CN110222219A - A kind of interactive image recommendation method, apparatus, computer equipment and storage medium - Google Patents
A kind of interactive image recommendation method, apparatus, computer equipment and storage medium Download PDFInfo
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- CN110222219A CN110222219A CN201910362514.4A CN201910362514A CN110222219A CN 110222219 A CN110222219 A CN 110222219A CN 201910362514 A CN201910362514 A CN 201910362514A CN 110222219 A CN110222219 A CN 110222219A
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/535—Filtering based on additional data, e.g. user or group profiles
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
Abstract
The present invention provides a kind of interactive image recommendation method, apparatus, computer equipment and storage medium.Wherein, a kind of interactive image recommendation method, comprising the following steps: generate and include the first image group of multiple images and be presented the first image group to user；Receive evaluation of the user for the image in the first image group；The second image group is generated based on the evaluation.Interactive image recommendation method, apparatus, computer equipment and storage medium according to the present invention can improve the degree of correlation and accuracy of image recommendation, promote user satisfaction.
Description
Technical field
The present invention relates to computer internet technical field, in particular to a kind of interactive image recommendation method, apparatus, meter
Calculate machine equipment and storage medium.
Background technique
With the development of computer internet technology, the amount of computer picture resource is sharply increased, how from numerous images
In find user needs image, become a problem of this field.
In addition, LOGO is the foreign language abbreviation of logo (or trade mark), commonly use for Corporate Identity and popularization.User is producing
In experience activity, especially SME users are when founding enterprise, it is often necessary to design a LOGO for enterprise, or combine
The development of enterprise is modified or is changed to LOGO.LOGO design usually requires to seek the help of Specialty Design teacher, design cost
It is higher, and the design cycle is longer.
Therefore, image (especially LOGO) suggested design for how finding a kind of low-cost high-efficiency, becomes this field urgently
Problem to be solved.
Information disclosed in background technology part is intended merely to reinforce to be not construed as holding to the understanding of general background of the invention
Recognize or default this information and constitutes the prior art well known by persons skilled in the art.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of interactive image recommendation method, the interactive image recommendation
Method includes the first image group of multiple images and is presented the first image group to user the following steps are included: generating；It connects
Receive evaluation of the user for the image in the first image group；The second image group is generated based on the evaluation.
Preferably, described image is the logo LOGO for Corporate Identity and popularization.
Preferably, image has a variety of attributes, and the evaluation includes for the multiple images in the first image group
Multiple scorings, generating the second image group based on the evaluation includes: to calculate pre-set image number based on a variety of attributes and multiple scorings
The second image group is generated according to image in library and the similarity for being evaluated image, and based on the similarity.
Preferably, image has a variety of attributes, and the evaluation includes for the multiple images in the first image group
Multiple scorings, the multiple scoring include positive scoring and negative scoring, and generating the second image group based on the evaluation includes: based on more
Attribute and positive scoring and negative scoring calculate image and the similarity and repulsion that are evaluated image in pre-set image database
Degree, and the second image group is generated based on the similarity and the repulsion degree.
Preferably, the attribute of image includes one of shape, color, size of image or a variety of.
In addition, the present invention provides a kind of interactive image recommendation device, the interactive image recommendation device includes: first
Generation module, for generating the first image group including multiple images and being presented the first image group to user；Receive mould
Block, for receiving evaluation of the user for the image in the first image group；Second generation module, for being based on the evaluation
Generate the second image group.
Preferably, described image is the logo LOGO for Corporate Identity and popularization.
In addition, the present invention provides a kind of computer equipment, which is characterized in that the computer equipment includes processor and deposits
Reservoir, the memory refer to for storing computer instruction, the computer that the processor is used to run the memory storage
It enables, to realize interactive image recommendation method described above.
In addition, the present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has journey
Sequence, described program can be executed by one or more processors, to realize interactive image recommendation method described above.
In accordance with the invention it is possible to which the beneficial effect realized includes: to improve the matching degree of image recommendation and user demand, mention
The efficiency that hi-vision is recommended.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present invention, and of the invention shows
Examples and descriptions thereof are used to explain the present invention for meaning property, does not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of interactive image recommendation method according to an embodiment of the present invention.
Fig. 2 is the structure chart of interactive image recommendation device according to an embodiment of the present invention.
In order to clearly be described, it is omitted and part of the technology of the present invention essence without substantial connection；Also, illustrating
In book and attached drawing, the same or similar element is indicated by the same numbers.It should be understood that in order to illustrate base of the invention
Present principles and each feature, attached drawing present it is a degree of it is simplified indicate, what the scope of the present invention was not limited to indicate in attached drawing
Concrete form.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Below
Description only actually at least one exemplary embodiment be it is illustrative, never as to the present invention and its application or make
Any restrictions.Based on the embodiments of the present invention, those of ordinary skill in the art are not under the premise of making creative work
Every other embodiment obtained, shall fall within the protection scope of the present invention.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.Unless specifically stated otherwise, the component and step otherwise illustrated in these embodiments
Positioned opposite, numerical expression and numerical value do not limit the scope of the invention.It should also be noted that similar label and letter are below
Attached drawing in indicate similar terms, therefore, once being defined in a certain Xiang Yi attached drawing, then do not needed in subsequent attached drawing pair
It is further discussed.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although operations are described as the processing of sequence by flow chart, therein to be permitted
Multioperation can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be rearranged.When it
The processing can be terminated when operation completion, it is also possible to have the additional step being not included in attached drawing.The processing
It can correspond to method, function, regulation, subroutine, subprogram etc..
Alleged " computer equipment " within a context, also referred to as " computer ", referring to can be by running preset program or referring to
Enable to execute numerical value and calculate and/or the intelligent electronic device of the predetermined process process such as logic calculation, may include processor with
Memory executes the survival prestored in memory instruction by processor to execute predetermined process process, or by ASIC,
The hardware such as FPGA, DSP execute predetermined process process, or are realized by said two devices combination.Computer equipment includes but unlimited
In server, PC, laptop, tablet computer, smart phone etc..
The computer equipment includes user equipment and the network equipment.Wherein, the user equipment includes but is not limited to electricity
Brain, smart phone, PDA etc.；The network equipment includes but is not limited to that single network server, multiple network servers form
Server group or cloud consisting of a large number of computers or network servers based on cloud computing, wherein cloud computing is distributed meter
One kind of calculation, a super virtual computer consisting of a loosely coupled set of computers.Wherein, the computer equipment
Can isolated operation realize the present invention, also can access network and by interactive operation with other computer equipments in network come
Realize the present invention.Wherein, network locating for the computer equipment includes but is not limited to internet, wide area network, Metropolitan Area Network (MAN), local
Net, VPN network etc..
It should be noted that the user equipment, the network equipment and network etc. are only for example, other are existing or from now on may be used
The computer equipment or network that can occur such as are applicable to the present invention, should also be included within the scope of protection of the present invention, and to draw
It is incorporated herein with mode.
Method (some of them are illustrated by process) discussed hereafter can be by hardware, software, firmware, centre
Part, microcode, hardware description language or any combination thereof are implemented.Implement when with software, firmware, middleware or microcode
When, program code or code segment to implement necessary task can be stored in machine or computer-readable medium and (for example deposit
Storage media) in.Necessary task can be implemented in processor.
Although it should be understood that may have been used term " first ", " second " etc. herein to describe each unit,
But these units should not be limited by these terms.The use of these items is only for by a unit and another unit
It distinguishes.For example, without departing substantially from the range of exemplary embodiment, it is single that first unit can be referred to as second
Member, and similarly second unit can be referred to as first unit.Term "and/or" used herein above include one of them or
Any and all combinations of more listed associated items.
It should further be mentioned that the function action being previously mentioned can be attached according to being different from some replace implementations
The sequence indicated in figure occurs.For example, related function action is depended on, the two width figures shown in succession actually may be used
Substantially simultaneously to execute or can execute in a reverse order sometimes.
The embodiment of the present invention provides a kind of interactive image recommendation method, the customer information intelligence input method packet
It includes following steps: generating and include the first image group of multiple images and be presented the first image group to user；Receive user
Evaluation for the image in the first image group；The second image group is generated based on the evaluation.
Fig. 1 is the flow chart of interactive image recommendation method according to an embodiment of the present invention.As shown in Figure 1, the present invention is real
It applies example and provides a kind of interactive image recommendation method, comprising the following steps:
S10: it generates the first image group and presents to user；
S20: user's evaluation is received；
S30: the second image group is generated based on evaluation.
According to an embodiment of the invention, interactive image recommendation method can be applied to various computer installations or similar meter
The terminal of calculation machine device, computer installation, smart phone, tablet computer for example including display etc..
Below for including the computer system of mouse, keyboard, display etc., the embodiment of the present invention is retouched
It states.It should be appreciated by those skilled in the art that it is suitable for other terminals or device.
The object that the method for the embodiment of the present invention is directed to is, for example, the user for being intended to one LOGO of design when founding enterprise.
In step slo, the first image group including multiple images is generated for user in computer system, and over the display
It presents.Preferably, computer system selects multiple LOGO, and over the display by random algorithm from presetting database
It is presented to the user, these LOGO are related to different shapes, color, size etc..
In step S20, computer system receives evaluation of the user for the image in the first image group, for example, this
Evaluation can be scoring of the user for image, and the specific number that this scoring e.g. user is inputted by keyboard is (for example, 1
Point, 2 points etc.) user passes through any skill of the existing or future exploitation in this field by the selection of mouse or user
It is that art means carry out the image that is presented, it will be appreciated that be scored image, preference, evaluation, selection, classification etc. appoint
What is acted.Example about scoring is described below.
In step s 30, computer system learns evaluation, generates the second image group based on evaluation, is presented to use
Family.For example, computer system carries out inductive learning to user's evaluation, acquisition and the associated attribute of user's evaluation, relationship etc. come into
Row characterization is calculated, concludes and is exported.It will be understood by those skilled in the art that according to practical application scene, study here can be with
Algorithm, strategy, model using the known in the art or following exploitation etc. carry out.Example about the second image group of generation is below
It is described in detail.
According to the needs of practical application scene, the second image group can not include the image in the first image group, can also be with
Including the image in the first image group.
According to practical application scene, interactive image recommendation method of the invention can be carried out repeatedly, by repeatedly carrying out
Evaluation, study and recommendation push away so that the image in the image group generated more meets the preference or expectation of user so as to improve image
The degree of correlation and accuracy recommended promote user satisfaction.
According to an embodiment of the invention, image has a variety of attributes, such as shape mentioned above, color, size etc..With
Family is for multiple scorings that the evaluation of the image in the first image group includes for multiple images.For example, computer system passes through
Random algorithm, three LOGO are selected from presetting database, and (number is 1#, 2#, 3#) respectively, and is presented to the user.Here it lists
Specific number be example, be not construed as limiting the invention.Each LOGO has three attribute, respectively shape,
Color, size.
User scores to these three LOGO by input unit, and 1#LOGO scoring is 1 point, and 2#LOGO scoring is 2 points,
3#LOGO scoring is 3 points.So, based on three attribute and three scorings, other figures in pre-set image database can be calculated
The second image group is generated as (that is, other LOGO) and the similarity for being evaluated LOGO, and based on similarity, such as is selected default
The highest image of similarity (i.e. LOGO) Lai Shengcheng the second image group in image data base.The quantity of LOGO can in second image group
To need to set according to realization, in the examples described above, since the first image group includes three LOGO, the second image group can also be with one
Causing ground includes three LOGO.In addition, as described above, the second image group can not include the LOGO in the first image group, that is, mention
For new LOGO to user；Second image group also may include the LOGO in the first image group, such as retain the highest LOGO that scores,
For comparison.
It can be using known in the art or following open according to an embodiment of the invention, calculating similarity between multiple LOGO
Any proper technology means of hair.For example, the example continued the above, 1#LOGO scoring is 1 point, and 2#LOGO scoring is 2 points, 3#
LOGO scoring is 3 points.In this case, it is 3 points that three attribute of 3#LOGO, i.e. shape, color, size, which can score,；
It is 2 points that three attribute of 2#LOGO, which can score, and it is 1 point that three attribute of 1#LOGO, which can score,.Certainly, this field skill
Art personnel be appreciated that can also according to user for the cognition of LOGO, focus, LOGO application scenarios and field etc., for
Different weights is arranged in the attribute of LOGO.Then, for the LOGO in pre-set image database, the scoring thirdly attribute is calculated
The sum of, as with the similarity that is evaluated LOGO, that is, this and closer to the sum of high scoring LOGO (3#LOGO) three attribute (9
Point), illustrate that the similarity of this LOGO and 3#LOGO are higher.It can be by the sequence of similarity from high to low, from pre-set image number
According to three LOGO are selected/recommended in library, as the second image group, and it is presented to the user.Due to the LOGO in the second image group
Closely similar for the LOGO of high score with user's evaluation, the LOGO in the second image group more meets the preference or expectation of user, thus
The degree of correlation and accuracy of image recommendation are improved, user satisfaction is promoted.
Above-described read group total degree of approach technological means is example, it may occur to persons skilled in the art that using it
His technological means, such as various models (KNN model etc.) is used using machine learning, to be handled user's evaluation and be based on
The result of processing generates the second image group, these are within the scope of the present invention.
According to an embodiment of the invention, image has a variety of attributes, such as shape mentioned above, color, size etc..With
Family is for multiple scorings that the evaluation of the image in the first image group includes for the multiple images in the first image group, wherein
Multiple scorings may include positive scoring and negative scoring.Similar to example above, computer system is by random algorithm, from pre-
If selecting three LOGO in database, (number is 1#, 2#, 3#) respectively, and is presented to the user.Each LOGO has three kinds
Property, respectively shape, color, size.
User scores to these three LOGO by input unit, and 1#LOGO scoring is 1 point, and 2#LOGO scoring is 2 points,
3#LOGO scoring is -1 point.So, based on three attribute and three scorings, other figures in pre-set image database can be calculated
The second figure is generated as (that is, other LOGO) and the similarity and repulsion degree that are evaluated LOGO, and based on similarity and repulsion degree
As group.The quantity of LOGO can consistently include three in second image group.
According to an embodiment of the invention, calculate similarity between multiple LOGO and repulsion degree can use it is known in the art
Or any proper technology means of the following exploitation.For example, it is similar as above, it is identical or different using the attribute setting for LOGO
Weight, then calculate the scoring and/or scoring weighted sum of its attribute, this and closer to the sum of high scoring LOGO attribute, explanation
The similarity of LOGO and high scoring LOGO are higher.Furthermore it is possible to based on it is negative scoring calculate pre-set image database in LOGO with
It is evaluated the repulsion degree of LOGO.For example, 3#LOGO scoring is -1 point, then these three attributes of its shape, color, size can be commented
It is divided into -1 point.Then, for the LOGO in pre-set image database, calculate the sum of the negative scoring thirdly attribute, as with quilt
Evaluate the repulsion degree of LOGO.The calculating and processing of negative scoring can be independently of positive scorings.For example, can be from pre-set image database
The middle LOGO for excluding the sum of negative scoring and being -3.According to practical application scene, any row can be excluded from pre-set image database
The LOGO of reprimand degree.
It in conjunction with negative scoring and repulsion degree, can further improve the degree of correlation and accuracy of image recommendation, it is full to promote user
Meaning degree.
It should be appreciated by those skilled in the art that used here as different shape, color, size LOGO to the embodiment of the present invention
It is described, but does not constitute to improper restriction of the invention；In other words, the present disclosure applies equally to the figures with different attribute
The interactive recommendation of picture.
Fig. 2 is the structure chart of interactive image recommendation device according to an embodiment of the present invention.As shown in Fig. 2, the present invention is real
It applies example and provides a kind of interactive image recommendation device 100, which includes:
First generation module 110 includes the first image group of multiple images and by the first image group is in for generating
Now to user；
Receiving module 120, for receiving evaluation of the user for the image in the first image group；
Second generation module 130, for generating the second image group based on the evaluation.
Similar to above-described interactive image recommendation method, according to an embodiment of the invention, image is for enterprise
Identification and the logo LOGO promoted.
According to an embodiment of the invention, image has a variety of attributes, the evaluation includes in the first image group
Multiple images multiple scorings, generating the second image group based on the evaluation includes: the meter based on a variety of attributes and multiple scorings
Image and the similarity for being evaluated image in pre-set image database are calculated, and the second image group is generated based on the similarity.
In addition, the evaluation includes being directed to the first image according to an embodiment of the invention, image has a variety of attributes
Multiple scorings of multiple images in group, the multiple scoring include positive scoring and negative scoring, generate second based on the evaluation
Image group includes: to be calculated image in pre-set image database based on a variety of attributes and positive scoring and negative scoring and be evaluated figure
The similarity and repulsion degree of picture, and the second image group is generated based on the similarity and the repulsion degree.
Evaluation and it image generated based on evaluation can refer to retouching for the embodiment for interactive image recommendation method above
It states.
Interactive image recommendation device according to an embodiment of the present invention can improve the degree of correlation of image recommendation and accurate
Degree promotes user satisfaction.
The embodiments of the present invention also provide a kind of computer equipments, including processor and memory；The memory is used
In storage computer instruction, the processor is used to run the computer instruction of the memory storage, to realize above-mentioned one
The interactive image recommendation method of kind.
Scheme involved in the computer equipment of the embodiment of the present invention and realization principle specifically can be with reference to above for mutual
The description of the embodiment of dynamic formula image recommendation method, details are not described herein.
The embodiments of the present invention also provide a kind of computer readable storage medium, the computer readable storage medium is deposited
One or more program is contained, one or more of programs can be executed by one or more processor, on realizing
A kind of interactive image recommendation method stated.
Scheme involved in computer readable storage medium in the embodiment of the present invention and realization principle can specifically refer to
Above for the description of the embodiment of interactive image recommendation method, details are not described herein.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in storage medium (such as
ROM/RAM, magnetic disk, CD) in, including some instructions are used so that terminal (can be mobile phone, tablet computer, computer,
Server or the network equipment etc.) execute method described in each embodiment of the present invention.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of interactive image recommendation method, which is characterized in that the interactive image recommendation method the following steps are included:
It generates and includes the first image group of multiple images and be presented the first image group to user；
Receive evaluation of the user for the image in the first image group；
The second image group is generated based on the evaluation.
2. interactive image recommendation method according to claim 1, which is characterized in that described image is for Corporate Identity
With the logo LOGO of popularization.
3. interactive image recommendation method according to claim 1, which is characterized in that image has a variety of attributes, described
Evaluation includes multiple scorings for the multiple images in the first image group, generates the second image group packet based on the evaluation
It includes: based on a variety of attributes and multiple scorings, calculating image and the similarity for being evaluated image in pre-set image database, and base
The second image group is generated in the similarity.
4. interactive image recommendation method according to claim 1, which is characterized in that image has a variety of attributes, described
Evaluation includes the multiple scorings for the multiple images being directed in the first image group, and the multiple scoring includes just scoring and bearing to comment
Point, generating the second image group based on the evaluation includes: to calculate pre-set image based on a variety of attributes and positive scoring and negative scoring
In database image be evaluated the similarity and repulsions degree of image, and be based on the similarity and repulsion degree generation the
Two image groups.
5. interactive image recommendation method according to claim 3 or 4, which is characterized in that the attribute of image includes image
Shape, color, one of size or a variety of.
6. a kind of interactive image recommendation device, which is characterized in that the interactive image recommendation device includes:
First generation module, for generating the first image group including multiple images and being presented the first image group to use
Family；
Receiving module, for receiving evaluation of the user for the image in the first image group；
Second generation module, for generating the second image group based on the evaluation.
7. interactive image recommendation device according to claim 6, which is characterized in that described image is for Corporate Identity
With the logo LOGO of popularization.
8. a kind of computer equipment, which is characterized in that including processor and memory；
The memory refers to for storing computer instruction, the computer that the processor is used to run the memory storage
It enables, to realize interactive image recommendation method described in any one of claims 1 to 5.
9. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
Multiple programs, one or more of programs are executed by one or more processor, are appointed with realizing in claim 1 to 5
Interactive image recommendation method described in one.
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