CN109165990A - A kind of method and system improving house property industry customer end subscriber viscosity - Google Patents
A kind of method and system improving house property industry customer end subscriber viscosity Download PDFInfo
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- CN109165990A CN109165990A CN201810706840.8A CN201810706840A CN109165990A CN 109165990 A CN109165990 A CN 109165990A CN 201810706840 A CN201810706840 A CN 201810706840A CN 109165990 A CN109165990 A CN 109165990A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Abstract
The present invention provides a kind of method and system for improving house property industry customer end subscriber viscosity, which comprises obtains the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；The voice data is converted into corresponding lteral data；The lteral data is input in source of houses decision tree, the information of real estate for meeting the user demand is obtained；Mobile terminal by the information of real estate in the user is shown.This method and system can make the user of house property end product more active, improve the viscosity of house property industry customer end subscriber.
Description
Technical field
The present invention relates to field of computer technology, and in particular to a method of improve house property industry customer end subscriber viscosity
And system.
Background technique
Clothing, food, lodging and transportion -- basic necessities of life and the daily life of people are closely related, wherein stay in life and occupy important position, but it disappears
Take behavior really unusual low frequency.
During current house transaction, letting agency is a very important role.For company of letting agency
For, more wish the end product of company's exploitation, such as looks for room APP, very active user can be possessed.
But reality is, but it is current look for room APP to be not very convenient to use, therefore be not using user
More than especially or user is not without too high use enthusiasm, and then can not keep user here, to influence room to a certain extent
Produce transaction.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provide it is a kind of improve house property industry customer end subscriber viscosity method and be
System.
In a first aspect, the embodiment of the present invention provides a kind of method for improving house property industry customer end subscriber viscosity, the side
Method includes:
Obtain the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；
The voice data is converted into corresponding lteral data；
The lteral data is input in source of houses decision tree, the information of real estate for meeting the user demand is obtained；
Mobile terminal by the information of real estate in the user is shown.
Second aspect, the embodiment of the present invention provide a kind of system for improving house property industry customer end subscriber viscosity, the system
System includes:
Module is obtained, the voice number for being used to obtain the target source of houses inputted for obtaining client user by mobile terminal
According to；
Conversion module, for the voice data to be converted into corresponding lteral data；
Input module obtains meeting the user demand for the lteral data to be input in source of houses decision tree
Information of real estate；
Display module is shown for the mobile terminal by the information of real estate in the user.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, and the equipment includes memory and processor, described
Processor and the memory complete mutual communication by bus；The memory, which is stored with, to be executed by the processor
Program instruction, the processor calls described program instruction to be able to carry out above-mentioned raising house property industry customer end subscriber viscosity
Method.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
The computer program realizes above-mentioned raising house property industry customer end subscriber viscosity method when being executed by processor.
The method and system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, by obtaining client
The voice data for being used to obtain the target source of houses that end subscriber is inputted by mobile terminal, converts voice data to corresponding text
Lteral data is input in source of houses decision tree by data, the information of real estate for meeting user demand is obtained, by information of real estate in user
Mobile terminal be shown.This method and system carry out human-computer interaction based on the mode that voice inputs, it is no longer necessary to complicated
Manual operation, no longer limited by mobile terminal the small screen, improve the usage experience of user, so as to improve house property row
The viscosity of industry client user.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the method flow diagram provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity；
Fig. 2 is the structural schematic diagram of the system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity；
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Fig. 1 is the method flow diagram provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, such as Fig. 1 institute
Show, which comprises
Step 10 obtains the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；
The voice data is converted into corresponding lteral data by step 11；
The lteral data is input in source of houses decision tree by step 12, obtains the source of houses letter for meeting the user demand
Breath；
Step 13, the mobile terminal by the information of real estate in the user are shown.
Specifically, client user can realize man-machine friendship in such a way that the mobile terminals such as mobile phone are using voice input
Mutually.The voice data of the available user's input of server, the voice data that then will acquire are converted into corresponding text number
According to.For example, user speech input " search leader Silicon Valley cell, area is flat less than 90, the source of houses of the price within 2,000,000 ", then
The voice data can be converted into corresponding lteral data first by server.
Then, the lteral data being converted to can be input in the source of houses decision tree pre-established by server, be obtained
To the information of real estate for meeting the user demand.Server can obtain these informations of real estate from source of houses database, and in the use
The mobile terminals such as the mobile phone at family are shown these informations of real estate.
The method provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, by obtaining client user
The voice data for being used to obtain the target source of houses inputted by mobile terminal, converts voice data to corresponding lteral data,
Lteral data is input in source of houses decision tree, the information of real estate for meeting user demand is obtained, by information of real estate user shifting
Dynamic terminal is shown.This method carries out human-computer interaction based on the mode that voice inputs, it is no longer necessary to complicated manual operation,
It is no longer limited by mobile terminal the small screen, improves the usage experience of user, used so as to improve house property industry customer end
The viscosity at family.
Optionally, on the basis of the above embodiments, described that the lteral data is input in source of houses decision tree, it obtains
Meet the information of real estate of the user demand, comprising:
The lteral data is analyzed using presupposition analysis strategy, determines source of houses qualifications；
According to the source of houses qualifications, the information of real estate for meeting the user demand is obtained.
Specifically, server can use preset analysis strategy, analyze the lteral data obtained after conversion,
Source of houses qualifications are determined based on the analysis results.Wherein, source of houses qualifications may include: cell name belonging to the source of houses, room
The area in source and the price of the source of houses etc..
After determining source of houses qualifications, server can search all sources of houses that meet from source of houses database and limit
The information of real estate of condition, and the information of real estate found is obtained out, these informations of real estate are exactly the room for meeting user demand
Source information.
The method provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, by using presupposition analysis plan
Slightly lteral data is analyzed, determines source of houses qualifications, according to source of houses qualifications, obtains the source of houses for meeting user demand
Information, this makes the method more scientific.
Optionally, on the basis of the above embodiments, described that the lteral data is divided using presupposition analysis strategy
Analysis, determines source of houses qualifications, comprising:
If in the lteral data including the first default noun and default verb, to the lteral data according to part of speech and
Punctuation mark is divided, and corresponding semantic analysis data are obtained；
If the first noun in the semantic analysis data matches with the first community title in database, from described
The second noun and restriction range corresponding with second noun are searched in semantic analysis data；Wherein, the second place
Word includes: area and price；
According to first noun, second noun and restriction range corresponding with second noun, determine
The source of houses qualifications.
Specifically, server can determine source of houses qualifications as follows.
" source of houses " can be used as the first default noun by server, by " search " as default verb, if lteral data
In include the first default noun and the default verb, then lteral data can be divided according to part of speech and punctuation mark,
Obtain corresponding semantic analysis data.For example, lteral data is that " search leader Silicon Valley cell, area is flat less than 90, and price exists
The source of houses within 2000000 ", then whether server can divide this section of words, obtain according to part of speech and be punctuation mark
Semantic analysis data are as follows: verb-" search "；Noun-" leader Silicon Valley cell "；Punctuate-", "；Noun-" area "；Adjective-
" being less than "；Number-" 90 is flat "；Punctuate-", "；Noun-" price "；Preposition-" "；Number-" 2,000,000 "；The noun of locality-" within "；
Auxiliary word-" "；Noun-" source of houses ".
Server can first analyze the noun in semantic analysis data, if one of noun and database
In a cell name prestoring match, for example, noun-" leader Silicon Valley cell " and a cell name phase in database
Matching, then server can continue to search noun " area " and " price " in semantic analysis data, and based on context search
" area " and " price " respective corresponding restriction range.
For example, server can search number from the context of " price " this noun, possible situation is 90 gentle 200
Ten thousand, server can speculate that " ten thousand " are more like the unit of value, it is possible to use 2,000,000 as the price of the source of houses, in conjunction with upper
Hereinafter the noun of locality " within ", the corresponding restriction range that can set price is: within 2,000,000.And so on, server
It can determine that the corresponding restriction range of area is: less than 90 flat.
Then, server can determine source of houses qualifications are as follows: affiliated subdistrict is leader Silicon Valley cell, and area is less than 90
It is flat, the source of houses of the price within 2,000,000.
In the method provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, if including in lteral data
First default noun and default verb, then divide lteral data according to part of speech and punctuation mark, obtains corresponding semanteme
Data are analyzed, if the first noun in semantic analysis data matches with the first community title in database, from semanteme point
Analysis data in search the second noun and restriction range corresponding with the second noun, according to the first noun, the second noun and
Restriction range corresponding with the second noun, determines source of houses qualifications, this makes the method more scientific.
Optionally, on the basis of the above embodiments, the method also includes:
If in the semantic analysis data include the second default noun, from the semantic analysis data search with it is described
The relevant concept noun of second default noun；
It is obtained from database corresponding with the concept noun for explaining the video file of the concept noun；
Mobile terminal by the video file in the user plays out.
Specifically, server can preset a noun, which can be denoted as to the second default noun, and second is pre-
If " what " noun can be set as.For example, the voice data of user's input is " what is to say room ".Then server can be according to
The voice data is converted into lteral data, and carries out semantic analysis to lteral data by method described in above-described embodiment, is obtained
To semantic analysis data.
Due to including the second default noun " what " in semantic analysis data, then server can be from semantic analysis data
Search corresponding concept noun " saying room ".After getting the concept noun, server can obtain preparatory record from database
The video file that " saying room " this concept noun is explained made, and the video file is mobile in mobile phone of user etc.
Terminal plays out.
In the method provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, if in semantic analysis data
Comprising the second default noun, then concept noun relevant to the second default noun is searched from semantic analysis data, from database
It is middle obtain it is corresponding with concept noun be used to explain the video file of concept noun, by video file user mobile terminal
It plays out.This method may be implemented to explain some concept nouns, play the role of house property industry interaction encyclopaedia, thus
House property end product the activity of the user can be improved, further increase client user's viscosity of house property industry.
Optionally, on the basis of the above embodiments, the method also includes:
If the information of real estate of user's concern updates, generates corresponding information of real estate and update dynamic message；
Obtain the voice skin of user's selection；
According to the voice skin, dynamic message is updated to the information of real estate and carries out voice broadcast.
Specifically, each user can pay close attention to one or more sources of houses.If one or more rooms of user concern
The information in source updates, then a corresponding information of real estate update dynamic message can be generated in server.
Server can preset a lot of voice skin, for example, voice skin may include: " sweet type ", " female's Chinese
Subtype " and " Loli's type ", different voice skin is corresponding to have different timbres.User can select a kind of language according to personal preference
Sound skin.
The voice skin of the available user's selection of server, after the user is logged in by mobile terminals such as mobile phones,
Dynamic message can be updated to information of real estate according to the voice skin and carry out voice broadcast, which is reminded.
In the method provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, if the source of houses of user's concern
Information updates, then generates corresponding information of real estate and update dynamic message, the voice skin of user's selection is obtained, according to voice
Skin updates dynamic message to information of real estate and carries out voice broadcast, and this method can miss source of houses dynamic message to avoid user, make
It is more scientific to obtain the method.
Fig. 2 is the structural schematic diagram of the system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity.
As shown in Fig. 2, the system comprises: obtain module 20, conversion module 21, input module 22 and display module 23, in which:
It obtains module 20 and is used to obtain the voice for being used to obtain the target source of houses that client user is inputted by mobile terminal
Data；Conversion module 21 is used to the voice data being converted into corresponding lteral data；Input module 22 is used for the text
Digital data is input in source of houses decision tree, obtains the information of real estate for meeting the user demand；Display module 23 is used for will be described
Information of real estate is shown in the mobile terminal of the user.
Specifically, the system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity may include: to obtain
Modulus block 20, conversion module 21, input module 22 and display module 23.
The available client user of module 20 is obtained by the input of the mobile terminals such as mobile phone for obtaining the target source of houses
Voice data, the voice data that conversion module 21 can will acquire is converted into corresponding lteral data.For example, user speech
Input " search leader Silicon Valley cell, area is flat less than 90, the source of houses of the price within 2,000,000 ", conversion module 21 can should
Voice data is converted into corresponding lteral data.
The lteral data being converted to can be input in the source of houses decision tree pre-established by input module 22, be obtained
Meet the information of real estate of the user demand.Display module 23 can obtain these informations of real estate from source of houses database, and at this
The mobile terminals such as the mobile phone of user are shown these informations of real estate.
The system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, function is referring in particular to above-mentioned
Embodiment of the method, details are not described herein again.
The system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, by obtaining client user
The voice data for being used to obtain the target source of houses inputted by mobile terminal, converts voice data to corresponding lteral data,
Lteral data is input in source of houses decision tree, the information of real estate for meeting user demand is obtained, information of real estate is shown in user
Mobile terminal.The system carries out human-computer interaction based on the mode that voice inputs, it is no longer necessary to complicated manual operation, no longer
It is limited by mobile terminal the small screen, improves the usage experience of user, so as to improve the client user of house property industry
Viscosity.
Optionally, on the basis of the above embodiments, the input module includes: to analyze submodule and acquisition submodule,
Wherein:
Analysis submodule is used to analyze the lteral data using presupposition analysis strategy, determines that the source of houses limits item
Part；Acquisition submodule is used to obtain the information of real estate for meeting the user demand according to the source of houses qualifications.
Specifically, input module described in above-described embodiment may include: analysis submodule and acquisition submodule.
Preset analysis strategy can be used by analyzing submodule, be analyzed the lteral data obtained after conversion, root
Source of houses qualifications are determined according to analysis result, wherein source of houses qualifications may include: cell name belonging to the source of houses, the source of houses
Area and the price of the source of houses etc..
After analysis submodule determines source of houses qualifications, acquisition submodule can search all from source of houses database
Meet the information of real estate of the source of houses qualifications, and the information of real estate found is obtained out, these informations of real estate are exactly full
The information of real estate of sufficient user demand.
The system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, by using presupposition analysis plan
Slightly lteral data is analyzed, determines source of houses qualifications, according to source of houses qualifications, obtains the source of houses for meeting user demand
Information, this makes the system more scientific.
Optionally, on the basis of the above embodiments, the analysis submodule is specifically used for:
If in the lteral data including the first default noun and default verb, to the lteral data according to part of speech and
Punctuation mark is divided, and corresponding semantic analysis data are obtained；
If the first noun in the semantic analysis data matches with the first community title in database, from described
The second noun and restriction range corresponding with second noun are searched in semantic analysis data；Wherein, the second place
Word includes: area and price；
According to first noun, second noun and restriction range corresponding with second noun, determine
The source of houses qualifications.
Specifically, analysis submodule can determine source of houses qualifications as follows.
The first default noun can be used as " source of houses " by analyzing submodule, by " search " as default verb, if text
Include the default noun and the default verb in data, then can divide lteral data according to part of speech and punctuation mark,
Obtain corresponding semantic analysis data.For example, lteral data is that " search leader Silicon Valley cell, area is flat less than 90, and price exists
Whether the source of houses within 2000000 ", analysis submodule can obtain according to part of speech and be that punctuation mark divides this section of words
The semantic analysis data arrived are as follows: verb-" search "；Noun-" leader Silicon Valley cell "；Punctuate-", "；Noun-" area "；It describes
Word-" is less than "；Number-" 90 is flat "；Punctuate-", "；Noun-" price "；Preposition-" "；Number-" 2,000,000 "；The noun of locality-" with
It is interior "；Auxiliary word-" "；Noun-" source of houses ".
Analysis submodule can first analyze the noun in semantic analysis data, if one of noun and number
Match according to the cell name prestored in library, for example, a cell name in noun " leader Silicon Valley cell " and database
Title matches, then server can continue to search noun " area " and " price " in semantic analysis data, and based on context
Search " area " and " price " respectively corresponding restriction range.
For example, analysis submodule can search number from the context of " price " this noun, possible situation is 90 flat
With 2,000,000, analysis submodule can speculate that " ten thousand " are more like the unit of value, it is possible to use 2,000,000 as the price of the source of houses,
In conjunction in context the noun of locality " within ", the restriction range that can be set price is: within 2,000,000.And so on, analysis
Submodule can determine that the restriction range of area is: less than 90 flat.
Then, analysis submodule can determine source of houses qualifications are as follows: affiliated subdistrict is leader Silicon Valley cell, and area is small
It is flat in 90, the source of houses of the price within 2,000,000.
In the system provided in an embodiment of the present invention for improving house property industry customer end subscriber viscosity, if including in lteral data
First default noun and default verb, then divide lteral data according to part of speech and punctuation mark, obtains corresponding semanteme
Data are analyzed, if the first noun in semantic analysis data matches with the first community title in database, from semanteme point
Analysis data in search the second noun and restriction range corresponding with the second noun, according to the first noun, the second noun and
Restriction range corresponding with the second noun, determines source of houses qualifications, this makes the system more scientific.
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, the equipment includes: place
Manage device (processor) 31, memory (memory) 32 and bus 33, in which:
The processor 31 and the memory 32 complete mutual communication by the bus 33；The processor 31
For calling the program instruction in the memory 32, to execute method provided by above-mentioned each method embodiment, for example,
Obtain the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；The voice data is converted
At corresponding lteral data；The lteral data is input in source of houses decision tree, the source of houses for meeting the user demand is obtained
Information；Mobile terminal by the information of real estate in the user is shown.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example, obtains client and uses
The voice data for being used to obtain the target source of houses that family is inputted by mobile terminal；The voice data is converted into corresponding text
Data；The lteral data is input in source of houses decision tree, the information of real estate for meeting the user demand is obtained；By the room
Source information is shown in the mobile terminal of the user.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer instruction, the computer instruction make the computer execute side provided by above-mentioned each method embodiment
Method, for example, obtain the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；It will be described
Voice data is converted into corresponding lteral data；The lteral data is input in source of houses decision tree, obtains meeting the use
The information of real estate of family demand；Mobile terminal by the information of real estate in the user is shown.
The embodiments such as electronic equipment described above are only schematical, wherein it is described as illustrated by the separation member
Unit may or may not be physically separated, and component shown as a unit may or may not be object
Manage unit, it can it is in one place, or may be distributed over multiple network units.It can select according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying wound
In the case where the labour for the property made, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
The above examples are only used to illustrate the technical scheme of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these are modified or replace
It changes, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method for improving house property industry customer end subscriber viscosity characterized by comprising
Obtain the voice data for being used to obtain the target source of houses that client user is inputted by mobile terminal；
The voice data is converted into corresponding lteral data；
The lteral data is input in source of houses decision tree, the information of real estate for meeting the user demand is obtained；
Mobile terminal by the information of real estate in the user is shown.
2. the method according to claim 1, wherein described be input to source of houses decision tree for the lteral data
In, obtain the information of real estate for meeting the user demand, comprising:
The lteral data is analyzed using presupposition analysis strategy, determines source of houses qualifications；
According to the source of houses qualifications, the information of real estate for meeting the user demand is obtained.
3. according to the method described in claim 2, it is characterized in that, it is described using presupposition analysis strategy to the lteral data into
Row analysis, determines source of houses qualifications, comprising:
If including the first default noun and default verb in the lteral data, to the lteral data according to part of speech and punctuate
Symbol is divided, and corresponding semantic analysis data are obtained；
If the first noun in the semantic analysis data matches with the first community title in database, from the semanteme
The second noun and restriction range corresponding with second noun are searched in analysis data；Wherein, the second noun packet
It includes: area and price；
According to first noun, second noun and restriction range corresponding with second noun, determine described in
Source of houses qualifications.
4. according to the method described in claim 3, it is characterized by further comprising:
If in the semantic analysis data including the second default noun, searched and described second from the semantic analysis data
The default relevant concept noun of noun；
It is obtained from database corresponding with the concept noun for explaining the video file of the concept noun；
Mobile terminal by the video file in the user plays out.
5. the method according to claim 1, wherein further include:
If the information of real estate of user's concern updates, generates corresponding information of real estate and update dynamic message；
Obtain the voice skin of user's selection；
According to the voice skin, dynamic message is updated to the information of real estate and carries out voice broadcast.
6. a kind of system for improving house property industry customer end subscriber viscosity characterized by comprising
Module is obtained, the voice data for being used to obtain the target source of houses inputted for obtaining client user by mobile terminal；
Conversion module, for the voice data to be converted into corresponding lteral data；
Input module obtains the source of houses for meeting the user demand for the lteral data to be input in source of houses decision tree
Information；
Display module is shown for the mobile terminal by the information of real estate in the user.
7. system according to claim 6, which is characterized in that the input module includes:
Submodule is analyzed, for analyzing using presupposition analysis strategy the lteral data, determines source of houses qualifications；
Acquisition submodule, for obtaining the information of real estate for meeting the user demand according to the source of houses qualifications.
8. system according to claim 7, which is characterized in that the analysis submodule is specifically used for:
If including the first default noun and default verb in the lteral data, to the lteral data according to part of speech and punctuate
Symbol is divided, and corresponding semantic analysis data are obtained；
If the first noun in the semantic analysis data matches with the first community title in database, from the semanteme
The second noun and restriction range corresponding with second noun are searched in analysis data；Wherein, the second noun packet
It includes: area and price；
According to first noun, second noun and restriction range corresponding with second noun, determine described in
Source of houses qualifications.
9. a kind of electronic equipment, which is characterized in that including memory and processor, the processor and the memory pass through always
Line completes mutual communication；The memory is stored with the program instruction that can be executed by the processor, the processor tune
Method as claimed in claim 1 to 5 is able to carry out with described program instruction.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
Processor realizes method as claimed in claim 1 to 5 when executing.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810706840.8A CN109165990A (en) | 2018-07-02 | 2018-07-02 | A kind of method and system improving house property industry customer end subscriber viscosity |
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| CN201810706840.8A CN109165990A (en) | 2018-07-02 | 2018-07-02 | A kind of method and system improving house property industry customer end subscriber viscosity |
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| CN109165990A true CN109165990A (en) | 2019-01-08 |
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| CN201810706840.8A Pending CN109165990A (en) | 2018-07-02 | 2018-07-02 | A kind of method and system improving house property industry customer end subscriber viscosity |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112487310A (en) * | 2020-10-23 | 2021-03-12 | 贝壳技术有限公司 | Cell recommendation method and system |
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| CN112487310B (en) * | 2020-10-23 | 2023-02-17 | 贝壳技术有限公司 | Cell recommendation method and system |
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