CN110634015A - Consumption habit analysis system based on computer software - Google Patents
Consumption habit analysis system based on computer software Download PDFInfo
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- CN110634015A CN110634015A CN201910674620.6A CN201910674620A CN110634015A CN 110634015 A CN110634015 A CN 110634015A CN 201910674620 A CN201910674620 A CN 201910674620A CN 110634015 A CN110634015 A CN 110634015A
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Abstract
The invention discloses a consumption habit analysis system based on computer software, which comprises a client, a server and a mobile terminal, wherein the client is connected with the mobile terminal through the server; on one hand, the client sends commodity information to the mobile terminal through the server; on the other hand, the method is used for inquiring the network consumption data access record information of the mobile terminal from the server; it includes: the system comprises an acquisition module, an analysis module, a judgment module, a comparison module, a pushing module, an extraction module, a database, a pre-storage module, a timing module, a report generation module and a recommendation purchasing module; the server is used for recording network consumption data record information accessed by the mobile terminal through the server and network consumption data record information accessed by the client to the server, and forming data record information; and the mobile terminal is used for the consumer to access the network commodity information to the server.
Description
Technical Field
The invention relates to the technical field of information data management, in particular to a consumption habit analysis system based on computer software.
Background
With the continuous development of scientific technology and the continuous improvement of the living standard of people, the online shopping technology is developed rapidly, the daily consumption mode of people is gradually changed from off-line consumption to on-line consumption, and therefore, more and more network merchants exist and the competition is more and more intense. When a consumer purchases commodities on the internet, due to the fact that a plurality of merchants on the internet, a plurality of brands, a large purchasing range and a plurality of types of selectable commodities exist, a plurality of merchants of the same type arranged below a webpage are often ignored, and the phenomenon that many merchants find products good but do not have good business results is caused.
Therefore, the invention provides a consumption habit analysis system based on computer software, which collects the commodities interested by the consumer, analyzes and processes the commodities to obtain the commodity information similar to the commodity information, and pushes the commodity information to the consumer, so that the consumer can know the interested commodity information without browsing a large amount of webpage information, and meanwhile, the phenomenon that the merchant is not in good sight because the consumer neglects to check is solved.
Disclosure of Invention
The present invention is directed to a consumption habit analyzing system based on computer software, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a consumption habit analysis system based on computer software comprises a client, a server and a mobile terminal, wherein the client is connected with the mobile terminal through the server;
on one hand, the client sends commodity information to the mobile terminal through the server; on the other hand, the method is used for inquiring the network consumption data access record information of the mobile terminal from the server;
it includes: the system comprises an acquisition module, an analysis module, a judgment module, a comparison module, a pushing module, an extraction module, a database, a pre-storage module, a timing module, a report generation module and a recommendation purchasing module;
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring network commodity consumption data information accessed by a mobile terminal through a server, and the network commodity consumption data information comprises a time period of a network commodity, a category of the network commodity, a price of the network commodity, an access address of the network commodity and order information of the network commodity;
the analysis module is connected with the acquisition module and used for analyzing the mobile terminal network consumption data access record information acquired by the acquisition module, acquiring user consumption habit data corresponding to the mobile terminal and screening out related network commodity data information corresponding to the client network commodity in the user consumption habit data;
the judging module is connected with the analyzing module and used for judging the commodity information with the highest similarity to the client network commodity data information in the user consumption habit commodity data screened out by the analyzing module;
the comparison module is connected with the judgment module and compares and analyzes the commodity data information which is closest to the user consumption habits in the client database with the commodity data information of the user consumption habits to obtain a similarity value and a difference value;
the pushing module is connected with the comparison module, each pushing condition in the pushing module corresponds to one type of product information, and when the comparison result of the comparison module meets the pushing condition, the pushing module is pushed to the mobile terminal in a short message pushing or mail pushing mode for a consumer to check;
the extraction module is used for recording information data of the commodity information pushed by the mobile terminal browsing, viewing and pushing module;
the database is used for storing commodity information of commodities published on the Internet by the client;
the pre-storage module is used for storing a mobile terminal for publishing commodity information on a network by a client to be sent, such as a mobile terminal needing to send mid-autumn gift information in mid-autumn seasons, a mobile terminal needing to send spring clothing information in spring, and the like;
the timing module is used for reserving commodity sending time of a mobile terminal which issues commodity information on a client side to be sent on the internet, so that the purpose of sending the commodity at regular time is achieved, for example, the commodity at the end of the month is pushed one month or half month before the end of the month, and the best selling time is prevented from being missed;
the report generation module is connected with the acquisition module, the analysis module, the judgment module, the comparison module, the pushing module, the extraction module, the database, the pre-storage module and the timing module and is used for recording the information data of each module and analyzing and processing the information data of each module according to a preset mode to form an analysis report;
the recommendation purchasing module is connected with the report generating module and analyzes and compares the commodity information of the client database and the consumption habit information of the consumer to obtain a conclusion that the commodity information is purchased by the client;
the server is used for recording network consumption data record information accessed by the mobile terminal through the server and network consumption data record information accessed by the client to the server, and forming data record information;
the mobile terminal is used for the consumer to access the network commodity information to the server;
an operation method of a consumption habit analyzing system based on computer software comprises the following steps:
s1, the acquisition module acquires the network commodity consumption data information accessed by the mobile terminal through the server side and transmits the network commodity consumption data information to the analysis module;
s2, the analysis module analyzes the access record information of the network consumption data of the mobile terminal acquired by the acquisition module to obtain the user consumption habit data corresponding to the mobile terminal, and simultaneously screens out the relevant network commodity data information corresponding to the client network commodity in the user consumption habit data;
s3, the judging module judges the commodity information with the highest similarity in the user consumption habit commodity data screened by the analyzing module and the client network commodity data information, and then transmits the commodity information to the comparing module for comparison;
s4, the comparison module compares and analyzes the data information of the commodity closest to the user consumption habit in the client database with the data information of the commodity closest to the user consumption habit to obtain a similarity value and a difference value, so as to judge whether the commodity information is pushed to the pushing condition in the module;
s5, if the pushing condition in the pushing module is met, the pushing module pushes commodity data information which is closest to the consumption habit of the user in the client database to the mobile terminal in a short message pushing or mail pushing mode for the consumer to check; if the pushing conditions are not met, analyzing the reasons of non-conformity, and if the pushing time is not met, transmitting the pushed commodity information and the mobile terminal user information to a pre-storage module; if the commodity information does not conform to the commodity information, the pushing is forbidden;
s6, pre-storing the commodity information and the mobile terminal user information which are not matched with each other due to the time in the step S5 by a pre-storing module, and performing timing pushing operation on the commodity information and the mobile terminal user information by a timing module so as to realize the purpose of timing pushing;
s7, the extraction module tracks whether the commodity information data pushed by the push module is checked and purchased by the mobile terminal user in real time;
and S8, generating an analysis report by the report generation module according to the commodity information of the client database and the consumption habit information of the consumer, and obtaining a conclusion of the commodity information purchased by the client.
Compared with the prior art, the invention has the beneficial effects that: according to the consumption habit analysis system based on computer software, provided by the acquisition module, the analysis module, the judgment module, the comparison module, the pushing module, the extraction module, the database, the pre-storage module, the timing module, the report generation module and the recommendation purchasing module, commodities which are interested by a consumer can be collected and analyzed, commodity information which is close to the commodities is obtained and pushed to the consumer, so that the consumer can know the commodity information which is interested by the consumer without browsing a large amount of webpage information, and meanwhile, the phenomenon that a merchant is not happy due to neglect of viewing by the consumer is solved.
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FIG. 1 is a flow chart of the overall structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, the present invention provides a technical solution: a consumption habit analysis system based on computer software comprises a client, a server and a mobile terminal, wherein the client is connected with the mobile terminal through the server;
on one hand, the client sends commodity information to the mobile terminal through the server; on the other hand, the method is used for inquiring the network consumption data access record information of the mobile terminal from the server;
it includes: the system comprises an acquisition module, an analysis module, a judgment module, a comparison module, a pushing module, an extraction module, a database, a pre-storage module, a timing module, a report generation module and a recommendation purchasing module;
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring network commodity consumption data information accessed by a mobile terminal through a server, and the network commodity consumption data information comprises a time period of a network commodity, a category of the network commodity, a price of the network commodity, an access address of the network commodity and order information of the network commodity;
the analysis module is connected with the acquisition module and used for analyzing the mobile terminal network consumption data access record information acquired by the acquisition module, acquiring user consumption habit data corresponding to the mobile terminal and screening out related network commodity data information corresponding to the client network commodity in the user consumption habit data;
the judging module is connected with the analyzing module and used for judging the commodity information with the highest similarity to the client network commodity data information in the user consumption habit commodity data screened out by the analyzing module;
the comparison module is connected with the judgment module and compares and analyzes the commodity data information which is closest to the user consumption habits in the client database with the commodity data information of the user consumption habits to obtain a similarity value and a difference value;
the pushing module is connected with the comparison module, each pushing condition in the pushing module corresponds to one type of product information, and when the comparison result of the comparison module meets the pushing condition, the pushing module is pushed to the mobile terminal in a short message pushing or mail pushing mode for a consumer to check;
the extraction module is used for recording information data of the commodity information pushed by the mobile terminal browsing, viewing and pushing module;
the database is used for storing commodity information of commodities published on the Internet by the client;
the pre-storage module is used for storing a mobile terminal for publishing commodity information on a network by a client to be sent, such as a mobile terminal needing to send mid-autumn gift information in mid-autumn seasons, a mobile terminal needing to send spring clothing information in spring, and the like;
the timing module is used for reserving commodity sending time of a mobile terminal which issues commodity information on a client side to be sent on the internet, so that the purpose of sending the commodity at regular time is achieved, for example, the commodity at the end of the month is pushed one month or half month before the end of the month, and the best selling time is prevented from being missed;
the report generation module is connected with the acquisition module, the analysis module, the judgment module, the comparison module, the pushing module, the extraction module, the database, the pre-storage module and the timing module and is used for recording the information data of each module and analyzing and processing the information data of each module according to a preset mode to form an analysis report;
the recommendation purchasing module is connected with the report generating module and analyzes and compares the commodity information of the client database and the consumption habit information of the consumer to obtain a conclusion that the commodity information is purchased by the client;
the server is used for recording network consumption data record information accessed by the mobile terminal through the server and network consumption data record information accessed by the client to the server, and forming data record information;
the mobile terminal is used for the consumer to access the network commodity information to the server;
an operation method of a consumption habit analyzing system based on computer software comprises the following steps:
s1, the acquisition module acquires the network commodity consumption data information accessed by the mobile terminal through the server side and transmits the network commodity consumption data information to the analysis module;
s2, the analysis module analyzes the access record information of the network consumption data of the mobile terminal acquired by the acquisition module to obtain the user consumption habit data corresponding to the mobile terminal, and simultaneously screens out the relevant network commodity data information corresponding to the client network commodity in the user consumption habit data;
s3, the judging module judges the commodity information with the highest similarity in the user consumption habit commodity data screened by the analyzing module and the client network commodity data information, and then transmits the commodity information to the comparing module for comparison;
s4, the comparison module compares and analyzes the data information of the commodity closest to the user consumption habit in the client database with the data information of the commodity closest to the user consumption habit to obtain a similarity value and a difference value, so as to judge whether the commodity information is pushed to the pushing condition in the module;
s5, if the pushing condition in the pushing module is met, the pushing module pushes commodity data information which is closest to the consumption habit of the user in the client database to the mobile terminal in a short message pushing or mail pushing mode for the consumer to check; if the pushing conditions are not met, analyzing the reasons of non-conformity, and if the pushing time is not met, transmitting the pushed commodity information and the mobile terminal user information to a pre-storage module; if the commodity information does not conform to the commodity information, the pushing is forbidden;
s6, pre-storing the commodity information and the mobile terminal user information which are not matched with each other due to the time in the step S5 by a pre-storing module, and performing timing pushing operation on the commodity information and the mobile terminal user information by a timing module so as to realize the purpose of timing pushing;
s7, the extraction module tracks whether the commodity information data pushed by the push module is checked and purchased by the mobile terminal user in real time;
and S8, generating an analysis report by the report generation module according to the commodity information of the client database and the consumption habit information of the consumer, and obtaining a conclusion of the commodity information purchased by the client.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A consumption habit analysis system based on computer software is characterized by comprising a client, a server and a mobile terminal, wherein the client is connected with the mobile terminal through the server;
on one hand, the client sends commodity information to the mobile terminal through the server; on the other hand, the method is used for inquiring the network consumption data access record information of the mobile terminal from the server;
it includes: the system comprises an acquisition module, an analysis module, a judgment module, a comparison module, a pushing module, an extraction module, a database, a pre-storage module, a timing module, a report generation module and a recommendation purchasing module;
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring network commodity consumption data information accessed by a mobile terminal through a server, and the network commodity consumption data information comprises a time period of a network commodity, a category of the network commodity, a price of the network commodity, an access address of the network commodity and order information of the network commodity;
the analysis module is connected with the acquisition module and used for analyzing the mobile terminal network consumption data access record information acquired by the acquisition module, acquiring user consumption habit data corresponding to the mobile terminal and screening out related network commodity data information corresponding to the client network commodity in the user consumption habit data;
the judging module is connected with the analyzing module and used for judging the commodity information with the highest similarity to the client network commodity data information in the user consumption habit commodity data screened out by the analyzing module;
the comparison module is connected with the judgment module and compares and analyzes the commodity data information which is closest to the user consumption habits in the client database with the commodity data information of the user consumption habits to obtain a similarity value and a difference value;
the pushing module is connected with the comparison module, each pushing condition in the pushing module corresponds to one type of product information, and when the comparison result of the comparison module meets the pushing condition, the pushing module is pushed to the mobile terminal in a short message pushing or mail pushing mode for a consumer to check;
the extraction module is used for recording information data of the commodity information pushed by the mobile terminal browsing, viewing and pushing module;
the database is used for storing commodity information of commodities published on the Internet by the client;
the pre-storage module is used for storing a mobile terminal for publishing commodity information on a network by a client to be sent, such as a mobile terminal needing to send mid-autumn gift information in mid-autumn seasons, a mobile terminal needing to send spring clothing information in spring, and the like;
the timing module is used for reserving commodity sending time of a mobile terminal which issues commodity information on a client side to be sent on the internet, so that the purpose of sending the commodity at regular time is achieved, for example, the commodity at the end of the month is pushed one month or half month before the end of the month, and the best selling time is prevented from being missed;
the report generation module is connected with the acquisition module, the analysis module, the judgment module, the comparison module, the pushing module, the extraction module, the database, the pre-storage module and the timing module and is used for recording the information data of each module and analyzing and processing the information data of each module according to a preset mode to form an analysis report;
the recommendation purchasing module is connected with the report generating module and analyzes and compares the commodity information of the client database and the consumption habit information of the consumer to obtain a conclusion that the commodity information is purchased by the client;
the server is used for recording network consumption data record information accessed by the mobile terminal through the server and network consumption data record information accessed by the client to the server, and forming data record information;
and the mobile terminal is used for the consumer to access the network commodity information to the server.
2. The method of claim 1, comprising the steps of:
s1, the acquisition module acquires the network commodity consumption data information accessed by the mobile terminal through the server side and transmits the network commodity consumption data information to the analysis module;
s2, the analysis module analyzes the access record information of the network consumption data of the mobile terminal acquired by the acquisition module to obtain the user consumption habit data corresponding to the mobile terminal, and simultaneously screens out the relevant network commodity data information corresponding to the client network commodity in the user consumption habit data;
s3, the judging module judges the commodity information with the highest similarity in the user consumption habit commodity data screened by the analyzing module and the client network commodity data information, and then transmits the commodity information to the comparing module for comparison;
s4, the comparison module compares and analyzes the data information of the commodity closest to the user consumption habit in the client database with the data information of the commodity closest to the user consumption habit to obtain a similarity value and a difference value, so as to judge whether the commodity information is pushed to the pushing condition in the module;
s5, if the pushing condition in the pushing module is met, the pushing module pushes commodity data information which is closest to the consumption habit of the user in the client database to the mobile terminal in a short message pushing or mail pushing mode for the consumer to check; if the pushing conditions are not met, analyzing the reasons of non-conformity, and if the pushing time is not met, transmitting the pushed commodity information and the mobile terminal user information to a pre-storage module; if the commodity information does not conform to the commodity information, the pushing is forbidden;
s6, pre-storing the commodity information and the mobile terminal user information which are not matched with each other due to the time in the step S5 by a pre-storing module, and performing timing pushing operation on the commodity information and the mobile terminal user information by a timing module so as to realize the purpose of timing pushing;
s7, the extraction module tracks whether the commodity information data pushed by the push module is checked and purchased by the mobile terminal user in real time;
and S8, generating an analysis report by the report generation module according to the commodity information of the client database and the consumption habit information of the consumer, and obtaining a conclusion of the commodity information purchased by the client.
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| CN201910674620.6A CN110634015A (en) | 2019-07-25 | 2019-07-25 | Consumption habit analysis system based on computer software |
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| CN201910674620.6A CN110634015A (en) | 2019-07-25 | 2019-07-25 | Consumption habit analysis system based on computer software |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489244A (en) * | 2020-04-20 | 2020-08-04 | 杭州在简文化艺术策划有限公司 | Off-line merchant targeted promotion system |
| CN111768274A (en) * | 2020-06-24 | 2020-10-13 | 中国地质大学（武汉） | Data classification storage system based on artificial intelligence |
| CN111815362A (en) * | 2020-07-13 | 2020-10-23 | 黑龙江东方学院 | University student internet consumption data acquisition system based on big data |
| CN114065888A (en) * | 2021-11-26 | 2022-02-18 | 湖北中烟工业有限责任公司 | Cigarette consumer smoking behavior habit recording method and device and electronic equipment |
-
2019
- 2019-07-25 CN CN201910674620.6A patent/CN110634015A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489244A (en) * | 2020-04-20 | 2020-08-04 | 杭州在简文化艺术策划有限公司 | Off-line merchant targeted promotion system |
| CN111768274A (en) * | 2020-06-24 | 2020-10-13 | 中国地质大学（武汉） | Data classification storage system based on artificial intelligence |
| CN111815362A (en) * | 2020-07-13 | 2020-10-23 | 黑龙江东方学院 | University student internet consumption data acquisition system based on big data |
| CN114065888A (en) * | 2021-11-26 | 2022-02-18 | 湖北中烟工业有限责任公司 | Cigarette consumer smoking behavior habit recording method and device and electronic equipment |
| CN114065888B (en) * | 2021-11-26 | 2024-05-03 | 湖北中烟工业有限责任公司 | Cigarette consumer smoking behavior habit recording method and device and electronic equipment |
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Application publication date: 20191231 |