CN112465572B - Advertisement push monitoring system based on big data - Google Patents
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Abstract
The invention discloses an advertisement pushing monitoring system based on big data, which comprises a commodity data storage module, an information data collection module, a consumption record calling module, a shopping habit analysis module, a geographic position acquisition module, a user step number acquisition module, a user consumption circle generation module, a user trip mode acquisition module, an advertisement characteristic information generation module, an advertisement content screening module and an advertisement pushing matching module, and has the beneficial effects that: the method comprises the steps of obtaining consumption records of a user through a mobile terminal, further analyzing shopping habits of the user according to the consumption records, dividing the user into a plurality of corresponding consumption groups according to the shopping habits, classifying the mobile terminal of the user according to the consumption group classification, analyzing search keywords input by the user within a certain time period, and pushing advertisement information to the corresponding user according to the mobile terminal classification, the search time and consumption record selectivity after the time, so that invalid pushing is avoided, and pushing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an advertisement pushing monitoring system based on big data.
Background
Advertisement, as the name suggests, it is advertising, inform some things to the general public of society, have entered the flow era nowadays, the role of advertisement is also more and more obvious, with the promotion of the renewal speed of trade company's product, trade company's product propaganda is continuously strengthened to the dependence of advertisement, at present, our country's advertisement is mainly divided into several advertisement platforms such as TV advertisement, radio station advertisement, magazine advertisement, internet advertisement according to the platform type, and in recent years, with the continuous development of internet economy and big data technology, the internet platform has gradually replaced several traditional platforms, the advantage of internet advertisement compared with traditional advertisement platform lies in that internet advertisement does not have many enforcements and time intervals of traditional advertisement, so internet has become important advertising channel now.
Whether the advertisement pushing is accurate or not depends on the user portrait and the analysis of the user behavior under the large data processing, so that the correct content is provided for the correct people at the correct time, the best marketing effect is achieved, real-time dynamic label management is established by dynamically recording and counting the interests, hobbies and behavior habits of customers in real time, and the marketing of thousands of people is realized based on the user portrait and the analysis of the user behavior, but the existing advertisement pushing monitoring system still has a plurality of problems, such as that a user searches for a desk lamp on a certain platform and purchases a single desk lamp under the platform, but the problem comes with the same, in the next period of time, a computer popup window is an advertisement related to the desk lamp, the advertisement can be classified into daily electric appliances, the desk lamp is not a consumable, and a plurality of desk lamps do not need to be purchased repeatedly, the prior art can detect that the user searches for a keyword of the desk lamp, also give this user with accurate the input of advertisement, but the problem lies in that the advertisement content is not screened when the advertisement is put, leads to this kind of secondary meaningless advertisement input, and this does not promote marketing in essence, can bring not good experience for the user on the contrary, further lets the user to certain brand dislike, reduces the good sensitivity of brand.
Based on the above problems, it is urgently needed to provide an advertisement push monitoring system based on big data, a consumption record of a user is obtained through a mobile terminal, the shopping habit of the user is further analyzed according to the consumption record, the user is divided into a plurality of corresponding consumer groups according to the shopping habit, the mobile terminal of the user is classified according to consumer group classification, search keywords input by the user within a certain time period are analyzed, advertisement information is pushed to the corresponding user according to the mobile terminal classification, the search time and the consumption record selectivity after the time, invalid push is avoided, and push efficiency is improved.
Disclosure of Invention
The invention aims to provide an advertisement pushing monitoring system based on big data to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
an advertisement pushing monitoring system based on big data comprises a commodity data storage module, an information data collection module, a consumption record calling module, a shopping habit analysis module, a geographic position acquisition module, a user step number acquisition module, a user consumption circle generation module, a user travel mode acquisition module, an advertisement characteristic information generation module, an advertisement content screening module and an advertisement pushing matching module, wherein the commodity data storage module is used for pre-storing commodity names and commodity belonged types, the commodity belonged types comprise consumables and non-consumables, the information data collection module acquires user information data through a mobile terminal, the user information data comprises mobile terminal information corresponding to a user, the consumption record calling module acquires consumption records of the user in a certain time period through the mobile terminal, and the consumption records correspond to consumed commodity bodies, the shopping habit analyzing module is used for analyzing the shopping habits of users according to consumption records of the users in a certain time period, dividing consumption crowds to which the users belong according to the shopping habits, classifying mobile terminals corresponding to the users according to the consumption crowds to which the users belong, the geographic position acquiring module is used for acquiring the common positions of the users and the consumption places of the users, the user step number acquiring module is used for acquiring the daily steps of the users, the user consumption circle generating module establishes a first user consumption circle and a second user consumption circle according to the common positions and the consumption places of the users, the user travel mode acquiring module is used for acquiring travel modes of the users reciprocating between the common positions and the consumption places, the advertisement characteristic information generating module is used for generating advertisement characteristic information to be pushed to a specified mobile terminal, and the advertisement content screening module is used for screening advertisement contents according to-be pushed advertisement characteristic information, the advertisement pushing and matching module is used for pushing the screened advertisement content to the appointed mobile terminal.
Further, the consumption record retrieving module acquires consumption records of the corresponding user within a certain time period through the mobile terminal, the consumption records comprise online shopping consumption records and entity store consumption records, the shopping habit analyzing module is used for analyzing the shopping habits of the user according to the consumption records of the user, respectively calculating the proportion of the online shopping consumption record times of the user and the consumption record times of the entity store to the total consumption record times, and further analyzing the consumption groups to which the user belongs according to the respective occupation ratios of online shopping consumption and entity store consumption, wherein the consumption groups comprise online shopping consumption groups, entity store consumption groups and online shopping and entity store consumption groups, and an online shopping consumption group label, an entity store consumption group label and an online shopping and entity store consumption group label are attached to the mobile terminal information of the corresponding user, and in real life, partial online shopping is often liked by people, some people like shopping physical stores, and some people shop both on-line and on-line, so that different advertisement contents need to be recommended to different people to push correct contents to correct people, and the advertisement has significance.
Further, the shopping habit analysis module is connected with the consumption record calling module, the shopping habit analysis module obtains the total consumption record times N, the online shopping consumption record times W and the entity store consumption record times S of the user in a certain time period, and the online shopping consumption proportion of the online shopping consumption record times to the total consumption record times is
The ratio of the consumption records of the physical stores to the total consumption records is
The consumption crowd of the user is further divided according to the online shopping consumption proportion and the entity store consumption proportion, the classification of the mobile terminal corresponding to the current user is firstly confirmed, the shopping habits of each person can be obtained according to the consumption proportions of the people in the entity store and the online store, the people are divided into different consumption crowds according to the different shopping habits, thereby the advertisement content is pertinently pushed,
consumption ratio of online shopping
Equal to the consumption proportion of the brick and mortar store
When the online shopping and entity shop advertisement is sent to the current user, the current user is a first-class mobile terminal, wherein the first-class mobile terminal is a mobile terminal of an online shopping and entity shop consumer group, some people like online shopping and shopping for an entity shop, and the current user is divided into the online shopping and entity shop consumer group aiming at the part of the crowd, so that the online shop advertisement can be sent to the consumer group, and the entity shop advertisement can also be sent to the consumer group, so that the significance of the advertisement can be embodied, the conversion of the advertisement and consumption is realized, and the pertinence of advertisement pushing is improved;
consumption ratio of online shopping
Not equal to the consumption proportion of the brick and mortar store
Calculating the proportion difference between the online shopping consumption proportion and the physical store consumption proportion
Wherein, in the step (A),
is a proportional difference threshold value when the proportional difference is
When the ratio difference is less than 1, the difference between the online shopping consumption ratio and the entity shop consumption ratio is not large, namely the online shopping consumption ratio and the entity shop consumption ratio are very close to each other, so that the terminals held by people can be classified as the first type of mobile terminals, namely the people are classified as online shopping and entity shop consumption crowd；
When the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
Or ratio of consumption of brick and mortar stores
When the number of the mobile terminals is 0, namely the mobile terminal of the current user is a second type mobile terminal or a third type mobile terminal, wherein the second type mobile terminal is a mobile terminal of a consumer group of a physical store, and the third type mobile terminal is a mobile terminal of an online shopping consumer group;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of people is not 0, if the consumption proportion of the physical store is
Greater than the consumption proportion of online shopping
If the current user mobile terminal is the second type mobile terminal;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of the products is not 0, the consumption ratio of the products is on-line
Greater than the consumption proportion of the brick and mortar store
Then the mobile terminal of the current user is a third type mobile terminal,
when the proportion difference is larger than or equal to 1, the difference between the online shopping consumption proportion and the entity shop consumption proportion is larger, at this time, the sizes of the online shopping consumption proportion and the entity shop consumption proportion need to be further judged, when the online shopping consumption proportion is larger than the entity shop consumption proportion, on the premise that the proportion difference is larger than or equal to 1, the online shopping consumption proportion is far larger than the entity shop consumption proportion, therefore, the terminal devices held by people are classified as third-class mobile terminals, namely, the groups are classified as online shopping consumption groups, when the entity shop consumption proportion is larger than the online shopping consumption proportion, on the premise that the proportion difference is larger than or equal to 1, the entity shop consumption proportion is far larger than the online shopping consumption proportion, therefore, the terminal devices held by people are classified as second-class mobile terminals, namely, the groups are classified as entity shop consumption groups, the division of consumer groups can make the advertisement push more targeted so as to improve the conversion rate between the advertisement and the consumption.
Further, the geographic position acquisition module is connected with the consumption record retrieval module, the geographic position acquisition module acquires a common position of a user through the mobile terminal, and further acquires a consumption position of the user consumed in a physical store each time according to consumption record information and the mobile terminal, the user consumption circle generation module establishes a first user consumption circle and a second user consumption circle by taking the common position and the consumption position of the user as a circle center, the user step acquisition module further acquires a maximum daily step number within a certain time period through the mobile terminal, the user trip mode acquisition module further acquires a user daily trip mode within the certain time period through the mobile terminal, the user consumption circle generation module is connected with the user step number acquisition module and the user trip mode acquisition module, and the user consumption circle generation module further determines a first user consumption circle radius and a second user consumption circle radius according to the maximum daily step number and the user daily trip mode The circle radius is taken, a usual consumption circle of a user can be established according to a consumption place of the user, when off-line solid store advertisements are pushed to online shopping and solid store consumption crowds or solid store consumption crowds, the consumption circle of the corresponding user is referred to, which off-line solid stores exist in the consumption circle is obtained, relevant advertisement contents are pushed, conversion of advertisements and consumption can be facilitated, if the user just wants to buy the same object, the off-line solid stores selling the object just happen to the usual consumption circle of the user, therefore, the advertisement contents of the solid stores are pushed, the user demand is solved, the pushing efficiency of the advertisements is improved, and the pushed advertisements are meaningful.
Further, the user consumption circle generation module further obtains the maximum daily step number of the user within a certain time period
Calculating the maximum daily travel distance of the user according to the maximum daily steps of the user
Wherein, in the step (A),
the first user consumes the circle radius for the average distance from the toe of the heel to the heel of the forefoot of a normal step of the user
Wherein, in the step (A),
as a function of the number of the coefficients,
the user can walk by referring to the maximum daily steps of the user for establishing the consumption circleThe step number is converted into the walking distance, and the consumption circle size is determined according to the walking distance, so that the method is more reasonable and better accords with the usual travel habit of the user.
Further, the user circle generation module further obtains a travel mode from the user to the consumption position within a certain time period, and if the user travels by using a vehicle, the radius of the second user circle is the radius of the second user circle
Wherein, in the step (A),
as a function of the number of the coefficients,
；
if the user is walking, further acquiring the distance from the travel starting position to the consumption position of the user
The second user circle radius of consumption
Wherein, in the step (A),
as a function of the number of the coefficients,
when the user walks to the consumption circle, the corresponding consumption circle is reduced in size, because people walk a section of way, people are likely not to continue to walk any more when shopping, and people are likely to continue to walk back, the range of the consumption circle is reduced, and therefore the consumption circle is widened, and the consumption circle is convenient to use and convenient to use
。
Further, the information data collection module obtains search keyword information of a user in a network within a certain period of time through the mobile terminal, the information data collection module comprises a commodity keyword detection unit and a time information collection unit, the commodity keyword detection unit is connected with the commodity data storage module, the commodity keyword detection unit detects whether a commodity name is included in the search keywords according to the commodity name and the search keyword information input by the user, if the commodity name is included, the search commodity corresponding to the commodity name is further determined, the time information collection unit obtains the search time t when the commodity keyword detection unit detects that the search keywords include the commodity name, and further determines the category of the search commodity according to the detected commodity name.
Further, the information data collecting module is connected with an advertisement characteristic information generating module, the advertisement characteristic information generating module acquires search commodities, the types of commodities, mobile terminal classifications, user consumption circles, consumption records and search time t to generate advertisement characteristic information to be pushed, the advertisement content screening module screens advertisement contents to be pushed according to the advertisement characteristic information to be pushed, advertisement characteristic information is generated according to commodity contents, the types of commodities, consumer group classifications, consumption records and search time which are searched by people, the consumer group classifications are used for pertinently pushing online shop advertisements or offline entity shop advertisements, the commodity contents are used for confirming the types of commodities, namely consumables and non-consumables, and people need to continuously purchase the commodities after the commodities are consumed when the purchase of the commodities is possible, but for the non-consumables, people may not need to continuously purchase for a long time after purchasing once until the goods are damaged, so that the types of the goods are firstly confirmed, and then the consumption records of the people after the searching time are obtained, namely whether the people purchase the goods or not is confirmed, thereby avoiding that the people continuously push advertisements related to the non-consumables after purchasing the non-consumables, influencing the experience of the people and reducing the good feeling of the people to the brand.
Further, the advertisement content screening module firstly classifies the advertisement content to be pushed, the advertisement content classification comprises online shopping platform advertisements and offline entity store advertisements, the advertisement content screening module determines a commodity main body of the advertisement to be pushed according to the searched commodity, further selects and pushes the online shopping platform advertisements or the offline entity store advertisements according to the mobile terminal classification,
if the currently acquired mobile terminal is classified into a second-class mobile terminal or a first-class mobile terminal, determining an offline entity store corresponding to a commodity main body contained in a user consumption circle further according to the user consumption circle and the commodity main body, wherein the user consumption circle comprises a first user consumption circle and a second user consumption circle, and pushing offline entity store advertisements corresponding to the commodity main body and online shopping platform advertisements corresponding to the commodity main body contained in the user consumption circle of the user to the user through an advertisement pushing and matching module;
if the currently acquired mobile terminal is classified as a third-class mobile terminal, determining an offline entity store corresponding to a commodity main body contained in a user consumption circle according to the user consumption circle and the commodity main body, wherein the user consumption circle only comprises a first user consumption circle, and pushing offline entity store advertisements corresponding to the commodity main body and online shopping platform advertisements corresponding to the commodity main body contained in the first user consumption circle to a user through an advertisement pushing and matching module.
Further, the advertisement content screening module determines whether to push the advertisement to the user and the advertisement pushing time period according to the searched commodity, the searching time t, the consumption record and the category of the commodity, the advertisement content screening module obtains the consumption record of the user after the searching time t, and further obtains the corresponding consumed commodity main body according to the consumption record,
if the category to which the commodity belongs is a non-consumable product and one of the consumed commodity bodies displayed by the consumption records of the user after the search time t corresponds to the search commodity, the advertisement push matching module stops pushing the advertisement corresponding to the search commodity to the user after the user purchases the search commodity.
Compared with the prior art, the invention has the following beneficial effects: according to the method and the device, the consumption records of the user are obtained through the mobile terminal, the shopping habits of the user are further analyzed according to the consumption records, the user is divided into a plurality of corresponding consumption crowds according to the shopping habits, the mobile terminal of the user is classified according to the consumption crowd classification, the search keywords input by the user within a certain time period are analyzed, and the advertisement information is pushed to the corresponding user according to the mobile terminal classification, the search time and the consumption record selectivity after the time, so that invalid pushing is avoided, and the pushing efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding 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 principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic block diagram of a big data-based advertisement push monitoring system according to 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.
Referring to fig. 1, the present invention provides a technical solution:
an advertisement push monitoring system based on big data comprises a commodity data storage module, an information data collection module, a consumption record calling module, a shopping habit analysis module, a geographic position acquisition module, a user step number acquisition module, a user consumption circle generation module, a user travel mode acquisition module, an advertisement characteristic information generation module, an advertisement content screening module and an advertisement push matching module, wherein the commodity data storage module is used for pre-storing commodity names and types to which commodities belong, the types to which the commodities belong comprise consumables and non-consumables, the information data collection module acquires user information data through a mobile terminal, the user information data comprises mobile terminal information corresponding to a user, the consumption record calling module acquires consumption records of the user in a certain time period through the mobile terminal, the consumption records correspond to consumed commodity bodies, and the shopping habit analysis module is used for acquiring the shopping habit of the user according to the consumption records of the user in the certain time period The method comprises the steps of analyzing, dividing consumer groups to which users belong according to shopping habits, classifying mobile terminals of corresponding users according to the consumer groups to which the users belong, establishing a first user consumption circle and a second user consumption circle by a user consumption circle generation module according to the common positions and the consumer positions of the users, acquiring the going-out modes of the users between the common positions and the consumer positions by a user step number acquisition module, generating advertisement characteristic information to be pushed to a specified mobile terminal by an advertisement characteristic information generation module, screening advertisement contents according to the advertisement characteristic information to be pushed by an advertisement content screening module, and pushing the screened advertisement contents to the specified mobile terminal by an advertisement pushing matching module.
The consumption record calling module acquires consumption records of a corresponding user in a certain time period through the mobile terminal, the consumption records comprise online shopping consumption records and entity store consumption records, the shopping habit analyzing module is used for analyzing shopping habits of the user according to the consumption records of the user, the proportion of the online shopping consumption record times of the user and the entity store consumption record times to the total consumption record times is respectively calculated, the consumption groups to which the user belongs are further analyzed according to respective occupation ratios of online shopping consumption and entity store consumption, the consumption groups comprise online shopping consumption groups, entity store consumption groups and online shopping and entity store consumption groups, and online shopping consumption group labels, entity store consumption group labels and online shopping and entity store consumption group labels are attached to mobile terminal information of the corresponding user.
The shopping habit analysis module is connected with the consumption record calling module, the shopping habit analysis module obtains the total consumption record times N, the online shopping consumption record times W and the entity store consumption record times S of a user in a certain time period, and the online shopping consumption proportion of the online shopping consumption record times to the total consumption record times is
The ratio of consumption records of the physical stores to the total consumption records is
Further dividing the consumption population of the user according to the online shopping consumption proportion and the entity store consumption proportion, firstly confirming the mobile terminal classification corresponding to the current user,
consumption ratio of online shopping
Equal to the consumption proportion of the brick and mortar store
The method comprises the steps that when the current user mobile terminal is a first-class mobile terminal, the first-class mobile terminal is a mobile terminal of a consumer group of an online shopping and entity store;
consumption ratio of online shopping
Not equal to the consumption proportion of the brick and mortar store
Calculating the proportion difference between the online shopping consumption proportion and the physical store consumption proportion
Wherein, in the step (A),
is a proportional difference threshold value when the proportional difference is
When the number of the mobile terminals is less than 1, namely the mobile terminal of the current user is a first type mobile terminal;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
Or ratio of consumption of brick and mortar stores
When the number of the mobile terminals is 0, namely the mobile terminal of the current user is a second type mobile terminal or a third type mobile terminal, wherein the second type mobile terminal is a mobile terminal of a consumer group of the entity store, and the third type mobile terminal is a mobile terminal of an online shopping consumer group;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of people is not 0, if the consumption proportion of the physical store is
Greater than the consumption proportion of online shopping
If the current user mobile terminal is the second type mobile terminal;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of the products is not 0, the consumption ratio of the products is on-line
Greater than the consumption proportion of the brick and mortar store
And if so, the mobile terminal of the current user is the third type mobile terminal.
The geographical position acquisition module is connected with the consumption record calling module, acquires the common position of the user through the mobile terminal, the method comprises the steps that a consumption position of a user consumed in a physical store each time is further acquired according to consumption record information and a mobile terminal, a first user consumption circle and a second user consumption circle are established by a user consumption circle generation module by taking a common position and a consumption position of the user as the center of a circle, the maximum daily number of steps in a certain time period is further acquired by the user step number acquisition module through the mobile terminal, the user trip mode acquisition module further acquires the daily trip mode of the user in the certain time period through the mobile terminal, the user consumption circle generation module is connected with the user step number acquisition module and the user trip mode acquisition module, and the first user consumption circle radius and the second user consumption circle radius are further determined by the user consumption circle generation module according to the maximum daily number of steps and the daily trip mode of the user.
The user consumption circle generation module further obtains the maximum daily steps of the user in a certain time period
Calculating the maximum daily travel distance of the user according to the maximum daily steps of the user
Wherein, in the step (A),
the first user consumes the circle radius for the average distance from the toe of the heel to the heel of the forefoot of the user's normal one step
Wherein, in the step (A),
as a function of the number of the coefficients,
。
the user consumption circle generation module further obtains a travel mode from the user to a consumption position within a certain time period, and if the user uses a vehicle for travel, the radius of the second user consumption circle is
Wherein, in the step (A),
as a function of the number of the coefficients,
；
if the user is walking, further acquiring the distance from the travel starting position to the consumption position of the user
Second user circle radius of consumption
Wherein, in the step (A),
as a function of the number of the coefficients,
。
the information data collection module obtains search keyword information of a user in a network within a certain period of time through the mobile terminal, the information data collection module comprises a commodity keyword detection unit and a time information collection unit, the commodity keyword detection unit is connected with the commodity data storage module, the commodity keyword detection unit detects whether a commodity name is included in search keywords according to the commodity name and search keyword information input by the user, if the commodity name is included, the search commodity corresponding to the commodity name is further determined, the time information collection unit obtains the search time t when the commodity keyword detection unit detects that the commodity name is included in the search keywords, and the category of the search commodity is further determined according to the detected commodity name.
The information data collection module is connected with the advertisement characteristic information generation module, the advertisement characteristic information generation module acquires search commodities, the types of the commodities, the mobile terminal classification, the user consumption circle, the consumption record and the search time t to generate advertisement characteristic information to be pushed, and the advertisement content screening module screens advertisement content to be pushed according to the advertisement characteristic information to be pushed.
The advertisement content screening module firstly classifies the advertisement content to be pushed, the advertisement content classification comprises online shopping platform advertisements and offline entity store advertisements, the advertisement content screening module determines a commodity main body of the advertisement to be pushed according to the searched commodities and further selects and pushes the online shopping platform advertisements or the offline entity store advertisements according to the mobile terminal classification,
if the currently acquired mobile terminal is classified into a second-class mobile terminal or a first-class mobile terminal, determining an offline entity store corresponding to a commodity main body contained in a user consumption circle further according to the user consumption circle and the commodity main body, wherein the user consumption circle comprises a first user consumption circle and a second user consumption circle, and pushing offline entity store advertisements corresponding to the commodity main body and online shopping platform advertisements corresponding to the commodity main body contained in the user consumption circle of the user to the user through an advertisement pushing and matching module;
if the currently acquired mobile terminal is classified as a third-class mobile terminal, determining an offline entity store corresponding to the commodity main body contained in the user consumption circle according to the user consumption circle and the commodity main body, wherein the user consumption circle only comprises the first user consumption circle, and pushing offline entity store advertisements corresponding to the commodity main body and online shopping platform advertisements corresponding to the commodity main body contained in the first user consumption circle to the user through an advertisement pushing and matching module.
The advertisement content screening module determines whether to push advertisements to the user and the advertisement pushing time interval according to the searched commodities, the searching time t, the consumption records and the belonged categories of the commodities, the advertisement content screening module acquires the consumption records of the user after the searching time t and further acquires corresponding consumed commodity main bodies according to the consumption records,
if the category to which the commodity belongs is a non-consumable product and one of the consumed commodity bodies displayed by the consumption records of the user after the search time t corresponds to the search commodity, the advertisement push matching module stops pushing the advertisement corresponding to the search commodity to the user after the user purchases the search commodity.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (1)
1. The utility model provides an advertisement propelling movement monitoring system based on big data which characterized in that: the system comprises a commodity data storage module, an information data collection module, a consumption record calling module, a shopping habit analysis module, a geographic position acquisition module, a user step number acquisition module, a user consumption circle generation module, a user travel mode acquisition module, an advertisement characteristic information generation module, an advertisement content screening module and an advertisement pushing matching module, wherein the commodity data storage module is used for storing commodity names and types of commodities in advance, the types of the commodities comprise consumables and non-consumables, the information data collection module acquires user information data through a mobile terminal, the user information data comprises mobile terminal information corresponding to a user, the consumption record calling module acquires consumption records of the user in a certain time period through the mobile terminal, the consumption records correspond to a consumed commodity main body, and the shopping habit analysis module is used for dividing the shopping habits of the user according to the consumption records of the user in the certain time period Analyzing, dividing consumer groups to which users belong according to shopping habits, and classifying mobile terminals corresponding to the users according to the consumer groups to which the users belong, wherein the geographic position acquisition module is used for acquiring common positions and consumption places of the users, the user step number acquisition module is used for acquiring the steps of the users every day, the user consumption circle generation module establishes a first user consumption circle and a second user consumption circle according to the common positions and the consumption places of the users, the user travel way acquisition module is used for acquiring travel ways of the users reciprocating between the common positions and the consumption places, the advertisement characteristic information generation module is used for generating advertisement characteristic information to be pushed to an appointed mobile terminal, the advertisement content screening module is used for screening advertisement contents according to the advertisement characteristic information to be pushed, and the advertisement pushing matching module is used for pushing the screened advertisement contents to the appointed mobile terminal,
the consumption record calling module acquires consumption records corresponding to a user in a certain time period through the mobile terminal, the consumption records comprise online shopping consumption records and entity store consumption records, the shopping habit analyzing module is used for analyzing the shopping habits of the user according to the consumption records of the user, respectively calculating the proportion of the online shopping consumption record times of the user and the entity store consumption record times to the total consumption record times, and further analyzing the consumption groups of the user according to the respective occupation ratios of online shopping consumption and entity store consumption, wherein the consumption groups comprise online shopping consumption groups, entity store consumption groups and online shopping and entity store consumption groups, and online shopping consumption group labels, entity store consumption label groups and online shopping and entity store consumption group labels are attached to the mobile terminal information of the corresponding user,
the shopping habit analyzing module is connected with the consumption record calling module, the shopping habit analyzing module acquires the total consumption record times N, the online shopping consumption record times W and the entity store consumption record times S of a user in a certain time period, and the online shopping consumption proportion of the online shopping consumption record times to the total consumption record times is
The ratio of the consumption records of the physical stores to the total consumption records is
Further dividing the consumption population of the user according to the online shopping consumption proportion and the entity store consumption proportion, firstly confirming the mobile terminal classification corresponding to the current user,
consumption ratio of online shopping
Equal to the consumption proportion of the brick and mortar store
The method comprises the steps that when the current user mobile terminal is a first-class mobile terminal, the first-class mobile terminal is a mobile terminal of a consumer group of an online shopping and entity store;
consumption ratio of online shopping
Not equal to the consumption proportion of the brick and mortar store
Timely and timely calculating the online shopping consumption proportionProportional difference from consumption proportion of physical store
Wherein, in the step (A),
is a proportional difference threshold value when the proportional difference is
When the number of the mobile terminals is less than 1, namely the mobile terminal of the current user is a first type mobile terminal;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
Or ratio of consumption of brick and mortar stores
When the number of the mobile terminals is 0, namely the mobile terminal of the current user is a second type mobile terminal or a third type mobile terminal, wherein the second type mobile terminal is a mobile terminal of a consumer group of a physical store, and the third type mobile terminal is a mobile terminal of an online shopping consumer group;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of people is not 0, if the consumption proportion of the physical store is
Greater than the consumption proportion of online shopping
If the current user mobile terminal is the second type mobile terminal;
when the ratio is poor
Greater than or equal to 1 and the online shopping consumption proportion
And ratio of consumption of brick and mortar store
When the number of the products is not 0, the consumption ratio of the products is on-line
Greater than the consumption proportion of the brick and mortar store
Then the mobile terminal of the current user is a third type mobile terminal,
the system comprises a geographical position acquisition module, a consumption record calling module, a user consumption circle generation module, a user step number acquisition module, a user travel mode acquisition module, a user consumption circle generation module, a user step number acquisition module and a user travel mode acquisition module, wherein the geographical position acquisition module is connected with the consumption record calling module, acquires the common position of a user through a mobile terminal and further acquires the consumption position of the user consumed in a physical store each time according to consumption record information and the mobile terminal, the user consumption circle generation module establishes a first user consumption circle and a second user consumption circle by taking the common position and the consumption position of the user as the center of a circle, the user step number acquisition module further acquires the maximum daily step number in a certain time period through the mobile terminal, the user travel mode acquisition module further acquires the user daily travel mode in a certain time period through the mobile terminal, the user consumption circle generation module is connected with the user step number acquisition module and the user travel mode acquisition module, and the user consumption circle,
the user consumption circle generation module further obtains the maximum daily steps of the user in a certain time period
Calculating the maximum daily travel distance of the user according to the maximum daily steps of the user
Wherein, in the step (A),
the first user consumes the circle radius for the average distance from the toe of the heel to the heel of the forefoot of a normal step of the user
Wherein, in the step (A),
as a function of the number of the coefficients,
，
the user consumption circle generating module further obtains a travel mode from the user to a consumption position within a certain time period, and if the user uses a vehicle to travel, the radius of the second user consumption circle is
Wherein, in the step (A),
as a function of the number of the coefficients,
；
if the user is walking, further obtainTaking the distance from the starting position of travel to the consuming position of the user
The second user circle radius of consumption
Wherein, in the step (A),
as a function of the number of the coefficients,
，
the information data collection module obtains the search keyword information of a user in a network within a certain period of time through a mobile terminal, the information data collection module comprises a commodity keyword detection unit and a time information collection unit, the commodity keyword detection unit is connected with a commodity data storage module, the commodity keyword detection unit detects whether a commodity name is included in the search keywords according to the commodity name and the search keyword information input by the user, if the commodity name is included, the search commodity corresponding to the commodity name is further determined, the time information collection unit obtains the search time t when the commodity keyword detection unit detects that the search keywords include the commodity name, and further determines the category of the search commodity according to the detected commodity name,
the information data collection module is connected with an advertisement characteristic information generation module, the advertisement characteristic information generation module acquires search commodities, the types of the commodities, mobile terminal classification, user consumption circles, consumption records and search time t to generate advertisement characteristic information to be pushed, the advertisement content screening module screens advertisement content to be pushed according to the advertisement characteristic information to be pushed,
the advertisement content screening module firstly classifies advertisement contents to be pushed, the advertisement content classification comprises online shopping platform advertisements and offline entity store advertisements, the advertisement content screening module determines a commodity main body of the advertisement to be pushed according to searched commodities and further selects and pushes the online shopping platform advertisements or the offline entity store advertisements according to the mobile terminal classification,
if the currently acquired mobile terminal is classified into a second-class mobile terminal or a first-class mobile terminal, determining an offline entity store corresponding to a commodity main body contained in a user consumption circle further according to the user consumption circle and the commodity main body, wherein the user consumption circle comprises a first user consumption circle and a second user consumption circle, and pushing offline entity store advertisements corresponding to the commodity main body and online shopping platform advertisements corresponding to the commodity main body contained in the user consumption circle of the user to the user through an advertisement pushing and matching module;
if the currently acquired mobile terminal is classified as a third-class mobile terminal, determining an offline entity store corresponding to a commodity main body contained in a user consumption circle according to the user consumption circle and the commodity main body, wherein the user consumption circle only comprises a first user consumption circle, pushing an offline entity store advertisement corresponding to the commodity main body and an online shopping platform advertisement corresponding to the commodity main body contained in the first user consumption circle to a user through an advertisement pushing and matching module,
the advertisement content screening module determines whether to push advertisements to the user and the advertisement pushing time interval according to the searched commodities, the searching time t, the consumption records and the belonged categories of the commodities, the advertisement content screening module acquires the consumption records of the user after the searching time t and further acquires corresponding consumed commodity main bodies according to the consumption records,
if the category to which the commodity belongs is a non-consumable product and one of the consumed commodity bodies displayed by the consumption records of the user after the search time t corresponds to the search commodity, the advertisement push matching module stops pushing the advertisement corresponding to the search commodity to the user after the user purchases the search commodity.
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