the conversion score are calculated, and the type is judged according to the standard.
The original score is the sum of the scores of the individual entries.
Conversion fraction ═ [ (original fraction-number of entries)/(number of entries × 4) ] × 100.
In some alternative embodiments, determining the respective type of recommended beverage based on the fitness score comprises: dividing said beverage into a first type of beverage that is relatively mild and a plurality of other conditioning types of beverages having different conditioning functions; setting a first recommended threshold value of the first type of beverage, and setting upper and lower recommended threshold values of each conditioning type of beverage; and if the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit as the optimal recommended beverage, otherwise, if the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold of the first type beverage, determining the first type beverage as the optimal recommended beverage.
In some optional embodiments, after determining the optimal recommended beverage, further comprising determining a sub-optimal recommended beverage, the sub-optimal recommended beverage comprising: a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
In this embodiment, the most recommended beverage is a beverage recommended to be frequently drunk, the less recommended beverage is a beverage recommended to be frequently drunk together with the most recommended beverage, the frequency is slightly lower, and the contraindication type beverage is a beverage recommended to be drunk less or not.
For example, the first recommended threshold is 60, the upper and lower recommended thresholds for each type of conditioning beverage, and the threshold range are all set to 30-40. The recommendation algorithm is:
1. firstly, determining the conversion score of the problem group corresponding to each conditioning type beverage, and preferentially recommending the corresponding conditioning type beverage if the conversion score is more than or equal to 40;
2. if the conditioning type beverage is not less than or equal to 40 points, calculating the conversion point of the first type beverage corresponding to the problem group, and if the conditioning type beverage is more than or equal to 60 points, preferentially recommending the first type beverage;
3. if a conversion score for the problem group is between 30 and 40 for a certain type of conditioning beverage at the same time as the first type of beverage is recommended, the conditioning type of beverage is also recommended at the same time.
4. According to the above three recommendation algorithms, in an alternative embodiment:
if there is no conditioning type beverage with a score of 40 or more and the first type beverage has a conversion score of less than 60 for the problem group, it is recommended to convert the conditioning type beverage with a conversion score of between 30 and 40 for the problem group.
It should be noted that, for example, for the nine constitutions, when the conversion score corresponding to the constitution C is greater than 30 minutes and the conversion score corresponding to the constitution D, F is less than 30 minutes, it is suggested that beverages of the type corresponding to the constitution D and the constitution F are forbidden, and the forbidden meaning is that less or no drinking is suggested, when the conversion score corresponding to the constitution D is greater than 30 minutes and the conversion score corresponding to the constitution C is less than 30 minutes, it is suggested that beverages of the type corresponding to the constitution C are forbidden, and when the conversion score corresponding to the constitution F is greater than 30 minutes and the conversion score corresponding to the constitution C is less than 30 minutes, it is suggested that beverages of the type corresponding to the constitution C are forbidden.
In this embodiment, according to the above nine constitutions, the corresponding a-type beverage, that is, the first-type beverage is a mild plant-type beverage, for example, a beverage containing raspberry (warm sour), wolfberry, and jujube, etc. which is relatively balanced, the corresponding B-type beverage is a beverage mainly providing qi-invigorating function, for example, a beverage containing licorice, ginseng, jujube, yam, etc., the corresponding C-type beverage is a beverage mainly providing yang-invigorating function, for example, a beverage containing clove, cinnamon, ginger, and wolfberry, etc., the corresponding D-type beverage is a beverage mainly providing yin-nourishing and fluid-producing function, for example, a beverage containing polygonatum odoratum, smoked plum, wolfberry, mulberry, and chrysanthemum, the corresponding E-type beverage is a beverage mainly providing phlegm-resolving and dampness, for example, a beverage containing hawthorn, fingered citron, sea buckthorn, poria, orange peel, and coix seed, the corresponding F-type beverage is a beverage mainly providing heat-resolving and dampness, for example, beverages containing hyacinth dolichos flower, frangipani flower, honeysuckle flower, poria cocos, coix seed and the like, corresponding G-type beverages, beverages mainly providing functions of activating blood and dissolving stasis, for example, beverages containing hawthorn fruit, sea buckthorn, peach seed and the like, corresponding H-type beverages, beverages mainly providing functions of soothing liver and regulating qi, for example, beverages containing seville orange flower, fingered citron, mint, allium macrostemon and the like, corresponding I-type beverages, beverages mainly providing functions of preventing allergy, for example, beverages containing Chinese yam, Chinese date, licorice and the like.
The second aspect of the present application provides an apparatus corresponding to the above-mentioned method for recommending a user's beverage, as shown in fig. 2, which mainly includes: the constitution test module is used for responding to a beverage recommendation request of a user and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitution; the test result collection module is used for collecting feedback information of the user; the beverage recommending module is used for calculating the constitution scores of the users according to the scores corresponding to the options of each question and determining recommended beverages of corresponding types according to the constitution scores; and the pushing module is used for pushing the recommended type of beverage to a user.
In some alternative embodiments, the fitness test module further comprises: the link information generating unit is used for displaying the link information which can request to connect the server to the user; and the connection unit is used for receiving the connection request carrying the user registration information and connecting the connection request with the user side.
In some alternative embodiments, the beverage recommendation module comprises: the question score determining unit is used for determining the score of each question according to the feedback information of the user; the grouping unit is used for grouping the problems in the user physique self-lookup table; and each group of conversion score determining unit is used for determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
In some alternative embodiments, the beverage recommendation module comprises: the beverage classification unit is used for classifying the beverage into a first type of relatively flat beverage and other multiple conditioning type beverages with different conditioning functions; the threshold setting unit is used for setting a first recommended threshold of the first type of beverage and setting the upper limit and the lower limit of the recommended threshold of each conditioning type of beverage; and the beverage type determining unit is used for determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit of the conditioning type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, otherwise, determining the first type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold value of the first type beverage.
In some optional embodiments, the beverage type determination unit further comprises a secondary beverage determination sub-unit for determining a sub-optimal recommended beverage after determining the optimal recommended beverage, the sub-optimal recommended beverage comprising: a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
The user beverage recommendation method of the present application is suitably implemented by a computer, which is embodied in a computer readable storage medium as a computer program, the computer comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor executing the computer program for implementing the user beverage recommendation method. The computer of the application is preferably a server, and according to the method, the two-dimensional code produced by the method can be transmitted to a terminal in real time, or printed on a drink bottle, or stored and converted in the terminal, wherein the terminal is a mobile terminal such as a mobile phone, an ipad and the like, and can also be a drink machine terminal device fixed at an airport, a train station and the like.
In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules or units described in the embodiments of the present application may be implemented by software or hardware. The modules or units described may also be provided in a processor, the names of which in some cases do not constitute a limitation of the module or unit itself.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for user beverage recommendation, comprising:
responding to a beverage recommendation request of a user, and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitutions;
collecting feedback information of a user;
calculating the constitution score of the user according to the score corresponding to each option of each question, and determining the recommended beverage of the corresponding type according to the constitution score; and
pushing the recommended beverage to a user.
2. The user beverage recommendation method of claim 1, wherein said responding to the user's beverage recommendation request is preceded by:
displaying link information capable of requesting to connect a server to a user; and
and receiving a connection request carrying user registration information, and connecting with the user side.
3. The method of claim 1, wherein the calculating the fitness score of the user according to the score corresponding to each option of each question comprises:
determining the score of each question according to the feedback information of the user;
grouping the questions in the user physique self-lookup table; and
and determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
4. The user beverage recommendation method of claim 3, wherein determining the respective type of recommended beverage based on the fitness score comprises:
dividing said beverage into a first type of beverage that is relatively mild and a plurality of other conditioning types of beverages having different conditioning functions;
setting a first recommended threshold value of the first type of beverage, and setting upper and lower recommended threshold values of each conditioning type of beverage; and
and if the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit as the optimal recommended beverage, otherwise, if the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold of the first type beverage, determining the first type beverage as the optimal recommended beverage.
5. The user beverage recommendation method of claim 4, wherein, after determining the optimal recommended beverage, further comprising determining a sub-optimal recommended beverage, the sub-optimal recommended beverage comprising:
a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
6. A user beverage recommendation device, comprising:
the constitution test module is used for responding to a beverage recommendation request of a user and sending a user constitution self-checking table to the user, wherein the user constitution self-checking table comprises a plurality of problems related to constitution;
the test result collection module is used for collecting feedback information of the user;
the beverage recommending module is used for calculating the constitution scores of the users according to the scores corresponding to the options of each question and determining recommended beverages of corresponding types according to the constitution scores; and
and the pushing module is used for pushing the recommended type of beverage to a user.
7. The user beverage recommendation device of claim 6, wherein the fitness test module further comprises:
the link information generating unit is used for displaying the link information which can request to connect the server to the user; and
and the connection unit is used for receiving the connection request carrying the user registration information and connecting the connection request with the user side.
8. The user beverage recommendation device of claim 6, wherein the beverage recommendation module comprises:
the question score determining unit is used for determining the score of each question according to the feedback information of the user;
the grouping unit is used for grouping the problems in the user physique self-lookup table; and
and each group of conversion score determining unit is used for determining the conversion score of the group according to the ratio of the total score in the group and the number of the problems in the group.
9. The user beverage recommendation device of claim 8, wherein the beverage recommendation module comprises:
the beverage classification unit is used for classifying the beverage into a first type of relatively flat beverage and other multiple conditioning type beverages with different conditioning functions;
the threshold setting unit is used for setting a first recommended threshold of the first type of beverage and setting the upper limit and the lower limit of the recommended threshold of each conditioning type of beverage; and
and the beverage type determining unit is used for determining the conditioning type beverage with the conversion score larger than the upper recommended threshold limit of the conditioning type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the conditioning type beverage is larger than the upper recommended threshold limit of the conditioning type beverage, and otherwise, determining the first type beverage as the optimal recommended beverage when the conversion score of the problem group matched with the first type beverage is larger than or equal to the first recommended threshold value of the first type beverage.
10. The user beverage recommendation device of claim 9, wherein the beverage type determination unit further comprises a secondary beverage determination subunit for determining a sub-optimal recommended beverage after determining an optimal recommended beverage, the sub-optimal recommended beverage comprising:
a conditioning type beverage having a conversion score for the set of questions that matches the conditioning type beverage that lies between the upper and lower recommended threshold limits for the respective conditioning type beverage.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105511277A (en) * | 2015-12-01 | 2016-04-20 | 小米科技有限责任公司 | Method and device for recommending drink |
| KR20180114612A (en) * | 2017-04-11 | 2018-10-19 | (주)디자인엑스투 | individual custimixed recommanded beverage supply system and method |
| CN109346175A (en) * | 2018-12-10 | 2019-02-15 | 广东省中医院 | A kind of Chinese medicine health status multidimensional identification system |
| CN109903836A (en) * | 2019-03-31 | 2019-06-18 | 山西慧虎健康科技有限公司 | A kind of diet intelligent recommendation and matching system and method based on constitution and big data |
| CN109961330A (en) * | 2017-12-14 | 2019-07-02 | 深圳卓和云投资控股有限公司 | A kind of beverage recommended method and intelligent beverage drinker |
-
2019
- 2019-10-29 CN CN201911035264.XA patent/CN110910986A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105511277A (en) * | 2015-12-01 | 2016-04-20 | 小米科技有限责任公司 | Method and device for recommending drink |
| KR20180114612A (en) * | 2017-04-11 | 2018-10-19 | (주)디자인엑스투 | individual custimixed recommanded beverage supply system and method |
| CN109961330A (en) * | 2017-12-14 | 2019-07-02 | 深圳卓和云投资控股有限公司 | A kind of beverage recommended method and intelligent beverage drinker |
| CN109346175A (en) * | 2018-12-10 | 2019-02-15 | 广东省中医院 | A kind of Chinese medicine health status multidimensional identification system |
| CN109903836A (en) * | 2019-03-31 | 2019-06-18 | 山西慧虎健康科技有限公司 | A kind of diet intelligent recommendation and matching system and method based on constitution and big data |
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