CN108648039A - A kind of beddo intelligence experience recommendation method and its application system - Google Patents
A kind of beddo intelligence experience recommendation method and its application system Download PDFInfo
- Publication number
- CN108648039A CN108648039A CN201810362113.4A CN201810362113A CN108648039A CN 108648039 A CN108648039 A CN 108648039A CN 201810362113 A CN201810362113 A CN 201810362113A CN 108648039 A CN108648039 A CN 108648039A
- Authority
- CN
- China
- Prior art keywords
- sample
- user
- data
- experience
- product
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- General Business, Economics & Management (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of beddo, intelligently method and its application system is recommended in experience, pass through collecting sample information, establish sample combination, establish sample database, experience data analysis and the sample matches of user, recommend this process of the most suitable product of the user to experience user according to analysis result is compared, improve Product Experience effect when user chooses beddo product, user data can be accurately acquired according to user experience simultaneously, and is that user recommends the bedding for suitably contributing to user to sleep by data.
Description
Technical field
The present invention relates to smart home and sleep health approach fields, specifically, being that a kind of intelligent experience of beddo pushes away
Recommend method and its application system.
Background technology
The all one's life of people has the time of one third to be spent in sleep, and the quality of sleep and the psychology and body of people are strong
Health is closely bound up.Sleep quality not only by people itself psychology and physiological status influenced, while with sleep environment and sleep
Product is also closely bound up, therefore bedroom articles especially bedding is selected also to be particularly important.
Currently, most users Main Basiss product introduction, product quality etc. when choosing bedding are selected,
The recommendation from other buyers or the comment to product are more referred to during selection, then different user year
The basic physiologicals feature such as age, gender, weight has differences, even age-grade stratum, identical gender or even build are similar
User, respective fitness are also multifarious, and body indices are also not quite similar, therefore select bedding special
When being that selection mattress pillow etc. directly affects the product of sleep quality, itself actual body situation and sleep should be more combined
Custom selects suitable product.
In conclusion the pressure sensitive data of bed body when using the product by the user to user's whole body how are accurately obtained, how
It is the bedding that user accurately recommends a suitable user's sign by the data monitored when user experience product,
These all will be health-oriented products research field technical problem urgently to be resolved hurrily of sleeping.
Invention content
The purpose of the present invention is being directed to deficiency in the prior art, provide a kind of beddo intelligently experience recommendation method and its
Application system can improve Product Experience effect when user chooses beddo product, while can be accurate according to user experience
User data is acquired, and is that user recommends the bedding for suitably contributing to user to sleep by data.
To achieve the above object, the technical solution adopted by the present invention is that：A kind of beddo intelligence experience recommendation method, packet
It includes：
Collecting sample information, the sample information include the N groups essential information of N number of sample of users, each user in M kinds
M group pressure testing datas under to-be-experienced product；
Sample combination is established, the M group pressure testing datas of same sample of users are ranked up, selects optimal data combination
Corresponding to-be-experienced product, which is the product for being most suitable for the sample of users, by the essential information of the sample of users
One sample of composition is associated with the product to combine；
Sample database is established, by N groups essential information, N × M groups pressure testing data and the N of above-mentioned N number of sample of users
A sample combination, builds up a complete sample database；
Data analysis and the sample matches for experiencing user, the user for buying product carry out Product Experience, and record obtains experience
The essential information and pressure testing data of user, this group of data and the data in sample database are compared；
Products Show recommends the product of the most suitable user according to above-mentioned comparison analysis result to experience user.
Further, one group of essential information includes：Participate in gender, age, height and the weight of experience test user
Information, one group of pressure testing data include the pressure value that user's whole body different parts generate bed body.
It is further, described that establish sample combination include in the M group pressure testing datas for select same sample of users in group
One group of statistical average minimum is combined as optimal data, and optimal data combination corresponding to-be-experienced product and sample are used
Incidence relation is established between family.
Further, the sample database of establishing includes：The sample of the sample of users is established as unit of sample of users
Data packet, data packet include the one group of essential information, M groups pressure testing data and a sample combination of the sample of users.
Further, during carrying out data analysis and the sample matches of experience user, one group of base of user will be experienced
This information and one group of pressure testing data, respectively in N number of sample data packet essential information and pressure testing data carry out it is more
Dimension compares analysis one by one, obtains the highest sample data packet of each data dimension whole matching degree.
Further, when carrying out Products Show to user, product included in the highest data packet of matching degree is selected.
Further, in M groups pressure testing data, each group of pressure testing data includes at least 3 body parts to bed
The pressure value that body generates.
The present invention also provides a kind of beddo, intelligently application system is recommended in experience, the system comprises：
Information acquisition unit, for recording user basic information；
Pressure test unit, the pressure that bed body is generated for testing and acquiring whole body different parts during user experience
Distributed data；
Beddo experience mode control unit allows pressure test module to acquire for converting different experience modes
To accurate complete data information；
Sample database, N groups essential information, N × M group pressure testing datas for building and storing N number of sample of users
It is combined with N number of sample；
User's sample matches unit is experienced, data analysis and sample are carried out with sample database for user will to be experienced
Match；
Most suitable product introduction is recommended user by Products Show unit according to sample matches result.
Further, the sample database is made of at least one sample data packet, and each sample data packet includes
One group of essential information, M groups pressure testing data and a sample combination for one sample of users.
Further, the Products Show unit includes human-computer interaction interface, for user show product introduction, for
Family provides and chooses menu.
The invention has the advantages that：
The present invention establishes sample data by acquisition product sample user and the Product Experience test data of sample of users
Library allows user especially to enjoy high-end user test experience when choosing mattress choosing bedding, while can be with
It is that client accurately recommends the bedding such as the mattress, the pillow that are suitble to user according to custom test data, is conducive to improve user
Sleep health status improves sleep comfort level.
Description of the drawings
Purpose, feature and advantage of the present invention are understood for that can become apparent from, below with reference to attached drawing to the preferable reality of the present invention
Example is applied to be described in detail, wherein：
Fig. 1 is that the beddo of one embodiment of the invention intelligently experiences the flow diagram of recommendation method；
Fig. 2 is that the beddo of one embodiment of the invention intelligently experiences commending system structural schematic diagram.
Specific implementation mode
Below in conjunction with the attached drawing in embodiment, technical solutions in the embodiments of the present application is clearly and completely retouched
It states, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments, is based on the application
In embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, belongs to the protection domain of the application.
Embodiments herein solves mesh by providing a kind of beddo intelligence experience recommendation method and its application system
The problem of preceding beddo product chooses field, and user can not accurately select bedding for itself sign situation, realize with
User's sign data is the intelligent bedding experience of foundation and recommends, and optimizes experience sense when user's shopping goods, reduces and use
Family selects the difficulty of proper product, improves the precision that orientating products are recommended.
In order to solve the above technical problems, the beddo of the application intelligently experiences recommendation method, it is main real to it in conjunction with attached drawing 1
The process of applying is summarized as follows：
The first step：Collecting sample information, the sample information include the N groups essential information of N number of sample of users, each user
M group pressure testing datas under M kind to-be-experienced product.The information of the sample of users of acquisition includes the gender of sample of users, year
Age, height, weight etc. can reflect the essential information of client's sign new data.To-be-experienced product includes the mattress of different size, pillow
The articles for use of first-class influence user sleep state.Such as hardness standard difference, the structure design difference etc. of pillow of mattress,
Established standards as to-be-experienced product.
Second step：Sample combination is established, the M group pressure testing datas of same sample of users are ranked up, is selected optimal
The corresponding to-be-experienced product of data combination, which is the product for being most suitable for the sample of users, by the sample of users
Essential information is associated with one sample of composition with the product and combines.It should be noted that being included at least in one group of pressure testing data
Three Stress testing loss, for example, the head of user, waist, leg or more include the body such as neck, back, buttocks
Position to bed body generate Stress testing loss, when carrying out M group data sortings, actually to the average value of each group of data into
Row sequence, selects one group of data of average pressure minimum to be combined for optimal data.Average value mentioned here can be that arithmetic is flat
The one of which such as mean value, geometrical mean, mean square, harmonic-mean or weighted average, select according to actual conditions
A kind of best average value of recommendation effect.
Third walks：Sample database is established, is surveyed in N groups essential information, the N × M group pressure for collecting N number of sample of users
After trying data and the combination of N number of sample, a complete sample database is built up.Sample database includes with sample of users
For the sample data packet of unit, each sample data packet includes one group of essential information of the sample of users, the survey of M group pressure
Try data and a sample combination.
4th step：Data analysis and the sample matches for experiencing user, the user for buying product carry out Product Experience, and record obtains
The essential information and pressure testing data for taking experience user, will experience the one group of essential information and one group of pressure test number of user
According to, respectively in N number of sample data packet essential information and pressure testing data carry out various dimensions compare analysis one by one, obtain
Each highest sample data packet of data dimension whole matching degree.
5th step：Products Show, according to above-mentioned comparison analysis result, by what is recorded in the highest sample data packet of matching degree
Product information recommends experience user.
Correspondingly this application provides a kind of beddo, intelligently application system is recommended in experience, with reference to attached drawing 2, the group of the system
At including：
Information acquisition unit, for recording user basic information.
Pressure test unit, the pressure that bed body is generated for testing and acquiring whole body different parts during user experience
Distributed data.
Beddo experience mode control unit allows pressure test unit to acquire for converting different experience modes
To accurate complete data information.
Sample database, N groups essential information, N × M group pressure testing datas for building and storing N number of sample of users
It is combined with N number of sample, sample database is made of at least one sample data packet using sample of users as unit, each sample
Data packet includes the one group of essential information, M groups pressure testing data and a sample combination of a sample of users.
User's sample matches unit is experienced, data analysis and sample are carried out with sample database for user will to be experienced
Match.
Most suitable product introduction is recommended user by Products Show unit according to sample matches result.Products Show list
Member includes human-computer interaction interface, for showing product introduction to user, provides to the user and chooses menu.
With reference to foregoing description and attached drawing, with N number of sample of users, it is discussed in detail the application's for M to-be-experienced product
Technical solution.
N number of sample of users is selected according to age stratum, gender, height and weight, while according to to-be-experienced product such as mattress
Hardness standard, pillow the established standards such as structure design, the M mattresses of kind different product specification are provided.Pass through information collection list
Member records the essential information of each sample of users, is collected into the N group essential informations of N number of sample of users, in each group of essential information
The essential information of client's sign new data can be reflected by including gender, age, height, the weight etc. of sample of users.N use
Family carries out the test of M kind to-be-experienced product respectively, when carrying out the test of each to-be-experienced product, beddo experience mode control unit
Control beddo converts different experience modes, changes the use state of beddo so that pressure test unit can be accurately
The pressure value that one group of each position of sample of users whole body generates bed body is acquired, and being averaged for this group of data is calculated
Value.Similar above-mentioned test process, is always obtained N × M group pressure testing datas.N number of sample that information acquisition unit is collected into is used
N × M groups pressure testing data, the M group average pressure values that the N groups essential information at family and pressure test unit testing obtain are complete
Portion is stored in sample database.
In sample database, the M group average pressure value sequentials of same sample of users select M groups for sample of users n
Minimum numerical value in average pressure value, the to-be-experienced product corresponding to the numerical value are the product for being most suitable for sample of users n, will
The essential information of sample of users n is associated one sample of composition with all information of the product and combines n.Sample database
In all data by the sample data packet classification storage management as unit of sample of users, each sample data packet n is deposited
One group of essential information n, the M group pressure testing data nm and a sample for storing up a sample of users n combine n.
Before user's shopping goods, participates in beddo experience and obtain recommended products information.Specifically, experience user passes through letter
The personal essential information of collecting unit registration is ceased, and participates in experience test.Beddo experience mode control unit controls beddo and becomes
Different experience modes is changed, the use state of beddo is changed so that pressure test unit can accurately acquire experience and use
The pressure value that whole body each position in family generates bed body, and this group of pressure testing data is transmitted to sample database and is participated in
Comparing is analyzed.The pressure testing data for experiencing user is distributed by the pressure distribution data figure and pressure of a user
The form of the distribution of grades table of comparisons is shown.The one group of essential information and one group of pressure testing data for experiencing user simultaneously,
In sample database respectively in N number of sample data packet essential information and pressure testing data carry out various dimensions compare one by one
Analysis, obtains the highest sample data packet of each data dimension whole matching degree.
According to above-mentioned comparison analysis result, the product information recorded in the highest sample data packet of matching degree is recommended into donor
Test user.Product information can have by the form of data sharing in various different bands to be carried out in the equipment of human-computer interaction interface
Displaying, allows user further to fully understand product information, while human-computer interaction interface provides to the user and chooses menu, supplies
User submits the operations such as order.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
Member, under the premise of not departing from the method for the present invention, can also make several improvement and supplement, these are improved and supplement should also regard
For protection scope of the present invention.
Claims (10)
1. a kind of beddo intelligently experiences recommendation method, which is characterized in that the method includes：
Collecting sample information, the sample information include the N groups essential information of N number of sample of users, each user in the experience production of M kinds
M group pressure testing datas under product；
Sample combination is established, the M group pressure testing datas of same sample of users are ranked up, selects optimal data combination institute right
The to-be-experienced product answered, the to-be-experienced product are the product for being most suitable for the sample of users, by the essential information of the sample of users and are somebody's turn to do
Product association constitutes a sample combination；
Sample database is established, by N groups essential information, N × M groups pressure testing data and the N number of sample of above-mentioned N number of sample of users
Combination, builds up a complete sample database；
Data analysis and the sample matches for experiencing user, the user for buying product carry out Product Experience, and record obtains experience user
Essential information and pressure testing data, this group of data and the data in sample database are compared；
Products Show recommends the product of the most suitable user according to above-mentioned comparison analysis result to experience user.
2. a kind of beddo according to claim 1 intelligently experiences recommendation method, which is characterized in that described one group is believed substantially
Breath includes：Gender, age, height and the weight information of experience test user are participated in, one group of pressure testing data includes using
The pressure value that family whole body different parts generate bed body.
3. a kind of beddo according to claim 2 intelligently experiences recommendation method, which is characterized in that described to establish sample group
Conjunction includes one group of statistical average minimum in being organized in the M group pressure testing datas for select same sample of users as optimal data
Combination will establish incidence relation between optimal data combination corresponding to-be-experienced product and sample of users.
4. a kind of beddo according to claim 2 intelligently experiences recommendation method, which is characterized in that described to establish sample number
Include according to library：The sample data packet of the sample of users is established as unit of sample of users, data packet includes the sample of users
One group of essential information, M groups pressure testing data and a sample combination.
5. a kind of beddo according to claim 4 intelligently experiences recommendation method, which is characterized in that carrying out experience user
Data analysis and sample matches during, the one group of essential information and one group of pressure testing data of user will be experienced, respectively with N
Essential information and pressure testing data in a sample data packet carry out various dimensions and compare analysis one by one, and it is whole to obtain each data dimension
The highest sample data packet of body matching degree.
6. a kind of beddo according to claim 5 intelligently experiences recommendation method, which is characterized in that carry out product to user
When recommendation, product included in the highest data packet of matching degree is selected.
7. a kind of beddo according to claim 2 intelligently experiences recommendation method, which is characterized in that M group pressure test numbers
In, each group of pressure testing data includes at least the pressure value that 3 body parts generate bed body.
8. intelligently application system is recommended in experience to a kind of beddo, which is characterized in that the system comprises：
Information acquisition unit, for recording user basic information；
Pressure test unit is distributed the pressure that bed body generates for whole body different parts during testing and acquiring user experience
Data；
Beddo experience mode control unit allows pressure test unit to collect standard for converting different experience modes
True complete data information；
Sample database, for building and storing the N groups essential information of N number of sample of users, N × M groups pressure testing data and N number of
Sample combines；
User's sample matches unit is experienced, data analysis and sample matches are carried out with sample database for user will to be experienced；
Most suitable product introduction is recommended user by Products Show unit according to sample matches result.
9. intelligently application system is recommended in experience to a kind of beddo according to claim 8, which is characterized in that the sample number
It is made of at least one sample data packet according to library, each sample data packet includes one group of essential information, M of a sample of users
Group pressure testing data and a sample combination.
10. intelligently application system is recommended in experience to a kind of beddo according to claim 8, which is characterized in that the product
Recommendation unit includes human-computer interaction interface, for showing product introduction to user, provides to the user and chooses menu.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810362113.4A CN108648039A (en) | 2018-04-20 | 2018-04-20 | A kind of beddo intelligence experience recommendation method and its application system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810362113.4A CN108648039A (en) | 2018-04-20 | 2018-04-20 | A kind of beddo intelligence experience recommendation method and its application system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108648039A true CN108648039A (en) | 2018-10-12 |
Family
ID=63746911
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810362113.4A Pending CN108648039A (en) | 2018-04-20 | 2018-04-20 | A kind of beddo intelligence experience recommendation method and its application system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108648039A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109741089A (en) * | 2018-12-14 | 2019-05-10 | 麒盛科技股份有限公司 | A kind of beddo mattress experience recommended method and system |
| CN110070415A (en) * | 2019-04-02 | 2019-07-30 | 喜临门家具股份有限公司 | A kind of selecting bed system and select bed process based on cloud server |
| CN110084667A (en) * | 2019-04-02 | 2019-08-02 | 喜临门家具股份有限公司 | It is a kind of to select bed system based on what BMI data calculated and select bed process |
| CN110957019A (en) * | 2019-10-28 | 2020-04-03 | 麒盛科技股份有限公司 | Data processing method and device for intelligent mattress recommendation |
| CN114384817A (en) * | 2022-01-13 | 2022-04-22 | 慕思健康睡眠股份有限公司 | Intelligent household equipment control system |
| CN116703532A (en) * | 2023-08-04 | 2023-09-05 | 湖南星港家居发展有限公司 | Mattress recommendation method and system based on user personalized data analysis |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007053150A1 (en) * | 2005-11-07 | 2007-05-10 | Kingsdown, Incorporated | Automatic mattress selection system |
| CN101379493A (en) * | 2006-02-06 | 2009-03-04 | 索尼株式会社 | Information recommendation system based on biometric information |
| CN104636950A (en) * | 2013-11-07 | 2015-05-20 | 财团法人资讯工业策进会 | Group object commodity recommendation system and method |
| CN105808922A (en) * | 2008-02-14 | 2016-07-27 | 金斯道恩公司 | Apparatuses and methods for evaluating a person for a mattess |
| US9659322B2 (en) * | 2010-07-30 | 2017-05-23 | Xsensor Technology Corporation | Graphical display for recommending sleep comfort and support systems |
| KR20170057765A (en) * | 2015-11-17 | 2017-05-25 | 주식회사 백합상사 | Recommendation system for pillow |
| CN107028592A (en) * | 2017-03-10 | 2017-08-11 | 贾晓静 | A kind of sleep pressure imaging test system |
| CN107123035A (en) * | 2017-05-10 | 2017-09-01 | 韦伦运动用品（上海）有限公司 | A kind of system that running shoes are selected for runner |
-
2018
- 2018-04-20 CN CN201810362113.4A patent/CN108648039A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007053150A1 (en) * | 2005-11-07 | 2007-05-10 | Kingsdown, Incorporated | Automatic mattress selection system |
| CN101379493A (en) * | 2006-02-06 | 2009-03-04 | 索尼株式会社 | Information recommendation system based on biometric information |
| CN105808922A (en) * | 2008-02-14 | 2016-07-27 | 金斯道恩公司 | Apparatuses and methods for evaluating a person for a mattess |
| US9659322B2 (en) * | 2010-07-30 | 2017-05-23 | Xsensor Technology Corporation | Graphical display for recommending sleep comfort and support systems |
| CN104636950A (en) * | 2013-11-07 | 2015-05-20 | 财团法人资讯工业策进会 | Group object commodity recommendation system and method |
| KR20170057765A (en) * | 2015-11-17 | 2017-05-25 | 주식회사 백합상사 | Recommendation system for pillow |
| CN107028592A (en) * | 2017-03-10 | 2017-08-11 | 贾晓静 | A kind of sleep pressure imaging test system |
| CN107123035A (en) * | 2017-05-10 | 2017-09-01 | 韦伦运动用品（上海）有限公司 | A kind of system that running shoes are selected for runner |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109741089A (en) * | 2018-12-14 | 2019-05-10 | 麒盛科技股份有限公司 | A kind of beddo mattress experience recommended method and system |
| CN110070415A (en) * | 2019-04-02 | 2019-07-30 | 喜临门家具股份有限公司 | A kind of selecting bed system and select bed process based on cloud server |
| CN110084667A (en) * | 2019-04-02 | 2019-08-02 | 喜临门家具股份有限公司 | It is a kind of to select bed system based on what BMI data calculated and select bed process |
| CN110084667B (en) * | 2019-04-02 | 2022-04-26 | 喜临门家具股份有限公司 | Bed selection system and bed selection method based on BMI data calculation |
| CN110070415B (en) * | 2019-04-02 | 2022-04-26 | 喜临门家具股份有限公司 | Bed selection system and bed selection method based on cloud server |
| CN110957019A (en) * | 2019-10-28 | 2020-04-03 | 麒盛科技股份有限公司 | Data processing method and device for intelligent mattress recommendation |
| CN114384817A (en) * | 2022-01-13 | 2022-04-22 | 慕思健康睡眠股份有限公司 | Intelligent household equipment control system |
| CN116703532A (en) * | 2023-08-04 | 2023-09-05 | 湖南星港家居发展有限公司 | Mattress recommendation method and system based on user personalized data analysis |
| CN116703532B (en) * | 2023-08-04 | 2023-10-27 | 湖南星港家居发展有限公司 | Mattress recommendation method and system based on user personalized data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108648039A (en) | A kind of beddo intelligence experience recommendation method and its application system | |
| Singh | Understanding the structure of consumers’ satisfaction evaluations of service delivery | |
| Smith et al. | Distinct value signals in anterior and posterior ventromedial prefrontal cortex | |
| Radzius et al. | A factor analysis of the Fagerström Test for Nicotine Dependence (FTND) | |
| Filevich et al. | Metacognitive mechanisms underlying lucid dreaming | |
| JP3854225B2 (en) | Automatic mattress selection system | |
| CN103906467B (en) | Sleep evaluation device and sleep evaluation method | |
| Groen et al. | From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category | |
| Childress et al. | A comparison of alternative direct and discrepancy approaches to measuring quality of performance at a festival | |
| Taft | Color meaning and context: Comparisons of semantic ratings of colors on samples and objects | |
| US6099319A (en) | Neuroimaging as a marketing tool | |
| Hagenaars et al. | Patterns of poverty in Europe | |
| CN110084667A (en) | It is a kind of to select bed system based on what BMI data calculated and select bed process | |
| CN106709122A (en) | Underwear designing system and underwear designing method | |
| CN107799180A (en) | Mental Capital training for promotion method and system based on cognitive-behavioral therapy | |
| Ahluwalia et al. | Pathway to health: Cluster-randomized trail to increase fruit and vegetable consumption among smokers in public housing. | |
| CN113076347B (en) | Emotion-based push program screening system and method on mobile terminal | |
| CN107657480A (en) | Based on the system for selling the progress information gathering of equipment user's information and/or push | |
| Gal | USING AUDITOR KNOWLEDGE TO FORMULATE DATA MODEL CONSTRAINTS: AN EXPERT SYSTEM FOR INTERNAL CONTROL EVALUATION. | |
| Jestratijevic et al. | A body to die for: Body measurements and BMI values among female and male runway models | |
| Walker et al. | Fitness Center Service Quality Model Confirmation SQAS-19. | |
| CN109543658A (en) | Intelligence hearing householder method and device | |
| CN110070415A (en) | A kind of selecting bed system and select bed process based on cloud server | |
| Darton et al. | The cost of residential care for the elderly: the effects of dependency, design and social environment | |
| CN107194727A (en) | The user's request factor based on Kano model is characterized and extracting method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181012 |