CN110232600A - A kind of large-size screen monitors advertisement orientation jettison system and method based on the analysis of multi-source heterogeneous data - Google Patents
A kind of large-size screen monitors advertisement orientation jettison system and method based on the analysis of multi-source heterogeneous data Download PDFInfo
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- CN110232600A CN110232600A CN201910528301.4A CN201910528301A CN110232600A CN 110232600 A CN110232600 A CN 110232600A CN 201910528301 A CN201910528301 A CN 201910528301A CN 110232600 A CN110232600 A CN 110232600A
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Abstract
The invention discloses a kind of large-size screen monitors advertisements based on the analysis of multi-source heterogeneous data to orient jettison system, is related to advertisement and launches technical field.Including multi-source heterogeneous data acquisition module, multi-source heterogeneous data are obtained;Multi-source heterogeneous data analysis module analyzes multi-source heterogeneous data;Commodity classification module classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class commodity;Class demand for commodity degree computing module is consumed, the demand degree of consumption class commodity is calculated;On-consumable class demand for commodity degree computing module, calculates the demand degree of on-consumable class commodity;Advertisement dispensing value computing module calculates separately its dispensing value for corresponding to advertisement for consumption class commodity and on-consumable class commodity;Advertisement putting module is cancelled dispensing in consumption class commodity and on-consumable class commodity respectively and is worth in the corresponding advertisement dispensing to large-size screen monitors of maximum preceding T commodity.The present invention selects corresponding advertisement preferentially to be pushed for the consumer demand in limited area.
Description
Technical field
The present invention relates to advertisements to launch technical field more particularly to a kind of large-size screen monitors advertisement based on the analysis of multi-source heterogeneous data
Orient jettison system and method.
Background technique
One word of advertisement is the translated name of English " Advertising ".According to textual criticism, English this word source " Advertising "
In Latin language -- Adverture initially means arresting, the meaning with notice, induction, disclosure.Later
This word of Adverture develops into Advertise in the Middle English epoch (about Christian era 1300-1475), and meaning is widened
Are as follows: " someone is made to notice something " or " others' something being notified, to cause other people attention ".
With the development of society, advertisement is at every moment present in the every aspect of people's life.In the advertisement of numerous forms
In the middle, large-size screen monitors advertisement has its particularity, because large-size screen monitors advertiser will launch in public situations such as markets, has more directly for consumer
Popularizing action.And existing large-size screen monitors advertisement is usually to play out according to preset sequence to advertisement.For consumer
For, the less pertinence of advertisement is strong.
Summary of the invention
The purpose of the present invention is to provide it is a kind of based on multi-source heterogeneous data analysis large-size screen monitors advertisement orientation jettison system and
Method selects corresponding advertisement preferentially to be pushed for the consumer demand in limited area.
To achieve the above object, the invention provides the following technical scheme:
A kind of large-size screen monitors advertisement orientation jettison system based on the analysis of multi-source heterogeneous data, it is characterised in that including,
Multi-source heterogeneous data acquisition module obtains multi-source heterogeneous data, including the consumer record of multi-user in limited area,
Web page browsing record;
Multi-source heterogeneous data analysis module analyzes the multi-source heterogeneous data, extracts the commodity name in consumer record, disappears
Title, the abstract for taking each webpage in date and web page browsing record, segment the title, abstract, from word segmentation result
Middle extraction commodity name;
Commodity classification module classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class
Commodity;
Class demand for commodity degree computing module is consumed, the demand degree of consumption class commodity is calculated;
On-consumable class demand for commodity degree computing module, calculates the demand degree of on-consumable class commodity;
Advertisement dispensing value computing module calculates separately it and corresponds to advertisement for consumption class commodity and on-consumable class commodity
Dispensing value;
Advertisement putting module cancels dispensing in consumption class commodity and on-consumable class commodity respectively and is worth maximum preceding T commodity pair
The advertisement answered is launched onto large-size screen monitors.
Further, the circular of the consumption class demand for commodity degree computing module is as follows:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiConsumption class quotient is bought for user's the last time
The number of product i;diDuration is recommended to use for consumption class commodity i;D0For current date, DiIt buys and disappears for user's the last time
Consume the date of class commodity i.
Further, the circular of the advertisement dispensing value computing module is as follows: the need of statistics consumption class commodity
The number of users that degree of asking meets condition corresponds to the dispensing value of advertisement as consumption class commodity;All users are counted to on-consumable class commodity
The sum of demand degree the dispensing value of advertisement is corresponded to as the on-consumable class commodity.
Further, the demand degree of the consumption class commodity meets condition are as follows:WhereinIt is preset
Threshold value.
Further, the circular of the on-consumable class demand for commodity degree computing module is as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity,
If there are the on-consumable class commodity j, α in consumer recordj=1, otherwise αj=0;X1For consumption demand value, by user or system
Setting;βjFor the browsing coefficient of the on-consumable class commodity, if there are on-consumable class quotient in the word segmentation result of web page browsing record
Product j, then βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1。
A kind of large-size screen monitors advertisement orientation put-on method based on the analysis of multi-source heterogeneous data, which is characterized in that including following step
It is rapid:
S1 obtains multi-source heterogeneous data, including the consumer record of multi-user, web page browsing record in limited area;
S2 analyzes the multi-source heterogeneous data, extracts commodity name, consumption date and web page browsing in consumer record
The title of each webpage, abstract in record, segment the title, abstract, commodity name are extracted from word segmentation result;
S3 classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class commodity;
S4 calculates demand degree of each user to the commodity for consumption class commodity, and the demand degree for counting the commodity meets
The number of users of condition corresponds to the dispensing value of advertisement as consumption class commodity;For on-consumable class commodity, all users are counted to this
The sum of demand degree of commodity corresponds to the dispensing value of advertisement as the on-consumable class commodity;
S5 cancels dispensing in consumption class commodity and on-consumable class commodity respectively and is worth the corresponding advertisement throwing of maximum preceding T commodity
It is put on large-size screen monitors.
Further, in the S4, each user is as follows to the calculating process of the demand degree of consumption class commodity:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiConsumption class quotient is bought for user's the last time
The number of product i;diDuration is recommended to use for consumption class commodity i;D0For current date, DiIt buys and disappears for user's the last time
Consume the date of class commodity i.
Further, for consumption class commodity, demand degree meets condition and isWhereinIt is preset
Threshold value.
Further, describedFor dynamic threshold,
Further, in the S4, calculation method of each user to the demand degree of on-consumable class commodity are as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity,
If there are the on-consumable class commodity j, α in consumer recordj=1, otherwise αj=0;X1For consumption demand value, by user or system
Setting;βjFor the browsing coefficient of the on-consumable class commodity, if there are on-consumable class quotient in the word segmentation result of web page browsing record
Product j, then βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1。
Compared with prior art, the beneficial effects of the present invention are: the present invention obtains the multi-source heterogeneous data limited in range,
And by commodity classification at consumption class commodity and on-consumable class commodity;Under different classifications, user is calculated separately to the need of the commodity
Degree of asking judges whether the advertisement dispensing value large-size screen monitors to corresponding commodity on this basis;When advertisement dispensing of the invention is based on current
The collective demand for limiting user in range is carved, is launched more accurate.
Detailed description of the invention
Fig. 1 is system principle diagram of the invention.
Specific embodiment
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described embodiment
Only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this field
Art personnel every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
Fig. 1 is please referred to, the present invention provides a kind of large-size screen monitors advertisement orientation jettison system based on the analysis of multi-source heterogeneous data,
Be characterized in that include,
Multi-source heterogeneous data acquisition module obtains multi-source heterogeneous data, including the consumer record of multi-user in limited area,
Web page browsing record;Specific implementation are as follows: the consumer record and web page browsing record in the user mobile phone of connection market wifi are obtained,
Or the position that mobile phone is presently in is obtained according to GPS module, and obtain the use in a fan-shaped region in front of current large-size screen monitors
The consumer record of family mobile phone and web page browsing record.The source for defining data is the user in current market, so that the later period
Data processing has more specific aim.
Multi-source heterogeneous data analysis module analyzes the multi-source heterogeneous data, extracts the commodity name in consumer record, disappears
Title, the abstract for taking each webpage in date and web page browsing record, segment the title, abstract, from word segmentation result
Middle extraction commodity name;It analyzes result and is used for, reaction user demand degree to commodity basic as the calculating in later period.
Commodity classification module classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class
Commodity;And demand degree of the user to commodity is calculated separately using different algorithms according to classification results.
Class demand for commodity degree computing module is consumed, the demand degree of consumption class commodity is calculated;Circular is such as
Under:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiConsumption class quotient is bought for user's the last time
The number of product i;diDuration is recommended to use for consumption class commodity i;D0For current date, DiIt buys and disappears for user's the last time
Consume the date of class commodity i.
On-consumable class demand for commodity degree computing module, calculates the demand degree of on-consumable class commodity;Specific calculating side
Method is as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity,
If there are the on-consumable class commodity j, α in consumer recordj=1, otherwise αj=0;X1For consumption demand value, by user or system
Setting;βjFor the browsing coefficient of the on-consumable class commodity, if there are on-consumable class quotient in the word segmentation result of web page browsing record
Product j, then βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1。
Advertisement dispensing value computing module calculates separately it and corresponds to advertisement for consumption class commodity and on-consumable class commodity
Dispensing value;Circular is as follows: the demand degree of statistics consumption class commodity meets the number of users of condition as consumption class commodity
The dispensing value of corresponding advertisement, it is worth mentioning at this point that, the demand degree of the consumption class commodity meets condition are as follows:WhereinFor preset threshold value.It counts all users and the on-consumable class commodity pair is used as to the sum of demand degree of on-consumable class commodity
Answer the dispensing value of advertisement.
Advertisement putting module cancels dispensing in consumption class commodity and on-consumable class commodity respectively and is worth maximum preceding T commodity pair
The advertisement answered is launched onto large-size screen monitors.
The present invention also provides a kind of large-size screen monitors advertisements based on the analysis of multi-source heterogeneous data to orient put-on method, and feature exists
In, comprising the following steps:
S1 obtains multi-source heterogeneous data, including the consumer record of multi-user, web page browsing record in limited area;
S2 analyzes the multi-source heterogeneous data, extracts commodity name, consumption date and web page browsing in consumer record
The title of each webpage, abstract in record, segment the title, abstract, commodity name are extracted from word segmentation result;
S3 classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class commodity;
S4 calculates demand degree of each user to the commodity for consumption class commodity, and the demand degree for counting the commodity meets
The number of users of condition corresponds to the dispensing value of advertisement as consumption class commodity;For on-consumable class commodity, all users are counted to this
The sum of demand degree of commodity corresponds to the dispensing value of advertisement as the on-consumable class commodity;Wherein,
Each user is as follows to the calculating process of the demand degree of consumption class commodity:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiConsumption class quotient is bought for user's the last time
The number of product i;diDuration is recommended to use for consumption class commodity i;D0For current date, unit is day, DiFor the user nearest one
On the date of secondary purchase consumption class commodity i, unit is day.This kind of commodity are calculated by above formula to use in the residue of current time
It is time, smaller using the time, illustrate that consumption class commodity needs replenish, demand degree of the user to the commodity improves.
For consumption class commodity, demand degree meets condition and isWhereinFor preset threshold value;It is preferred that
, it is describedFor dynamic threshold,I.e. when a commodity be consumed to residue 3 at it is following when, user is to its demand degree
For a relatively reasonable value.
Calculation method of each user to the demand degree of on-consumable class commodity are as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity,
If there are the on-consumable class commodity j, α in consumer recordj=1, otherwise αj=0;X1For consumption demand value, by user or system
Setting, preferably 0.5;βjIt is non-if there are this in the word segmentation result of web page browsing record for the browsing coefficient of the on-consumable class commodity
Class commodity j is consumed, then βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1.User is to the history purchase of commodity, history
Browsing or historical viewings and buy respectively correspond different specific gravity, to react user to the demand degree of on-consumable class commodity.
S5 cancels dispensing in consumption class commodity and on-consumable class commodity respectively and is worth the corresponding advertisement throwing of maximum preceding T commodity
It is put on large-size screen monitors, and will consumption class commodity and the alternately broadcasting of on-consumable class commodity.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.
Claims (10)
1. a kind of large-size screen monitors advertisement based on the analysis of multi-source heterogeneous data orients jettison system, it is characterised in that including,
Multi-source heterogeneous data acquisition module obtains multi-source heterogeneous data, including the consumer record of multi-user, webpage in limited area
Browsing record;
Multi-source heterogeneous data analysis module analyzes the multi-source heterogeneous data, extracts the commodity name in consumer record, consumes day
Title, the abstract of each webpage, segment the title, abstract, mention from word segmentation result in phase and web page browsing record
Take commodity name;
Commodity classification module classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class commodity;
Class demand for commodity degree computing module is consumed, the demand degree of consumption class commodity is calculated;
On-consumable class demand for commodity degree computing module, calculates the demand degree of on-consumable class commodity;
Advertisement dispensing value computing module calculates separately its dispensing for corresponding to advertisement for consumption class commodity and on-consumable class commodity
Value;
It is corresponding to cancel the maximum preceding T commodity of dispensing value in consumption class commodity and on-consumable class commodity respectively for advertisement putting module
Advertisement is launched onto large-size screen monitors.
2. the large-size screen monitors advertisement of multi-source heterogeneous data analysis according to claim 1 orients jettison system, which is characterized in that institute
The circular for stating consumption class demand for commodity degree computing module is as follows:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiBuy consumption class commodity i's for user's the last time
Number;diDuration is recommended to use for consumption class commodity i;D0For current date, DiConsumption class quotient is bought for user's the last time
The date of product i.
3. the large-size screen monitors advertisement of multi-source heterogeneous data analysis according to claim 2 orients jettison system, which is characterized in that institute
The circular for stating advertisement dispensing value computing module is as follows: the demand degree of statistics consumption class commodity meets the number of users of condition
The dispensing value of advertisement is corresponded to as consumption class commodity;It is non-as this to the sum of demand degree of on-consumable class commodity to count all users
Consumption class commodity correspond to the dispensing value of advertisement.
4. the large-size screen monitors advertisement of multi-source heterogeneous data analysis according to claim 3 orients jettison system, which is characterized in that institute
The demand degree for stating consumption class commodity meets condition are as follows:WhereinFor preset threshold value.
5. the large-size screen monitors advertisement of multi-source heterogeneous data analysis according to claim 1 orients jettison system, which is characterized in that institute
The circular for stating on-consumable class demand for commodity degree computing module is as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity, if disappearing
Take in record there are on-consumable class commodity j, then αj=1, otherwise αj=0;X1For consumption demand value, it is arranged by user or system;
βjFor the browsing coefficient of the on-consumable class commodity, if there are on-consumable class commodity j in the word segmentation result of web page browsing record,
βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1。
6. a kind of large-size screen monitors advertisement based on the analysis of multi-source heterogeneous data orients put-on method, which comprises the following steps:
S1 obtains multi-source heterogeneous data, including the consumer record of multi-user, web page browsing record in limited area;
S2 analyzes the multi-source heterogeneous data, extracts commodity name, consumption date and web page browsing record in consumer record
In each webpage title, abstract, to the title, abstract segment, commodity name is extracted from word segmentation result;
S3 classifies to commodity according to the commodity name, is divided into consumption class commodity and on-consumable class commodity;
S4 calculates demand degree of each user to the commodity, the demand degree for counting the commodity meets condition for consumption class commodity
Number of users correspond to the dispensing value of advertisement as consumption class commodity;For on-consumable class commodity, all users are counted to the commodity
The sum of demand degree the dispensing value of advertisement is corresponded to as the on-consumable class commodity;
S5 cancels the corresponding advertisement of the maximum preceding T commodity of dispensing value in consumption class commodity and on-consumable class commodity respectively and launches and arrives
On large-size screen monitors.
7. the large-size screen monitors advertisement according to claim 6 based on the analysis of multi-source heterogeneous data orients put-on method, feature exists
In in the S4, each user is as follows to the calculating process of the demand degree of consumption class commodity:
ΔDi=kidi-(D0-Di)
Wherein, Δ DiIt is the user to the demand degree of consumption class commodity i;kiBuy consumption class commodity i's for user's the last time
Number;diDuration is recommended to use for consumption class commodity i;D0For current date, DiConsumption class quotient is bought for user's the last time
The date of product i.
8. the large-size screen monitors advertisement according to claim 7 based on the analysis of multi-source heterogeneous data orients put-on method, feature exists
In for consumption class commodity, demand degree meets condition and isWhereinFor preset threshold value.
9. the large-size screen monitors advertisement according to claim 8 based on the analysis of multi-source heterogeneous data orients put-on method, feature exists
In describedFor dynamic threshold,
10. the large-size screen monitors advertisement according to claim 6 based on the analysis of multi-source heterogeneous data orients put-on method, feature exists
In, in the S4, calculation method of each user to the demand degree of on-consumable class commodity are as follows:
ΔXj=αjX1+βjX2
Wherein, Δ XjIt is the user to the demand degree of on-consumable class commodity j;αjFor the consumption coefficient of the on-consumable class commodity, if disappearing
Take in record there are on-consumable class commodity j, then αj=1, otherwise αj=0;X1For consumption demand value, it is arranged by user or system;
βjFor the browsing coefficient of the on-consumable class commodity, if there are on-consumable class commodity j in the word segmentation result of web page browsing record,
βj=1, otherwise βj=0;X2To browse requirements, X2=1-X1。
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110852853A (en) * | 2019-11-27 | 2020-02-28 | 盐城工学院 | Duplication removal recommendation method based on substance diffusion |
CN111160566A (en) * | 2019-12-26 | 2020-05-15 | 腾讯科技(深圳)有限公司 | Sample generation method and device, computer readable storage medium and computer equipment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130268317A1 (en) * | 2010-12-07 | 2013-10-10 | Digital Foodie Oy | Arrangement for facilitating shopping and related method |
CN106651432A (en) * | 2016-10-31 | 2017-05-10 | 南京魔格信息科技有限公司 | Building advertisement accurate putting system and method |
CN107563807A (en) * | 2017-08-29 | 2018-01-09 | 重庆邮电大学 | A kind of regional advertisement supplying system based on data mining |
CN108230051A (en) * | 2018-02-12 | 2018-06-29 | 昆山数泰数据技术有限公司 | A kind of user based on label Weight algorithm is to the determining method of commodity attention rate |
-
2019
- 2019-06-18 CN CN201910528301.4A patent/CN110232600A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130268317A1 (en) * | 2010-12-07 | 2013-10-10 | Digital Foodie Oy | Arrangement for facilitating shopping and related method |
CN106651432A (en) * | 2016-10-31 | 2017-05-10 | 南京魔格信息科技有限公司 | Building advertisement accurate putting system and method |
CN107563807A (en) * | 2017-08-29 | 2018-01-09 | 重庆邮电大学 | A kind of regional advertisement supplying system based on data mining |
CN108230051A (en) * | 2018-02-12 | 2018-06-29 | 昆山数泰数据技术有限公司 | A kind of user based on label Weight algorithm is to the determining method of commodity attention rate |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110852853A (en) * | 2019-11-27 | 2020-02-28 | 盐城工学院 | Duplication removal recommendation method based on substance diffusion |
CN111160566A (en) * | 2019-12-26 | 2020-05-15 | 腾讯科技(深圳)有限公司 | Sample generation method and device, computer readable storage medium and computer equipment |
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Application publication date: 20190913 |
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