CN109101606B - Data processing method and device for industry information and server - Google Patents
Data processing method and device for industry information and server Download PDFInfo
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- CN109101606B CN109101606B CN201810869620.7A CN201810869620A CN109101606B CN 109101606 B CN109101606 B CN 109101606B CN 201810869620 A CN201810869620 A CN 201810869620A CN 109101606 B CN109101606 B CN 109101606B
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Abstract
The application discloses a data processing method and device for industrial intelligence and a server. The processing method comprises the steps of collecting industry information in a network server; executing preset classification processing according to different publishing servers; and obtaining intelligence data according to the classification processing result. The application solves the technical problem of poor data processing effect for industrial information. The method and the device are used for preparing and effectively acquiring industry information. In addition, the method and the device can be used for industry information statistics of advertisement data delivery and visual processing.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a data processing method, apparatus, and server for industry intelligence.
Background
Industry intelligence mainly refers to the trend of acquiring industry. In particular, internet marketing is more dependent on accurate industry intelligence obtained through an internet platform.
The inventor finds that accurate internet industry information cannot be obtained in real time at present, and further popularization information aiming at various industries is influenced. Further, industry intelligence lacks efficient real-time updates.
Aiming at the problem of poor data processing effect of industry information in the related technology, no effective solution is provided at present.
Disclosure of Invention
The application mainly aims to provide a data processing method, a device and a server for industry information so as to solve the problem of poor data processing effect of the industry information.
To achieve the above object, according to one aspect of the present application, there is provided a data processing method for industry intelligence.
The data processing method for industry intelligence according to the application comprises the following steps: collecting industry information in a network server; executing preset classification processing according to different publishing servers; and obtaining intelligence data according to the classification processing result.
To achieve the above object, according to one aspect of the present application, there is provided a data processing method for industry intelligence.
The data processing method for industry intelligence according to the application comprises the following steps:
collecting industry information in a network server;
executing preset classification processing according to different receiving clients; and
and obtaining intelligence data according to the classification processing result.
Further, collecting industry intelligence in the web server at least comprises: the amount of advertisement placement.
Further, the preset classification processing includes: classified by popular industry, by keywords, or by search engine.
Further, obtaining intelligence data according to the classification processing result includes: classifying the intelligence data according to the ranking classification result of the intelligence data; dividing the information data classification result according to a preset cut-off time to obtain a historical ranking; and displaying the placement ranking according to the preset industry.
Further, obtaining intelligence data according to the classification processing result includes: classifying the intelligence data according to the classification result of the repetition times of the intelligence data; dividing the classification result of the intelligence data according to preset statistical time to obtain the occurrence times of the intelligence data; and displaying the putting frequency according to the preset industry.
In order to achieve the above object, according to another aspect of the present application, there is provided a data processing apparatus for industry intelligence.
The data processing device for industry intelligence according to the application comprises: the first collection module is used for collecting industry information in the network server; the service platform classification module is used for executing preset classification processing according to different issuing service terminals; and the first processing module is used for obtaining the intelligence data according to the classification processing result.
In order to achieve the above object, according to another aspect of the present application, there is provided a data processing apparatus for industry intelligence.
The data processing device for industry intelligence according to the application comprises: the second collection module is used for collecting industry information in the network server; the client classification module is used for executing preset classification processing according to different receiving clients; and the second processing module is used for obtaining the intelligence data according to the classification processing result.
In the embodiment of the application, the industry situation in the network server is collected, and the preset classification processing is executed according to different publishing servers, so that the purpose of obtaining information data according to the classification processing result is achieved, the technical effect of accurately obtaining the industry information updated in real time is achieved, and the technical problem of poor data processing effect on the industry information is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic diagram of a data processing method for business intelligence according to a first embodiment of the present application;
FIG. 2 is a schematic diagram of a data processing method for business intelligence according to a second embodiment of the present application;
FIG. 3 is a schematic diagram of a data processing method for business intelligence according to a third embodiment of the present application;
FIG. 4 is a schematic diagram of a data processing method for business intelligence according to a fourth embodiment of the present application;
FIG. 5 is a schematic diagram of a data processing apparatus for business intelligence according to a first embodiment of the present application;
FIG. 6 is a schematic diagram of a data processing apparatus for business intelligence according to a second embodiment of the present application;
FIG. 7 is a data topology diagram of industry intelligence according to an embodiment of the present application; and
FIG. 8 is a data topology diagram of industry intelligence according to another embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the method includes steps S102 to S106 as follows:
step S102, collecting industry information in a network server;
industry information in the web server can be acquired and collected by means of a web crawler. The promotion information in the industry information mainly comprises advertisement putting information and keyword search information, and by respectively collecting the advertisement putting information and collecting the keyword search information, the industry information in the concerned industry can be accurately obtained, and the related movement of the industry can also be obtained. Therefore, a new industry service growth point and the original service growth amplitude are obtained.
A network server in the present application may run multiple server processes simultaneously on the server, with each server process responding to a particular client request. It should be noted that, the application performs the corresponding operation of collecting the industry intelligence at the server side. Further, industry intelligence can be further pushed through the client small program.
Those skilled in the art will appreciate that the web server may be a file server, a database server, a mail server, a web server, an FTP server, an application server, and the like.
It should be noted that in the present application, industry information in the web server can be obtained through various web crawlers, and corresponding data collection modes can be selected according to different use scenarios.
For example, industry intelligence can be obtained from a specified service platform.
Preferably, the collecting of the industry intelligence in the web server in the above steps at least comprises: the amount of advertisement placement. Ranking data of advertisement putting in the appointed industry can be obtained through the industry keywords, and therefore industry trends in the appointed industry are known.
Preferably, the preset classification process includes: classified by popular industry, by keywords, or by search engine. Specifically, the classification processing may be performed according to keywords divided in advance when classifying according to the popular industry. The classification according to the keywords can be performed according to hot industry keywords published by the service platform. The search engine may be classified according to the classification result of the search engine, such as hundredths, 360-degree search, dog search, and the like. Meanwhile, the preset classification processing is also executed in a targeted manner aiming at the computer end or the mobile end of different search engines. Ranking data is collected by industry keywords.
In addition, intelligence data can also be collected by categorizing information, i.e., by industry column. And further processing the intelligence data to obtain ranking data.
Step S104, executing preset classification processing according to different issuing servers;
different publishing servers mainly refer to platforms for publishing industry intelligence. Often, the platform that publishes industry intelligence refers to a search engine by which ranking data can be collected through industry keywords. Because the preset classification processing can be executed according to different publishing server terminals, the data of a plurality of search engines, namely industry information platforms, can be obtained, and the data can be classified according to the industry.
It should be noted that the classification process may be performed for different publishing servers in the present application. The classification processing is usually performed only for a single platform, but the preset classification processing may be performed according to different publishing servers in this step. In addition, the publishing server can be a hundred degree search engine, a 360 degree search engine, a dog search engine, and the like. The grabbing may be by a local web server or by accessing a foreign web server through an IP address.
And step S106, obtaining intelligence data according to the classification processing result.
The position and the number of times of advertisement putting in industry intelligence can be obtained according to the classification processing result. In particular, a ranked record of historical advertisement placement data prior to the current day may be obtained, and the location of advertisement placements can be updated in real-time. The number of times of advertisement impressions may be obtained by counting the number of times a keyword occurs within a predetermined time period.
The server side collects the business advertisement ranking data in the search engines of the plurality of service platforms, so that accurate internet industry information can be obtained in real time, and popularization information for each industry can be further known. Meanwhile, the industry information can be effectively updated in real time.
It is important to note that the classification results are typically classified according to industry keywords or hotwords, and it is understood that one skilled in the art can also classify in other possible ways.
Preferably, the intelligence data obtained according to the classification processing result can be an industry popularity related data ranking.
Preferably, the intelligence data obtained from the classification process results may be an industry growth related data ranking. .
From the above description, it can be seen that the following technical effects are achieved by the present application:
in the embodiment of the application, the industry situation in the network server is collected, and the preset classification processing is executed according to different publishing servers, so that the purpose of obtaining information data according to the classification processing result is achieved, the technical effect of accurately obtaining the industry information updated in real time is achieved, and the technical problem of poor data processing effect on the industry information is solved.
According to the embodiment of the present application, in another embodiment of the present application, a data processing method for industry intelligence is provided, as shown in fig. 2, the method includes steps S202 to S206 as follows:
step S202, collecting industry information in a network server;
industry information in the web server can be acquired and collected by means of a web crawler. The promotion information in the industry information mainly comprises advertisement putting information and keyword search information, and by respectively collecting the advertisement putting information and collecting the keyword search information, the industry information in the concerned industry can be accurately obtained, and the related movement of the industry can also be obtained. Therefore, a new industry service growth point and the original service growth amplitude are obtained.
A network server in the present application may run multiple server processes simultaneously on the server, with each server process responding to a particular client request. It should be noted that, the application performs the corresponding operation of collecting the industry intelligence at the server side. Further, industry intelligence can be further pushed through the client small program.
Those skilled in the art will appreciate that the web server may be a file server, a database server, a mail server, a web server, an FTP server, an application server, and the like.
It should be noted that in the present application, industry information in the web server can be obtained through various web crawlers, and corresponding data collection modes can be selected according to different use scenarios.
Step S204, executing preset classification processing according to different receiving clients; and
different receiving clients mainly refer to service terminals for receiving and displaying industry intelligence. For example, the service end may be a client of the mobile end, and specifically, the service end receives the industry information through the wireless communication module and displays the industry information on the mobile end to deploy the industry information according to a preset proportion and a typesetting. The client of the mobile terminal mainly refers to accessing the server through the mobile terminal in a wireless communication mode. Of course, the service end may also be a client of the PC end, and specifically, the service end receives the industry information through the network interface and displays the industry information on the PC end to deploy according to the preset proportion and the typesetting.
It is mainly noted that in this step, the classification process is performed according to different receiving service terminals. The classification process is usually performed only for a single service end, but in this step, a preset classification process may be performed according to different receiving service ends. In addition, the receiving service end can be a computer end and a mobile end of a hundred-degree search engine, a computer end and a mobile end of a 360-degree search engine, a computer end and a mobile end of a dog search engine, and the like. The grabbing may be by a local web server or by accessing a foreign web server through an IP address.
In step S206, the intelligence data is obtained according to the classification processing result.
The position and the number of times of advertisement putting in industry intelligence can be obtained according to the classification processing result. In particular, a ranked record of historical advertisement placement data prior to the current day may be obtained, and the location of advertisement placements can be updated in real-time. The number of times of advertisement impressions may be obtained by counting the number of times a keyword occurs within a predetermined time period.
The server side collects the business advertisement ranking data in the search engines of the plurality of service platforms, so that accurate internet industry information can be obtained in real time, and popularization information for each industry can be further known. Meanwhile, the industry information can be effectively updated in real time.
It is important to note that the classification results are typically classified according to industry keywords or hotwords, and it is understood that one skilled in the art can also classify in other possible ways.
Preferably, the intelligence data obtained from the classification processing result may be industry heat related data.
Preferably, the intelligence data obtained from the classification process may be industry growth related data.
From the above description, it can be seen that the following technical effects are achieved by the present application:
in the embodiment of the application, the industry situation in the network server is collected, and the preset classification processing is executed according to different publishing servers, so that the purpose of obtaining information data according to the classification processing result is achieved, the technical effect of accurately obtaining the industry information updated in real time is achieved, and the technical problem of poor data processing effect on the industry information is solved.
According to the embodiment of the present application, preferably, as shown in fig. 3, the obtaining of the intelligence data according to the classification processing result includes:
step S302, classifying the intelligence data according to the ranking classification result of the intelligence data;
and classifying the intelligence data according to the ranking classification result of the intelligence data, such as real estate class, financial service class, housekeeping life class, automobile and transportation class and the like.
Step S304, dividing the information data classification result according to a preset cut-off time to obtain a historical ranking;
the deadline is used for obtaining a historical ranking after dividing the information data classification result, namely, the historical data of the previous day can be obtained on the same day, and so on. Meanwhile, the historical ranking in the target time period can be obtained according to the positioning deadline.
And S306, displaying the releasing ranking according to the preset industry.
The placement ranking is divided according to a preset industry. For example, a historical ranking can be calculated based on the relevant ranking weights.
According to the embodiment of the present application, preferably, as shown in fig. 4, the obtaining of the intelligence data according to the classification processing result includes:
s402, classifying the intelligence data according to the classification result of the intelligence data repetition times;
and classifying the intelligence data according to the result of the repetition times of the intelligence data, wherein the maximum repetition time indicates that the occurrence times of the intelligence data are large.
Step S404, dividing the classification result of the intelligence data according to preset statistical time to obtain the occurrence frequency of the intelligence data;
according to the statistical time, for example, the current day, or the date is set to be before the current day. And obtaining the occurrence frequency of the intelligence data after the statistical time division.
And S406, displaying the releasing frequency according to a preset industry.
The putting frequency is divided according to the preset industry. For example, a historical ranking can be calculated based on the placement frequency ranking weights.
As a preferred embodiment of the present application, a data processing method for industry intelligence includes:
collecting industry information in a network server;
executing preset classification processing according to different receiving clients;
executing preset classification processing according to different publishing servers; and
and obtaining intelligence data according to the classification processing result.
The preset classification processing is executed according to different receiving client sides and the preset classification processing is executed according to different releases, and the internet industry information can be accurately acquired in real time. Furthermore, through collecting the service advertisement ranking data of the mobile phone end and/or the mobile end of a plurality of service platforms at the server end, the change trend of the industry can be obtained through the advertisement ranking data.
The industry intelligence in the network server at least comprises: the amount of advertisement placement.
The preset classification processing includes: classified by popular industry, by keywords, or by search engine.
The obtaining of the intelligence data according to the classification processing result includes:
classifying the intelligence data according to the ranking classification result of the intelligence data;
dividing the information data classification result according to a preset cut-off time to obtain a historical ranking; and
and displaying the placement ranking according to the preset industry.
The obtaining of the intelligence data according to the classification processing result includes:
classifying the intelligence data according to the classification result of the repetition times of the intelligence data;
dividing the classification result of the intelligence data according to preset statistical time to obtain the occurrence times of the intelligence data; and
and displaying the releasing frequency according to the preset industry.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present application, there is also provided an apparatus for implementing the above-described data processing method for industry intelligence, as shown in fig. 5, the apparatus including: the first collection module 10 is used for collecting industry information in the network server; the service platform classification module 20 is used for executing preset classification processing according to different issuing service terminals; and a first processing module 30 for obtaining intelligence data according to the classification processing result.
The industry information in the web server in the first collection module 10 of the embodiment of the present application can be acquired and collected by means of a web crawler. The promotion information in the industry information mainly comprises advertisement putting information and keyword search information, and by respectively collecting the advertisement putting information and collecting the keyword search information, the industry information in the concerned industry can be accurately obtained, and the related movement of the industry can also be obtained. Therefore, a new industry service growth point and the original service growth amplitude are obtained.
A network server in the present application may run multiple server processes simultaneously on the server, with each server process responding to a particular client request. It should be noted that, the application performs the corresponding operation of collecting the industry intelligence at the server side. Further, industry intelligence can be further pushed through the client small program.
Those skilled in the art will appreciate that the web server may be a file server, a database server, a mail server, a web server, an FTP server, an application server, and the like.
It should be noted that in the present application, industry information in the web server can be obtained through various web crawlers, and corresponding data collection modes can be selected according to different use scenarios.
For example, industry intelligence can be obtained from a specified service platform.
Preferably, the collecting of the industry intelligence in the web server in the above steps at least comprises: the amount of advertisement placement. Ranking data of advertisement putting in the appointed industry can be obtained through the industry keywords, and therefore industry trends in the appointed industry are known.
Preferably, the preset classification process includes: classified by popular industry, by keywords, or by search engine. Specifically, the classification processing may be performed according to keywords divided in advance when classifying according to the popular industry. The classification according to the keywords can be performed according to hot industry keywords published by the service platform. The search engine may be classified according to the classification result of the search engine, such as hundredths, 360-degree search, dog search, and the like. Meanwhile, the preset classification processing is also executed in a targeted manner aiming at the computer end or the mobile end of different search engines. Ranking data is collected by industry keywords.
In addition, intelligence data can also be collected by categorizing information, i.e., by industry column. And further processing the intelligence data to obtain ranking data.
Different publishing servers in the service platform classification module 20 in the embodiment of the present application mainly refer to platforms for publishing industry information. Often, the platform that publishes industry intelligence refers to a search engine by which ranking data can be collected through industry keywords. Because the preset classification processing can be executed according to different publishing server terminals, the data of a plurality of search engines, namely industry information platforms, can be obtained, and the data can be classified according to the industry.
It should be noted that the classification process may be performed for different publishing servers in the present application. The classification processing is usually performed only for a single platform, but the preset classification processing may be performed according to different publishing servers in this step. In addition, the publishing server can be a hundred degree search engine, a 360 degree search engine, a dog search engine, and the like. The grabbing may be by a local web server or by accessing a foreign web server through an IP address.
The first processing module 30 of the embodiment of the present application can obtain the positions and times of advertisement placement in industry intelligence according to the classification processing result. In particular, a ranked record of historical advertisement placement data prior to the current day may be obtained, and the location of advertisement placements can be updated in real-time. The number of times of advertisement impressions may be obtained by counting the number of times a keyword occurs within a predetermined time period.
The server side collects the business advertisement ranking data in the search engines of the plurality of service platforms, so that accurate internet industry information can be obtained in real time, and popularization information for each industry can be further known. Meanwhile, the industry information can be effectively updated in real time.
It is important to note that the classification results are typically classified according to industry keywords or hotwords, and it is understood that one skilled in the art can also classify in other possible ways.
Preferably, the intelligence data obtained from the classification processing result may be industry heat related data.
Preferably, the intelligence data obtained from the classification process may be industry growth related data.
According to an embodiment of the present application, there is also provided an apparatus for implementing the above-described data processing method for industry intelligence, as shown in fig. 6, the apparatus including: the second collection module 40 is used for collecting industry information in the network server; a client classification module 50, configured to perform preset classification processing according to different receiving clients; and a second processing module 60 for obtaining intelligence data according to the classification processing result.
The industry information in the web server in the second collection module 40 of the embodiment of the present application can be acquired and collected by means of a web crawler. The promotion information in the industry information mainly comprises advertisement putting information and keyword search information, and by respectively collecting the advertisement putting information and collecting the keyword search information, the industry information in the concerned industry can be accurately obtained, and the related movement of the industry can also be obtained. Therefore, a new industry service growth point and the original service growth amplitude are obtained.
A network server in the present application may run multiple server processes simultaneously on the server, with each server process responding to a particular client request. It should be noted that, the application performs the corresponding operation of collecting the industry intelligence at the server side. Further, industry intelligence can be further pushed through the client small program.
Those skilled in the art will appreciate that the web server may be a file server, a database server, a mail server, a web server, an FTP server, an application server, and the like.
It should be noted that in the present application, industry information in the web server can be obtained through various web crawlers, and corresponding data collection modes can be selected according to different use scenarios.
Different receiving clients in the client classification module 50 of the embodiment of the present application mainly refer to service clients for receiving and displaying industry intelligence. For example, the service end may be a client of the mobile end, and specifically, the service end receives the industry information through the wireless communication module and displays the industry information on the mobile end to deploy the industry information according to a preset proportion and a typesetting. The client of the mobile terminal mainly refers to accessing the server through the mobile terminal in a wireless communication mode. Of course, the service end may also be a client of the PC end, and specifically, the service end receives the industry information through the network interface and displays the industry information on the PC end to deploy according to the preset proportion and the typesetting.
It is mainly noted that in this step, the classification process is performed according to different receiving service terminals. The classification process is usually performed only for a single service end, but in this step, a preset classification process may be performed according to different receiving service ends. In addition, the receiving service end can be a computer end and a mobile end of a hundred-degree search engine, a computer end and a mobile end of a 360-degree search engine, a computer end and a mobile end of a dog search engine, and the like. The grabbing may be by a local web server or by accessing a foreign web server through an IP address.
The second processing module 60 of the embodiment of the present application can obtain the positions and times of advertisement placement in industry intelligence according to the classification processing result. In particular, a ranked record of historical advertisement placement data prior to the current day may be obtained, and the location of advertisement placements can be updated in real-time. The number of times of advertisement impressions may be obtained by counting the number of times a keyword occurs within a predetermined time period.
The server side collects the business advertisement ranking data in the search engines of the plurality of service platforms, so that accurate internet industry information can be obtained in real time, and popularization information for each industry can be further known. Meanwhile, the industry information can be effectively updated in real time.
It is important to note that the classification results are typically classified according to industry keywords or hotwords, and it is understood that one skilled in the art can also classify in other possible ways.
Preferably, the intelligence data obtained from the classification processing result may be industry heat related data.
Preferably, the intelligence data obtained from the classification process may be industry growth related data.
Referring to fig. 7-8, it can be seen that the intelligence server can obtain the intelligence data in the network server, and the industry intelligence with different typesetting formats can be displayed on the client of the PC or the mobile terminal.
The information server side collects industry information in the network server aiming at different platforms and executes preset classification processing according to different releases.
The information server side collects industry information in the network server aiming at different platforms, and executes preset classification processing according to different receiving client sides.
Specifically, the search engine: ranking data is collected by industry keywords.
A computer end and a mobile end of the hundred-degree search engine;
360 a computer end and a mobile end of the search engine;
a mobile terminal of the magic horse search engine;
a computer end and a mobile end of the dog searching engine.
Specifically, the classification information: collecting ranking data through industry columns
For example, 58 is in the same industry column as urban networks.
Specifically, the data acquisition mode of the intelligence server side is that a search engine captures ranking data of a specified industry through an industry keyword, and the function of capturing local data through IP in different places can be achieved. For example, the moving industry needs to search for "moving company" with the IP in shanghai for hundreds of promotion ranking data in shanghai. For another example, after a city site is selected in 58 the same city, data capture is performed on the move column of the local site.
Collecting time: 8: 00-22: 00;
collecting frequency: every 10 minutes, 14 hours by 6/hour and 84 times a day;
data summarization time: automatically summarizing data of the last week for 7 days at 10 pm every six weeks;
a search engine: the method comprises the following steps that industrial keywords are preset, and the information server can realize remote IP to pick up remote data by automatically operating the information server;
particularly, for the same 58 city, industry column addresses are preset, and the system automatically operates to realize data acquisition of different industries of different city sites;
preferably, excel report export can be realized.
Preferably, the system automatically imports data to a related official website background every week to realize that the official website front end updates the intelligence data.
When the information server side obtains the information data according to the classification processing result, the data result can be flexibly obtained according to the following industry keywords which are added by the most popular industry. Moving to home; a home care caregiver; cleaning; recovering; maintaining the household appliance; wedding; decoration; home decoration; assembling; building materials; registering the industry and the commerce; a financial agent; logistics; printing; carrying out advertisement spray painting; network wiring; leasing; a travel agency; the recruitment joining; learning to go to a vehicle; renting a car; family education and tutoring; artistic training; vocational training; training a learning calendar; law.
It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A data processing method for industry intelligence, comprising:
collecting industry information in a network server;
the industry intelligence includes at least: the amount of advertisement placement;
respectively executing preset classification processing according to different publishing servers; and
the different publishing service terminals refer to platforms used for publishing industry information;
obtaining intelligence data according to the classification processing result;
the obtaining of intelligence data according to the classification processing result comprises:
the positions and times of advertisement putting in industry information can be obtained according to the classification processing result;
and acquiring business advertisement ranking data in a plurality of service platform search engines through a server end so as to acquire intelligence data in real time.
2. A data processing method for industry intelligence, comprising:
collecting industry information in a network server;
collecting industry intelligence in a network server at least comprises: the amount of advertisement placement;
respectively executing preset classification processing according to different receiving clients; and
the different receiving clients are service terminals for receiving and displaying industry information;
obtaining intelligence data according to the classification processing result;
the obtaining of intelligence data according to the classification processing result comprises:
the positions and times of advertisement putting in industry information can be obtained according to the classification processing result;
and acquiring business advertisement ranking data in a plurality of service platform search engines through a server end so as to acquire intelligence data in real time.
3. The data processing method according to claim 1 or 2, wherein the preset classification process includes: classified by popular industry, by keywords, or by search engine.
4. The data processing method according to claim 1 or 2, wherein obtaining informative data based on the classification processing result comprises:
classifying the intelligence data according to the ranking classification result of the intelligence data;
dividing the information data classification result according to a preset cut-off time to obtain a historical ranking; and
and displaying the placement ranking according to the preset industry.
5. The data processing method according to claim 1 or 2, wherein obtaining informative data based on the classification processing result comprises:
classifying the intelligence data according to the classification result of the repetition times of the intelligence data;
dividing the classification result of the intelligence data according to preset statistical time to obtain the occurrence times of the intelligence data; and
and displaying the releasing frequency according to the preset industry.
6. A data processing apparatus for industry intelligence, comprising:
the first collection module is used for collecting industry information in the network server;
the industry intelligence includes at least: the amount of advertisement placement;
the service platform classification module is used for respectively executing preset classification processing according to different issuing service terminals; the different publishing service terminals are platforms for publishing industry information;
the first processing module is used for obtaining information data according to the classification processing result;
the obtaining of intelligence data according to the classification processing result comprises:
the positions and times of advertisement putting in industry information can be obtained according to the classification processing result;
and acquiring business advertisement ranking data in a plurality of service platform search engines through a server end so as to acquire intelligence data in real time.
7. A server, comprising: a data processing apparatus as claimed in claim 6.
8. A data processing apparatus for industry intelligence, comprising:
the second collection module is used for collecting industry information in the network server;
collecting industry intelligence in a network server at least comprises: the amount of advertisement placement;
the client classification module is used for executing preset classification processing according to different receiving clients; and
the second processing module is used for obtaining information data according to the classification processing result;
the obtaining of intelligence data according to the classification processing result comprises:
the positions and times of advertisement putting in industry information can be obtained according to the classification processing result;
and acquiring business advertisement ranking data in a plurality of service platform search engines through a server end so as to acquire intelligence data in real time.
9. A server, comprising: a data processing apparatus as claimed in claim 8.
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