CN107040612A - A kind of information recommendation method and device - Google Patents
A kind of information recommendation method and device Download PDFInfo
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- CN107040612A CN107040612A CN201710408067.2A CN201710408067A CN107040612A CN 107040612 A CN107040612 A CN 107040612A CN 201710408067 A CN201710408067 A CN 201710408067A CN 107040612 A CN107040612 A CN 107040612A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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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
- G06F16/951—Indexing; Web crawling techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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Abstract
The invention discloses a kind of information recommendation method and device, main technical schemes include：The request that client is sent is received, user's mark, the solicited message carried in the request is obtained；It is determined that with the corresponding database of user mark, according to user mark and the solicited message from the corresponding buffer area inquiry of database result corresponding with user mark and the solicited message, the result is sent to the client；The request is put into request queue corresponding with the database；Wherein, the request in the request queue is handled according to the setting cycle, and result is stored in the corresponding buffer area of the database.Using the technical scheme, solve to exist when large-scale data access in the prior art, the problem of user can not get demand and preference information in time.
Description
The application is the middle promulgated by the State Council of entitled " a kind of information recommendation method and device " that September in 2014 is proposed on the 25th
The divisional application of bright patent application 201410498002.8.
Technical field
The present invention relates to internet information processing technology field, a kind of information recommendation method and device are more particularly related to.
Background technology
With developing rapidly for network technology and social media, it is more next that the mass data drastically expanded is that user brings
More selections.But numerous network informations are faced, user, which selects information that is oneself needs and liking, to be become to waste time and energy,
Based on this, occur in that many information recommendation methods recommend information needed for user at present.
When current information recommendation method is directed to small-scale data access request, it can accomplish to be directed to user data visit in time
The relevant information of request is asked, is that user recommends letter related to user's request from the corresponding feedback result of numerous solicited messages
Cease corresponding feedback result；But when information recommendation method faces the data access request of big rule, information recommendation method pin
The user of high concurrent is accessed, user's request delay then can not may be accomplished to be directed in time for each user request
The relevant information of user data access request, is that user recommends and user from the corresponding feedback result of numerous solicited messages
Ask the corresponding feedback result of relevant information.
In summary, existing information recommendation method is when facing large-scale data access, and the request of user would generally
It is delayed by, there is user can not effectively be responded in time, it is difficult to the problem of getting the information for needing and liking.
The content of the invention
The embodiment of the present invention provides a kind of information recommendation method and device, to solve in the prior art to exist when extensive
Data access when, the problem of user can not get demand and preference information in time.
The embodiment of the present invention provides a kind of information recommendation method, and this method includes：
The request that client is sent is received, user's mark, the solicited message carried in the request is obtained；
It is determined that with the corresponding database of user mark, according to user mark and the solicited message from the database
Corresponding buffer area inquiry result corresponding with user mark and the solicited message, the result is sent
To the client;
The request is put into request queue corresponding with the database；Wherein, the request in the request queue by by
Handled according to the setting cycle, and result is stored in the corresponding buffer area of the database as the visitor next time
The result of family end request.
Further, the solicited message includes：Ask title, request type；
It is described that the request is put into request queue corresponding with the database, including：
The user carried in the request mark, request title, request type are put into the request queue.
Further, a kind of information recommendation algorithm of each request queue correspondence, the information corresponding to each request queue is pushed away
Recommend algorithm all same, or the information recommendation algorithm corresponding at least two request queues is differed；
Request in each request queue is handled according to the setting cycle and using corresponding information recommendation algorithm.
Further, the determination and the corresponding database of user mark, including：
It is the numerical value in setting range by user's identity map；
The interval at the numerical value place in the setting range obtained according to mapping, it is determined that corresponding with the interval
Database；Wherein, the setting range is divided into multiple intervals, and one database of each interval correspondence.
Further, the database includes a default database and at least one working data base；
It is described determination with after the corresponding database of user mark, in addition to：
If it is determined that database be not default database, then by it is described request be put into the corresponding request team of the default database
In row；Wherein, the request in the corresponding request queue of the default database is handled according to the setting cycle, and processing knot
Fruit is stored in the corresponding buffer area of the default database.
Further, in addition to：
Used if not inquired from the corresponding buffer area of working data base according to user mark and the solicited message with described
Family identifies corresponding with solicited message result, then according to user mark and the solicited message from the acquiescence
The inquiry of database corresponding buffer area is identified and the corresponding result of the solicited message with the user, and by the processing
As a result it is sent to the client.
The embodiment of the present invention provides a kind of analysis method of information recommendation result, and this method includes：
Premises equipment requests information and result are obtained from front end according to the setting cycle, by the solicited message and result
It is stored in daily record；
Request title is chosen from the daily record, scene conversion rate of the request title in setting time is determined；
According to the request name acquiring user mark, the corresponding relation with database is identified according to the user, it is determined that described
The scene conversion rate of database correspondence algorithm；Wherein, the log information includes request time, request title, Yong Hubiao
Know and database.
The embodiment of the present invention provides a kind of information recommending apparatus, and the device includes：
Request reception unit：Request for receiving client transmission, obtains the user's mark carried in the request, request letter
Breath；
Obtain result unit：For determination and the corresponding database of user mark, asked according to user mark with described
Information is sought from the corresponding buffer area inquiry of database result corresponding with user mark and the solicited message,
The result is sent to the client；
Ask storage unit：For the request to be put into request queue corresponding with the database；Wherein, the request
Request in queue is handled according to the setting cycle, and result is stored in the corresponding buffer area of the database
In.
Further, the solicited message includes：Ask title, request type；
It is described request storage unit specifically for：
The user carried in the request mark, request title, request type are put into the request queue.
Further, it is described request storage unit specifically for：
A kind of information recommendation algorithm of each request queue correspondence, the information recommendation algorithm all same corresponding to each request queue,
Or the information recommendation algorithm corresponding at least two request queues is differed；
Request in each request queue is handled according to the setting cycle and using corresponding information recommendation algorithm.
Further, it is described request storage unit specifically for：It is the number in setting range by user's identity map
Value；
The interval at the numerical value place in the setting range obtained according to mapping, it is determined that corresponding with the interval
Database；Wherein, the setting range is divided into multiple intervals, and one database of each interval correspondence.
Further, the database includes a default database and at least one working data base；
The request storage unit is additionally operable to：
If it is determined that database be not default database, then by it is described request be put into the corresponding request team of the default database
In row；Wherein, the request in the corresponding request queue of the default database is handled according to the setting cycle, and processing knot
Fruit is stored in the corresponding buffer area of the default database.
Further, the request storage unit is additionally operable to：
Used if not inquired from the corresponding buffer area of working data base according to user mark and the solicited message with described
Family identifies corresponding with solicited message result, then according to user mark and the solicited message from the acquiescence
The inquiry of database corresponding buffer area is identified and the corresponding result of the solicited message with the user, and by the processing
As a result it is sent to the client.
The embodiment of the present invention provides a kind of analytical equipment of information recommendation result, and the equipment includes：
Log collection unit：, will be described for obtaining premises equipment requests information and result from front end according to the setting cycle
Solicited message and result are stored in log information；
Data analysis unit：For choosing request title from daily record, scene of the request title in setting time is determined
Conversion ratio；According to the request name acquiring user mark, the corresponding relation with database is identified according to the user, institute is determined
State the scene conversion rate of database correspondence algorithm；Wherein, the log information includes request time, request title, user
Mark and database.
The embodiment of the present invention receives the request that client sends, and obtains user's mark, the solicited message carried in the request；
It is determined that with the corresponding database of user mark, by it is described request be put into request queue corresponding with the database；Its
In, the request in the request queue is handled according to the setting cycle, and result is stored in the database pair
In the buffer area answered；According to user mark and the solicited message from the corresponding buffer area of the database inquire about with it is described
User identifies result corresponding with the solicited message, and the result is sent into the client.Using the party
Method, when receiving client request data, on the one hand can be identified from the corresponding caching of database according to solicited message and user
Inquiry and the solicited message and the corresponding result of user's mark in area, it is ensured that client acquires demand and hobby in time
Information；On the other hand solicited message and user's mark are put into request queue corresponding with database, in request queue
Request can not only be handled according to the cycle of setting, and result can be stored in it is corresponding with database caching
Qu Zhong, it is to avoid when large-scale data is accessed, the problem of information recommendation is time-consuming longer.
Brief description of the drawings
Fig. 1 is a kind of information recommendation method flow chart that the embodiment of the present invention one is provided；
Fig. 2 is a kind of information recommending apparatus schematic diagram that the embodiment of the present invention three is provided；
Fig. 3 is a kind of information recommendation interpretation of result equipment schematic diagram that the embodiment of the present invention four is provided；
Fig. 4 is that the embodiment of the present invention five provides a kind of information recommendation and analytical equipment schematic diagram.
Embodiment
The embodiment of the present invention receives the request that client sends, and obtains user's mark, the solicited message carried in the request；
It is determined that with the corresponding database of user mark, by it is described request be put into request queue corresponding with the database；Its
In, the request in the request queue is handled according to the setting cycle, and result is stored in the database pair
In the buffer area answered；According to user mark and the solicited message from the corresponding buffer area of the database inquire about with it is described
User identifies result corresponding with the solicited message, and the result is sent into the client.Using the party
Method, when receiving client request data, on the one hand can be identified from the corresponding caching of database according to solicited message and user
Inquiry and the solicited message and the corresponding result of user's mark in area, it is ensured that client acquires demand and hobby in time
Information；On the other hand solicited message and user's mark are put into request queue corresponding with database, in request queue
Request can not only be handled according to the cycle of setting, and result can be stored in it is corresponding with database caching
Qu Zhong, it is to avoid when large-scale data is accessed, the problem of information recommendation is time-consuming longer.
The executive agent of the embodiment of the present invention is such as performed in network side or server end by front end route device.Before
End route device can refer to a server or the cluster being made up of multiple servers.It is stored with the route device of front end pre-
The routing rule first defined.Wherein, routing rule defines the mapping relations between user's mark and database, due to data
Also there is corresponding relation between storehouse and buffer area, request queue, so according to database and the corresponding relation of buffer area, it may be determined that
User identifies the corresponding relation with buffer area.So as to realize that client gets the request results of demand and hobby in time.
Routing rule in the embodiment of the present invention is：N=CRC32 (UUID) mod 1000, mainly includes：Front end is route
Device receives the request of client transmission, wherein carrying UUID in request（Unique Device Identifier, equipment
Unique mark）If, can be by the MAC (medium of client device without UUID is carried in the request that client is sent
Access control, media access control) address is used as UUID.
The UUID carried in the request that client is sent carries out CRC32 conversions, and transformation result progress 1000 is taken
Mould, according to above-mentioned calculating, can obtain an Integer N between 0-999.According to the database model stored in FEP
Enclose, it may be determined that the corresponding specific databases of N.
If for example, be stored with FEP two databases A and B, and regulation N scope exists（0-500）When, correspondence
Database be A, N scope exists（501-999）When, corresponding database is B.The embodiment of the present invention in FEP to depositing
The quantity of the database of storage is not limited, and the scope of the corresponding N values of database is not also limited.
The preferred embodiments of the present invention are illustrated below in conjunction with Figure of description, it will be appreciated that described herein
Preferred embodiment is merely to illustrate and explain the present invention, and is not intended to limit the present invention.And in the case where not conflicting, this Shen
Please in embodiment and the feature in embodiment can be mutually combined.
Embodiment one
As shown in figure 1, a kind of information recommendation method flow chart that the embodiment of the present invention one is provided, comprises the following steps：
Step 101, the request for receiving client transmission, obtain user's mark, the solicited message carried in the request；
Step 102, determine with the corresponding database of user mark, identified according to the user with the solicited message from institute
The corresponding buffer area inquiry of database result corresponding with user mark and the solicited message is stated, by the processing
As a result it is sent to the client;
Step 103, by it is described request be put into request queue corresponding with the database；Wherein, in the request queue
Request is handled according to the setting cycle, and result is stored in the corresponding buffer area of the database as next
The result of the secondary client request；
Client in above-mentioned flow may include PC, tablet personal computer and mobile phone etc..
In a step 101, in the request that client is sent, user's mark and solicited message are carried, wherein, solicited message
Including：Ask title and request type；User's mark is mainly UUID, if without carrying UUID in the request that client is sent,
Front end route device can also obtain the MAC Address of client from network interface card.
For example：Client send request form be：http://localhost:port/getGuessuuid=num1&
Mac=num2＆ip=num3＆ts=num4＆tz=num5＆version=num6＆devid=num7＆usercode=num8, front end road
By device according to the solicited message received, it may be determined that information mainly include【GetGuess, get, num1】, wherein,
What num1 was represented is UUID information.
Front end route device, can be with according to getting user's mark and the routing rule that is stored in the route device of front end
Determine that user identifies corresponding N values, wherein, the routing rule in the route device of front end has preset the scope of numerical value, such as,
Number range can be 0-999 or 0-1999.
Span of the corresponding N values in number range set in advance is identified according to user, it may be determined that N value values
The corresponding database of scope, wherein, number range set in advance, which can be set, is divided into multiple intervals, and each
Interval one database of correspondence.Such as, the number range set is 0-999, corresponding A between corresponding setting 0-500
Correspondence C data storehouse between correspondence B data storehouse, 600-999 between database, 501-599, can also set correspondence between 0-999
One D database, if known N numerical value, the scope according to where N is assured that the corresponding database of N values.The present invention is implemented
Database is not limited with N corresponding scope in example, while also the quantity to database is not limited.
In a step 102, front end route device receives the request of client transmission, gets the user carried in request
Mark and solicited message, being identified according to user can be with the corresponding relation of the corresponding relation of database and database and buffer area,
It can determine that user identifies corresponding buffer area.By user's mark and the solicited message from the corresponding buffer area of the database
Middle inquiry result corresponding with user mark and the solicited message.
In embodiment, the request being put into request queue carries user's mark, request title and request type, if objective
As the solicited message that family end A is sent with the solicited message that customer end B is sent is, then the user in solicited message marks
Know, may can determine whether that the request for sending customer end A is put into request queue A, the request that customer end B is sent is put into request team
Arrange in B.Request in each request queue is handled according to the setting cycle and using corresponding information recommendation algorithm.Institute
To be inquired about according to user's mark and the solicited message from the corresponding buffer area of the database and user mark and institute
When stating solicited message corresponding result, the difference that same solicited message is identified due to user can be marked according to user
Knowledge obtains different request results.
If customer end A is continual to have sent solicited message A, solicited message B and solicited message C respectively, marked according to user
Know, it may be determined that solicited message A, solicited message B and the solicited message C for sending customer end A are all put into a request team
In row.Front end route device can be according to the user of customer end A mark and solicited message（Solicited message A, solicited message B and request
Information C）The user's mark and solicited message of customer end A are obtained from the corresponding buffer area of database（Solicited message A, request letter
Cease B and solicited message C）Corresponding result.Further, if according to user mark and the solicited message from work
The corresponding buffer area of database does not inquire result corresponding with user mark and the solicited message, then according to institute
User's mark and the solicited message is stated to identify with the user and described from the corresponding buffer area inquiry of the default database
The corresponding result of solicited message, and the result is sent to the client.
Such as, customer end A have sent solicited message, and front end route device can be identified and asked according to the user of customer end A
The user that information obtains customer end A from the corresponding buffer area of database identifies result corresponding with solicited message, if preceding
End route device according to the user of customer end A mark and solicited message do not inquired from buffer area corresponding with database and
The user of customer end A identifies result corresponding with solicited message, then front end route device can be marked according to the user of customer end A
Know and solicited message is inquired about from corresponding with the user's mark and solicited message of customer end A from the corresponding buffer area of default database
Result is managed, and the result of the corresponding buffer area of default database is returned into customer end A.
Also include in the embodiment of the present invention, client request is received when front end route device first time, wherein, client please
User's mark and solicited message are carried in asking, it is therefore possible to be user's mark that front end route device is received for the first time,
But solicited message is not received for the first time；It could also be possible that front end route device receives solicited message for the first time, but use
Family mark is not received for the first time；It could also be possible that front end route device receives solicited message and user's mark for the first time
Know.Front end route device, please by client according to the routing rule for getting user's mark and being stored in the route device of front end
The user asked is identified in request queue corresponding with the database that solicited message is stored in determination, meanwhile, front end route device
First the user's mark and the solicited message in client request are obtained and institute from the corresponding buffer area of default database
State the corresponding result of solicited message；
In step 103, corresponding N values are identified according to user, it is determined that the corresponding database of N values, in embodiments of the present invention, institute
Stating database includes storing database in a default database and at least one working data base, front end route device with asking
The corresponding relation of queue is sought, so according to the database of storage and the corresponding relation of request queue, client can be sent
Request is put into request queue corresponding with database.If it is determined that database be working data base, it is necessary to by client
The request of transmission is put into the corresponding request queue of working data base, it is also desirable to which the request that client is sent is put into
Into the corresponding request queue of default database.Wherein, request of the storage into request queue carries user's mark, request name
Claim and request type.
Such as, the number range set is 0-999, corresponding A databases between corresponding setting 0-500,501-599 it
Between correspondence B data storehouse, correspondence C data storehouse between 600-999 can also set one D database of correspondence between 0-999, work as root
When according to user, to identify corresponding N values be 522, it is 522 determinations that the request that front end route device can send client, which is put into N values,
In the corresponding request queue in B data storehouse, meanwhile, the request that client is sent can be also put into D databases by front end route device,
Here D databases are a default databases, and front end route device can be deposited in the corresponding request queue of default database
All client requests received, using this information recommendation method, it is ensured that if client user identifies and institute according to user
State solicited message and obtain data failure from the corresponding buffer area of database, then can be according to user's mark and the solicited message
The result corresponding with user's mark and the solicited message obtained from the corresponding buffer area of default database.
Further, a kind of information recommendation algorithm of each request queue correspondence, request in each request queue by according to
The setting cycle is simultaneously handled using corresponding information recommendation algorithm.
Such as, need evaluation algorithms A, B, C, and have three databases α, β and θ in the route device of front end, with three data
The corresponding request queue in storehouse is respectively a, b, c, by algorithm B corresponding requests queue b, can incite somebody to action algorithm A corresponding requests queue a
Algorithm C correspondences and request queue c, it is finally, the result storage obtained in request queue a using algorithm A is corresponding to database α
In buffer area；The result obtained in request queue b using algorithm B is stored into the corresponding buffer areas of database β；By queue c
The result that middle use algorithm C is obtained is stored into the corresponding buffer areas of database θ.
Further, the information recommendation algorithm all same corresponding to each request queue, the request in each request queue
Handled according to the setting cycle and using corresponding information recommendation algorithm.
Such as, need evaluation algorithms A, and have three databases α, β and θ in the route device of front end, with three databases pair
The request queue answered is respectively a, b, c, algorithm A can be distinguished into corresponding requests queue a, request queue b and request queue c, will
The result obtained in request queue a using algorithm A is stored into the corresponding buffer areas of database α；Calculated being used in request queue b
The result that method A is obtained is stored into the corresponding buffer areas of database β；Number is arrived into the result storage obtained in queue c using algorithm A
According in the corresponding buffer areas of storehouse θ.
Further, or the information recommendation algorithm corresponding at least two request queues is differed, team is each asked
Request in row is handled according to the setting cycle and using corresponding information recommendation algorithm.
Such as, need evaluation algorithms A, B, and have three databases α, β and θ in the route device of front end, with three databases
Corresponding request queue is respectively a, b, c, algorithm B can be distinguished into corresponding requests queue b and request queue c, by algorithm A correspondences
Request queue a.Finally the result obtained in request queue a using algorithm A is stored into the corresponding buffer areas of database α；Will
The result obtained in request queue b using algorithm B is stored into the corresponding buffer areas of database β；Algorithm B will be used in queue c
Obtained result is stored into the corresponding buffer areas of database θ.
The embodiment of the present invention receives the request that client sends, and obtains user's mark, the solicited message carried in the request；
It is determined that with the corresponding database of user mark, by it is described request be put into request queue corresponding with the database；Its
In, the request in the request queue is handled according to the setting cycle, and result is stored in the database pair
In the buffer area answered；According to user mark and the solicited message from the corresponding buffer area of the database inquire about with it is described
User identifies result corresponding with the solicited message, and the result is sent into the client.Using the party
Method, when receiving client request data, on the one hand can be identified from the corresponding caching of database according to solicited message and user
Inquiry and the solicited message and the corresponding result of user's mark in area, it is ensured that client acquires demand and hobby in time
Information；On the other hand solicited message and user's mark are put into request queue corresponding with database, in request queue
Request can not only be handled according to the cycle of setting, and result can be stored in it is corresponding with database caching
Qu Zhong, it is to avoid when large-scale data is accessed, the problem of information recommendation is time-consuming longer.
Embodiment two
During actual information recommendation, when client receives the corresponding place of solicited message that front end route device is returned
Result is managed, log collection unit can return to client within the cycle of setting from front end route device collection front end route device
Solicited message result, and the result of the solicited message of the client collected is stored in the form of daily record
Into log collection unit.Data analysis unit in log collection unit can divide the daily record stored in log collection unit
Analysis, according to analysis result, determines whether the corresponding result of solicited message that front end route device returns to client is visitor
The request results of family end subscriber demand and hobby.
Data analysis unit in the embodiment of the present invention in log collection unit, obtains request title from daily record, according to
Request title and user's mark determine whether client is receiving the place that front end route device returns to the solicited message of client
Manage after result, if the result is further processed.
Such as, log collection unit collects the B requests that front end route device returns to A clients from front end route device
The C results of information, wherein solicited message include request title and request type, and corresponding result is front end route
Database in device, according to database and buffer area and the corresponding relation of request queue, can determine buffer area by database
With the information of request queue.What it is when the transmission for the first time of A clients is B solicited messages, and front end route device please according to A clients
Title and user is asked to identify from the corresponding buffer area inquiry of database and the request title of A clients and the corresponding C of user's mark
Result, and C results are returned into A clients；If A clients are satisfied to the C results of return, A visitors
Family end can also further be operated to C results, regard C results as second of solicited message（C solicited messages）Hair
Deliver to front end route device, the C solicited messages for the A clients that front end route device is received, according to the request title of A clients and
User's mark inquires about D results corresponding with the request title of A clients and user's mark from the corresponding buffer area of database,
And D results are returned into A clients, if A clients are satisfied to the D results of return, D processing can also tied
Fruit is sent to front end route device as solicited message again.Or, A clients are unsatisfied with to the D results of return,
It can then stop sending straight front end route device using D results as solicited message.
The calculation formula of the scene conversion that is stored with data analysis unit in embodiment of the present invention rate, mainly in setting
Period in, whether the result for the solicited message that client is returned to front end route device has continuous solicited message,
Such as, client sends to the request of front end route device to guess that you like for the first time（actionA）Request, front end route dress
Put return to client on（actionA）Result is that film recommends the page（actionB）, client is for front end route
The film of return recommends a certain bar in the page satisfied, and client recommends the film a certain article of information in page to be used as the
Secondary request（actionB）Send to front end route device, front end route device return to client on（actionB）Processing
As a result it is motion picture film introduction and projection（actionC）, client, which shows the motion picture film, is used as third time request
（actionC）Send to front end route device, front end route device return to client on（actionC）Result is to put
Reflect（actionD）, client finishes the access of front end route device.
Wherein, client is asked for the first time（actionA）To enter the request of scene；Second of request（actionB）Phase
Asked for first time（actionA）For effective scene conversion；Second of request（actionB）Relative to（actionB）Processing
As a result（actionC）To enter the request of scene；Third time is asked（actionC）Asked relative to second（actionB）For
Effective scene conversion；Third time is asked（actionC）Relatively（actionC）Result（actionD）To enter asking for scene
Ask.What if all requests of client were completed in setting time, it is total up to 3 in the request of the entrance scene of this client
It is secondary, and effective scene conversion is 2 times, it is " effective according to the calculation formula for the scene conversion rate that is stored with data analysis unit
The request of scene conversion/entrance scene ", it may be determined that scene conversion rate herein is effective scene conversion 2/3.
The result that front end route device returns to the solicited message of client in embodiments of the present invention is according to client
End subscriber is identified and solicited message is obtained from the inquiry of database corresponding buffer area, because each corresponding request queue of database
In have corresponding algorithm.And be put into the solicited message in request queue and can be processed within the time of setting, and will place
Result storage is managed into buffer area.So, the log information in data analysis unit analysis log collection unit can obtain every
The corresponding scene conversion rate of solicited message of individual client.Wherein log information includes request time, request title, user's mark
And database.
According to the field of each request title in database in log information and the corresponding relation and log information of request queue
Scape conversion ratio, can obtain the scene conversion rate of the algorithm in request queue.
Data analysis unit of the embodiment of the present invention chooses request title from log information, determines that the request title is being set
Scene conversion rate in fixing time；According to the request name acquiring user mark, identified and database according to the user
Corresponding relation, determines the scene conversion rate of the database correspondence algorithm；Using this method, what data analysis unit was obtained
Scene conversion rate is that centered on the experience of client user, and feedack is objective, comprehensive and real.
Based on same inventive concept, the embodiments of the invention provide a kind of information recommending apparatus, because the device solves skill
The principle of art problem is similar to a kind of information recommendation method, therefore the implementation of the device may refer to the implementation of method, repetition
Place is repeated no more.
Embodiment three
The embodiment of the present invention three provide a kind of information recommending apparatus, as shown in Fig. 2 the equipment include request reception unit 21,
Obtain result unit 22 and request storage unit 23.
Request reception unit 21：Request for receiving client transmission, the user's mark carried in the acquisition request,
Solicited message；
Obtain result unit 22：For determination and the corresponding database of user mark, identified according to the user and described
Solicited message is tied from the corresponding buffer area inquiry of database processing corresponding with user mark and the solicited message
Really, the result is sent to the client；The request is put into request queue corresponding with the database；
Wherein, the request in the request queue is handled according to the setting cycle, and result is stored in the database
In corresponding buffer area；
Ask storage unit 23：For the request to be put into request queue corresponding with the database；Wherein, it is described to ask
The request in queue is asked to be handled according to the setting cycle, and result is stored in the corresponding buffer area of the database
In.
Further, the solicited message includes：Ask title, request type；
It is described request storage unit specifically for：
The user carried in the request mark, request title, request type are put into the request queue.
Further, it is described request storage unit specifically for：
A kind of information recommendation algorithm of each request queue correspondence, the information recommendation algorithm all same corresponding to each request queue,
Or the information recommendation algorithm corresponding at least two request queues is differed；
Request in each request queue is handled according to the setting cycle and using corresponding information recommendation algorithm.
Further, it is described request storage unit 23 specifically for：
It is the numerical value in setting range by user's identity map；
The interval at the numerical value place in the setting range obtained according to mapping, it is determined that corresponding with the interval
Database；Wherein, the setting range is divided into multiple intervals, and one database of each interval correspondence.
Further, the database includes a default database and at least one working data base；
The request storage unit 23 is additionally operable to：
If it is determined that database be not default database, then by it is described request be put into the corresponding request team of the default database
In row；Wherein, the request in the corresponding request queue of the default database is handled according to the setting cycle, and processing knot
Fruit is stored in the corresponding buffer area of the default database.
Further, the request storage unit 23 is additionally operable to：
Used if not inquired from the corresponding buffer area of working data base according to user mark and the solicited message with described
Family identifies corresponding with solicited message result, then according to user mark and the solicited message from the acquiescence
The inquiry of database corresponding buffer area is identified and the corresponding result of the solicited message with the user, and by the processing
As a result it is sent to the client.
The embodiment of the present invention receives the request that client sends, and obtains user's mark, the solicited message carried in the request；
It is determined that with the corresponding database of user mark, by it is described request be put into request queue corresponding with the database；Its
In, the request in the request queue is handled according to the setting cycle, and result is stored in the database pair
In the buffer area answered；According to user mark and the solicited message from the corresponding buffer area of the database inquire about with it is described
User identifies result corresponding with the solicited message, and the result is sent into the client.Using the party
Method, when receiving client request data, on the one hand can be identified from the corresponding caching of database according to solicited message and user
Inquiry and the solicited message and the corresponding result of user's mark in area, it is ensured that client acquires demand and hobby in time
Information；On the other hand solicited message and user's mark are put into request queue corresponding with database, in request queue
Request can not only be handled according to the cycle of setting, and result can be stored in it is corresponding with database caching
Qu Zhong, it is to avoid when large-scale data is accessed, the problem of information recommendation is time-consuming longer.
Example IV
As shown in figure 3, the embodiment of the present invention four provides a kind of analytical equipment of information recommendation result, including log collection unit 31
With data analysis unit 32.
Log collection unit 31：For obtaining premises equipment requests information and result from front end according to the setting cycle,
The solicited message and result are stored in log information；
Data analysis unit 32：For choosing request title from daily record, field of the request title in setting time is determined
Scape conversion ratio；According to the request name acquiring user mark, the corresponding relation with database is identified according to the user, it is determined that
The scene conversion rate of the database correspondence algorithm；Wherein, the log information includes request time, request title, used
Family is identified and database.
Data analysis unit of the embodiment of the present invention chooses request title from log information, determines that the request title is being set
Scene conversion rate in fixing time；According to the request name acquiring user mark, identified and database according to the user
Corresponding relation, determines the scene conversion rate of the database correspondence algorithm；Using this method, what data analysis unit was obtained
Scene conversion rate is that centered on the experience of client user, and feedack is objective, comprehensive and real.
Embodiment five
As shown in figure 4, the embodiment of the present invention provides a kind of information recommendation and analytical equipment, including processor 40, memory 41, use
Family interface 42 and EBI 43.Wherein, connected between processor 40, memory 41 and user interface 42 by EBI 43
Connect.
Processor 40, the request for receiving client transmission obtains the user's mark carried in the request, request letter
Breath；It is determined that with the corresponding database of user mark, according to user mark and the solicited message from the database
Corresponding buffer area inquiry result corresponding with user mark and the solicited message, the result is sent
To the client；The request is put into request queue corresponding with the database；Wherein, in the request queue
Request is handled according to the setting cycle, and result is stored in the corresponding buffer area of the database.
Further, the processor 40, specifically for：
The solicited message includes：Ask title, request type；
It is described that the request is put into request queue corresponding with the database, including：
The user carried in the request mark, request title, request type are put into the request queue.
Further, the processor 40, specifically for：
A kind of information recommendation algorithm of each request queue correspondence, the information recommendation algorithm all same corresponding to each request queue,
Or the information recommendation algorithm corresponding at least two request queues is differed；
Request in each request queue is handled according to the setting cycle and using corresponding information recommendation algorithm.
Further, the processor 40, is additionally operable to：
It is the numerical value in setting range by user's identity map；
The interval at the numerical value place in the setting range obtained according to mapping, it is determined that corresponding with the interval
Database；Wherein, the setting range is divided into multiple intervals, and one database of each interval correspondence.
Further, the processor 40, is additionally operable to：
The database includes a default database and at least one working data base；
It is described determination with after the corresponding database of user mark, in addition to：
If it is determined that database be not default database, then by it is described request be put into the corresponding request team of the default database
In row；Wherein, the request in the corresponding request queue of the default database is handled according to the setting cycle, and processing knot
Fruit is stored in the corresponding buffer area of the default database.
Further, the processor 40, is additionally operable to：
Used if not inquired from the corresponding buffer area of working data base according to user mark and the solicited message with described
Family identifies corresponding with solicited message result, then according to user mark and the solicited message from the acquiescence
The inquiry of database corresponding buffer area is identified and the corresponding result of the solicited message with the user, and by the processing
As a result it is sent to the client.
Further, the processor 40, is additionally operable to：
Premises equipment requests information and result are obtained from front end according to the setting cycle, by the solicited message and result
It is stored in daily record；
Request title is chosen from daily record, scene conversion rate of the request title in setting time is determined；
According to the request name acquiring user mark, the corresponding relation with database is identified according to the user, it is determined that described
The scene conversion rate of database correspondence algorithm；Wherein, the log information includes request time, request title, Yong Hubiao
Know and database.
In Fig. 4 of the embodiment of the present invention, bus architecture can include any number of interconnection bus and bridge, specifically by
The various circuits for the memory that the one or more processors and memory 41 that reason device 40 is represented are represented are linked together.Total coil holder
Structure can also link together various other circuits of such as ancillary equipment, voltage-stablizer and management circuit or the like, this
A little is all it is known in the art, therefore, no longer it is described further herein.
In Fig. 4 of the embodiment of the present invention, EBI 43 provides interface.Processor 40 is responsible for bus architecture and usual
Processing, memory 41 can store processor 40 perform operation when used data.For different user equipmenies, use
Family interface 42, which can also be external to be inscribed, needs the interface of equipment, and the equipment of connection includes but is not limited to keypad, display
Device, loudspeaker, microphone, control stick etc..
Processor 40 is responsible for bus architecture and common processing, and memory 41 can store processor 40 and perform behaviour
Used data when making.
By the description of above-described flow chart and scheme, the request that client sends is received, is obtained in the request
User's mark, the solicited message of carrying；It is determined that with the corresponding database of user mark, by it is described request be put into and the number
According in the corresponding request queue in storehouse；Wherein, the request in the request queue is handled according to the setting cycle, and processing knot
Fruit is stored in the corresponding buffer area of the database；According to user mark and the solicited message from the database
Corresponding buffer area inquiry result corresponding with user mark and the solicited message, the result is sent
To the client.Using this method, when receiving client request data, on the one hand it can be marked according to solicited message and user
Know inquiry and the solicited message and the corresponding result of user's mark from database corresponding buffer area, it is ensured that client
The information of demand and hobby is acquired in time；On the other hand solicited message and user's mark are put into ask corresponding with database
Ask in queue, the request in request queue can not only be handled according to the cycle of setting, and result can be stored
Into buffer area corresponding with database, it is to avoid when large-scale data is accessed, the problem of information recommendation is time-consuming longer.Data
Analytic unit chooses request title from log information, determines scene conversion rate of the request title in setting time；Root
According to the request name acquiring user mark, the corresponding relation with database is identified according to the user, the database is determined
The scene conversion rate of correspondence algorithm.The scene conversion rate that data analysis unit is obtained is the experience using client user in
The heart, and feedack is objective, comprehensive and real.
It should be appreciated that information above recommend and the unit that includes of analytical equipment only according to the work(realized of the apparatus
In the logical partitioning that can be carried out, practical application, the superposition or fractionation of said units can be carried out.And the letter that the embodiment is provided
The function that breath recommendation apparatus is realized is corresponded with the information recommendation method that above-described embodiment is provided, and for the equipment, institute is real
Existing more detailed handling process, has been described in detail in above method embodiment one, has been not described in detail herein.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
Usable storage medium（Including but not limited to magnetic disk storage, CD-ROM, optical memory etc.）The computer program production of upper implementation
The form of product.
The present invention is with reference to method according to embodiments of the present invention, equipment（System）And the flow of computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (10)
1. a kind of information recommendation method, it is characterised in that this method includes：
User's mark and solicited message in the request sent according to client, the slow of corresponding database is identified from the user
Area is deposited, the result is sent to described by inquiry result corresponding with user mark and the solicited message
Client.
2. according to the method described in claim 1, it is characterised in that it is described by the result be sent to the client it
Afterwards, methods described also includes：
The request is put into the request queue with the database；Wherein, the request in the request queue is by according to setting
Fixed cycle is handled, and result is stored in the buffer area to be used as the result asked next time.
3. method according to claim 2, it is characterised in that the request being put into the request with the database
In queue, it is specially：
The user carried in the request is identified, asks title and request type to be put into the request queue with the database
In.
4. the method according to any one of claim 1 ~ 3, it is characterised in that described to identify corresponding data from the user
The buffer area in storehouse, inquiry result corresponding with user mark and the solicited message, specially：
According to default rule, determine that the user identifies corresponding numerical value；
Interval according to where the numerical value, determines that the user identifies corresponding database；
The buffer area of corresponding database is identified from the user, inquiry is corresponding with user mark and the solicited message
Result.
5. the method according to claim 1 or 4, it is characterised in that described to be put into the request and the database
In request queue, it is specially：
If it is not default database that the user, which identifies corresponding database, the request is put into and the default database
Request queue in.
6. method according to claim 5, it is characterised in that described from slow with the corresponding database of user mark
Area is deposited, the result is sent to described by inquiry result corresponding with user mark and the solicited message
Client, be specially：
If it is working data base that the user, which identifies corresponding database, from the buffer area of the working data base inquiry with
The user identifies result corresponding with the solicited message；
If not inquiring, inquiry and user mark and the solicited message pair from the buffer area of the default database
The result answered, the client is sent to by the result.
7. a kind of information recommending apparatus, it is characterised in that the device includes：
Result unit is obtained, specifically for the user's mark and solicited message in the request that is sent according to client, is used from described
Family identifies the buffer area of corresponding database, and inquiry result corresponding with user mark and the solicited message will
The result is sent to the client.
8. device according to claim 7, it is characterised in that described device also includes：
Storage unit is asked, specifically for the request is put into the request queue of the database；Wherein, the request team
Request in row is by according to setting period treatment, and result is stored in the buffer area using as asking next time
Result.
9. a kind of front end route device, including memory, processor and storage can be run on a memory and on a processor
Computer program, it is characterised in that realize following steps during computer program described in the computing device：
User's mark and solicited message in the request sent according to client, the slow of corresponding database is identified from the user
Area is deposited, the result is sent to described by inquiry result corresponding with user mark and the solicited message
Client.
10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program
Following steps are realized when being executed by processor：
User's mark and solicited message in the request sent according to client, the slow of corresponding database is identified from the user
Area is deposited, the result is sent to described by inquiry result corresponding with user mark and the solicited message
Client.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710408067.2A CN107040612A (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410498002.8A CN104243598B (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
| CN201710408067.2A CN107040612A (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410498002.8A Division CN104243598B (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107040612A true CN107040612A (en) | 2017-08-11 |
Family
ID=52230926
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410498002.8A Active CN104243598B (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
| CN201710408576.5A Withdrawn CN107172177A (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
| CN201710408067.2A Withdrawn CN107040612A (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201410498002.8A Active CN104243598B (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
| CN201710408576.5A Withdrawn CN107172177A (en) | 2014-09-25 | 2014-09-25 | A kind of information recommendation method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112104731A (en) * | 2020-09-11 | 2020-12-18 | 北京奇艺世纪科技有限公司 | Request processing method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104362535B (en) * | 2014-10-31 | 2017-05-03 | 平高集团有限公司 | Tank, arc extinguish chamber using tank, and sealed switch device |
| CN106161558A (en) * | 2015-04-21 | 2016-11-23 | 阿里巴巴集团控股有限公司 | A kind of request processing method and device |
| CN108694075B (en) * | 2017-04-12 | 2021-03-30 | 北京京东尚科信息技术有限公司 | Method and device for processing report data, electronic equipment and readable storage medium |
| CN108256719B (en) * | 2017-07-24 | 2022-11-04 | 平安科技（深圳）有限公司 | Resource processing system and method |
| CN110196713B (en) * | 2018-03-05 | 2022-01-28 | 腾讯科技（深圳）有限公司 | Method, device, medium and equipment for determining recommendation result |
| CN108809703A (en) * | 2018-05-28 | 2018-11-13 | 深圳远征技术有限公司 | A kind of method for pushing of alarm notification, system and server |
| CN109271438B (en) * | 2018-10-10 | 2022-01-04 | 上海艾融软件股份有限公司 | Database access method and system |
| CN109740083A (en) * | 2018-12-29 | 2019-05-10 | 贵阳朗玛信息技术股份有限公司 | A kind of method and device of page jump |
| CN109815413A (en) * | 2019-03-19 | 2019-05-28 | 合肥中科类脑智能技术有限公司 | A kind of intelligent recommendation system and its intelligent recommendation method |
| CN110740103A (en) * | 2019-09-02 | 2020-01-31 | 深圳壹账通智能科技有限公司 | Service request processing method and device, computer equipment and storage medium |
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Also Published As
| Publication number | Publication date |
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| CN104243598B (en) | 2017-07-25 |
| CN104243598A (en) | 2014-12-24 |
| CN107172177A (en) | 2017-09-15 |
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Application publication date: 20170811 |