CN110059250A - Information recommendation method, device, equipment and storage medium - Google Patents
Information recommendation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110059250A CN110059250A CN201910313149.8A CN201910313149A CN110059250A CN 110059250 A CN110059250 A CN 110059250A CN 201910313149 A CN201910313149 A CN 201910313149A CN 110059250 A CN110059250 A CN 110059250A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- recommendation list
- content
- recommendation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000001815 facial effect Effects 0.000 claims abstract description 36
- 230000015654 memory Effects 0.000 description 15
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000002123 temporal effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The embodiment of the invention discloses a kind of information recommendation method, device, equipment and storage medium, this method includes identifying to the facial image of user, determines the characteristic information of the user;The data operating record of the user and the attribute information of content to be recommended are obtained, recommendation list is generated according to the characteristic information, the data operating record and the attribute information;The content in the recommendation list is updated according to current context information, updated recommendation list is shown.This programme improves the reasonability of recommendation, can better meet user demand.
Description
Technical field
The invention relates to field of computer technology more particularly to a kind of information recommendation method, device, equipment and deposit
Storage media.
Background technique
This part intends to provides background or context for the presently filed embodiment stated in claims.Herein
Description recognizes it is the prior art not because not being included in this section.
With the development of internet, all kinds of commodity and service all can be by completing, as user is purchased by shopping website on line
A commodity, or the service provided using service supplier are provided.In order to better meet user demand, can distribute to user
Recommendation information meets user.
In the prior art, the mode for generating recommendation information is more single, and the conversion ratio of recommendation information is lower, cannot be good
Meet user's actual need, there are certain defects.
Summary of the invention
The embodiment of the invention provides a kind of information recommendation method, device, equipment and storage mediums, improve recommendation
Reasonability, user demand can be better met.
In a first aspect, the embodiment of the invention provides a kind of information recommendation methods, this method comprises:
The facial image of user is identified, determines the characteristic information of the user;
Obtain the data operating record of the user and the attribute information of content to be recommended, according to the characteristic information,
The data operating record and the attribute information generate recommendation list;
The content in the recommendation list is updated according to current context information, updated recommendation list is carried out
It shows.
Second aspect, the embodiment of the invention also provides a kind of information recommending apparatus, which includes:
Characteristic determination module is identified for the facial image to user, determines the characteristic information of the user;
Recommendation list determining module, for obtaining the data operating record of the user and the attribute letter of content to be recommended
Breath generates recommendation list according to the characteristic information, the data operating record and the attribute information;
Recommendation list update module, for being updated according to current context information to the content in the recommendation list,
Updated recommendation list is shown.
The third aspect, the embodiment of the invention also provides a kind of equipment, which includes:
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes information recommendation method described in the embodiment of the present invention.
Fourth aspect, it is described the embodiment of the invention also provides a kind of storage medium comprising computer executable instructions
Computer executable instructions as computer processor when being executed for executing information recommendation method described in the embodiment of the present invention.
It in the embodiment of the present invention, is identified by the facial image to user, determines the characteristic information of the user, obtain
The data operating record of the user and the attribute information of content to be recommended are taken, is grasped according to the characteristic information, the data
It notes down and the attribute information generates recommendation list, the content in the recommendation list is carried out according to current context information
It updates, the technical solution that updated recommendation list is shown improves the reasonability of recommendation, can preferably expire
Sufficient user demand.
Detailed description of the invention
Fig. 1 is a kind of flow chart of information recommendation method provided in an embodiment of the present invention;
Fig. 2 is the flow chart of another information recommendation method provided in an embodiment of the present invention;
Fig. 3 is the flow chart of another information recommendation method provided in an embodiment of the present invention;
Fig. 4 is the flow chart of another information recommendation method provided in an embodiment of the present invention;
Fig. 5 is the flow chart of another information recommendation method provided in an embodiment of the present invention;
Fig. 6 is the flow chart of another information recommendation method provided in an embodiment of the present invention;
Fig. 7 is a kind of structural block diagram of information recommending apparatus provided in an embodiment of the present invention;
Fig. 8 is a kind of structural schematic diagram of equipment provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this
Locate described specific embodiment and is used only for explaining the embodiment of the present invention, rather than the restriction to the embodiment of the present invention.In addition also
It should be noted that only parts related to embodiments of the present invention are shown rather than entire infrastructure for ease of description, in attached drawing.
Fig. 1 is a kind of flow chart of information recommendation method provided in an embodiment of the present invention, and the present embodiment is applicable to generate
Recommendation information, this method can be executed by equipment such as mobile phone terminal or computer, be specifically comprised the following steps:
Step S101, the facial image of user is identified, determines the characteristic information of the user.
In one embodiment, by taking user is using smart phone as an example, after user unlocks smart phone, pass through intelligent hand
The facial image of the camera acquisition user of machine optionally can also be after user opens application program, pass through smart phone
Camera acquisition user facial image.
Optionally, when this method is run for the first time, prompting frame can be popped up with obtain camera shooting image permission, when with
When family selects " permission ", image taking can be carried out by photographic device during follow-up operation.
In one embodiment, the characteristic information to determine the user is identified to the facial image of acquisition, wherein should
Characteristic information is used to characterize the feature of the active user identified, such as gender, the age, whether wearing spectacles, hair style.Specifically
, the cloud service interface of service provider's offer can be used in facial image recognition process, which is sent to Cloud Server
After being identified, the characteristic information of the user of identification is received;It is also possible that the AI being internally integrated by smart phone is intelligently calculated
Method identifies the facial image of acquisition, to determine the characteristic information of user.
Step S102, the data operating record of the user and the attribute information of content to be recommended are obtained, according to described
Characteristic information, the data operating record and the attribute information generate recommendation list.
Wherein, the data operating record of user include user using smart phone when the operation note that generates, such as search
Name of product, and the evaluation information provided after having bought product etc..Content to be recommended can be commodity, service etc., with quotient
For product, the attribute information of content to be recommended can be the sales situation of commodity, favor information etc..Wherein, the data behaviour of user
Acquisition can be collected when user is using application program or opens using smart phone by noting down, the attribute letter of content to be recommended
Breath can be obtained by the brief introduction of businessman or content to be recommended, description content.
Wherein, the attribute information of the content to be recommended includes opinion rating and applicable information, opinion rating such as commodity
Star is evaluated, wherein five stars are the superlative degree, a star is lowermost level, and the higher commodity of rank are easier to be recommended;It is applicable in letter
Breath includes being applicable in the age, being applicable in gender etc..
In one embodiment, according to the attribute information of user's characteristic information, data operating record and content to be recommended
Generating recommendation list mode can be by the way of tabling look-up, i.e., safeguards a recommendation tables in the database, and table record is different
User characteristics, the attribute information of data operating record and content to be recommended and the relationship maps relationship of consequently recommended content.
Illustratively, charting content may is that characteristic information " gender male ", characteristic information " 18-30 years old age ", data manipulation note
It records keyword " trip ", the attribute information " drop oozes row, preferential 10 yuan of single of going on a journey " of content to be recommended, correspondingly, matching
Characteristic information to active user is that " male " age bracket user in 18-30 years old, data operating record searched for " trip ", then
Corresponding content to be recommended is confirmed as " service of drop drop ".
In another embodiment, raw according to the characteristic information, the data operating record and the attribute information
At recommendation list it may also is that generating the information recommendation model with the user according to the characteristic information;According to the information
Recommended models, the data operating record and the attribute information generate recommendation list.
Step S103, the content in the recommendation list is updated according to current context information, is pushed away updated
List is recommended to be shown.
Wherein, it after generating recommendation list, is updated, is had according to content of the current environmental information to the recommendation list
Body, it can be and the content of the recommendation list is rejected, is filtered.Environmental information may include current temporal information, use
The location of family etc..
In one embodiment, the current context information includes current time, it is described according to current context information to institute
Stating the content in recommendation list and being updated includes: applicable information according to the content in current time and the recommendation list
Content in the recommendation list is updated.In another embodiment, the current context information includes the use of acquisition
The image information of family local environment, described be updated according to current context information to the content in the recommendation list include:
The content in the recommendation list is carried out according to the information that is applicable in of the content in described image information and the recommendation list
It updates.
By above scheme it is found that in the present solution, by being identified to obtain the characteristic information of user to facial image, with
Facial image can be acquired during the normal use equipment of family, is manually operated or carries out additional other content without user
Setting, the attribute information of the data operating record and content to be recommended of this feature information and user is combined, it is comprehensive
After obtaining list to be recommended, then it is updated according to content of the current environmental information to the recommendation list, modifies, filters,
Updated recommendation list is finally showed into user, due to recognized user characteristic information and content to be recommended
Attribute information is auxiliary, while the content in recommendation list is suitable for current environment again, improves the reasonability of recommendation, energy
Enough better meet user demand.
Fig. 2 is the flow chart of another information recommendation method provided in an embodiment of the present invention, optionally, described to user's
Facial image is identified, determines that the characteristic information of the user includes: to identify to the facial image of user, described in determination
Gender, age and the facial characteristics of user.As shown in Fig. 2, technical solution is specific as follows:
Step S201, the facial image of user is identified, determines gender, age and the facial characteristics of the user.
Step S202, the data operating record of the user and the attribute information of content to be recommended are obtained, according to user
Characteristic information, the data operating record and the attribute information generate recommendation list, the characteristic information includes user
Gender, age and facial characteristics.
In one embodiment, the facial characteristics can be user whether wearing spectacles, skin etc., according to the face
The attribute information of the operation note of feature combined data and content to be recommended generates recommendation list.Specifically, such as recognizing use
Family skin is poor, then accordingly can be by skin-protection product, medicine question and answer service etc. as the commending contents exhibition in recommendation list
Show to user.
Step S203, the content in the recommendation list is updated according to current context information, is pushed away updated
List is recommended to be shown.
By above scheme it is found that using the face recognition result to user as it is final determine recommendation list one of factor,
The reasonability of recommendation is improved, user demand can be better met.
Fig. 3 is the flow chart of another information recommendation method provided in an embodiment of the present invention, optionally, described in the acquisition
The data operating record of user includes: the search data for obtaining the user and inputting in search box, in the comment of comment box input
Data and order purchaser record.As shown in figure 3, technical solution is specific as follows:
Step S301, the facial image of user is identified, determines the characteristic information of the user.
Step S302, the search data that the user input in search box are obtained, the comment data that comment box inputs with
And order purchaser record.
In one embodiment, the user data operation note of acquisition includes the search data that user inputs in search box,
In the comment data and order purchaser record of comment box input, wherein the search data characterization portion requirements of user, are commented
The satisfaction for characterizing user, commodity of the order purchaser record such as purchase are commented etc. by the comment data such as favorable comment of frame input, difference
Quantity and frequency characterize user to the degree of recognition and demand degree of the commodity.
Step S303, it is generated and is recommended according to the characteristic information, the data operating record of user and the attribute information
List, the data operating record of the user include the search data that user inputs in search box, in the comment of comment box input
Data and order purchaser record.
Step S304, the content in the recommendation list is updated according to current context information, is pushed away updated
List is recommended to be shown.
By above scheme it is found that by the data manipulation of the characteristic information of user, the attribute information of content to be recommended and user
Record combines, and the product for best embodying, meeting user demand is supplied to user, improves the reasonability of recommendation, energy
Enough better meet user demand.
Fig. 4 is the flow chart of another information recommendation method provided in an embodiment of the present invention, optionally, described to be recommended interior
Holding includes commodity to be recommended and/or service to be recommended, and the attribute information of the content to be recommended includes opinion rating and applicable letter
Breath.The current context information includes current time, it is described according to current context information to the content in the recommendation list into
It includes: according to the applicable information of the content in current time and the recommendation list in the recommendation list that row, which updates,
Appearance is updated.As shown in figure 4, technical solution is specific as follows:
Step S401, the facial image of user is identified, determines the characteristic information of the user.
Step S402, the data operating record of the user and the attribute information of content to be recommended are obtained, according to described
Characteristic information, the data operating record and the attribute information generate recommendation list.
Step S403, according to the applicable information of the content in current time and the recommendation list to the recommendation list
In content be updated, updated recommendation list is shown.
In one embodiment, after obtaining recommendation list, the recommendation list is carried out more according to current temporal information
Newly, illustratively, recommendation list includes " service of drop drop " before the update, is " after 12 point " and user when getting current time
Characteristic information in gender when being " female ", then it is corresponding update filter out should " service of drop drop " recommendation, i.e., will " drop drop takes
Recommendation list is deleted out in business ".Illustratively, when getting current time is " -9 point of 6:00 AM ", then will recommend to arrange accordingly
" lunch carryout service ", " food commodity " in table are filtered.
It can be seen from the above, in the present solution, according to the applicable information pair of the content in current time and the recommendation list
Content in the recommendation list is updated, and updated recommendation list is shown, recommendation is further improved
Reasonability, user demand can be better met.
Fig. 5 is the flow chart of another information recommendation method provided in an embodiment of the present invention, optionally, described to be recommended interior
Holding includes commodity to be recommended and/or service to be recommended, and the attribute information of the content to be recommended includes opinion rating and applicable letter
Breath.The current context information include acquisition user's local environment image information, it is described according to current context information to institute
Stating the content in recommendation list and being updated includes: being applicable according to the content in described image information and the recommendation list
Information is updated the content in the recommendation list.As shown in figure 5, technical solution is specific as follows:
Step S501, the facial image of user is identified, determines the characteristic information of the user.
Step S502, the data operating record of the user and the attribute information of content to be recommended are obtained, according to described
Characteristic information, the data operating record and the attribute information generate recommendation list.
Step S503, the image information for acquiring current environment, according in described image information and the recommendation list
The information that is applicable in of content is updated the content in the recommendation list, and updated recommendation list is shown.
In one embodiment, after obtaining recommendation list, the image information of current environment is acquired, is believed according to described image
The information that is applicable in of breath and the content in the recommendation list is updated the content in the recommendation list, wherein can lead to
It crosses photographic device and image information is obtained to the environment progress image taking that user is presently in, which has characterized user and worked as
Preceding locating specific environment situation.Illustratively, it identifies in present image information comprising entertainment for children scene, is such as travelling
Children, then be served by accordingly and be added in recommendation list by garden, park etc..
It can be seen from the above, in the present solution, according to the applicable letter of the content in described image information and the recommendation list
Breath is updated the content in the recommendation list, and updated recommendation list is shown, recommendation is further improved
The reasonability of content can better meet user demand.
Fig. 6 is the flow chart of another information recommendation method provided in an embodiment of the present invention, optionally, described according to
It includes: raw according to the characteristic information that characteristic information, the data operating record and the attribute information, which generate recommendation list,
At the information recommendation model with the user;According to the information recommendation model, the data operating record and the attribute
Information generates recommendation list.As shown in fig. 6, technical solution is specific as follows:
Step S601, the facial image of user is identified, determines the characteristic information of the user.
Step S602, the data operating record of the user and the attribute information of content to be recommended are obtained, according to described
Characteristic information generates and the information recommendation model of the user.
In one embodiment, by machine learning artificial intelligence technology, information is generated according to the characteristic information determined
Recommended models, the recommended models can be the model divided with different sexes, different age group, such as gender " male ", age
" 20-30 years old " one information recommendation model of correspondence, gender " female ", the age " 18-25 " year a corresponding information recommendation model, different letters
It ceases recommended models in use, corresponding output can be obtained according to different inputs.The information recommendation model can be by big
Data, artificial intelligence are calculated.
Step S603, it is pushed away according to the generation of the information recommendation model, the data operating record and the attribute information
Recommend list.
In one embodiment, the attribute information of data operating record and content to be recommended is input to the information recommendation mould
To automatically derive recommendation list in type.
Step S604, the content in the recommendation list is updated according to current context information, is pushed away updated
List is recommended to be shown.
It can be seen from the above, the information recommendation model with the user is generated according to the characteristic information, according to the information
Recommended models, the data operating record and the attribute information generate recommendation list, are integrated by big data, improve and push away
The reasonability of content is recommended, user demand can be better met.
Fig. 7 is a kind of structural block diagram of information recommending apparatus provided in an embodiment of the present invention, and the device is above-mentioned for executing
The information recommendation method that embodiment provides, has the corresponding functional module of execution method and beneficial effect.As shown in fig. 7, the dress
It sets and specifically includes: characteristic determination module 101, recommendation list determining module 102 and recommendation list update module 103, wherein
Characteristic determination module 101 is identified for the facial image to user, determines the characteristic information of the user;
Recommendation list determining module 102, for obtaining the data operating record of the user and the category of content to be recommended
Property information, according to the characteristic information, the data operating record and the attribute information generate recommendation list;
Recommendation list update module 103, for being carried out more according to current context information to the content in the recommendation list
Newly, updated recommendation list is shown.
By above scheme it is found that being identified by the facial image to user, determines the characteristic information of the user, obtain
The data operating record of the user and the attribute information of content to be recommended are taken, is grasped according to the characteristic information, the data
It notes down and the attribute information generates recommendation list, the content in the recommendation list is carried out according to current context information
It updates, the technical solution that updated recommendation list is shown improves the reasonability of recommendation, can preferably expire
Sufficient user demand.
In a possible embodiment, the characteristic determination module 101 is specifically used for:
The facial image of user is identified, determines gender, age and the facial characteristics of the user.
In a possible embodiment, the recommendation list determining module 102 is specifically used for:
The search data that the user inputs in search box are obtained, in the comment data and order purchase of comment box input
Record.
In a possible embodiment, the content to be recommended includes commodity to be recommended and/or service to be recommended, described
The attribute information of content to be recommended includes opinion rating and applicable information.
In a possible embodiment, the current context information includes current time, and the recommendation list updates mould
Block 103 is specifically used for:
Information is applicable in the content in the recommendation list according to the content in current time and the recommendation list
It is updated.
In a possible embodiment, the recommendation list update module 103 is specifically used for:
According to the applicable information of the content in described image information and the recommendation list in the recommendation list
Content is updated.
In a possible embodiment, the recommendation list determining module 102 is specifically used for:
The information recommendation model with the user is generated according to the characteristic information;
Recommendation list is generated according to the information recommendation model, the data operating record and the attribute information.
Fig. 8 is a kind of structural schematic diagram of equipment provided in an embodiment of the present invention, as shown in figure 8, the equipment includes processing
Device 201, memory 202, input unit 203 and output device 204;The quantity of processor 201 can be one or more in equipment
It is a, in Fig. 6 by taking a processor 201 as an example;Processor 201, memory 202, input unit 203 and output device in equipment
204 can be connected by bus or other modes, in Fig. 8 for being connected by bus.
Memory 202 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer
Sequence and module, such as the corresponding program instruction/module of the information recommendation method in the embodiment of the present invention.Processor 201 passes through fortune
Software program, instruction and the module that row is stored in memory 202, thereby executing the various function application and data of equipment
Processing, that is, realize above-mentioned information recommendation method.
Memory 202 can mainly include storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function;Storage data area, which can be stored, uses created data etc. according to terminal.This
Outside, memory 202 may include high-speed random access memory, can also include nonvolatile memory, for example, at least one
Disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, memory 202 can be into one
Step includes the memory remotely located relative to processor 201, these remote memories can pass through network connection to equipment.On
The example for stating network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 203 can be used for receiving the number or character information of input, and generate with the user setting of equipment with
And the related key signals input of function control.Output device 204 may include that display screen etc. shows equipment.
The embodiment of the present invention also provides a kind of storage medium comprising computer executable instructions, and the computer is executable
Instruction is used to execute a kind of information recommendation method when being executed by computer processor, this method comprises:
The facial image of user is identified, determines the characteristic information of the user;
Obtain the data operating record of the user and the attribute information of content to be recommended, according to the characteristic information,
The data operating record and the attribute information generate recommendation list;
The content in the recommendation list is updated according to current context information, updated recommendation list is carried out
It shows.
In a possible embodiment, the facial image to user identifies, determines the feature of the user
Information includes:
The facial image of user is identified, determines gender, age and the facial characteristics of the user.
In a possible embodiment, the data operating record for obtaining the user includes:
The search data that the user inputs in search box are obtained, in the comment data and order purchase of comment box input
Record.
In a possible embodiment, the content to be recommended includes commodity to be recommended and/or service to be recommended, described
The attribute information of content to be recommended includes opinion rating and applicable information.
In a possible embodiment, the current context information includes current time, described to be believed according to current environment
Breath, which is updated the content in the recommendation list, includes:
Information is applicable in the content in the recommendation list according to the content in current time and the recommendation list
It is updated.
In a possible embodiment, the current context information includes the image letter of user's local environment of acquisition
Breath, described be updated according to current context information to the content in the recommendation list include:
According to the applicable information of the content in described image information and the recommendation list in the recommendation list
Content is updated.
In a possible embodiment, described according to the characteristic information, the data operating record and the category
Property information generate recommendation list include:
The information recommendation model with the user is generated according to the characteristic information;
Recommendation list is generated according to the information recommendation model, the data operating record and the attribute information.
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present invention
The method operation that executable instruction is not limited to the described above, can also be performed letter provided by any embodiment of the embodiment of the present invention
Cease the relevant operation in recommended method.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
Embodiment can be realized by software and required common hardware, naturally it is also possible to by hardware realization, but in many cases before
Person is more preferably embodiment.Based on this understanding, the technical solution of the embodiment of the present invention is substantially in other words to existing skill
The part that art contributes can be embodied in the form of software products, which can store in computer
Floppy disk, read-only memory (Read-Only Memory, ROM), random access memory in readable storage medium storing program for executing, such as computer
(Random Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are used so that one
Computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment of the embodiment of the present invention
The method.
It is worth noting that, included each unit and module are only pressed in the embodiment of above- mentioned information recommendation apparatus
It is divided, but is not limited to the above division according to function logic, as long as corresponding functions can be realized;In addition,
The specific name of each functional unit is also only for convenience of distinguishing each other, and is not intended to restrict the invention the protection model of embodiment
It encloses.
Note that above are only the preferred embodiment and institute's application technology principle of the embodiment of the present invention.Those skilled in the art
It will be appreciated that the embodiment of the present invention is not limited to specific embodiment described here, it is able to carry out for a person skilled in the art each
The apparent variation of kind, readjustment and the protection scope substituted without departing from the embodiment of the present invention.Therefore, although more than passing through
Embodiment is described in further detail the embodiment of the present invention, but the embodiment of the present invention is not limited only to the above implementation
Example can also include more other equivalent embodiments in the case where not departing from design of the embodiment of the present invention, and the present invention is implemented
The range of example is determined by the scope of the appended claims.
Claims (10)
1. information recommendation method characterized by comprising
The facial image of user is identified, determines the characteristic information of the user;
The data operating record of the user and the attribute information of content to be recommended are obtained, according to the characteristic information, described
Data operating record and the attribute information generate recommendation list;
The content in the recommendation list is updated according to current context information, updated recommendation list is opened up
Show.
2. determining institute the method according to claim 1, wherein the facial image to user identifies
The characteristic information for stating user includes:
The facial image of user is identified, determines gender, age and the facial characteristics of the user.
3. the method according to claim 1, wherein the data operating record for obtaining the user includes:
The search data that the user inputs in search box are obtained, in the comment data and order purchase note of comment box input
Record.
4. the method according to claim 1, wherein the content to be recommended include commodity to be recommended and/or to
Recommendation service, the attribute information of the content to be recommended include opinion rating and applicable information.
5. according to the method described in claim 4, it is characterized in that, the current context information includes current time, described
The content in the recommendation list is updated according to current context information and includes:
The content in the recommendation list is carried out according to the information that is applicable in of the content in current time and the recommendation list
It updates.
6. according to the method described in claim 4, it is characterized in that, the current context information includes ring locating for the user of acquisition
The image information in border, described be updated according to current context information to the content in the recommendation list include:
Information is applicable in the content in the recommendation list according to the content in described image information and the recommendation list
It is updated.
7. method according to claim 1 to 6, which is characterized in that it is described according to the characteristic information, it is described
Data operating record and the attribute information generate recommendation list
The information recommendation model with the user is generated according to the characteristic information;
Recommendation list is generated according to the information recommendation model, the data operating record and the attribute information.
8. information recommending apparatus characterized by comprising
Characteristic determination module is identified for the facial image to user, determines the characteristic information of the user;
Recommendation list determining module, for obtaining the data operating record of the user and the attribute information of content to be recommended,
Recommendation list is generated according to the characteristic information, the data operating record and the attribute information;
Recommendation list update module will more for being updated according to current context information to the content in the recommendation list
Recommendation list after new is shown.
9. a kind of equipment, the equipment includes: one or more processors;Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are realized such as
Information recommendation method of any of claims 1-7.
10. a kind of storage medium comprising computer executable instructions, the computer executable instructions are by computer disposal
For executing such as information recommendation method of any of claims 1-7 when device executes.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910313149.8A CN110059250A (en) | 2019-04-18 | 2019-04-18 | Information recommendation method, device, equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910313149.8A CN110059250A (en) | 2019-04-18 | 2019-04-18 | Information recommendation method, device, equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110059250A true CN110059250A (en) | 2019-07-26 |
Family
ID=67319396
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910313149.8A Pending CN110059250A (en) | 2019-04-18 | 2019-04-18 | Information recommendation method, device, equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110059250A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110443686A (en) * | 2019-08-07 | 2019-11-12 | 陈乐乐 | Commercial product recommending system and method based on rubbish identification |
CN111738807A (en) * | 2020-07-23 | 2020-10-02 | 上海众旦信息科技有限公司 | Method, computing device, and computer storage medium for recommending target objects |
CN112307324A (en) * | 2020-03-04 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Information processing method, apparatus, device and medium |
CN112364259A (en) * | 2020-11-24 | 2021-02-12 | 深圳市元征科技股份有限公司 | Information recommendation method, device, equipment and medium |
CN112884423A (en) * | 2019-11-29 | 2021-06-01 | 北京国双科技有限公司 | Information processing method and device, electronic equipment and storage medium |
CN113643094A (en) * | 2021-08-06 | 2021-11-12 | 北京远舢智能科技有限公司 | Vending method and device based on user portrait and voice recognition technology, electronic equipment and storage medium |
CN113643096A (en) * | 2021-08-06 | 2021-11-12 | 北京远舢智能科技有限公司 | Commodity recommendation method and device based on user portrait, electronic equipment and computer readable storage medium |
CN114449312A (en) * | 2020-11-04 | 2022-05-06 | 深圳Tcl新技术有限公司 | Video playing control method and device, terminal equipment and storage medium |
CN117194794A (en) * | 2023-09-20 | 2023-12-08 | 江苏科技大学 | Information recommendation method and device, computer equipment and computer storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573619A (en) * | 2014-07-25 | 2015-04-29 | 北京智膜科技有限公司 | Method and system for analyzing big data of intelligent advertisements based on face identification |
CN104951077A (en) * | 2015-06-24 | 2015-09-30 | 百度在线网络技术(北京)有限公司 | Man-machine interaction method and device based on artificial intelligence and terminal equipment |
CN105005777A (en) * | 2015-07-30 | 2015-10-28 | 科大讯飞股份有限公司 | Face-based audio and video recommendation method and face-based audio and video recommendation system |
CN108037823A (en) * | 2017-11-30 | 2018-05-15 | 深圳云天励飞技术有限公司 | Information recommendation method, Intelligent mirror and computer-readable recording medium |
-
2019
- 2019-04-18 CN CN201910313149.8A patent/CN110059250A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573619A (en) * | 2014-07-25 | 2015-04-29 | 北京智膜科技有限公司 | Method and system for analyzing big data of intelligent advertisements based on face identification |
CN104951077A (en) * | 2015-06-24 | 2015-09-30 | 百度在线网络技术(北京)有限公司 | Man-machine interaction method and device based on artificial intelligence and terminal equipment |
CN105005777A (en) * | 2015-07-30 | 2015-10-28 | 科大讯飞股份有限公司 | Face-based audio and video recommendation method and face-based audio and video recommendation system |
CN108037823A (en) * | 2017-11-30 | 2018-05-15 | 深圳云天励飞技术有限公司 | Information recommendation method, Intelligent mirror and computer-readable recording medium |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110443686A (en) * | 2019-08-07 | 2019-11-12 | 陈乐乐 | Commercial product recommending system and method based on rubbish identification |
CN112884423A (en) * | 2019-11-29 | 2021-06-01 | 北京国双科技有限公司 | Information processing method and device, electronic equipment and storage medium |
CN112307324A (en) * | 2020-03-04 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Information processing method, apparatus, device and medium |
CN111738807A (en) * | 2020-07-23 | 2020-10-02 | 上海众旦信息科技有限公司 | Method, computing device, and computer storage medium for recommending target objects |
CN111738807B (en) * | 2020-07-23 | 2020-11-27 | 上海众旦信息科技有限公司 | Method, computing device, and computer storage medium for recommending target objects |
CN114449312A (en) * | 2020-11-04 | 2022-05-06 | 深圳Tcl新技术有限公司 | Video playing control method and device, terminal equipment and storage medium |
CN112364259A (en) * | 2020-11-24 | 2021-02-12 | 深圳市元征科技股份有限公司 | Information recommendation method, device, equipment and medium |
CN113643094A (en) * | 2021-08-06 | 2021-11-12 | 北京远舢智能科技有限公司 | Vending method and device based on user portrait and voice recognition technology, electronic equipment and storage medium |
CN113643096A (en) * | 2021-08-06 | 2021-11-12 | 北京远舢智能科技有限公司 | Commodity recommendation method and device based on user portrait, electronic equipment and computer readable storage medium |
CN117194794A (en) * | 2023-09-20 | 2023-12-08 | 江苏科技大学 | Information recommendation method and device, computer equipment and computer storage medium |
CN117194794B (en) * | 2023-09-20 | 2024-03-26 | 江苏科技大学 | Information recommendation method and device, computer equipment and computer storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110059250A (en) | Information recommendation method, device, equipment and storage medium | |
CN108509465B (en) | Video data recommendation method and device and server | |
Carty | Parties as franchise systems: The stratarchical organizational imperative | |
CN110582762A (en) | Automatic response server device, terminal device, response system, response method, and program | |
CN103377262B (en) | The method and apparatus being grouped to user | |
CN111625632A (en) | Question-answer pair recommendation method, device, equipment and storage medium | |
CN107656969A (en) | A kind of information recommendation method and device | |
CN108536852A (en) | Question and answer exchange method and device, computer equipment and computer readable storage medium | |
CN103886081A (en) | Information sending method and system | |
CN109885761A (en) | A kind of position of human resources enterprise and talent's matching and recommended method | |
CN109783539A (en) | Usage mining and its model building method, device and computer equipment | |
CN107274257A (en) | Method and device is recommended in a kind of hotel service | |
CN109064265A (en) | Purchase vehicle recommended method and system based on the network platform | |
CN110046230A (en) | Generate the method for recommending words art set, the method and apparatus for recommending words art | |
CN107015976A (en) | Method for processing business, data processing method and device | |
CN108319646A (en) | Vehicle source searching method and device based on user's history behavior | |
CN104537552A (en) | Information recommendation method and device implemented through computer | |
CN112434501A (en) | Work order intelligent generation method and device, electronic equipment and medium | |
Wang et al. | Multifunctional product marketing using social media based on the variable-scale clustering | |
KR101345119B1 (en) | System and method for generating and diagonizing image concept identity code, and system for providing information and method for providing services thereof | |
CN108694211A (en) | Using distribution method and device | |
CN106294361B (en) | Information providing method and information providing system | |
CN109978624A (en) | Information processing method, electronic equipment and computer readable storage medium | |
CN110717095B (en) | Service item pushing method and device | |
CN103210413A (en) | Method and apparatus for generating community |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190726 |
|
RJ01 | Rejection of invention patent application after publication |