CN111159334A - Method and system for house source follow-up information processing - Google Patents
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Abstract
The invention provides a method and a system for house source follow-up information processing, and belongs to the technical field of house information processing. The method comprises the following steps: the method comprises the steps of obtaining interactive content provided by a first object providing house source service, identifying the interactive content, obtaining a follow-up information text corresponding to a house source, and recording the associated follow-up information text and the house source in a house source follow-up data set; the method comprises the steps of obtaining a query request provided by a second object providing house source service, selecting house sources and follow-up information texts in the house source follow-up data set according to the query request, and executing content response corresponding to the query request by using the selected house sources and follow-up information texts. The invention ensures that the house source follow-up information has usability and recalling performance, and can be used for improving the operation efficiency of the broker on the follow-up matters.
Description
Technical Field
The invention relates to the technical field of house information processing, in particular to a method for house source follow-up information processing, a system for house source follow-up information processing, equipment for house source follow-up information processing and a computer readable storage medium.
Background
At present, a house source follow-up information input mode of a broker providing house service is single, and various inconveniences exist in a mode of typing and inputting through mobile terminals such as a mobile phone, for example, when the broker goes out for operation, the operation can be influenced by inputting the follow-up information in a typing mode, and the surrounding environment is not suitable for sorting and inputting the follow-up information, so that the inconvenience is caused, and the willingness of the broker to input the follow-up information is reduced; secondly, the utilization rate of follow-up information is low, each house source has hundreds of pieces of follow-up information, a broker is difficult to mine valuable information, each piece of follow-up information needs to be screened in sequence, and the workload of the broker is increased; in addition, the broker lacks an entry for real-time communication on the follow-up page, and the related broker who enters the follow-up information can not be found to answer the doubtful situation existing in the follow-up information, so that the availability of the house source information is lost.
Disclosure of Invention
The invention aims to provide a method and a system for processing house source follow-up information, and the prior art has the technical problems that the method and the system are not suitable for effectively inputting follow-up information, the input follow-up information is difficult to recall, and the follow-up information does not have usability relative to a broker which is not a follow-up information input person.
In order to achieve the above object, an embodiment of the present invention provides a method for house source follow-up information processing, where the method includes:
the method comprises the steps of obtaining interactive content provided by a first object providing house source service, identifying the interactive content, obtaining follow-up information text corresponding to a house source, and recording the associated follow-up information text and the house source in a house source follow-up data set, wherein the interactive content comprises at least one type of voice interactive content in Mandarin Chinese voice interactive content, dialect voice interactive content and interactive content mixed by the Mandarin Chinese voice interactive content and the dialect voice interactive content, and the follow-up information text at least has partial description information about the house source in the interactive content;
the method comprises the steps of obtaining a query request provided by a second object providing house source service, selecting house sources and follow-up information texts in the house source follow-up data set according to the query request, and executing content response corresponding to the query request by using the selected house sources and follow-up information texts.
Specifically, the obtaining of the interactive content provided by the first object providing the house source service and the identifying of the interactive content include:
acquiring first voice interaction content provided by a first object providing a room source service;
converting the first voice interaction content into a voice map;
and identifying the voice map as a text to be processed.
Specifically, after the interactive content is identified and before the follow-up information text corresponding to the house source is obtained, the method includes:
if the character strings belonging to a preset text character string set exist in the text to be processed, locating a house source corresponding to the first voice interaction content and/or determining current follow-up items according to the character strings, wherein the preset text character string set at least comprises a house dictionary and follow-up items of different types.
Specifically, the recording the associated follow-up information text and the house source in a house source follow-up data set includes:
and dividing the follow-up information text into short texts, establishing a corresponding relation between the short texts and the identifier of the house source, and indexing the follow-up information text, the identifier of the house source and the corresponding relation into a house source follow-up data set.
Specifically, the obtaining of the query request provided by the second object providing the house resource service includes:
acquiring second voice interaction content provided by a second object providing the room source service;
and identifying the second voice interaction content as a query text, and generating a query request through the query text.
Specifically, the selecting a house source and a follow-up information text in the house source follow-up data set according to the query request includes:
analyzing the query request as a query short text, searching in the house source follow-up data set by using the query short text, marking the house source in the house source follow-up data set and marking a follow-up information text with all or part of the query short text.
Specifically, the executing a content response corresponding to the query request by using the selected house source and the follow-up information text includes:
generating a candidate house source follow-up data list with associated identifiers and abbreviated texts by utilizing the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
presenting the list of candidate house source follow-up data as a content response.
Specifically, step S2) further includes, after the executing the content response corresponding to the query request, that:
and updating the query request by using the associated identifier and the abbreviation text in the candidate house source follow-up data list, and selecting the house source and the follow-up information text in the house source follow-up data set again according to the updated query request.
Specifically, the method further comprises:
presenting the selected house source and the follow-up information text as a content response, wherein an identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
providing the identifier of the first object to the second object, and establishing an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
The embodiment of the invention provides a system for house source follow-up information processing, which comprises:
the recording module is configured to acquire interactive content provided by a first object providing a house source service, recognize the interactive content, acquire a follow-up information text corresponding to a house source, and record the associated follow-up information text and the house source in a house source follow-up data set, wherein the interactive content comprises at least one type of voice interactive content from Mandarin Chinese voice interactive content, dialect voice interactive content and interactive content mixed by the Mandarin Chinese voice interactive content and the dialect voice interactive content, and the follow-up information text at least has partial description information about the house source in the interactive content;
and the query module is configured to acquire a query request provided by a second object providing a house source service, select a house source and a follow-up information text in the house source follow-up data set according to the query request, and execute a content response corresponding to the query request by using the selected house source and follow-up information text.
Optionally, the entry module is configured to specifically obtain a first voice interaction content provided by a first object providing a room source service;
the entry module is configured to specifically convert the first voice interaction content into a voice map;
the entry module is configured to specifically identify the voice map as a text to be processed.
Optionally, the entry module is further configured to specifically locate a house source corresponding to the first voice interaction content and/or determine a current follow-up item according to a character string belonging to a preset text character string set if the character string exists in the text to be processed, where the preset text character string set at least includes a house dictionary and different types of follow-up items.
Optionally, the entry module is configured to specifically segment the follow-up information text into short texts, establish a correspondence between the short texts and the identifiers of the house sources, and index the follow-up information text, the identifiers of the house sources, and the correspondence into the house source follow-up data set.
Optionally, the query module is configured to specifically obtain a second voice interaction content provided by a second object providing a room source service;
the query module is configured to specifically identify the second voice interaction content as a query text, and generate a query request through the query text.
Optionally, the query module is configured to specifically analyze the query request as a query short text, search in the house source follow-up dataset by using the query short text, mark a house source in the house source follow-up dataset, and mark a follow-up information text having all or part of the query short text.
Optionally, the query module is configured to generate a candidate house source follow-up data list with associated identifiers and abbreviated texts by using the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
the query module is configured to specifically present the list of candidate house source follow-up data as a content response.
Optionally, the query module is further configured to update the query request with the associated identifier and the thumbnail text in the candidate house source follow-up data list, and select the house source and the follow-up information text in the house source follow-up data set again according to the updated query request.
Optionally, the system further comprises:
a conversation module configured to respond to presenting, as content, a selected house source and a follow-up information text, wherein an identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
the session module is configured to provide an identifier of the first object to the second object, and establish an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
In another aspect, an embodiment of the present invention provides an apparatus for house source follow-up information processing, including:
at least one processor;
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implements the aforementioned method by executing the instructions stored by the memory.
In yet another aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions, which, when executed on a computer, cause the computer to perform the foregoing method.
According to the invention, through interactive content identification, follow-up information retrieval and instant message conversation, the efficiency of entering follow-up information by a broker is improved, high-accuracy call of the follow-up information is realized, and the availability and the utilization rate of the follow-up information are realized.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic diagram of the main flow of the method of the embodiment of the present invention
FIG. 2 is a schematic diagram of a main architecture of the system according to the embodiment of the present invention;
fig. 3 is a schematic diagram of a work flow of text recognition by DFCNN through speech according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of a portion of an index engine according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an instant messaging session architecture according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Example 1
An embodiment of the present invention provides a method for house source follow-up information processing, as shown in fig. 1, the method includes:
s1), acquiring interactive content provided by a first object providing house source service, identifying the interactive content, acquiring a follow-up information text corresponding to a house source, and recording the associated follow-up information text and the house source in a house source follow-up data set, wherein the follow-up information text at least has partial description information about the house source in the interactive content;
s2) obtaining a query request provided by a second object providing a house source service, selecting a house source and a follow-up information text in the house source follow-up data set according to the query request, and executing a content response corresponding to the query request using the selected house source and follow-up information text;
the first object or the second object may be terminals owned by a plurality of brokers providing the house source service within a certain range (such as a range of grouping work by street, county), such as a telephone operator and a mobile phone; for the relationship between the first object and the second object, the first object may be the second object, may also be some objects in the second object, and may also contain the second object; each broker may have a unique identifier that, during recording of the associated follow-up information text and the house source in a house source follow-up dataset, has a correspondence with the associated follow-up information text and the house source and is also recorded in a house source follow-up dataset; the house source follow-up data set can be a database of an index engine or an independent database; the indexing engine can be Solr or elastic search; the first object may provide the query request, and the second object may provide the interactive content; if the interactive content and the query request are voice interactive content, the first words in the word sequence can be taken as a basis for judging whether the current object provides the query request or provides the interactive content; in some implementations, after the house source follow-up data set accumulates certain house source follow-up data, step S1) and step S2) will not have a precedence order, i.e., step S2) may be executed prior to step S1), or may be executed synchronously or in parallel with step S1); it should be noted that the selected house source and follow-up information text do not necessarily correspond to the query request match, and may be fuzzy or similar (which may be achieved by searching using a fuzzy dictionary), or completely unrelated (e.g., randomly selected).
As shown in fig. 2, the broker enters follow-up information through real-time voice, a voice recognition module in the terminal converts the voice information into text information and stores the text information in a retrieval database, the broker can retrieve the follow-up information through a retrieval frame, and meanwhile, the broker can also communicate with the broker entering the follow-up information through a real-time chat button in real time.
Specifically, the interactive content in step S1) includes:
the system comprises at least one of Mandarin Chinese voice interactive contents, dialect voice interactive contents and interactive contents mixed by the Mandarin Chinese voice interactive contents and the dialect voice interactive contents.
The full convolution neural network can be trained by collecting the three types of voice interaction content samples in advance, and then voice segments are collected through the broker terminal, so that texts corresponding to various types of voice interaction content are identified and obtained.
Specifically, the step S1) of obtaining the interactive content provided by the first object providing the house source service, and identifying the interactive content includes:
acquiring first voice interaction content provided by a first object providing a room source service;
converting the first voice interaction content into a voice map;
and identifying the voice map as a text to be processed.
Specifically, step S1) includes, after identifying the interactive content and before obtaining the follow-up information text corresponding to the house source:
if the character strings belonging to a preset text character string set exist in the text to be processed, locating a house source corresponding to the first voice interaction content and/or determining current follow-up items according to the character strings, wherein the preset text character string set at least comprises a house dictionary and follow-up items of different types.
Specifically, the step S2) obtains the query request provided by the second object providing the house source service, specifically:
acquiring second voice interaction content provided by a second object providing the room source service;
and identifying the second voice interaction content as a query text, and generating a query request through the query text.
In order to realize a complete phonetic entry and query process, the positioning information of the house source can be acquired through a preset text character string set (for example, identifiers can be numbers or unique character strings); the follow-up item can be whether the owner of the related house source considers price reduction or whether the client has the intention of purchasing a new house or participates in survey or inquiry items such as house watching, and the follow-up item can be configured with attributes such as completion state and progress condition; the first object and the second object may create a new follow-up or update attributes such as the status of an existing follow-up.
As shown in fig. 3, aiming at the problem of inconvenience in recording, the following information of voice recording is added; compared with the traditional voice input function, aiming at the characteristic that the broker is from the five lakes and four seas, the function of dialect input follow-up is supported, such as Hunan language, Henan language, Guangdong language and the like, and meanwhile, a Deep full-sequence convolutional neural network (DFCNN) is adopted on a voice recognition model; the best speech recognition system at present adopts a bidirectional long-time memory network, but the bidirectional LSTM network has the problems of high training complexity and high decoding delay, so that the bidirectional LSTM network is difficult to apply to a real-time recognition system in the industry, and the deep full-sequence convolutional neural network overcomes the defects of the bidirectional LSTM; secondly, from the input end, the traditional voice characteristics use various artificially designed filter banks to extract the characteristics after Fourier transform, which causes information loss in a frequency domain, the information loss in a high-frequency region is particularly obvious, and the traditional voice characteristics need to adopt very large frame shift for the consideration of calculated amount, which undoubtedly causes information loss in a time domain and is more prominent when the speaker has fast speaking speed; therefore, the DFCNN directly takes the voice map as input and analyzes the voice map by applying the principle of image recognition, so that the DFCNN has outstanding advantages compared with other voice recognition frameworks taking traditional voice characteristics as input.
Specifically, step S1) records the associated follow-up information text and the house source in a house source follow-up data set, including:
and dividing the follow-up information text into short texts, establishing a corresponding relation between the short texts and the identifier of the house source, and indexing the follow-up information text, the identifier of the house source and the corresponding relation into a house source follow-up data set.
Specifically, the step S2) of selecting the house source and the follow-up information text in the house source follow-up data set according to the query request includes:
analyzing the query request as a query short text, searching in the house source follow-up data set by using the query short text, marking the house source in the house source follow-up data set and marking the follow-up information text with all or part of the query short text, wherein the marking mode can be to add highlight display attribute to the text of the marked part.
As shown in fig. 4, for the recall problem, the conventional mysql data storage mode is abandoned, and a search framework, namely, an Elasticsearch, is used as a basis of a search engine, so that the search utilization rate of house source follow-up information is improved; the Elasticissearch is a distributed, highly-extended and highly-real-time search and data analysis engine, and can conveniently enable a large amount of data to have the search and analysis capabilities; the method adopts a visualization tool Kibana (with Index table Index, category table type, file table document, field or domain classification field and mapping) provided by the elastic search to construct a data storage structure, and adopts an IK word segmentation device (with IK _ smart and IK _ max granularity selection functions) to segment the follow-up information text.
Specifically, the executing of the content response corresponding to the query request in step S2) by using the selected house source and the follow-up information text includes:
generating a candidate house source follow-up data list with associated identifiers and abbreviated texts by utilizing the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
presenting the list of candidate house source follow-up data as a content response.
Step S2) further includes:
and updating the query request by using the associated identifier and the abbreviation text in the candidate house source follow-up data list, and selecting the house source and the follow-up information text in the house source follow-up data set again according to the updated query request.
Search suggestions can be conveniently and quickly searched and provided, even if the query request has partial wrongly written words, complete and correct search suggestions can be provided, and the recall rate is increased.
S3) presenting the selected house source and the follow-up information text as a content response, wherein the identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
s4) providing the identifier of the first object to the second object, and establishing an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
As shown in fig. 5, for the problem of availability of follow-up information, after the follow-up information is successfully recalled, based on a WebSocket communication framework, terminals corresponding to identifiers can be found through broker identifiers preset in an elastic search, and an instant message session between brokers is created between the terminals, so as to improve the communication efficiency of the brokers and improve the circulation efficiency of house source information; for example, in the process of sharing the chat records with the clients in the follow-up information, the client chat record information of the broker inputting the follow-up information is firstly obtained from a search library, and then the client chat record information is pushed to the corresponding broker.
Example 2
The embodiment of the invention and the embodiment 1 belong to the same inventive concept; the embodiment of the invention provides a system for house source follow-up information processing, which comprises: a follow-up module; in some implementations, the follow-up module can be divided into a plurality of sub-modules, and each sub-module can execute instructions corresponding to one or more steps (or has functions corresponding to one or more steps); the plurality of sub-modules includes:
the system comprises an input module, a first object and a second object, wherein the input module is configured to acquire interactive content provided by the first object providing house source service, identify the interactive content, acquire a follow-up information text corresponding to a house source, and record the associated follow-up information text and the house source in a house source follow-up data set, wherein the follow-up information text at least has partial description information about the house source in the interactive content; and
the query module is configured to acquire a query request provided by a second object providing a house source service, select a house source and a follow-up information text in the house source follow-up data set according to the query request, and execute a content response corresponding to the query request by using the selected house source and follow-up information text;
the logging module and/or the query module may have one or a cluster Elasticsearch engine;
the entry module is configured to specifically obtain a first voice interaction content provided by a first object providing a house source service;
the entry module is configured to specifically convert the first voice interaction content into a voice map;
the entry module is configured to specifically identify the voice map as a text to be processed.
Preferably, the entry module is further configured to specifically locate a house source corresponding to the first voice interaction content and/or determine a current follow-up item according to a character string belonging to a preset text character string set if the character string exists in the text to be processed, where the preset text character string set at least has a house dictionary and different types of follow-up items.
Preferably, the entry module is configured to specifically segment the follow-up information text into short texts, establish a correspondence between the short texts and the identifier of the house source, and index the follow-up information text, the identifier of the house source, and the correspondence into the house source follow-up data set.
Preferably, the query module is configured to specifically obtain a second voice interaction content provided by a second object providing a house source service;
the query module is configured to specifically identify the second voice interaction content as a query text, and generate a query request through the query text.
Preferably, the query module is configured to specifically analyze the query request as a query short text, search in the house source follow-up data set by using the query short text, mark a house source in the house source follow-up data set, and mark a follow-up information text having all or part of the query short text.
Preferably, the query module is configured to generate a candidate house source follow-up data list with associated identifiers and abbreviated texts, specifically using the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
the query module is configured to specifically present the list of candidate house source follow-up data as a content response.
Preferably, the query module is further configured to update the query request with the associated identifier and the abbreviated text in the candidate house source follow-up data list, and select the house source and the follow-up information text in the house source follow-up data set again according to the updated query request.
Optionally, the follow-up module further includes:
a conversation module configured to respond to presenting, as content, a selected house source and a follow-up information text, wherein an identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
the session module is configured to provide an identifier of the first object to the second object, and establish an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
In some specific implementations, a terminal of a broker can be matched, and when the follow-up information is input, a real-time voice recognition mode can be adopted to recognize the voice into a text; the back-end architecture can enable the text information and the system number of the broker to fall into a search library corresponding to an Elasticissearch engine; when facing massive follow-up information, the broker can quickly and accurately position the desired follow-up information through the follow-up retrieval box; the broker can also be used for solving the problem that a certain follow-up information is puzzled, and can communicate with the input person on line in real time through the click link provided by the system so as to finish the follow-up item on the basis of a certain follow-up history as soon as possible.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (10)
1. A method for house source follow-up information processing, the method comprising:
the method comprises the steps of obtaining interactive content provided by a first object providing house source service, identifying the interactive content, obtaining follow-up information text corresponding to a house source, and recording the associated follow-up information text and the house source in a house source follow-up data set, wherein the interactive content comprises at least one type of voice interactive content in Mandarin Chinese voice interactive content, dialect voice interactive content and interactive content mixed by the Mandarin Chinese voice interactive content and the dialect voice interactive content, and the follow-up information text at least has partial description information about the house source in the interactive content;
the method comprises the steps of obtaining a query request provided by a second object providing house source service, selecting house sources and follow-up information texts in the house source follow-up data set according to the query request, and executing content response corresponding to the query request by using the selected house sources and follow-up information texts.
2. The method for house source follow-up information processing according to claim 1, wherein the obtaining interactive contents provided by a first object providing house source services, and the identifying the interactive contents comprises:
acquiring first voice interaction content provided by a first object providing a room source service;
converting the first voice interaction content into a voice map;
and identifying the voice map as a text to be processed.
3. The method for house source follow-up information processing according to claim 1, wherein the performing of the content response corresponding to the query request by using the selected house source and follow-up information text comprises:
generating a candidate house source follow-up data list with associated identifiers and abbreviated texts by utilizing the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
presenting the list of candidate house source follow-up data as a content response.
4. The method for house source follow-up information processing according to claim 1, further comprising:
presenting the selected house source and the follow-up information text as a content response, wherein an identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
providing the identifier of the first object to the second object, and establishing an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
5. A system for house source follow-up information processing, the system comprising:
the recording module is configured to acquire interactive content provided by a first object providing a house source service, recognize the interactive content, acquire a follow-up information text corresponding to a house source, and record the associated follow-up information text and the house source in a house source follow-up data set, wherein the interactive content comprises at least one type of voice interactive content from Mandarin Chinese voice interactive content, dialect voice interactive content and interactive content mixed by the Mandarin Chinese voice interactive content and the dialect voice interactive content, and the follow-up information text at least has partial description information about the house source in the interactive content;
and the query module is configured to acquire a query request provided by a second object providing a house source service, select a house source and a follow-up information text in the house source follow-up data set according to the query request, and execute a content response corresponding to the query request by using the selected house source and follow-up information text.
6. The system for house source follow-up information processing according to claim 5,
the entry module is configured to specifically obtain a first voice interaction content provided by a first object providing a house source service;
the entry module is configured to specifically convert the first voice interaction content into a voice map;
the entry module is configured to specifically identify the voice map as a text to be processed.
7. The system for house source follow-up information processing according to claim 5,
the query module is configured to generate a candidate house source follow-up data list with associated identifiers and abbreviated texts by using the identifiers of the selected house sources and the abbreviated texts of the selected follow-up information texts, wherein the abbreviated texts are partial text sections of the selected follow-up information texts;
the query module is configured to specifically present the list of candidate house source follow-up data as a content response.
8. The system for house source follow-up information processing according to claim 5, further comprising:
a conversation module configured to respond to presenting, as content, a selected house source and a follow-up information text, wherein an identifier of the selected house source and the follow-up information text belong to the follow-up information text and the house source obtained by the interactive content provided by the first object;
the session module is configured to provide an identifier of the first object to the second object, and establish an instant messaging session between the second object and the first object, optionally via the identifier of the second object and the identifier of the first object.
9. An apparatus for house source follow-up information processing, comprising:
at least one processor;
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the method of any one of claims 1 to 4 by executing the instructions stored by the memory.
10. A computer readable storage medium storing computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 4.
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| CN201911261498.6A CN111159334A (en) | 2019-12-10 | 2019-12-10 | Method and system for house source follow-up information processing |
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