CN108009198A - Medicine method, system, electronic equipment and storage medium are recommended based on user behavior - Google Patents
Medicine method, system, electronic equipment and storage medium are recommended based on user behavior Download PDFInfo
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- CN108009198A CN108009198A CN201711020758.1A CN201711020758A CN108009198A CN 108009198 A CN108009198 A CN 108009198A CN 201711020758 A CN201711020758 A CN 201711020758A CN 108009198 A CN108009198 A CN 108009198A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention discloses medicine method is recommended based on user behavior, it comprises the following steps：Obtain the input text of user, extraction can summarize the key vocabularies that user searches for information, if key vocabularies and medical data storehouse matching, by key vocabularies it is qualitative be user tag, user tag is stored in user tag database；Obtain user and enter information, user tag is extracted from user tag database, according to the label vocabulary of user tag, travel through medical data base, obtain the medicine to be presented with label terminology match；Medicine to be presented is shown in medicine list.The invention also discloses be related to recommend medicine system, a kind of electronic equipment and a kind of computer-readable recording medium based on user behavior.The present invention can comprehensively show the required all medicines of user, so as to lift user experience, promote medicine sales volume by the search behavior of deep analysis user.
Description
Technical field
The present invention relates to a kind of medical system technical field, more particularly to based on user behavior recommend medicine method, system,
Electronic equipment and storage medium.
Background technology
Medicine refers to the disease for preventing, treating, diagnose people, and purposefully the physiological function of adjusting people and regulation have suitable
Answer the material of disease or major function, usage and dosage, including Chinese medicine, the prepared slices of Chinese crude drugs, Chinese patent drug, medicinal chemicals and its system
Agent, antibiotic, biochemical drug, radioactive drugs, serum, vaccine, blood product and diagnostic aid etc..Wherein, non-prescribed medicine is
Refer to for convenience of public's medication, on the premise of drug safety is ensured, after national health administrative department provides or authorizes, it is not necessary to
Doctor or other medical professionals, which open, writes the i.e. commercially available medicine of prescription, and general public is with self judgment, according to medicine label
And operation instruction can be used voluntarily.
User is bought when buying non-prescribed medicine by medicine purchase system, and at present, medicine purchase system can basis
User preferences or the behavioural habits of user recommend the indivedual things interested of user, for example user once bought or checked
The thing crossed, but this traditional way of recommendation does not analyse in depth the search behavior of user, and the thing recommended is excessively unilateral,
So that user experience is too low, can not also play the role of promoting medicine sales volume.
The content of the invention
For overcome the deficiencies in the prior art, it is an object of the present invention to provide to recommend medicine side based on user behavior
Method, by the search behavior of deep analysis user, can comprehensively show the required all medicines of user, so as to lift user
Experience, promotes medicine sales volume.
The second object of the present invention is to provide recommends medicine system based on user behavior, passes through deep analysis user's
Search behavior, can comprehensively show the required all medicines of user, so as to lift user experience, promote medicine sales volume.
The third object of the present invention is to provide a kind of electronic equipment, passes through the search behavior of deep analysis user, energy
The comprehensive displaying required all medicines of user, so as to lift user experience, promote medicine sales volume.
The fourth object of the present invention is to provide a kind of computer-readable recording medium, passes through searching for deep analysis user
Suo Hangwei, can comprehensively show the required all medicines of user, so as to lift user experience, promote medicine sales volume.
An object of the present invention adopts the following technical scheme that realization：
Medicine method is recommended based on user behavior, is comprised the following steps：
User tag database is built, obtains the input text of user, extraction can summarize the keyword that user searches for information
Converge, if key vocabularies and medical data storehouse matching, by key vocabularies it is qualitative be user tag, user tag is stored in user tag
Database；
User tag is analyzed, user is obtained and enters information, user tag is extracted from user tag database, is marked according to user
The label vocabulary of label, travels through medical data base, obtains the medicine to be presented with label terminology match；
Show medicine, medicine to be presented is shown in medicine list.
Further, step structure user tag database specifically includes following steps：
Medical data base is built, disease information, medicine information are directed into medical data base, creates user tag data
Storehouse；
Input text is obtained, obtains the input text of user；
Legal text is extracted, filtering inputs the illegitimate content in text, obtains legal text, and illegitimate content includes being prohibited
Appear in forbidden character in medical system, illegal symbol；
The sensitive vocabulary of identification, carries out input text sensitive vocabulary identification, if identifying sensitive vocabulary, exports sensitive word
Remittance prompt message；
User tag is stored in, legal text is analyzed, extracts the key vocabularies in legal text, if key vocabularies and medical number
According to storehouse matching, then by key vocabularies it is qualitative be user tag, user tag deposit user tag database.
Further, step deposit user tag specifically includes following steps：
Legal text is split, legal text is split into legal vocabulary；
Key vocabularies are extracted, key vocabularies are extracted from legal vocabulary；
Matching keywords converge, and whether analysis of key vocabulary matches medical data base；If matching, it is by key vocabularies are qualitative
User tag；
User tag database is stored in, user tag is stored in user tag database.
Further, step analysis user tag specifically includes following steps：
User tag is extracted, user is obtained and enters information, user tag, user tag bag are extracted from user tag database
Include label vocabulary；
User tag is classified, and builds label matrix, and label matrix carries out probability matrix calculating to label vocabulary, is obtained preferential
Value, the priority level of label vocabulary is determined according to preferred value；
Medicine is obtained, according to priority level, medical data base is traveled through successively, obtains the medicine to be presented with label terminology match
Product.
Further, step displaying medicine is specially：By having shown that on medicine to be presented and medicine list, medicine carries out
Compare, if same medicine, then do not show medicine to be presented, otherwise show medicine to be presented.
The second object of the present invention adopts the following technical scheme that realization：
Medicine system, including medical data base, user tag database, user tag generation mould are recommended based on user behavior
Block, medicine extraction module, medicine display module, user tag generation module are connected with user tag database, medicine extraction mould
Block is connected with medical data base, user tag database, and medicine display module is connected with medicine extraction module；
Medical data base includes disease database, drug data bank, and disease database is used to store disease information, medicine number
According to library storage medicine information；
User tag database, for storing user tag；
User tag generation module, for obtaining the input text of user, generates user tag；
Medicine extraction module, the medicine to be presented to be matched according to user tag, extraction with user tag
Medicine display module, for showing medicine to be presented.
Further, user tag generation module include obtain text module, search module, sensitive word identification module, point
Word module, extraction keyword module, matching module, obtains text module and is connected with search module, sensitive word identification module, searched for
Module is connected with word-dividing mode, and word-dividing mode is connected with extraction keyword module, and extraction keyword module is connected with matching module；
The input text that text module is used to obtain user is obtained, search module filters input text, closed
Method text, sensitive word identification module are used to identify sensitive vocabulary, and word-dividing mode is used to legal text splitting into legal vocabulary, carries
Keyword module is taken to be used to extract key vocabularies from legal vocabulary, whether matching module matches doctor for analysis of key vocabulary
Treat database.
Further, medicine extraction module includes extraction user tag module, proposed algorithm module, searches medicine module,
Extraction user tag module is connected with proposed algorithm module, and proposed algorithm module is connected with searching medicine module；
Extraction user tag mould is used to extract the user tag into access customer soon, and user tag includes label vocabulary, recommends
Algoritic module is used to determine the priority level of label substance, searches medicine module and is used to searching and associated with label substance waits to open up
Show medicine.
The third object of the present invention adopts the following technical scheme that realization：
A kind of electronic equipment, including：Processor；
Memory；And program, wherein described program is stored in the memory, and is configured to by processor
Perform, described program includes being used to perform above-mentioned based on user behavior recommendation medicine method.
The fourth object of the present invention adopts the following technical scheme that realization：
A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is held by processor
Row is above-mentioned to recommend medicine method based on user behavior.
Compared with prior art, the beneficial effects of the present invention are：
The present invention provides medicine method is recommended based on user behavior, further relate to based on user behavior recommend medicine system,
A kind of electronic equipment and a kind of computer-readable recording medium, are handled by the input text to user, generate user
Label, builds user tag database, when user enters medicine list, automatically extracts user tag, and in user tag
Label substance be classified, so as to show the high medicine of priority, i.e., the present invention passes through the search row of deep analysis user
For, it can comprehensively show the required all medicines of user, can be according to the needs of user by the priority processing to medicine
Degree is shown, so as to lift user experience, promotes medicine sales volume.
Brief description of the drawings
Fig. 1 is the flow diagram for recommending medicine method based on user behavior of the present invention；
Fig. 2 is the flow diagram of structure user tag database of the present invention；
Fig. 3 is the flow diagram of analysis user tag of the present invention；
Fig. 4 is the block schematic illustration for recommending medicine system based on user behavior of the present invention.
Embodiment
In the following, with reference to attached drawing and embodiment, the present invention is described further, it is necessary to which explanation is, not
Under the premise of afoul, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
As shown in Figure 1-Figure 3, medicine method is recommended based on user behavior, comprised the following steps：
User tag database is built, obtains the input text of user, extraction can summarize the keyword that user searches for information
Converge, if key vocabularies and medical data storehouse matching, by key vocabularies it is qualitative be user tag, user tag is stored in user tag
Database；
User tag is analyzed, user is obtained and enters information, user tag is extracted from user tag database, is marked according to user
The label vocabulary of label, travels through medical data base, obtains the medicine to be presented with label terminology match；
Show medicine, medicine to be presented is shown in medicine list.
In the present embodiment, as shown in Fig. 2, step structure user tag database specifically includes following steps：
Medical data base is built, disease information, medicine information are directed into medical data base, creates user tag data
Storehouse；
Input text is obtained, obtains the input text of user；
Legal text is extracted, filtering inputs the illegitimate content in text, obtains legal text, and illegitimate content includes being prohibited
Appear in forbidden character in medical system, illegal symbol；
The sensitive vocabulary of identification, carries out input text sensitive vocabulary identification, if identifying sensitive vocabulary, exports sensitive word
Remittance prompt message；
Legal text is split, legal text is split into legal vocabulary；
Key vocabularies are extracted, key vocabularies are extracted from legal vocabulary；
Matching keywords converge, and whether analysis of key vocabulary matches medical data base；If matching, it is by key vocabularies are qualitative
User tag；
User tag database is stored in, user tag is stored in user tag database.
As described above, disease information, medicine information are directed into medical data base, i.e. medical data base includes existing disease
Sick information and medicine information, when the key vocabularies for getting user, analysis of key vocabulary whether with disease information or medicine information
Match, if matching, by key vocabularies it is qualitative be user tag, and be stored in user tag database, in the process, key
Vocabulary becomes label vocabulary, becomes the label substance of user tag.
In the present embodiment, as shown in figure 3, step analysis user tag specifically includes following steps：
User tag is extracted, user is obtained and enters information, user tag, user tag bag are extracted from user tag database
Include label vocabulary；
User tag is classified, and builds label matrix, and label matrix carries out probability matrix calculating to label vocabulary, is obtained preferential
Value, the priority level of label vocabulary is determined according to preferred value；
Medicine is obtained, according to priority level, medical data base is traveled through successively, obtains the medicine to be presented with label terminology match
Product.
It is content-based recommendation algorithm to build label matrix, proposed algorithm is computer when determining priority level
A kind of algorithm in specialty, passes through some mathematical algorithms, thus it is speculated that goes out the thing that user may like, proposed algorithm is broadly divided into 6
Kind：Based on commending contents, collaborative filtering recommending, it is rule-based recommend, based on effectiveness recommend, knowledge based recommend and combination push away
Recommend, in the present embodiment, using combined recommendation algorithm, to avoid or make up weakness of first five kind proposed algorithm.
Wherein, on some standards in combined recommendation algorithm, including it is but not defined below：The search text of user's these last few days
The number that occurs the label vocabulary in this is how many, can be with the number of the label terminology match in the medicine of user's these last few days purchase
How much, user clicks on the web page contents checked can how many etc. with the number of the label terminology match, and on above-mentioned just " several
My god " can be three days, seven days, 30 days etc., can be weighted for different number of days, for example, three days weight most
Height, the weighted average of seven days, weight is minimum within 30 days.
That is the label vocabulary of priority level higher, the medicine to be presented matched, it is that user is liked to have more high probability
And required medicine, the probability that such medicine is bought by user are also higher.
As described above, learning that user enters medicine list, user tag is extracted, and determine the excellent of each label vocabulary
First rank, so as to from high to low, travel through medical data base successively, obtains the medicine to be presented with label terminology match；For aobvious
Show for medicine interface, show that the region of medicine is necessarily limited, the higher medicine of priority level is shown so that Yong Huneng
Oneself required medicine is found faster, while can also promote medicine sales volume.
In the present embodiment, step displaying medicine is specially：Medicine will be had shown that on medicine to be presented and medicine list
It is compared, if same medicine, does not then show medicine to be presented, otherwise show medicine to be presented.
In conclusion in order to make it easy to understand, the present invention provides a kind of example in practical application to illustrate, wherein wrapping
X user is included, input text is：" with regard to pain when dental articulation, ###, when being exchanged with a male, he feels it is tooth hair
It is scorching "；Its step is as follows：
Medical data base is built, disease information, medicine information are directed into medical data base, creates user tag data
Storehouse, the user's tag database include X user tags；
Input text is obtained, obtains the input text of X user：" with regard to pain, ###, and a male when dental articulation
During exchange, he feels it is dental inflammation "；
Extract legal text, the illegitimate content " ### " in filtering input text, obtain legal text " dental articulation when
Wait with regard to pain, when being exchanged with a male, he feels it is dental inflammation "；
The sensitive vocabulary of identification, carries out input text sensitive vocabulary identification, it is found that there are quick " when being exchanged with a male "
Feel vocabulary, export sensitive vocabulary prompt message, wherein X user is deleted, and the whole text that inputs is changed into：" dental articulation when
Wait with regard to pain, feel it is dental inflammation "；
Split legal text, legal text split into legal vocabulary, including " tooth ", " occlusion ", " ", " time ",
" just ", " pain ", " feeling ", "Yes", " inflammation "；
Key vocabularies are extracted, key vocabularies, including " tooth ", " occlusion ", " pain ", " hair are extracted from legal vocabulary
It is scorching "；
Matching keywords converge, and whether analysis of key vocabulary matches medical data base；Wherein, key vocabularies " tooth ", " sting
Close ", " pain ", " inflammation " match corresponding medicine, then by these key vocabularies it is qualitative be X user tags, i.e. X user's mark
The label vocabulary of label has：" tooth ", " occlusion ", " pain ", " inflammation "；
User tag database is stored in, X user tags are stored in user tag database.
After constructing including the user tag database of X user tags, the step of progress, is as follows：
User tag is extracted, X user is obtained and enters medicine list information, X user tags are extracted from user tag database,
X user tags include label vocabulary：" tooth ", " occlusion ", " pain ", " inflammation "；
User tag is classified, and builds label matrix, and label matrix carries out probability matrix calculating to label vocabulary, is obtained preferential
Value, the priority level of label vocabulary is determined according to preferred value, wherein, priority level is followed successively by from high in the end：" tooth ", " pain
Bitterly ", " occlusion ", " inflammation "；
Obtain medicine, according to priority level, travel through medical data base successively, obtain " tooth " matched medicine have A medicines,
B medicines, C medicines, A medicines matched with " pain ", C medicines, D medicines, A medicines matched with " occlusion ", E medicines and " hair
The matched A medicines of inflammation ", F medicines.
Show medicine, highest-ranking as priority " tooth ", the A medicines matched, B medicines, C medicines are successively from upper
To lower displaying, A medicines matched with " pain ", C medicines because and have shown that medicine is identical, so do not show, and so on, it is whole
A displaying list is followed successively by from top to bottom：A medicines, B medicines, C medicines, D medicines, E medicines, and F medicines are because the region of displaying
It is limited, so do not show.
Among above-mentioned practical application example, remitted for splitting vocabulary, extraction key vocabularies and matching word, it is above-mentioned
Vocabulary " tooth ", " occlusion ", " pain ", " inflammation " " dental articulation ", " dental pain ", " tooth can also be reassembled into
Inflammation ", the label vocabulary as X user tags.
After the recommendation method is applied, as soon as user enters medicine list, A medicines, B medicines, C medicines, D medicines can be appreciated that
The information of product, E medicines, user are bought after can checking the information of these medicines, first, removal search closes again without user
Suitable medicine, saves the time of user, so that user experience is improved, second, avoiding user does not find suitable medicine
Without being bought, so as to promote medicine sales volume.
Medicine system, including medical data base, user tag database, user tag generation mould are recommended based on user behavior
Block, medicine extraction module, medicine display module, user tag generation module are connected with user tag database, medicine extraction mould
Block is connected with medical data base, user tag database, and medicine display module is connected with medicine extraction module；Medical data base bag
Disease database, drug data bank are included, disease database is used to store disease information, drug data library storage medicine information；With
Family tag database is used to store user tag；User tag generation module is used for the input text for obtaining user, generates user
Label；The medicine to be presented that medicine extraction module matches according to user tag extraction with user tag；Medicine display module is used
In display medicine to be presented.
Wherein, user tag generation module includes obtaining text module, search module, sensitive word identification module, participle mould
Block, extraction keyword module, matching module, obtains text module and is connected with search module, sensitive word identification module, search module
It is connected with word-dividing mode, word-dividing mode is connected with extraction keyword module, and extraction keyword module is connected with matching module；Obtain
Text module is used for the input text for obtaining user, and search module filters input text, obtains legal text, sensitive word
Identification module is used to identify sensitive vocabulary, and word-dividing mode is used to legal text splitting into legal vocabulary, extracts keyword module
For extracting key vocabularies from legal vocabulary, whether matching module matches medical data base for analysis of key vocabulary.
Wherein, sensitive vocabulary is identified using DFA algorithms in sensitive word identification module.
Wherein, medicine extraction module includes extraction user tag module, proposed algorithm module, searches medicine module, extraction
User tag module is connected with proposed algorithm module, and proposed algorithm module is connected with searching medicine module；Extract user tag mould
Fast to be used to extract the user tag into access customer, user tag includes label vocabulary, and proposed algorithm module is used to determine in label
The priority level of appearance, searches medicine module and is used to search the to be presented medicine associated with label substance.
A kind of electronic equipment, including：Processor；Memory；And program, wherein described program are stored in the storage
In device, and it is configured to be performed by processor, described program includes being used to perform above-mentioned based on user behavior recommendation medicine
Method；A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is executed by processor
That states recommends medicine method based on user behavior.
The present invention provides medicine method is recommended based on user behavior, further relate to based on user behavior recommend medicine system,
A kind of electronic equipment and a kind of computer-readable recording medium, are handled by the input text to user, generate user
Label, builds user tag database, when user enters medicine list, automatically extracts user tag, and in user tag
Label substance be classified, so as to show the high medicine of priority, i.e., the present invention passes through the search row of deep analysis user
For, it can comprehensively show the required all medicines of user, can be according to the needs of user by the priority processing to medicine
Degree is shown, so as to lift user experience, promotes medicine sales volume.
The above embodiment is only the preferred embodiment of the present invention, it is impossible to the scope of protection of the invention is limited with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (10)
1. medicine method is recommended based on user behavior, it is characterised in that comprise the following steps：
User tag database is built, obtains the input text of user, extraction can summarize the key vocabularies that user searches for information, if
The key vocabularies and medical data storehouse matching, then by the key vocabularies it is qualitative be user tag, the user tag is stored in
User tag database；
User tag is analyzed, user is obtained and enters information, the user tag is extracted from the user tag database, according to institute
The label vocabulary of user tag is stated, medical data base is traveled through, obtains the medicine to be presented with the label terminology match；
Show medicine, the medicine to be presented is shown in medicine list.
2. medicine method is recommended based on user behavior as claimed in claim 1, it is characterised in that step structure user's mark
Label database specifically includes following steps：
Medical data base is built, disease information, medicine information are directed into medical data base, creates user tag database；
Input text is obtained, obtains the input text of user；
Legal text is extracted, the illegitimate content in the input text is filtered, obtains legal text, the illegitimate content includes quilt
Forbid appearing in forbidden character in medical system, illegal symbol；
The sensitive vocabulary of identification, carries out sensitive vocabulary identification to the input text, if identifying sensitive vocabulary, exports sensitive word
Remittance prompt message；
User tag is stored in, analyzes the legal text, the key vocabularies in the legal text are extracted, if the key vocabularies
With medical data storehouse matching, then by the key vocabularies it is qualitative be user tag, the user tag is stored in user tag data
Storehouse.
3. medicine method is recommended based on user behavior as claimed in claim 2, it is characterised in that step deposit user's mark
Label specifically include following steps：
Legal text is split, the legal text is split into legal vocabulary；
Key vocabularies are extracted, key vocabularies are extracted from the legal vocabulary；
Matching keywords converge, and analyze whether the key vocabularies match the medical data base；If matching, by the keyword
It is user tag to converge qualitative；
User tag database is stored in, the user tag is stored in the user tag database.
4. medicine method is recommended based on user behavior as claimed in claim 1, it is characterised in that step analysis user's mark
Label specifically include following steps：
User tag is extracted, user is obtained and enters information, the user tag, the use are extracted from the user tag database
Family label includes label vocabulary；
User tag is classified, and builds label matrix, and the label matrix carries out probability matrix calculating to the label vocabulary, obtains
Preferred value, the priority level of the label vocabulary is determined according to the preferred value；
Medicine is obtained, according to the priority level, travels through medical data base successively, obtains waiting to open up with the label terminology match
Show medicine.
5. medicine method is recommended based on user behavior as claimed in claim 1, it is characterised in that the step displaying medicine tool
Body is：By the medicine to be presented with medicine list have shown that medicine compared with, if same medicine, then do not show institute
Medicine to be presented is stated, otherwise shows the medicine to be presented.
6. medicine system is recommended based on user behavior, it is characterised in that：Including medical data base, user tag database, user
Tag generation module, medicine extraction module, medicine display module, the user tag generation module connect with user tag database
Connect, the medicine extraction module is connected with the medical data base, the user tag database, the medicine display module with
The medicine extraction module connection；
The medical data base includes disease database, drug data bank, and the disease database is used to store disease information, institute
State drug data library storage medicine information；
The user tag database, for storing user tag；
The user tag generation module, for obtaining the input text of user, generates user tag；
The medicine extraction module, the medicine to be presented to be matched according to the user tag, extraction with the user tag
The medicine display module, for showing the medicine to be presented.
7. medicine system is recommended based on user behavior as claimed in claim 6, it is characterised in that：The user tag generates mould
Block include obtain text module, search module, sensitive word identification module, word-dividing mode, extraction keyword module, matching module,
The acquisition text module is connected with described search module, the sensitive word identification module, described search module and the participle
Module connects, and the word-dividing mode is connected with the extraction keyword module, the extraction keyword module and the matching mould
Block connects；
The input text for obtaining text module and being used to obtain user, described search module carried out the input text
Filter, obtains legal text, and the sensitive word identification module is used to identify sensitive vocabulary, and the word-dividing mode is used for legal text
Legal vocabulary is split into, the extraction keyword module is used to extract key vocabularies, the matching module from legal vocabulary
For analyzing whether the key vocabularies match the medical data base.
8. medicine system is recommended based on user behavior as claimed in claim 6, it is characterised in that：The medicine extraction module bag
Include extraction user tag module, proposed algorithm module, search medicine module, the extraction user tag module and proposed algorithm mould
Block connects, and the proposed algorithm module is connected with searching medicine module；
The extraction user tag mould is used to extract the user tag into access customer soon, and the user tag includes label vocabulary,
The proposed algorithm module is used for the priority level for determining the label substance, and the lookup medicine module is used to search and label
The medicine to be presented that content is associated.
9. a kind of electronic equipment, it is characterised in that including：Processor；
Memory；And program, wherein described program is stored in the memory, and is configured to be held by processor
OK, described program includes being used for the method described in perform claim requirement 1-5 any one.
10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The computer program
It is executed by processor the method as described in claim 1-5 any one.
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| CN201711020758.1A CN108009198A (en) | 2017-10-26 | 2017-10-26 | Medicine method, system, electronic equipment and storage medium are recommended based on user behavior |
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| CN108899072A (en) * | 2018-05-31 | 2018-11-27 | 平安医疗科技有限公司 | Traditional Chinese medicinal prescription recommended method, device, computer equipment and storage medium |
| CN109064210A (en) * | 2018-06-29 | 2018-12-21 | 康美药业股份有限公司 | A kind of method that establishing user tag library, electronic equipment, storage medium and system |
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| CN109388642A (en) * | 2018-10-23 | 2019-02-26 | 北京计算机技术及应用研究所 | Sensitive data based on label tracks source tracing method |
| CN109448810A (en) * | 2018-08-24 | 2019-03-08 | 康美药业股份有限公司 | Checking prescription method for pushing, device, electronic equipment and storage medium |
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| CN110189810A (en) * | 2019-05-30 | 2019-08-30 | 苏州大学附属儿童医院 | A kind of intelligence pharmacy server |
| CN112328919A (en) * | 2019-07-31 | 2021-02-05 | 深圳百诺明医说科技有限公司 | Method and device for accurately pushing electronic medicine specification based on user characteristics |
| CN112328919B (en) * | 2019-07-31 | 2023-06-27 | 深圳百诺明医说科技有限公司 | Accurate pushing method and device for electronic medicine instruction book based on user characteristics |
| CN110738544A (en) * | 2019-08-29 | 2020-01-31 | 南京德通信息科技有限公司 | Data processing system, method and equipment of medicine storage platforms |
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