CN107403359A - A kind of accurate commending system of electric business platform commodity and its method - Google Patents
A kind of accurate commending system of electric business platform commodity and its method Download PDFInfo
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- CN107403359A CN107403359A CN201710596751.8A CN201710596751A CN107403359A CN 107403359 A CN107403359 A CN 107403359A CN 201710596751 A CN201710596751 A CN 201710596751A CN 107403359 A CN107403359 A CN 107403359A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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Abstract
The invention discloses a kind of accurate commending system of electric business platform commodity and its method, the system to include：Merchandise news memory module, the consumption demand for being met by for each commodity set default label to carry out classification storage；Merchandise news analysis module, for for each user, the merchandise news obtained in each user each search behavior is analyzed；User profile analysis module, for for each user, carrying out user's portrait using above-mentioned analysis result, analyzing other consumption demands of user using this portrait, and then other consumption demands to user set search label；Merchandise news assembled classification module, for for each user, the default label for the search label contrast merchandise news memory module that user's search behavior is obtained, selecting matching commodity and the alternative storehouse of composition；Commercial product recommending module, for for each user, extracting the commodity in alternative storehouse, user being recommended when user scans for behavior.
Description
Technical field
The present invention relates to computer application field, more particularly, to a kind of accurate commending system of electric business platform commodity and its side
Method.
Background technology
At present, the commodity that electric business platform all can have focused on and buy according to customer carry out the recommendation of new commodity, and this
The commodity that a little commodity newly recommended substantially have been paid close attention to or bought with customer are similar, and for example, customer's concern, which have purchased, repaiies
Body jeans, electric business platform continue recommendation and cultivated one's moral character jeans, if in fact, customer will buy certain commodity on the net, even if
There is no electric business platform to recommend similar commodity, oneself can all be compared similar commodity extensively, such recommendation method
Demand of the customer to other commodity can not deeply be excavated.
The content of the invention
To solve the above problems, the present invention proposes the commodity that a kind of basis has been searched for and is come precisely recommend other commodity
System and its method.
The technical solution adopted in the present invention is a kind of accurate commending system of electric business platform commodity, and the system includes：
Merchandise news memory module, the consumption demand for being met by for each commodity set default
Label carries out classification storage；
Merchandise news analysis module, for for each user, each to be searched for each user
The merchandise news obtained in behavior is analyzed；
User profile analysis module, for for each user, carrying out user's portrait using above-mentioned analysis result, utilizing
This is drawn a portrait to analyze other consumption demands of user, and then other consumption demands to user set search label；
Merchandise news assembled classification module, for for each user, the search label that user's search behavior is obtained to contrast
The default label of merchandise news memory module, select matching commodity and the alternative storehouse of composition；
Commercial product recommending module, for for each user, extracting the commodity in alternative storehouse, being pushed away when user scans for behavior
Recommend to user.
As further technical scheme, the merchandise news memory module is additionally operable to set the recommendation that commodity preset label
Value, arranged when merchandise news assembled classification module is combined matching according to the recommendation of default label, the recommendation is adopted
The mode bidded with businessman is set.
As further technical scheme, the search behavior includes collection, concern, purchase or repeatedly browses click.
Invention also improves a kind of method of the above-mentioned accurate commending system of electric business platform commodity, comprise the following steps：
A. by the commodity on electric business platform according to its merchandise news（The consumption demand being met by）Default label is set（Such as
R000001、R000002、R000003......）And store；
B. the commodity searched for when user scans for behavior to user carry out merchandise news analysis;
C. user is drawn a portrait according to the above-mentioned b analysis results drawn, other consumption of user is analyzed using this portrait
Demand, and then other consumption demands to user set search label（Such as S000001, S000002, S000003......）；
D. the search label of user is preset into label with the commodity stored to be matched, forms alternative storehouse（As S000001 is corresponding
R000001, S000002 correspond to R000002）；
E. the commodity in alternative storehouse are recommended into user by way of pop-up.
For Optimization Steps, in the step e, the sequence of commodity is ranked up according to the default recommendation of label；
Compared with prior art, it has the advantages that the present invention：
The accurate commending system of electric business platform commodity and its method of the present invention is deeply to excavate user on the basis of old flow
To the demand of other commodity, the integrated marketing volume of electric business platform can be effectively improved, and does not need new flow cost, is passed through
Benefit of helping is obviously.
Brief description of the drawings
Fig. 1 is the system block diagram of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with drawings and the embodiments,
The present invention will be described in further detail, it should be appreciated that embodiment described herein is only explaining this
Invention, is not intended to limit the present invention.
A kind of accurate commending system of electric business platform commodity as shown in Figure 1, the system include：
Merchandise news memory module, the consumption demand for being met by for each commodity set default label to carry out classification and deposited
Storage；
Merchandise news analysis module, for for each user, to the business obtained in each user each search behavior
Product information is analyzed；
User profile analysis module, for for each user, carrying out user's portrait using above-mentioned analysis result, utilizing
This is drawn a portrait to analyze other consumption demands of user, and then other consumption demands to user set search label；
Merchandise news assembled classification module, for for each user, the search label that user's search behavior is obtained to contrast
The default label of merchandise news memory module, select matching commodity and the alternative storehouse of composition；
Commercial product recommending module, for for each user, extracting the commodity in alternative storehouse, being pushed away when user scans for behavior
Recommend to user.
Present invention also offers a kind of method of the above-mentioned accurate commending system of electric business platform commodity, comprise the following steps：
A. the information for the consumption demand commodity on electric business platform being met by according to its commodity sets default label and stored
Get up；
B. the merchandise news searched for when user scans for behavior to user is analyzed；
C. user is drawn a portrait according to the above-mentioned b analysis results drawn, other consumption of user is analyzed using this portrait
Demand, and then other consumption demands to user set search label；
D. the search label of user is preset into label with the commodity stored to be matched, forms alternative storehouse；
E. the commodity in alternative storehouse are recommended into user by way of pop-up.
The merchandise news memory module is additionally operable to set the recommendation that commodity preset label, in merchandise news assembled classification
Arranged when module is combined matching according to the recommendation of default label, the recommendation is set using businessman's bidding fashion.
For Optimization Steps, in the step e, the sequence of commodity is ranked up according to the default recommendation of label.
In some embodiments, user has searched for a shoulder women's dress, and for the angle of garment coordination, user also needs to no shoulder
Band brassiere, then other consumption demands in this example are exactly no shoulder belt brassiere, if by all no shoulder belt brassieres（Including
Different brands, different styles, different sizes, different colours, different materials etc.）It is R000001 to set default label, then right
Answer, here+search label should just be arranged to S000001;
In other embodiment, user has searched for loose code women's dress, illustrates that user's build is partially fat, just has very big fat-reducing to need
Ask, then other consumption demands in this example are exactly demand of losing weight, if all commodity that can meet fat-reducing demand set
It is R000036 to put default label, then corresponding, search label here should just be arranged to S000036；
The above-described embodiments are merely illustrative of preferred embodiments of the present invention, not to the present invention design and
Scope is defined.On the premise of design concept of the present invention is not departed from, ordinary people in the field is to technical scheme
The all variations and modifications made, it all should drop into protection scope of the present invention, the claimed technology contents of the present invention,
Through all recording in detail in the claims.
Claims (6)
1. a kind of accurate commending system of electric business platform commodity, it is characterised in that the system includes：
Merchandise news memory module, the consumption demand for being met by for each commodity set default label to carry out classification and deposited
Storage；
Merchandise news analysis module, for for each user, to the business obtained in each user each search behavior
Product information is analyzed；
User profile analysis module, for for each user, carrying out user's portrait using above-mentioned analysis result, utilizing
This is drawn a portrait to analyze other consumption demands of user, and then other consumption demands to user set search label；
Merchandise news assembled classification module, for for each user, the search label that user's search behavior is obtained to contrast
The default label of merchandise news memory module, select matching commodity and the alternative storehouse of composition；
Commercial product recommending module, for for each user, extracting the commodity in alternative storehouse, being pushed away when user scans for behavior
Recommend to user.
A kind of 2. accurate commending system of electric business platform commodity according to claim 1, it is characterised in that the merchandise news
Assembled classification module arranges according to default label with searching for the matching degree of label.
3. according to claim 1, it is characterised in that the merchandise news memory module is additionally operable to set the default label of commodity
Recommendation, arranged when merchandise news assembled classification module is combined matching according to the recommendation of default label.
A kind of 4. method of the accurate commending system of electric business platform commodity, it is characterised in that comprise the following steps：
A. by the commodity on electric business platform according to its merchandise news（The consumption demand being met by）Default label is set（Such as
R000001、R000002、R000003......）And store；
B. the merchandise news searched for when user scans for behavior to user is analyzed；
C. user is drawn a portrait according to the above-mentioned b analysis results drawn, other consumption of user is analyzed using this portrait
Demand, and then other consumption demands to user set search label（Such as S000001, S000002, S000003......）；
D. the search label of user is preset into label with the commodity stored to be matched, forms alternative storehouse（As S000001 is corresponding
R000001, S000002 correspond to R000002）；
E. the commodity in alternative storehouse are recommended into user by way of pop-up.
5. according to a kind of accurate commending system of electric business platform commodity described in claim 4, it is characterised in that in the step e,
The sequence of commodity is ranked up according to the default recommendation of label.
6. according to a kind of accurate commending system of electric business platform commodity described in claim 4, it is characterised in that user's search row
It is to include collecting, pay close attention to, buy or repeatedly browsing click.
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Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520058A (en) * | 2018-03-30 | 2018-09-11 | 维沃移动通信有限公司 | A kind of Business Information recommends method and mobile terminal |
| CN108563681A (en) * | 2018-03-07 | 2018-09-21 | 阿里巴巴集团控股有限公司 | A kind of content recommendation method, device, electronic equipment and system |
| CN109118319A (en) * | 2018-07-16 | 2019-01-01 | 安徽信尔联信息科技有限公司 | A kind of commodity auto arranging method |
| CN109191186A (en) * | 2018-08-16 | 2019-01-11 | 安徽超清科技股份有限公司 | A kind of intelligent recommendation system based on big data |
| CN109993618A (en) * | 2017-12-29 | 2019-07-09 | 北京京东尚科信息技术有限公司 | Object search method, system and computer system, computer readable storage medium |
| CN110287410A (en) * | 2019-06-05 | 2019-09-27 | 达疆网络科技(上海)有限公司 | The fusion method of a variety of proposed algorithms of user under a kind of O2O electric business scene |
| CN110517001A (en) * | 2019-08-29 | 2019-11-29 | 江苏德赢软件科技有限公司 | A kind of timeliness guest room commodity go the method, apparatus and system of inventory |
| WO2020019189A1 (en) * | 2018-07-25 | 2020-01-30 | 深圳齐心集团股份有限公司 | Big data-based web shopping guide system |
| CN110737833A (en) * | 2019-09-29 | 2020-01-31 | 海南省火蓝数据有限公司 | commodity pushing method based on recommendation degree |
| CN110781399A (en) * | 2019-10-31 | 2020-02-11 | 深圳市云积分科技有限公司 | Cross-platform information pushing method and device |
| CN110827046A (en) * | 2018-08-07 | 2020-02-21 | 北京京东尚科信息技术有限公司 | Scene recommendation method and device |
| CN111062788A (en) * | 2019-12-28 | 2020-04-24 | 广东奥园奥买家电子商务有限公司 | E-commerce platform commodity recommendation method, device and equipment based on search |
| CN111127153A (en) * | 2019-12-24 | 2020-05-08 | 武汉同创元盛科技有限公司 | One-stop type e-commerce service management platform |
| CN111144993A (en) * | 2019-12-28 | 2020-05-12 | 广东奥园奥买家电子商务有限公司 | Combined selling method, device and equipment for E-commerce commodities |
| CN111461783A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce commodity sequencing display method, device and equipment |
| CN111461781A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment |
| CN111460297A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce commodity searching method, device and equipment |
| CN112070562A (en) * | 2020-09-20 | 2020-12-11 | 广州智物互联科技有限公司 | Commodity identification method based on big data and electronic commerce and e-commerce platform |
| CN112906761A (en) * | 2021-01-30 | 2021-06-04 | 广西机电职业技术学院 | E-commerce product classification method and system |
| CN114218476A (en) * | 2021-11-12 | 2022-03-22 | 深圳前海鹏影数字软件运营有限公司 | Content recommendation method and device and terminal equipment |
| CN114429371A (en) * | 2022-04-06 | 2022-05-03 | 新石器慧通（北京）科技有限公司 | Unmanned vehicle-based commodity marketing method and device, electronic equipment and storage medium |
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| CN109993618A (en) * | 2017-12-29 | 2019-07-09 | 北京京东尚科信息技术有限公司 | Object search method, system and computer system, computer readable storage medium |
| CN108563681A (en) * | 2018-03-07 | 2018-09-21 | 阿里巴巴集团控股有限公司 | A kind of content recommendation method, device, electronic equipment and system |
| CN112818250B (en) * | 2018-03-07 | 2024-03-08 | 创新先进技术有限公司 | Content recommendation method, device, electronic equipment and system |
| CN112818250A (en) * | 2018-03-07 | 2021-05-18 | 创新先进技术有限公司 | Content recommendation method and device, electronic equipment and system |
| CN108520058A (en) * | 2018-03-30 | 2018-09-11 | 维沃移动通信有限公司 | A kind of Business Information recommends method and mobile terminal |
| CN109118319A (en) * | 2018-07-16 | 2019-01-01 | 安徽信尔联信息科技有限公司 | A kind of commodity auto arranging method |
| WO2020019189A1 (en) * | 2018-07-25 | 2020-01-30 | 深圳齐心集团股份有限公司 | Big data-based web shopping guide system |
| CN110827046A (en) * | 2018-08-07 | 2020-02-21 | 北京京东尚科信息技术有限公司 | Scene recommendation method and device |
| CN109191186A (en) * | 2018-08-16 | 2019-01-11 | 安徽超清科技股份有限公司 | A kind of intelligent recommendation system based on big data |
| CN110287410A (en) * | 2019-06-05 | 2019-09-27 | 达疆网络科技(上海)有限公司 | The fusion method of a variety of proposed algorithms of user under a kind of O2O electric business scene |
| CN110517001A (en) * | 2019-08-29 | 2019-11-29 | 江苏德赢软件科技有限公司 | A kind of timeliness guest room commodity go the method, apparatus and system of inventory |
| CN110737833B (en) * | 2019-09-29 | 2022-09-13 | 安徽火蓝数据有限公司 | Commodity pushing method based on recommendation degree |
| CN110737833A (en) * | 2019-09-29 | 2020-01-31 | 海南省火蓝数据有限公司 | commodity pushing method based on recommendation degree |
| CN110781399A (en) * | 2019-10-31 | 2020-02-11 | 深圳市云积分科技有限公司 | Cross-platform information pushing method and device |
| CN111127153A (en) * | 2019-12-24 | 2020-05-08 | 武汉同创元盛科技有限公司 | One-stop type e-commerce service management platform |
| CN111144993A (en) * | 2019-12-28 | 2020-05-12 | 广东奥园奥买家电子商务有限公司 | Combined selling method, device and equipment for E-commerce commodities |
| CN111062788A (en) * | 2019-12-28 | 2020-04-24 | 广东奥园奥买家电子商务有限公司 | E-commerce platform commodity recommendation method, device and equipment based on search |
| CN111461783A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce commodity sequencing display method, device and equipment |
| CN111461781A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment |
| CN111460297A (en) * | 2020-03-31 | 2020-07-28 | 广东奥园奥买家电子商务有限公司 | E-commerce commodity searching method, device and equipment |
| CN112070562A (en) * | 2020-09-20 | 2020-12-11 | 广州智物互联科技有限公司 | Commodity identification method based on big data and electronic commerce and e-commerce platform |
| CN112906761A (en) * | 2021-01-30 | 2021-06-04 | 广西机电职业技术学院 | E-commerce product classification method and system |
| CN114218476A (en) * | 2021-11-12 | 2022-03-22 | 深圳前海鹏影数字软件运营有限公司 | Content recommendation method and device and terminal equipment |
| CN114429371A (en) * | 2022-04-06 | 2022-05-03 | 新石器慧通（北京）科技有限公司 | Unmanned vehicle-based commodity marketing method and device, electronic equipment and storage medium |
| CN114429371B (en) * | 2022-04-06 | 2022-06-28 | 新石器慧通（北京）科技有限公司 | Unmanned vehicle-based commodity marketing method and device, electronic equipment and storage medium |
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Application publication date: 20171128 |