CN110263261A - A kind of friend recommendation method and apparatus based on potting cultivation behavior - Google Patents

A kind of friend recommendation method and apparatus based on potting cultivation behavior Download PDF

Info

Publication number
CN110263261A
CN110263261A CN201910517693.4A CN201910517693A CN110263261A CN 110263261 A CN110263261 A CN 110263261A CN 201910517693 A CN201910517693 A CN 201910517693A CN 110263261 A CN110263261 A CN 110263261A
Authority
CN
China
Prior art keywords
user
potting
frequency
plant
behavior
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
Application number
CN201910517693.4A
Other languages
Chinese (zh)
Inventor
沈之锐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shaoguan Qizhi Information Technology Co Ltd
Original Assignee
Shaoguan Qizhi Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shaoguan Qizhi Information Technology Co Ltd filed Critical Shaoguan Qizhi Information Technology Co Ltd
Priority to CN201910517693.4A priority Critical patent/CN110263261A/en
Publication of CN110263261A publication Critical patent/CN110263261A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9536Search customisation based on social or collaborative filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Breeding Of Plants And Reproduction By Means Of Culturing (AREA)

Abstract

The present invention provides a kind of friend recommendation method and apparatus based on potting cultivation behavior.The potting has humidity sensor, can monitor user's watering frequency;The potted plant for monitoring user conserves behavior, obtains maintenance frequency;Kind and size identification are carried out to the flowers and plants plant in potting, obtain the favorite plant variety of user and size;According to plant variety and size that the watering frequency, maintenance frequency and user like, the feature of three is clustered, and obtains user's cluster;To the user being aggregated in the same classification, friend recommendation from each other is carried out;Or according to one such feature, carry out friend recommendation;And can identify the florescence of plant in potting, it is in the user of pollination period to potting, recommends meet under line to make friends, flower is assisted to pollinate.The behavior that the present invention can cultivate potting records and frequency analysis, in conjunction with Multiple factors, recommends that there is the identical user for liking identical behavioural habits to recognize mutually, makes friends with as good friend.And it is based on the plant florescence, provides reason of making friends under good line.Recommend precision high, effect is good.

Description

A kind of friend recommendation method and apparatus based on potting cultivation behavior
Technical field
The present invention relates to computer application technology more particularly to a kind of friend recommendation sides based on potting cultivation behavior Method and device.
Background technique
With the development of pot culture technology, Intelligent potting is more and more prevailing, Intelligent potting can to the type of plant in potting, Nutrient, humidity, temperature, illumination etc. are monitored, and realize the more healthy cultivation of potted plant.
On the other hand, by the detection to factors such as kind, nutrient, humidity, temperature, illumination, it can also be seen that potting owner Degree of attentiveness and careful degree to potting.These cultivation behaviors, actually also embody the character trait of user.It can pass through Feature with similar treatment behavior obtains the people with close personality and close behavioural habits.Help that there is friend-making demand People obtains friendship.
Summary of the invention
The present invention provides a kind of friend recommendation method and apparatus based on potting cultivation behavior, are used for.
The present invention provides a kind of friend recommendation methods based on potting cultivation behavior, mainly comprise the steps that
The potting has humidity sensor, can monitor user's watering frequency;
The potted plant for monitoring user conserves behavior, obtains maintenance frequency;The potted plant for monitoring user conserves behavior, obtains and supports Protect frequency;The monitoring of the maintenance behavior refers to whether monitoring user by camera, there is plant dirt to clean, apply fertilizer, repair Beta pruning leaf pulls up weeds, the behavior of desinsection expelling parasite
Kind and size identification are carried out to the flowers and plants plant in potting, obtain the favorite plant variety of user and size;
According to the watering frequency or plant variety and size that frequency or user like are conserved, for any one feature, The user for being greater than preset threshold to characteristic similarity carries out mutual friend recommendation;
According to plant variety and size that the watering frequency, maintenance frequency and user like, the feature of three is combined, is carried out Cluster obtains user's cluster;
To the user being aggregated in the same classification, friend recommendation from each other is carried out;
The florescence for identifying plant in potting is in the user of pollination period to potting, recommends meet under line to make friends, assists flower It pollinates.
Still optionally further, in method as described above, the potting has humidity sensor, can monitor user Watering frequency, specifically includes that
According to the humidity change frequency of sensor, the watering frequency of user is obtained;
User's similarity is calculated according to the watering frequency, the user for being greater than preset threshold to similarity carries out friend recommendation.
Still optionally further, in method as described above, the potted plant of the monitoring user conserves behavior, obtains maintenance Frequency specifically includes that
The potting have camera, camera monitoring user have the cleaning of plant dirt, fertilising, trimming leaf, pull up weeds, When the behaviors such as desinsection expelling parasite, maintenance behavior is obtained, and count maintenance frequency;
According to the maintenance frequency, the user for being greater than preset threshold to similarity carries out friend recommendation.
Still optionally further, in method as described above, the flowers and plants plant in potting carries out kind and size is known Not, it specifically includes that
Plant photo is shot by camera to identify the flower in potting using deep learning algorithm by open source system, Classification, height and the size of flower are obtained, plant variety and size that user likes are obtained;
The plant variety and size liked according to the user, the user for being greater than preset threshold to similarity carry out friend recommendation.
Still optionally further, described to be liked according to the watering frequency, maintenance frequency and user in method as described above The feature of joyous plant variety and size, three combines, and is clustered, and obtains user's cluster, specifically includes that
Using birch clustering algorithm, the plant variety and size characteristic like watering frequency, maintenance frequency and user are carried out Cluster obtains user's cluster result;
Recommended user is mutually made friends.
Still optionally further, in method as described above, at the florescence of plant, be in pollination to potting in the identification potting The user of phase recommends meet under line to make friends, assists flower to pollinate, specifically include that
The camera that Intelligent potting has has the function of observing the florescence;
When observing the florescence to pollination stage, the same classification or the user with high similarity is reminded to carry out meeting pollination.
The invention discloses a kind of friend recommendation device based on potting cultivation behavior, described device includes:
Frequency monitoring and the recommending module of watering recommend have the artificial good of similar watering behavior for obtaining user's watering frequency Friend;
Potting maintenance monitoring and recommending module recommend have the artificial of similar maintenance behavior for obtaining the maintenance frequency of user Good friend;
Plants identification and recommending module, floristics, recommends the artificial good friend with similar plant hobby for identification;
Cluster module obtains more comprehensive user behavior characteristics, carries out for being clustered according to various user behaviors Friend recommends;
It pollinates under line recommending module, for according to florescence and pollination situation, recommended user make friends under line and pollinate for potting.
Technical solution provided in an embodiment of the present invention can include the following benefits:
The behavior that the present invention can cultivate potting records and frequency analysis, in conjunction with Multiple factors, recommends have identical support Grow hobby, the user of identical behavioural habits recognizes mutually, make friends with as good friend.And it is based on the plant florescence, provides good line Lower friend-making reason.Recommend precision high, effect is good.
Detailed description of the invention
Fig. 1 is the flow chart of the friend recommendation embodiment of the method for the invention that behavior is cultivated based on potting;
Fig. 2 is the structure chart of the friend recommendation Installation practice of the invention that behavior is cultivated based on potting.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, right in the following with reference to the drawings and specific embodiments The present invention is described in detail.
Fig. 1 is a kind of friend recommendation method flow diagram that behavior is cultivated based on potting of the invention.As shown in Figure 1, this reality A kind of friend recommendation method based on potting cultivation behavior of example is applied, can specifically include following steps:
Step 100, Intelligent potting detects humidity by humidity sensor, obtains user's watering frequency.
The Intelligent potting, is equipped with humidity sensor, can carry out real-time monitoring to the humidity in potting.When each time Humidity significantly increases, and is considered as user and is watered to potting.According to the humidity change frequency of sensor, available use The watering frequency at family.User with similar watering frequency, do things attitude and behavioural habits having the same are appropriate for correlation Friend recommendation.Preferably, similarity can be recommended to be greater than the other users of preset threshold, recommend phase to him to target user As good friend.
Step 101, potting camera identifies the movements such as the fertilising trimming expelling parasite of user.
Intelligent potting is generally fitted with camera, and camera can identify that user acts the related maintenance that potting is done.
It other than watering, generally further include that the cleaning of plant dirt, fertilising, trimming leaf, elimination are miscellaneous to the maintenance of potting Grass, desinsection expelling parasite etc..These movement, though more difficult monitoring, can all monitor user hand motion and scissors, fertilizer, Excavate, is spraying and other items.As long as camera identifies that user uses above-mentioned article in potting, then it is assumed that user carries out plant Primary maintenance.The maintenance frequency of user can be obtained by the monitoring of camera.
To the maintenance consistent user of frequency, friend recommendation is carried out, because maintenance behavior is a kind of more professional and careful Treatment behavior.There is such careful treatment to plant, illustrate that user has love, and is love Hua Renshi.Can will have similar The user of personality is recommended mutually.Preferably, similarity can be recommended to be greater than other use of preset threshold to target user Family is made friends to him.
Step 102, the category identification spent in Intelligent potting.By image recognition algorithm, the flower in potting is identified, Obtain colored classification and height and size.It can be calculated by open source software system such as tensorflow using deep learning Method identifies the flower in potting, obtains colored classification, height and size.Different user likes different flowers, likes different Colored human nature lattice would also vary from.The people for liking big cactus also has many differences, therefore with the people for liking small cactus Similarity calculation can be carried out to kind and size.
According to the research on psychology, such as like the people of plum blossom, personal characteristics: personality is more proud and more aloof.Like the people of peach blossom, Personal characteristics: disposition is gentle and kindhearted, and love is lively, fragile.Like people's personal characteristics of lotus: disposition is clean to putting well, open and aboveboard.Like The people of sweet osmanthus, personal characteristics: eyes show clever sense, stubborn with genius philosophy.
Although from Psychological Angle, or cannot have certain objectivity in this, as judgment basis.Another party Face, although different people can like really it is different, plant the people of same flower, have more exchange topics really, Therefore also it is more suitable for becoming friends.Moreover, hobby having the same, this important prerequisite inherently made friends.Therefore it identifies Colored type is recommended for making friends, and has scientific rationality.Preferably, similarity can be recommended to be greater than default to target user The other users of threshold value, make friends to him.
Step 103, behavior is looked after to three of the above, extracts similarity feature, fusion is got up, clustered, and recommends to use It makes friends at family.
When Intelligent potting has sold many, due to identical people or the happiness watered the frequency or conserve the frequency The people of joyous same flower, it is that feature is the same or difference very little that many people are still had after similarity calculation, is had same Others excessive problem of class.Therefore all features can be merged and carry out cluster calculation.Obtain more accurate similarity value.Its Middle similarity calculating method can be calculated using Euclidean distance.Clustering algorithm uses birch clustering algorithm, is not knowing When having the user of how many kinds of classification, cluster result can be also obtained.By what is condensed together, user in the same classification, mutually Mutually recommended.
Step 104, in florescence pollination period, recommend that there is male flower to meet with the user of female flower.
The camera that Intelligent potting has has the function of observing the florescence.When observing the florescence to pollination stage, remind same One classification or user with high similarity carry out meeting pollination.
Florescence i.e. whether be pollination period identification, pass through machine learning, training the pollination stage flower shape.And it identifies and awards The posture of the flower in powder stage.
When obtaining the florescence is pollinated stage, Intelligent potting sends information automatically, remind similitude be greater than preset threshold or Person is aggregated in the user in the same classification, carries out party pollination, and potting can preferably be born fruit.It is set to signify friendship Or the fruit of love.
This process can allow between the user with friend-making demand have more communication exchanges with meet chance.Friend-making is allowed to push away Meeting has fine reason under the line recommended.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.

Claims (7)

1. a kind of friend recommendation method based on potting cultivation behavior, which is characterized in that the described method includes:
The potting has humidity sensor, can monitor user's watering frequency;
The potted plant for monitoring user conserves behavior, obtains maintenance frequency;The monitoring of the maintenance behavior refers to, passes through camera Whether monitoring user has the cleaning of plant dirt, fertilising, trimming leaf, pulls up weeds, the behavior of desinsection expelling parasite;
Kind and size identification are carried out to the flowers and plants plant in potting, obtain the favorite plant variety of user and size;
According to the watering frequency or plant variety and size that frequency or user like are conserved, for any one feature, The user for being greater than preset threshold to characteristic similarity carries out mutual friend recommendation;
According to plant variety and size that the watering frequency, maintenance frequency and user like, the feature of three is combined, is carried out Cluster obtains user's cluster;
To the user being aggregated in the same classification, friend recommendation from each other is carried out;
The florescence for identifying plant in potting is in the user of pollination period to potting, recommends meet under line to make friends, assists flower It pollinates.
2. can monitor user according to the method described in claim 1, wherein, the potting has humidity sensor and pour Water frequency, specifically includes that
According to the humidity change frequency of sensor, the watering frequency of user is obtained;
User's similarity is calculated according to the watering frequency, the user for being greater than preset threshold to similarity carries out friend recommendation.
3. obtaining maintenance frequency according to the method described in claim 1, wherein, the potted plant of the monitoring user conserves behavior Rate specifically includes that
The potting have camera, camera monitoring user have the cleaning of plant dirt, fertilising, trimming leaf, pull up weeds, When the behaviors such as desinsection expelling parasite, maintenance behavior is obtained, and count maintenance frequency;
According to the maintenance frequency, the user for being greater than preset threshold to similarity carries out friend recommendation.
4. the flowers and plants plant in potting carries out kind and size identification according to the method described in claim 1, wherein, It specifically includes that
Plant photo is shot by camera to identify the flower in potting using deep learning algorithm by open source system, Classification, height and the size of flower are obtained, plant variety and size that user likes are obtained;
The plant variety and size liked according to the user, the user for being greater than preset threshold to similarity carry out friend recommendation.
It is described to be liked according to the watering frequency, maintenance frequency and user 5. according to the method described in claim 1, wherein The feature of plant variety and size, three combines, and is clustered, and obtains user's cluster, specifically includes that
Using birch clustering algorithm, the plant variety and size characteristic like watering frequency, maintenance frequency and user are carried out Cluster obtains user's cluster result;
Recommended user is mutually made friends.
6. according to the method described in claim 1, wherein, at the florescence of plant, be in pollination period to potting in the identification potting User, recommend carry out line under meet make friends, assist flower pollinate, specifically include that
The camera that Intelligent potting has has the function of observing the florescence;
When observing the florescence to pollination stage, the same classification or the user with high similarity is reminded to carry out meeting pollination.
7. the friend recommendation device based on potting cultivation behavior, which is characterized in that described device includes:
Frequency monitoring and the recommending module of watering recommend have the artificial good of similar watering behavior for obtaining user's watering frequency Friend;
Potting maintenance monitoring and recommending module recommend have the artificial of similar maintenance behavior for obtaining the maintenance frequency of user Good friend;
Plants identification and recommending module, floristics, recommends the artificial good friend with similar plant hobby for identification;
Cluster module obtains more comprehensive user behavior characteristics, carries out for being clustered according to various user behaviors Friend recommends;
It pollinates under line recommending module, for according to florescence and pollination situation, recommended user make friends under line and pollinate for potting.
CN201910517693.4A 2019-06-14 2019-06-14 A kind of friend recommendation method and apparatus based on potting cultivation behavior Pending CN110263261A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910517693.4A CN110263261A (en) 2019-06-14 2019-06-14 A kind of friend recommendation method and apparatus based on potting cultivation behavior

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910517693.4A CN110263261A (en) 2019-06-14 2019-06-14 A kind of friend recommendation method and apparatus based on potting cultivation behavior

Publications (1)

Publication Number Publication Date
CN110263261A true CN110263261A (en) 2019-09-20

Family

ID=67918385

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910517693.4A Pending CN110263261A (en) 2019-06-14 2019-06-14 A kind of friend recommendation method and apparatus based on potting cultivation behavior

Country Status (1)

Country Link
CN (1) CN110263261A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046204A (en) * 2019-12-16 2020-04-21 北京植得智能互联科技有限公司 Plant disease and insect pest recognition and control system
CN112163168A (en) * 2020-09-15 2021-01-01 济南雪景网络技术有限公司 Matching friend-making method based on computer vision
CN113326084A (en) * 2021-04-14 2021-08-31 沈宇鸿 Intelligent potting interaction system based on mobile phone App

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160140601A1 (en) * 2014-11-14 2016-05-19 Bank Of America Corporation Advertisement impressions of recommender for network diffusion
CN106407412A (en) * 2016-09-23 2017-02-15 英华达(上海)科技有限公司 A friend recommendation method
CN106570766A (en) * 2015-10-13 2017-04-19 上海中医药大学 Pollination object automatic matching method and system
CN107316251A (en) * 2017-05-15 2017-11-03 成都猎曲科技有限公司 Plant growth intelligent management and system based on digital gradient technology
CN107517751A (en) * 2017-08-28 2017-12-29 傅峰峰 A kind of Intelligent potting management system
CN109002490A (en) * 2018-06-26 2018-12-14 腾讯科技(深圳)有限公司 User's portrait generation method, device, server and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160140601A1 (en) * 2014-11-14 2016-05-19 Bank Of America Corporation Advertisement impressions of recommender for network diffusion
CN106570766A (en) * 2015-10-13 2017-04-19 上海中医药大学 Pollination object automatic matching method and system
CN106407412A (en) * 2016-09-23 2017-02-15 英华达(上海)科技有限公司 A friend recommendation method
CN107316251A (en) * 2017-05-15 2017-11-03 成都猎曲科技有限公司 Plant growth intelligent management and system based on digital gradient technology
CN107517751A (en) * 2017-08-28 2017-12-29 傅峰峰 A kind of Intelligent potting management system
CN109002490A (en) * 2018-06-26 2018-12-14 腾讯科技(深圳)有限公司 User's portrait generation method, device, server and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046204A (en) * 2019-12-16 2020-04-21 北京植得智能互联科技有限公司 Plant disease and insect pest recognition and control system
CN112163168A (en) * 2020-09-15 2021-01-01 济南雪景网络技术有限公司 Matching friend-making method based on computer vision
CN113326084A (en) * 2021-04-14 2021-08-31 沈宇鸿 Intelligent potting interaction system based on mobile phone App

Similar Documents

Publication Publication Date Title
CN110263261A (en) A kind of friend recommendation method and apparatus based on potting cultivation behavior
Scott et al. Exploring the health and wellbeing benefits of gardening for older adults
CN109643431A (en) Information processing unit and information processing system
CN106650228B (en) It improves the noise data minimizing technology of k-means algorithm and implements system
CN110099601A (en) Detection respiration parameter simultaneously provides the system and method for biofeedback
KR102127516B1 (en) Plant growing system providing growing recipe
Vargas-Ponce et al. In situ diversity and maintanenace of traditional Agave landraces used in spirits production in West-Central Mexico
Hitchings Expertise and inability: Cultured materials and the reason for some retreating lawns in London
Fernandez et al. Mild water stress makes apple buds more likely to flower and more responsive to artificial forcing—impacts of an unusually warm and dry summer in Germany
JP2023520743A (en) Method for artificial pollination and apparatus for doing so
CN107330806A (en) Interaction platform on a kind of line based on three-dimensional agriculture
CN109284666B (en) A kind of dress ornament recommended method based on image recognition and big data
Cao et al. Effects of bee density and hive distribution on pollination efficiency for greenhouse strawberries: A simulation study
WO2024114469A1 (en) Method and apparatus for assisting user in plant care
Badgery-Parker et al. Commercial Greenhouse Cucumber Production: 2010 Edition
KR20160145264A (en) Potted plants that express emotions
KR20180080033A (en) Smart Vegetation Cultivating Device And Smart Vegetation Cultivating System Comprising The Same
CN112001780B (en) Consumption device for fusing online virtual farm and offline entity farm
Suparni et al. The Semiotic Study: Decoding the Symbolic Meaning of the Nokeso Tradition in the Salena Environment
Kwon et al. Wearing conditions of outdoor jacket for senior men and research for actual product size of outdoor brands
Koli et al. Android Application Agriculture Decision Support System
Nazaruddin et al. A study of cultural dynamics among gayo coffee farmers, in Indonesia
KR102317729B1 (en) A smart glasses for a smart-farm system to cultivate mushrooms
CA3138800A1 (en) Cultivation assisting device and cultivation assisting method
KR101870639B1 (en) Custom colors Farming System

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: 20190920