CN110069654A - Source of houses searching method, device, equipment and computer readable storage medium - Google Patents
Source of houses searching method, device, equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN110069654A CN110069654A CN201910202633.3A CN201910202633A CN110069654A CN 110069654 A CN110069654 A CN 110069654A CN 201910202633 A CN201910202633 A CN 201910202633A CN 110069654 A CN110069654 A CN 110069654A
- Authority
- CN
- China
- Prior art keywords
- source
- houses
- picture
- recommendation
- alternative
- 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 49
- 238000000605 extraction Methods 0.000 claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 230000006870 function Effects 0.000 claims description 14
- 239000013598 vector Substances 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 10
- 238000005070 sampling Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 230000008569 process Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 239000011159 matrix material Substances 0.000 description 3
- 230000001568 sexual effect Effects 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- HUTDUHSNJYTCAR-UHFFFAOYSA-N ancymidol Chemical compound C1=CC(OC)=CC=C1C(O)(C=1C=NC=NC=1)C1CC1 HUTDUHSNJYTCAR-UHFFFAOYSA-N 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000004925 denaturation Methods 0.000 description 1
- 230000036425 denaturation Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012886 linear function Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000012360 testing method Methods 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
- G06F16/50—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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to field of image detection, a kind of source of houses searching method, device, equipment and computer readable storage medium are provided, this method comprises: obtaining demand source of houses picture when receiving the source of houses search instruction of search terminal transmission；Feature extraction is carried out to the demand source of houses picture based on Scale invariant features transform model, obtains source of houses picture feature；Source of houses retrieval is carried out in default source of houses library according to the source of houses picture feature, the alternative source of houses is determined, and obtain alternative source of houses picture, wherein the alternative source of houses includes more than two sample sources of houses；Each alternative source of houses picture is ranked up based on predetermined order model, and is determined according to picture ranking results and recommends the source of houses and source of houses recommendation order；The recommendation information of real estate for recommending the source of houses is obtained, and the recommendation information of real estate is sent to by described search terminal based on the source of houses recommendation order.The present invention can receive user and provide source of houses picture, and realize to scheme to search room, improve the usage experience of user.
Description
Technical field
The present invention relates to field of image detection more particularly to a kind of source of houses searching method, device, equipment and computer-readable
Storage medium.
Background technique
With the continuous development of society, the side that the service selling room Yu renting a house is passed through internet by more and more house property mediums
Formula is promoted, and when tenant or house purchaser are intended to search wait lease or when house to be vended, can pass through house property medium operation
House property site search information of real estate and rented a house or bought house.
User is in the enterprising having sexual intercourse source information search in house property medium website at present, it usually needs relies on source of houses address, price
Etc. factors carry out source of houses search；But when user only has the picture of some source of houses can not be in house property when not knowing the title of the source of houses but
The information of real estate is found when intermediary web site, this is just that user brings inconvenience.
Summary of the invention
The main purpose of the present invention is to provide a kind of source of houses searching method, device, equipment and computer-readable storage mediums
Matter, it is intended to which solution can not be by source of houses picture come the technical issues of searching for the source of houses.
To achieve the above object, the present invention provides a kind of source of houses searching method, and the source of houses searching method includes:
When receiving the source of houses search instruction of search terminal transmission, the demand source of houses is obtained according to the source of houses search instruction
Picture；
Feature extraction is carried out to the demand source of houses picture based on Scale invariant features transform model, obtains the corresponding source of houses
Picture feature；
Source of houses retrieval, the determining and demand source of houses picture are carried out in default source of houses library according to the source of houses picture feature
The corresponding alternative source of houses, and the alternative source of houses picture of the alternative source of houses is obtained, wherein the alternative source of houses includes two or more
The sample source of houses；
Each alternative source of houses picture is ranked up based on predetermined order model, and according to picture ranking results described alternative
It is determined in the source of houses and recommends the source of houses and source of houses recommendation order；
The recommendation information of real estate for recommending the source of houses is obtained, and is believed the recommendation source of houses based on the source of houses recommendation order
Breath is sent to described search terminal.
In addition, to achieve the above object, the present invention also provides a kind of source of houses searcher, the source of houses searcher packet
It includes:
Picture obtains module, for being searched according to the source of houses when receiving the source of houses search instruction of search terminal transmission
Suo Zhiling obtains demand source of houses picture；
Characteristic extracting module is mentioned for carrying out feature to the demand source of houses picture based on Scale invariant features transform model
It takes, obtains corresponding source of houses picture feature；
Source of houses retrieval module is determined for carrying out source of houses retrieval in default source of houses library according to the source of houses picture feature
The alternative source of houses corresponding with the demand source of houses picture, and the alternative source of houses picture of the alternative source of houses is obtained, wherein described standby
Selecting the source of houses includes more than two sample sources of houses；
Source of houses sorting module, for being ranked up based on predetermined order model to each alternative source of houses picture, and according to picture
Ranking results determine in the alternative source of houses recommends the source of houses and source of houses recommendation order；
First sending module, for obtaining the recommendation information of real estate for recommending the source of houses, and it is suitable based on source of houses recommendation
The recommendation information of real estate is sent to described search terminal by sequence.
In addition, to achieve the above object, the present invention also provides a kind of sources of houses to search for equipment, the source of houses search equipment includes
Processor, memory and it is stored in the source of houses search program that can be executed on the memory and by the processor, wherein institute
When stating source of houses search program and being executed by the processor, realize such as the step of above-mentioned source of houses searching method.
In addition, to achieve the above object, the present invention also provides a kind of storage medium, being stored with the source of houses on the storage medium
Search program, wherein realizing when the source of houses search program is executed by processor such as the step of above-mentioned source of houses searching method.
The present invention can receive user and provide source of houses picture, and carry out feature extraction to the source of houses picture, then according to extraction
Feature source of houses search is carried out in known source of houses library, finally return that associated recommendation information of real estate, thus solve currently have to
Input specific source of houses position or title just can be carried out the pain spot of source of houses retrieval, facilitate user when not knowing source of houses specifying information into
The search of having sexual intercourse source, improves the usage experience of user；It is the mode based on Scale invariant features transform when carrying out feature extraction
It carries out, is conducive to the accuracy for improving feature extraction and source of houses retrieval.
Detailed description of the invention
Fig. 1 is the hardware structural diagram that the source of houses involved in the embodiment of the present invention searches for equipment；
Fig. 2 is the flow diagram of source of houses searching method first embodiment of the present invention；
Fig. 3 is the functional block diagram of source of houses searcher first embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present embodiments relate to source of houses searching method be mainly used in the source of houses search equipment, the source of houses search for equipment can
Being realized by equipment having data processing function such as personal computer (personal computer, PC), servers.
Referring to Fig.1, Fig. 1 is the hardware structural diagram that the source of houses involved in the embodiment of the present invention searches for equipment.This
In inventive embodiments, source of houses search equipment may include (such as the central processing unit Central of processor 1001
Processing Unit, CPU), communication bus 1002, user interface 1003, network interface 1004, memory 1005.Wherein,
Communication bus 1002 is for realizing the connection communication between these components；User interface 1003 may include display screen
(Display), input unit such as keyboard (Keyboard)；Network interface 1004 optionally may include that the wired of standard connects
Mouth, wireless interface (such as Wireless Fidelity WIreless-FIdelity, WI-FI interface)；Memory 1005 can be high speed and deposit at random
Access to memory (random access memory, RAM), is also possible to stable memory (non-volatile memory),
Such as magnetic disk storage, memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.This field
Technical staff is appreciated that hardware configuration shown in Fig. 1 and does not constitute a limitation of the invention, and may include more than illustrating
Or less component, perhaps combine certain components or different component layouts.
With continued reference to Fig. 1, the memory 1005 in Fig. 1 as a kind of computer readable storage medium may include operation system
System, network communication module and source of houses search program.In Fig. 1, network communication module is mainly used for connecting database, with data
Library carries out data communication；And processor 1001 can call the source of houses search program stored in memory 1005, and execute this hair
The source of houses searching method that bright embodiment provides.
The embodiment of the invention provides a kind of source of houses searching methods.
It is the flow diagram of source of houses searching method first embodiment of the present invention referring to Fig. 2, Fig. 2.
In the present embodiment, the source of houses searching method the following steps are included:
Step S10 is obtained when receiving the source of houses search instruction of search terminal transmission according to the source of houses search instruction
Demand source of houses picture；
With the continuous development of society, the side that the service selling room Yu renting a house is passed through internet by more and more house property mediums
Formula is promoted, and when tenant or house purchaser are intended to search wait lease or when house to be vended, can pass through house property medium operation
House property site search information of real estate and rented a house or bought house.User searches in the enterprising having sexual intercourse source information in house property medium website at present
Suo Shi, it usually needs carry out source of houses search by factors such as source of houses address, prices；But work as the picture that user only has some source of houses,
When not knowing the title of the source of houses but, the information of real estate can not be found at house property medium website, this is just that user brings not
Just.In this regard, proposing a kind of source of houses searching method in the present embodiment, it can receive user and source of houses picture be provided, and to the source of houses picture
Feature extraction is carried out, source of houses search is then carried out in known source of houses library according to the feature of extraction, finally returns that associated recommendation room
Source information facilitates use so that solution currently has to input specific source of houses position or title just can be carried out the pain spot of source of houses retrieval
Family carries out source of houses search when not knowing source of houses specifying information, improves the usage experience of user.
The source of houses searching method of the present embodiment be by the source of houses search equipment realize, the equipment by taking search server as an example into
Row explanation.In the present embodiment, when user (such as client, staff) needs to search for corresponding source of houses letter by way of picture
It when breath, can be operated in search terminal, from the local source of houses picture for uploading or specifying certain to throw the net on network as demand source of houses figure
Piece, and trigger source of houses searching request；Wherein, which can be personal computer PC, mobile phone, tablet computer etc..Search
Terminal can send corresponding source of houses search instruction to search server, which searches when receiving the source of houses searching request
It include the network storage address from the demand source of houses picture locally uploaded or the demand source of houses picture in Suo Zhiling.When search takes
When business device receives the source of houses search instruction of search terminal transmission, the need for needing to identify can be obtained according to the source of houses search instruction
Seek source of houses picture.
It is worth noting that in order to further increase the efficiency and source of houses effectiveness of retrieval of subsequent picture processing, it is right
In the source of houses picture that user uploads, the picture attributes such as its photo resolution, dimension of picture, file format can be required；
Search server first detects whether the demand source of houses picture meets the requirements when getting demand source of houses picture, if not satisfied, then
It can be returned to search terminal and upload prompt again, to prompt user to upload source of houses picture again；If satisfied, then carrying out next processing
Step.
Step S20 carries out feature extraction, acquisition pair to the demand source of houses picture based on Scale invariant features transform model
The source of houses picture feature answered；
In the present embodiment, search server, can be according to the actual situation to the demand when getting the demand source of houses picture
Source of houses picture is pre-processed, such as the unification of dimension of picture, pixel value normalize (such as linear function normalization, logarithmic function
Normalization) etc., naturally it is also possible to without pretreatment；Then feature will be carried out to the demand source of houses picture in advance based on one to mention
It takes, obtains corresponding source of houses picture feature；Wherein, it is contemplated that different house properties, near natural environment, building etc. also have
It is distinguished, and the features such as these natural environments, building also can be used as a clue of source of houses retrieval, in this regard, institute in the present embodiment
Extracting obtained source of houses picture feature may include source of houses body feature (source of houses itself) and non-source of houses body feature, wherein non-room
Source body feature includes environmental characteristic (such as tree, lawn), adjacent building (such as next door cell, electric pole, terrestrial reference) feature.When
So, the source of houses picture uploaded for user, the non-source of houses body feature extracted may only include one kind among the above, such as
Only include trees environmental characteristic.
In the present embodiment, it is contemplated that user is when shooting source of houses picture, due to the shadow of the factors such as shooting angle or light
It rings, the same source of houses may shoot a variety of various forms of source of houses pictures, in order to guarantee to the various forms of need of the same source of houses
The identification accuracy for seeking source of houses picture can be when carrying out feature extraction to demand source of houses picture based on scale invariant feature
What transformation model carried out.The Scale invariant features transform model is based on Scale invariant features transform sift algorithm (Scale-
Invariant feature transform, SIFT) it is constructed, extracted image local feature (sitf feature) is right
Rotation, scaling, brightness change etc. can keep it from denaturation, be a kind of highly stable local feature.
Specifically, the step S20 includes:
The graphical rule space of the demand source of houses picture is constructed by gaussian kernel function；
When carrying out feature extraction to demand source of houses picture based on Scale invariant features transform model, it is necessary first to which construction should
The graphical rule space of demand source of houses picture, the graphical rule space be regarded as the demand source of houses different shooting scales (distance,
Angle etc.) under image collection；For the graphical rule space of the demand source of houses picture, can be through gaussian kernel function to need
It asks source of houses picture to carry out convolution algorithm to obtain, namely
L (x, y, σ)=G (x, y, σ) * I (x, y)
Wherein, L (x, y, σ) is graphical rule space (pixel)；
I (x, y) is demand source of houses picture (pixel)；
Graphical rule space G (x, y, σ) is gaussian kernel function；
σ is the scale space factor, is the standard deviation of Gauss normal distribution, reflects the degree that image is blurred, value is got over
Big image is fuzzyyer, and corresponding scale is also bigger.
Extremum extracting is carried out to described image scale space, obtains the key feature points of described image scale space；
When obtaining the graphical rule space of demand source of houses picture, extremum extracting, identification can be carried out to graphical rule space
Key feature points (characteristic point of certain stability is kept when dimensional variation) out.Wherein, it can be when carrying out extremum extracting logical
Gauss-Laplace (LoG) progress is crossed, is also possible to through difference Gauss (DoG) come approximate calculation, so that detection obtains
Extreme point；Certainly when detecting extreme point, need to get rid of the unstable extreme point (extreme point of such as low contrast toward contact
With unstable skirt response point), stable extreme point is obtained, these stable extreme points are key feature points.Certainly this
The quantity of a little key feature points can be it is more than two (herein " and more than " include this number, similarly hereinafter).
The principal direction of the key feature points is determined based on preset direction rule, and according to the principal direction to the key
Characteristic point is described, and obtains the corresponding feature vector of the key feature points；
When obtaining key feature points, the principal direction of key feature points can be determined based on a preset direction rule, certainly should
Preset direction rule can be configured according to the actual situation.It can be centered on key feature points, preset in the present embodiment
Radius distance is that radius carries out making to justify, and obtains a regional area, then calculates the edge of each position in the regional area
Gradient direction (orientation) and its amplitude (magnitude), and gradient direction is divided into 36 bin and is counted,
The section for being equivalent to each bin is 10 degree；The mode for then using Gauss weight, by the histogram on position each in regional area
The amplitude that figure carries out Gauss weighting is added, and obtains the gradient orientation histogram of the final key feature points；It then can be by gradient side
Into histogram, direction corresponding to top is determined as the principal direction of the key feature points.In the master for determining each key feature points
When direction, key feature points can be described according to each principal direction, to obtain the corresponding feature vector of each key feature points.
It is special that the corresponding feature vector of the key feature points is determined as the corresponding source of houses picture of the demand source of houses picture
Sign.
When obtaining the feature vector of each key feature points, these feature vectors can be determined as to demand source of houses picture pair
The source of houses picture feature answered.Certainly, these source of houses picture features obtained by sift mode be generally the features of 128 dimensions to
Amount can also carry out dimensionality reduction operation to these high-dimensional vectors by certain algorithm for subsequent convenience, such as by certain
Hash function converts each feature vector to the low-dimensional feature etc. of cryptographic Hash form.
Step S30 carries out source of houses retrieval, the determining and demand according to the source of houses picture feature in default source of houses library
The corresponding alternative source of houses of source of houses picture, and the alternative source of houses picture of the alternative source of houses is obtained, wherein the alternative source of houses includes
More than two sample sources of houses；
It, can be special according to the source of houses body feature and non-source of houses main body when obtaining source of houses picture feature in the present embodiment
Sign carries out source of houses retrieval in default source of houses library, searches the sample source of houses with matching characteristic (same characteristic features), and in these samples
The alternative source of houses corresponding with demand source of houses picture is determined in this source of houses.It wherein, include to collect in advance in the default source of houses library
Several sample sources of houses further include the sample source of houses picture for having these sample sources of houses, further include having these sample source of houses picture institutes right
The samples pictures feature answered；These samples pictures features be also by the way of such as above-mentioned steps S20 from sample source of houses picture
Extraction obtains.The process of alternative source of houses retrieval, i.e., by the source of houses picture feature of demand source of houses picture respectively with each sample source of houses
The samples pictures feature of picture compares, and determines the matching characteristic number of demand source of houses picture Yu each sample source of houses picture, such as
The matching characteristic number of demand source of houses picture and A sample source of houses picture is x1, and the matching characteristic number with B sample source of houses picture is y2.
It, can will be with most several of matching characteristic number in the matching characteristic number for determining demand source of houses picture and each sample source of houses picture
Alternately the source of houses, the source of houses picture of the alternative source of houses are alternative source of houses picture to a sample source of houses.It is worth noting that obtaining
It is the sample source of houses alternately source of houses for obtaining two when taking the alternative source of houses.And judging demand source of houses picture and the sample source of houses
During whether the feature of picture is matched, it can be the characteristic distance by calculating two features to judge, such as when two
When a feature is vector form, it can be and calculate Euclidean distance, mahalanobis distance Mahalanobis Distance etc., as two spies
When sign is character string forms, calculating Hamming distance can be；When the distance of two features is less than a preset threshold, i.e., it is believed that
The two are characterized in matched.
Step S40 is ranked up each alternative source of houses picture based on predetermined order model, and is existed according to picture ranking results
It is determined in the alternative source of houses and recommends the source of houses and source of houses recommendation order；
It is to be searched in a manner of full search, therefore these are standby during the alternative source of houses of signature search
Selecting the source of houses may be more rough source of houses the selection result, can also be according to a predetermined order model to each alternative to this present embodiment
The alternative source of houses picture of the source of houses is ranked up, namely is arranged in a manner of similarity (matching degree) these alternative sources of houses,
And using several the alternative sources of houses for wherein sorting forward as the recommendation source of houses, and source of houses recommendation is carried out with the sequence.It is worth explanation
, recommend the quantity of the source of houses, can be less than the alternative source of houses, such as the quantity of the alternative source of houses is 5, after being ranked up, only
3 alternative sources of houses for taking sequence forward are as the recommendation source of houses.
Specifically, step S40 includes:
The alternative picture feature of each alternative source of houses picture is obtained, and respectively by the alternative of each alternative source of houses picture
Picture feature is compared with the source of houses picture feature, determines each alternative source of houses picture and the sample source of houses picture
Matching characteristic point；
For each alternative source of houses picture, its matching characteristic point with demand source of houses picture can be obtained first, about the step
It is also possible to carry out and record in step s 30, detailed process is for example above-mentioned, and details are not described herein again.
It is carried out between the demand source of houses picture and each alternative source of houses picture based on default K arest neighbors KNN algorithm
Feature Points Matching obtains the matching characteristic point of each alternative source of houses picture；
Error hiding detection is carried out in the matching characteristic point based on stochastical sampling consistency RANSAC algorithm, and according to inspection
It surveys result and rejects the Mismatching point in the matching characteristic point, obtain the correction match point of each alternative source of houses picture；
When obtaining the matching characteristic point of each alternative source of houses picture, stochastical sampling consistency RANSAC algorithm pair can be based on
These matching characteristic points carry out error hiding detection, to detect Mismatching point in matching characteristic point and be rejected.For example, certain
Set composed by the matching characteristic point of one alternative source of houses picture can be described as matching characteristic point set, first can be from matching characteristic point set
Middle random selection preset quantity (such as 4) matching characteristic point, and according to this 4 matching characteristic points and default matrix rule construct
Then (calculating) transformation matrix M obtains that matching characteristic point concentration meets transformation matrix M according to default error metrics function
With characteristic point (consistent features point), set composed by these matching characteristic points can be described as unanimously collecting, and then can determine consistent collection
The quantity of middle matching characteristic point；It, can be by most consistent of the quantity of matching characteristic point after repeating n times (preset times) above process
Collection is used as optimal consistent collection, and for being not belonging to the optimal matching characteristic point unanimously collected, as Mismatching point.It is detecting to miss
After match point, which can be rejected, to obtain the correction match point of each alternative source of houses picture.
Each alternative source of houses picture is ranked up according to the quantity of the correction match point of each alternative source of houses picture,
And it is determined in the alternative source of houses according to picture ranking results and recommends the source of houses and source of houses recommendation order.
When obtaining the correction match point of each alternative source of houses picture, i.e., correction included by statistics available each alternative source of houses picture
The quantity of match point, and each alternative source of houses picture is ranked up according to the quantity of the correction match point, correct the number of match point
Amount is more, sorts more forward；It then can be by sequence near several alternative sources of houses of preceding (quantity of correction match point is most)
As the source of houses is recommended, which is source of houses recommendation order.
Step S50 is obtained the recommendation information of real estate for recommending the source of houses, and is pushed away based on the source of houses recommendation order by described
It recommends information of real estate and is sent to described search terminal.
Determining that, when determining the recommendation source of houses, search server will obtain the recommendation of the recommendation source of houses when recommending the source of houses
Information of real estate, the recommendation information of real estate include that source of houses affiliated subdistrict, the more pictures of cell, cell address, cell is recommended to build up
Time, cell source of houses room rate, cordon traffic information etc..For these recommend information of real estate, can be stored in advance in it is above-mentioned pre-
If in source of houses library, being also possible to search server and being inquired and obtained from network again after determining the recommendation source of houses.Search clothes
Device be engaged in when obtaining the recommendation information of real estate, information of real estate can be recommended to send these with the source of houses recommendation order in step S40
Into search terminal, for example, sequence near the preceding alternative source of houses information in top, and so on, so that user passes through search
Terminal understands the source of houses (cell) information.
Further, the present embodiment can be when recommendation information of real estate is inquired and obtained from network from two or more
Source of houses platform obtain, that is, what is got is multi-source information of real estate, at this time search server need these multi-source sources of houses believe
Determine that highest be used as of accuracy is recommended information of real estate and sent in breath, to improve the accuracy of information.And this is pushed away
The determination of information of real estate is recommended, then can be and carried out from multiple dimensions, such as freshness, source of houses platform credible degree of information etc..
Optionally, search server further includes each source room in the multi-source information of real estate when getting multi-source information of real estate
The renewal time (or information of real estate shelf life) of source information, which can be used for evaluating the freshness of information of real estate；So
Search server can compare the information update time in each source information of real estate afterwards, by the information update time closest to currently
The information of real estate of time sends it to search terminal as recommendation information of real estate.
Optionally, search server will also inquire each room while obtaining multi-source information of real estate from multi-source source of houses platform
Source platform can be used in the platform access flow for presetting measurement period (in such as one week, in one month), the platform access amount
Characterize business platform confidence level；Then search server can compare the platform access amount of each source of houses platform, and platform is visited
The information of real estate that the maximum source of houses platform of the amount of asking provides sends it to search terminal as recommendation information of real estate.
Certainly, for recommending the determination of information of real estate, it can also be and be combined above two mode, such as by each source
Information of real estate corresponding information update time and platform amount of access are converted to corresponding freshness score value and degree of recognition score value, then
By two score value weighting summations, accuracy of information scoring is obtained, then accuracy of information is used to score highest information of real estate as pushing away
Recommend information of real estate；It or is using other rules, to determine target illustration sheet information in multi-source information of real estate.
Further, in the present embodiment, after sending recommendation information of real estate to search terminal, know in order to facilitate user
More informations of real estate, search server can also be believed according to more sources of houses are pushed to user the characteristics of recommending information of real estate
Breath.Specifically, further including having to recommend source of houses address and/or recommendation source of houses room in the recommendation information of real estate that search server obtains
Valence, search server can obtain and the recommendation source of houses according to the recommendation source of houses address and/or recommendation source of houses room rate of the recommendation source of houses
The matched similar source of houses, for example, centered on the recommendation source of houses, 1km radius carry out source of houses search, by with the recommendation source of houses away from
From being the source of houses within 1km as the similar source of houses；In another example search (is such as all with identical room rate range with the source of houses is recommended
10000-12000 member/square meter) the source of houses as the similar source of houses.Then search server will acquire the similar room of the similar source of houses
Source information, and the similar source of houses is sent to search terminal.
In the present embodiment, when receiving the source of houses search instruction of search terminal transmission, according to the source of houses search instruction
Acquisition demand source of houses picture；Feature extraction is carried out to the demand source of houses picture based on Scale invariant features transform model, is obtained
Corresponding source of houses picture feature；Carry out source of houses retrieval in default source of houses library according to the source of houses picture feature, it is determining with it is described
The corresponding alternative source of houses of demand source of houses picture, and the alternative source of houses picture of the alternative source of houses is obtained, wherein the alternative source of houses
Including more than two sample sources of houses；Each alternative source of houses picture is ranked up based on predetermined order model, and is arranged according to picture
Sequence result determines in the alternative source of houses recommends the source of houses and source of houses recommendation order；Obtain the recommendation source of houses letter for recommending the source of houses
Breath, and the recommendation information of real estate is sent to by described search terminal based on the source of houses recommendation order.In the above manner, this
Embodiment can receive the source of houses picture that user provides, and carry out feature extraction to the source of houses picture, then according to the feature of extraction
Source of houses search is carried out in known source of houses library, finally returns that associated recommendation information of real estate, to solve currently to have to input tool
Body source of houses position or title just can be carried out the pain spot of source of houses retrieval, and user is facilitated to carry out the source of houses when not knowing source of houses specifying information
Search, improves the usage experience of user；It is that the mode based on Scale invariant features transform carries out when carrying out feature extraction, has
Conducive to the accuracy for improving feature extraction and source of houses retrieval.
Based on above-mentioned embodiment illustrated in fig. 2, source of houses searching method second embodiment of the present invention is proposed.
In the present embodiment, after step S50 further include:
When receiving the navigation instruction of described search terminal transmission, according to the navigation instruction in the recommendation source of houses
It determines the target source of houses, and obtains the destination address of the target source of houses and the terminal address of described search terminal；
In the present embodiment, after sending recommendation information of real estate to search terminal, its intention is known in order to facilitate recommended user
The place of the source of houses and the method for reaching the source of houses, search server can also provide navigation feature for user.Specifically, search clothes
Business device is sent in the recommendation information of real estate of search terminal, further includes having navigation options；User pushes away being checked by search terminal
When recommending information of real estate, if interested in a certain recommendation source of houses, the navigation options can be clicked；Search terminal is then depending on the user's operation
Corresponding navigation instruction is sent to search server.Search server refers to when receiving the navigation instruction according to the navigation
It enables and determines the target source of houses in recommending the source of houses, and obtain the destination address where the target source of houses；Server is simultaneously scanned for will also
The current terminal address of search terminal is obtained, which is regarded as the current location of user.For the terminal address,
It can be search terminal to collect by itself GPS device, and sent together when sending navigation instruction to search server,
It is also possible to search server to be positioned to obtain according to the IP address of search terminal, can also be that other modes obtain certainly
Obtain (such as user fills in manually).
Navigation routine is generated according to the destination address and the terminal address, and navigation routine is back to described search
Terminal.
In the present embodiment, search server when obtaining destination address and terminal address, can according to the destination address and
Terminal address generates navigation routine, and the navigation routine is back to search terminal, so that user obtains according to the navigation routine
The method for reaching the target source of houses.Certain navigation routine can be including a variety of trip modes and a variety of traffic paths, such as
Driving route, bus routes, Walking Route etc. can also include each trip mode and the estimated trip time-consuming of traffic path etc..
In the above manner, navigation feature can be provided for user, facilitates recommended user to know the place of its intention source of houses and reach and be somebody's turn to do
The method of the source of houses is conducive to the usage experience for improving user.
In addition, the embodiment of the present invention also provides a kind of source of houses searcher.
It is the functional block diagram of source of houses searcher first embodiment of the present invention referring to Fig. 3, Fig. 3.
In the present embodiment, the source of houses searcher includes:
Picture obtain module 10, for receive search terminal transmission the source of houses search instruction when, according to the source of houses
Search instruction obtains demand source of houses picture；
Characteristic extracting module 20, for carrying out feature to the demand source of houses picture based on Scale invariant features transform model
It extracts, obtains corresponding source of houses picture feature；
Source of houses retrieval module 30, for carrying out source of houses retrieval in default source of houses library according to the source of houses picture feature, really
The fixed alternative source of houses corresponding with the demand source of houses picture, and the alternative source of houses picture of the alternative source of houses is obtained, wherein described
The alternative source of houses includes more than two sample sources of houses；
Source of houses sorting module 40, for being ranked up based on predetermined order model to each alternative source of houses picture, and according to figure
Piece ranking results determine in the alternative source of houses recommends the source of houses and source of houses recommendation order；
First sending module 50 is recommended for obtaining the recommendation information of real estate for recommending the source of houses, and based on the source of houses
The recommendation information of real estate is sent to described search terminal by sequence.
Wherein, each virtual functions module of above-mentioned source of houses searcher is stored in the storage of the search equipment of the source of houses shown in Fig. 1
It is functional for realizing the institute of source of houses search program in device 1005；, it can be achieved that being based on when each module is executed by processor 1001
The source of houses search instruction that search terminal is sent is carried out to scheme to search the function in room.
Further, the characteristic extracting module 20 includes:
Space structural unit, for constructing the graphical rule space of the demand source of houses picture by gaussian kernel function；
Extremum extracting unit obtains described image scale space for carrying out extremum extracting to described image scale space
Key feature points；
Direction-determining unit, for determining the principal direction of the key feature points based on preset direction rule, and according to institute
It states principal direction the key feature points are described, obtains the corresponding feature vector of the key feature points；
Characteristics determining unit, for the corresponding feature vector of the key feature points to be determined as the demand source of houses picture
Corresponding source of houses picture feature.
Further, the source of houses sorting module 40 includes:
Characteristic point determination unit, for obtaining the alternative picture feature of each alternative source of houses picture, and respectively will be described
The alternative picture feature of each alternative source of houses picture is compared with the source of houses picture feature, determines each alternative source of houses picture
With the matching characteristic point of the sample source of houses picture；
Error hiding detection unit, for being carried out in the matching characteristic point based on stochastical sampling consistency RANSAC algorithm
Error hiding detection, and the Mismatching point in the matching characteristic point is rejected according to testing result, obtain each alternative source of houses figure
The correction match point of piece；
Picture sequencing unit, for the quantity for correcting match point according to each alternative source of houses picture to described each alternative
Source of houses picture is ranked up, and is determined in the alternative source of houses according to picture ranking results and recommended the source of houses and source of houses recommendation suitable
Sequence.
Further, first sending module 50 includes:
First acquisition unit, for obtaining the multi-source information of real estate for recommending the source of houses by multi-source source of houses platform, wherein
The multi-source information of real estate includes the information update time of each source information of real estate；
First determination unit recommends the source of houses for determining in the multi-source information of real estate according to the information update time
Information, and the recommendation information of real estate is sent to by described search terminal based on the source of houses recommendation order.
Further, first sending module 50 includes:
Second acquisition unit for obtaining the multi-source information of real estate for recommending the source of houses by multi-source source of houses platform, and obtains
Take each source of houses platform in the multi-source source of houses platform in the platform access amount of default measurement period；
Second determination unit recommends source of houses letter for determining in the multi-source information of real estate according to the platform access amount
Breath, and the recommendation information of real estate is sent to by described search terminal based on the source of houses recommendation order.
Further, the recommendation information of real estate includes recommending source of houses address and/or recommending source of houses room rate, and the source of houses is searched
Rope device further include:
The source of houses obtains module, for being obtained and the recommendation according to the recommendation source of houses address and/or recommendation source of houses room rate
The matched similar source of houses of the source of houses, and obtain the similar information of real estate of the similar source of houses；
Second sending module, for the similar information of real estate to be sent to described search terminal.
Further, the source of houses searcher further include:
Address acquisition module, for being referred to according to the navigation when receiving the navigation instruction of described search terminal transmission
It enables and determines the target source of houses in the recommendation source of houses, and obtain the destination address of the target source of houses and the end of described search terminal
Hold address；
Route Generation module, for generating navigation routine according to the destination address and the terminal address, and will navigation
Route is back to described search terminal.
Wherein, the above-mentioned function based on modules in source of houses searcher is realized and above-mentioned source of houses searching method embodiment
In each step it is corresponding, function and realization process no longer repeat one by one here.
In addition, the embodiment of the present invention also provides a kind of computer readable storage medium.
Source of houses search program is stored on computer readable storage medium of the present invention, wherein the source of houses search program is located
When managing device execution, realize such as the step of above-mentioned source of houses searching method.
Wherein, source of houses search program, which is performed realized method, can refer to each reality of source of houses searching method of the present invention
Example is applied, details are not described herein again.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
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 one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of source of houses searching method, which is characterized in that the source of houses searching method includes:
When receiving the source of houses search instruction of search terminal transmission, demand source of houses figure is obtained according to the source of houses search instruction
Piece；
Feature extraction is carried out to the demand source of houses picture based on Scale invariant features transform model, obtains corresponding source of houses picture
Feature；
Source of houses retrieval is carried out in default source of houses library according to the source of houses picture feature, determination is corresponding with the demand source of houses picture
The alternative source of houses, and the alternative source of houses picture of the alternative source of houses is obtained, wherein the alternative source of houses includes more than two samples
This source of houses；
Each alternative source of houses picture is ranked up based on predetermined order model, and according to picture ranking results in the alternative source of houses
The middle determining recommendation source of houses and source of houses recommendation order；
The recommendation information of real estate for recommending the source of houses is obtained, and is sent out the recommendation information of real estate based on the source of houses recommendation order
It send to described search terminal.
2. source of houses searching method as described in claim 1, which is characterized in that described to be based on Scale invariant features transform model pair
The step of demand source of houses picture carries out feature extraction, obtains corresponding source of houses picture feature include:
The graphical rule space of the demand source of houses picture is constructed by gaussian kernel function；
Extremum extracting is carried out to described image scale space, obtains the key feature points of described image scale space；
The principal direction of the key feature points is determined based on preset direction rule, and according to the principal direction to the key feature
Point is described, and obtains the corresponding feature vector of the key feature points；
The corresponding feature vector of the key feature points is determined as the corresponding source of houses picture feature of the demand source of houses picture.
3. source of houses searching method as described in claim 1, which is characterized in that the predetermined order model that is based on is to each alternative room
Source picture is ranked up, and is determined in the alternative source of houses according to picture ranking results and recommended the source of houses and source of houses recommendation order
Step includes:
The alternative picture feature of each alternative source of houses picture is obtained, and respectively by the alternative picture of each alternative source of houses picture
Feature is compared with the source of houses picture feature, determines the matching of each alternative source of houses picture and the sample source of houses picture
Characteristic point；
Error hiding detection is carried out in the matching characteristic point based on stochastical sampling consistency RANSAC algorithm, and is tied according to detection
Fruit rejects the Mismatching point in the matching characteristic point, obtains the correction match point of each alternative source of houses picture；
Each alternative source of houses picture is ranked up according to the quantity of the correction match point of each alternative source of houses picture, and root
It is determined in the alternative source of houses according to picture ranking results and recommends the source of houses and source of houses recommendation order.
4. source of houses searching method as described in claim 1, which is characterized in that described to obtain the recommendation source of houses for recommending the source of houses
Information, and the step of recommendation information of real estate is sent to described search terminal based on the source of houses recommendation order includes:
The multi-source information of real estate for recommending the source of houses is obtained by multi-source source of houses platform, wherein the multi-source information of real estate includes each
The information update time of source information of real estate；
It is determined in the multi-source information of real estate according to the information update time and recommends information of real estate, and pushed away based on the source of houses
It recommends sequence and the recommendation information of real estate is sent to described search terminal.
5. source of houses searching method as described in claim 1, which is characterized in that described to obtain the recommendation source of houses for recommending the source of houses
Information, and the step of recommendation information of real estate is sent to described search terminal based on the source of houses recommendation order includes:
The multi-source information of real estate for recommending the source of houses is obtained by multi-source source of houses platform, and is obtained each in the multi-source source of houses platform
Platform access amount of the source of houses platform in default measurement period；
It is determined in the multi-source information of real estate according to the platform access amount and recommends information of real estate, and recommended based on the source of houses
The recommendation information of real estate is sent to described search terminal by sequence.
6. source of houses searching method as described in claim 1, which is characterized in that the recommendation information of real estate includes with recommending the source of houses
Location and/or recommendation source of houses room rate,
It is described to obtain the recommendation information of real estate for recommending the source of houses, and the recommendation information of real estate is returned into described search terminal
After step, further includes:
According to the recommendation source of houses address and/or recommend the acquisition of source of houses room rate and the matched similar source of houses of the recommendation source of houses, and
Obtain the similar information of real estate of the similar source of houses；
The similar information of real estate is returned into described search terminal.
7. such as source of houses searching method described in any one of claims 1 to 6, which is characterized in that described to obtain the recommendation room
The recommendation information of real estate in source, and the recommendation information of real estate is sent to by described search terminal based on the source of houses recommendation order
After step, further includes:
When receiving the navigation instruction of described search terminal transmission, determined in the recommendation source of houses according to the navigation instruction
The target source of houses, and obtain the destination address of the target source of houses and the terminal address of described search terminal；
Navigation routine is generated according to the destination address and the terminal address, and navigation routine is back to described search end
End.
8. a kind of source of houses searcher, which is characterized in that the source of houses searcher includes:
Picture obtains module, for being referred to according to source of houses search when receiving the source of houses search instruction of search terminal transmission
Enable acquisition demand source of houses picture；
Characteristic extracting module, for carrying out feature extraction to the demand source of houses picture based on Scale invariant features transform model,
Obtain corresponding source of houses picture feature；
Source of houses retrieval module, for carrying out source of houses retrieval, determining and institute in default source of houses library according to the source of houses picture feature
The corresponding alternative source of houses of demand source of houses picture is stated, and obtains the alternative source of houses picture of the alternative source of houses, wherein the alternative room
Source includes more than two sample sources of houses；
Source of houses sorting module for being ranked up based on predetermined order model to each alternative source of houses picture, and is sorted according to picture
As a result it is determined in the alternative source of houses and recommends the source of houses and source of houses recommendation order；
First sending module, for obtaining the recommendation information of real estate for recommending the source of houses, and will based on the source of houses recommendation order
The recommendation information of real estate is sent to described search terminal.
9. a kind of source of houses searches for equipment, which is characterized in that the source of houses search equipment includes processor, memory and storage
On the memory and the source of houses search program that can be executed by the processor, wherein the source of houses search program is by the place
When managing device and executing, the step of realizing source of houses searching method as described in any one of claims 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that be stored with the source of houses on the computer readable storage medium and search
Suo Chengxu, wherein realizing the room as described in any one of claims 1 to 7 when the source of houses search program is executed by processor
The step of source searching method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910202633.3A CN110069654A (en) | 2019-03-15 | 2019-03-15 | Source of houses searching method, device, equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910202633.3A CN110069654A (en) | 2019-03-15 | 2019-03-15 | Source of houses searching method, device, equipment and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110069654A true CN110069654A (en) | 2019-07-30 |
Family
ID=67366354
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910202633.3A Pending CN110069654A (en) | 2019-03-15 | 2019-03-15 | Source of houses searching method, device, equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110069654A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110795582A (en) * | 2019-10-31 | 2020-02-14 | 京东方科技集团股份有限公司 | Image recommendation method, system, terminal device and server |
| CN111161034A (en) * | 2019-12-31 | 2020-05-15 | 青梧桐有限责任公司 | Method for constructing recommendation engine based on LBS (location based service) renting scene |
| CN111192202A (en) * | 2019-12-31 | 2020-05-22 | 上海简家信息技术有限公司 | Automatic house source image processing method and device |
| CN112419312A (en) * | 2020-12-11 | 2021-02-26 | 五八有限公司 | Similar house source information detection method and device, electronic equipment and readable medium |
| CN112487310A (en) * | 2020-10-23 | 2021-03-12 | 贝壳技术有限公司 | Cell recommendation method and system |
| CN112905874A (en) * | 2019-12-03 | 2021-06-04 | 贝壳技术有限公司 | House resource retrieval method, device, storage medium and equipment |
| CN112950268A (en) * | 2021-03-02 | 2021-06-11 | 深圳市前海房极客网络科技有限公司 | Algorithm for calculating willingness degree of client to purchase real-time property |
| CN113344201A (en) * | 2021-06-22 | 2021-09-03 | 北京三快在线科技有限公司 | Model training method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102402621A (en) * | 2011-12-27 | 2012-04-04 | 浙江大学 | Image retrieval method based on image classification |
| CN103473327A (en) * | 2013-09-13 | 2013-12-25 | 广东图图搜网络科技有限公司 | Image retrieval method and image retrieval system |
| CN105550381A (en) * | 2016-03-17 | 2016-05-04 | 北京工业大学 | Efficient image retrieval method based on improved SIFT (scale invariant feature transform) feature |
| CN108416066A (en) * | 2018-03-29 | 2018-08-17 | 平安好房（上海）电子商务有限公司 | Image searching method, user equipment, storage medium and picture searching device |
-
2019
- 2019-03-15 CN CN201910202633.3A patent/CN110069654A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102402621A (en) * | 2011-12-27 | 2012-04-04 | 浙江大学 | Image retrieval method based on image classification |
| CN103473327A (en) * | 2013-09-13 | 2013-12-25 | 广东图图搜网络科技有限公司 | Image retrieval method and image retrieval system |
| CN105550381A (en) * | 2016-03-17 | 2016-05-04 | 北京工业大学 | Efficient image retrieval method based on improved SIFT (scale invariant feature transform) feature |
| CN108416066A (en) * | 2018-03-29 | 2018-08-17 | 平安好房（上海）电子商务有限公司 | Image searching method, user equipment, storage medium and picture searching device |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110795582A (en) * | 2019-10-31 | 2020-02-14 | 京东方科技集团股份有限公司 | Image recommendation method, system, terminal device and server |
| CN112905874A (en) * | 2019-12-03 | 2021-06-04 | 贝壳技术有限公司 | House resource retrieval method, device, storage medium and equipment |
| CN112905874B (en) * | 2019-12-03 | 2021-11-12 | 贝壳找房(北京)科技有限公司 | House resource retrieval method, device, storage medium and equipment |
| CN111161034A (en) * | 2019-12-31 | 2020-05-15 | 青梧桐有限责任公司 | Method for constructing recommendation engine based on LBS (location based service) renting scene |
| CN111192202A (en) * | 2019-12-31 | 2020-05-22 | 上海简家信息技术有限公司 | Automatic house source image processing method and device |
| CN111192202B (en) * | 2019-12-31 | 2024-02-02 | 上海添玑好房网络服务有限公司 | Automatic house source image processing method and device |
| CN112487310A (en) * | 2020-10-23 | 2021-03-12 | 贝壳技术有限公司 | Cell recommendation method and system |
| CN112487310B (en) * | 2020-10-23 | 2023-02-17 | 贝壳技术有限公司 | Cell recommendation method and system |
| CN112419312A (en) * | 2020-12-11 | 2021-02-26 | 五八有限公司 | Similar house source information detection method and device, electronic equipment and readable medium |
| CN112419312B (en) * | 2020-12-11 | 2023-04-07 | 五八有限公司 | Similar house source information detection method and device, electronic equipment and readable medium |
| CN112950268A (en) * | 2021-03-02 | 2021-06-11 | 深圳市前海房极客网络科技有限公司 | Algorithm for calculating willingness degree of client to purchase real-time property |
| CN113344201A (en) * | 2021-06-22 | 2021-09-03 | 北京三快在线科技有限公司 | Model training method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110069654A (en) | Source of houses searching method, device, equipment and computer readable storage medium | |
| US9542417B2 (en) | Preferred image retrieval | |
| You et al. | Relative CNN-RNN: Learning relative atmospheric visibility from images | |
| CN107424043B (en) | Product recommendation method and device and electronic equipment | |
| CN103038769B (en) | System and method for content to be directed into social network engine user | |
| US9218364B1 (en) | Monitoring an any-image labeling engine | |
| CN110083762A (en) | Source of houses searching method, device, equipment and computer readable storage medium | |
| US20170249340A1 (en) | Image clustering system, image clustering method, non-transitory storage medium storing thereon computer-readable image clustering program, and community structure detection system | |
| US9037600B1 (en) | Any-image labeling engine | |
| KR20180122926A (en) | Method for providing learning service and apparatus thereof | |
| CN102591868B (en) | System and method for automatic generation of photograph guide | |
| CN110598037A (en) | Image searching method, device and storage medium | |
| CN108897750B (en) | Personalized place recommendation method and device integrating multiple contextual information | |
| KR102232408B1 (en) | Augmented Reality system for advertising platform based image analysis | |
| CN109791559A (en) | Promote use of the image as search inquiry | |
| CN106095738A (en) | Recommendation tables single slice | |
| CN110096609A (en) | Source of houses searching method, device, equipment and computer readable storage medium | |
| EP3400537B1 (en) | Method for navigating through a set of images | |
| Olugbara et al. | Exploiting image content in location-based shopping recommender systems for mobile users | |
| US9569465B2 (en) | Image processing | |
| JPWO2007004521A1 (en) | Marker specifying device and marker specifying method | |
| Brovelli et al. | A crowdsourcing-based game for land cover validation | |
| CN116611891A (en) | Content information recommendation method, device, server and storage medium | |
| Sun et al. | Automatic building age prediction from street view images | |
| CN110879863B (en) | Cross-domain search method and cross-domain search device |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190730 |
|
| WD01 | Invention patent application deemed withdrawn after publication |