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 PDFInfo
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- 238000004382 potting Methods 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 25
- 241000196324 Embryophyta Species 0.000 claims abstract description 54
- 238000012423 maintenance Methods 0.000 claims abstract description 32
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 230000010152 pollination Effects 0.000 claims abstract description 17
- 230000006399 behavior Effects 0.000 claims description 38
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 244000045947 parasite Species 0.000 claims description 6
- 238000009966 trimming Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 4
- 235000018185 Betula X alpestris Nutrition 0.000 claims description 3
- 235000018212 Betula X uliginosa Nutrition 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 230000003542 behavioural effect Effects 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 3
- 241000219357 Cactaceae Species 0.000 description 2
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- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 235000015097 nutrients Nutrition 0.000 description 2
- 244000144730 Amygdalus persica Species 0.000 description 1
- 244000025254 Cannabis sativa Species 0.000 description 1
- 206010021703 Indifference Diseases 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 244000242564 Osmanthus fragrans Species 0.000 description 1
- 235000019083 Osmanthus fragrans Nutrition 0.000 description 1
- 235000006040 Prunus persica var persica Nutrition 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004883 computer application Methods 0.000 description 1
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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
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.
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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 |
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