CN108734553A - Method of Commodity Recommendation and system - Google Patents
Method of Commodity Recommendation and system Download PDFInfo
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- CN108734553A CN108734553A CN201810461595.9A CN201810461595A CN108734553A CN 108734553 A CN108734553 A CN 108734553A CN 201810461595 A CN201810461595 A CN 201810461595A CN 108734553 A CN108734553 A CN 108734553A
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- user
- commodity
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- person
- evaluation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
Abstract
The present invention provides a kind of Method of Commodity Recommendation and systems, are related to e-commerce field.The Method of Commodity Recommendation and system of the present invention, including obtain all merchandise newss and total commodity amount that a user bought；Obtain all evaluations of user；Judge that user evaluates whether to evaluate in person for user to each commodity；Extract all quantity evaluated in person of user；The quantity evaluated in person is compared with commodity sum, comparison result is obtained, according to comparison result to user's Recommendations.Method for pushing using the present invention carries out push commodity according to the evaluation of user to user, is targetedly pushed with realizing, user is made to quickly find the commodity of needs.
Description
Technical field
The present invention relates to e-commerce fields, more particularly to a kind of Method of Commodity Recommendation and system.
Background technology
With the development of information technology and internet, people gradually from the epoch of absence of information enter into information overload when
Generation.In this epoch, either information consumer or information producer all encounters prodigious challenge.For information consumption
Person, it is a very difficult thing that oneself interested information is found from bulk information；For the producer of information, make certainly
Oneself production information show one's talent, receive users concern and a very difficult thing.Supplying system is exactly to solve
Certainly this contradictory important tool.Supplying system can contact user and information, on the one hand user be helped to find that oneself is valuable
Information, on the other hand allow information that can be presented in before its interested user plane, to realize information consumer and information
The two-win of the producer.
In the prior art, supplying system is mostly unalterable carries out group's push to user, can not hold each use
Family demand.
Invention content
It is an object of the present invention to provide a kind of Method of Commodity Recommendation and system, it is to solve push in the prior art
System cannot push article for the problem that the personal like of client, and user is made to lose the confidence.
On the one hand, the present invention provides a kind of Method of Commodity Recommendation, including：
Obtain all merchandise newss and total commodity amount that a user bought；
Obtain all evaluations of the user；
Judge that the user evaluates whether to evaluate in person for the user to each commodity；
Extract all quantity evaluated in person of the user；
The quantity evaluated in person is compared with the commodity sum, comparison result is obtained, according to the comparison
As a result to user's Recommendations.
Optionally, if the comparison result is more than predetermined threshold value, the user is judged for any active ues, to described active
User buys and the merchandise news evaluated is classified, and determines the purchase pattern of any active ues, obtains and the purchase
The associated type of merchandize of type is bought, the type of merchandize is pushed to the user.
Optionally, if the comparison result is less than predetermined threshold value, the user is judged for inactive users, to described non-
The merchandise news that any active ues are bought is classified, and determines the purchase pattern of any active ues, is obtained and the purchase class
The type of merchandize is pushed to the user by the associated type of merchandize of type.
Optionally, the evaluation, which is divided into, to the satisfaction of commodity evaluate and advise to commodity.
Optionally, classified according to all evaluation informations of user of the satisfaction pair, be divided into and commonly comment
Valence, medium evaluation and advanced evaluation, it is described to be commonly evaluated as the user and think that the commodity are general, it is described medium to be evaluated as institute
It states user and thinks that the commodity are satisfied, it is advanced to be evaluated as the user and think that the commodity are very satisfied.
Optionally, commodity are classified according to the suggestion, according to classification to user's Recommendations.
Optionally, commodity are classified according to the suggestion, according to the suggestion search commercial articles information, selection meets institute
The commercial product recommending of user's requirement is stated to the user.
Optionally, the commercial product recommending of recommendation is sent out invitation, client is made to evaluate it to after the user.
On the other hand, the present invention also provides a kind of commercial product recommending systems, including：
Acquiring unit obtains the institute of all merchandise newss, total commodity amount and the user that a user bought
There is evaluation；
Judging unit judges that the user evaluates whether to evaluate in person for the user to each commodity；
Comparing unit extracts all quantity evaluated in person of the user；By the quantity evaluated in person with it is described
Commodity sum is compared；
Recommendation unit gives user's Recommendations according to the result of the comparing unit.
The Method of Commodity Recommendation and system of the present invention, including obtain all merchandise newss for buying of a user and total
Commodity amount；Obtain all evaluations of user；Judge that user evaluates whether to evaluate in person for user to each commodity；Extraction is used
All quantity evaluated in person in family；The quantity evaluated in person is compared with commodity sum, obtains comparison result, according to than
To result to user's Recommendations.Method for pushing using the present invention carries out push commodity according to the evaluation of user to user, with
Realization targetedly pushes, and user is made to quickly find the commodity of needs.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Description of the drawings
Some specific embodiments that the invention will be described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical reference numeral denotes same or similar component or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.In attached drawing：
Fig. 1 is the schematic flow chart of Method of Commodity Recommendation according to an embodiment of the invention；
Fig. 2 is the schematic system diagram of commercial product recommending system according to an embodiment of the invention.
Specific implementation mode
Fig. 1 is the schematic flow chart of Method of Commodity Recommendation according to an embodiment of the invention.As shown in Figure 1, commodity
Recommendation method, including：
Obtain all merchandise newss and total commodity amount that a user bought；
Obtain all evaluations of user；
Judge that user evaluates whether to evaluate in person for user to each commodity；
Extract all quantity evaluated in person of user；
The quantity evaluated in person is compared with commodity sum, obtains comparison result, user is pushed away according to comparison result
Recommend commodity.
Method for pushing using the present invention carries out push commodity according to the evaluation of user to user, targeted to realize
Push, so that user is quickly found the commodity of needs.
In a further embodiment of the invention, if comparison result is more than predetermined threshold value, such as 60%, it can also be
Any number between 06-1.0 then judges user for any active ues, the merchandise news bought and evaluated to any active ues
Classify, determine the purchase pattern of any active ues, obtains type of merchandize associated with purchase pattern, type of merchandize is pushed
To user.
In a further embodiment of the invention, if comparison result is less than predetermined threshold value, judge that user is non-live
Jump user, and the merchandise news bought to inactive users is classified, and determines the purchase pattern of any active ues, obtains and buys
The associated type of merchandize of type, user is pushed to by type of merchandize.
In a further embodiment of the invention, evaluation, which is divided into, to the satisfaction of commodity evaluate and carry commodity
Go out suggestion.
In a further embodiment of the invention, divided according to all evaluation informations of user of satisfaction pair
Class is divided into common evaluation, medium evaluation and advanced evaluation, is commonly evaluated as user and thinks that commodity are general, medium to be evaluated as
User thinks that commodity are satisfied, advanced to be evaluated as user and think that commodity are very satisfied.
In a further embodiment of the invention, according to suggesting classifying commodity, pushed away to user according to classification
Recommend commodity.
In a further embodiment of the invention, according to suggesting classifying commodity, according to suggestion search commercial articles
Information chooses the commercial product recommending for meeting user's requirement to user.
In a further embodiment of the invention, by the commercial product recommending of recommendation to user after, send out invitation, make client
It is evaluated.
Fig. 2 is the schematic system diagram of commercial product recommending system according to an embodiment of the invention.As shown in Fig. 2, commodity
Commending system, including acquiring unit 1, judging unit 2, comparing unit 3 and recommendation unit 4.
Acquiring unit 1 obtains all merchandise newss, total commodity amount and all of user that a user bought and comments
Valence.Judging unit 2 is for judging that user evaluates whether to evaluate in person for user to each commodity.Comparing unit 3 is for extracting
All quantity evaluated in person of user；The quantity evaluated in person is compared with commodity sum.Recommendation unit 4 is used for basis
The result of comparing unit gives user's Recommendations.
The Method of Commodity Recommendation and system of the present invention, including obtain all merchandise newss for buying of a user and total
Commodity amount；Obtain all evaluations of user；Judge that user evaluates whether to evaluate in person for user to each commodity；Extraction is used
All quantity evaluated in person in family；The quantity evaluated in person is compared with commodity sum, obtains comparison result, according to than
To result to user's Recommendations.Method for pushing using the present invention carries out push commodity according to the evaluation of user to user, with
Realization targetedly pushes, and user is made to quickly find the commodity of needs.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or derive many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers other all these variations or modifications.
Claims (9)
1. a kind of Method of Commodity Recommendation, which is characterized in that including：Obtain all merchandise newss for buying of a user and total
Commodity amount；Obtain all evaluations of the user；Judge that the user evaluates whether as user parent each commodity
Self-evaluation；Extract all quantity evaluated in person of the user；By the quantity evaluated in person and the commodity sum into
Row compares, and comparison result is obtained, according to the comparison result to user's Recommendations.
2. Method of Commodity Recommendation according to claim 1, which is characterized in that if the comparison result is more than predetermined threshold value,
The user is then judged for any active ues, and the merchandise news that any active ues are bought and evaluated is classified, and is determined
The purchase pattern of any active ues obtains type of merchandize associated with the purchase pattern, the type of merchandize is pushed
To the user.
3. Method of Commodity Recommendation according to claim 1, which is characterized in that if the comparison result is less than predetermined threshold value,
The user is then judged for inactive users, and the merchandise news bought to the inactive users is classified, described in determination
The purchase pattern of any active ues obtains type of merchandize associated with the purchase pattern, the type of merchandize is pushed to institute
State user.
4. Method of Commodity Recommendation according to claim 1, which is characterized in that the evaluation be divided into the satisfactions of commodity into
Row is evaluated and advises to commodity.
5. Method of Commodity Recommendation according to claim 4, which is characterized in that according to the institute of user of the satisfaction pair
There is evaluation information to classify, is divided into common evaluation, medium evaluation and advanced evaluation, it is described to be commonly evaluated as the user
Think that the commodity are general, it is described it is medium be evaluated as the user and think that the commodity are satisfied, it is advanced to be evaluated as the use
Think that the commodity are very satisfied in family.
6. Method of Commodity Recommendation according to claim 4, which is characterized in that commodity are classified according to the suggestion,
According to classification to user's Recommendations.
7. Method of Commodity Recommendation according to claim 6, which is characterized in that commodity are classified according to the suggestion,
According to the suggestion search commercial articles information, the commercial product recommending for meeting user's requirement is chosen to the user.
8. Method of Commodity Recommendation according to claim 7, which is characterized in that give the commercial product recommending of recommendation to the user
Afterwards, invitation is sent out, client is made to evaluate it.
9. a kind of commercial product recommending system, which is characterized in that including：Acquiring unit obtains all commodity that a user bought
Information, total commodity amount and all evaluations of the user；Judging unit judges that the user is to the evaluation of each commodity
It is no to be evaluated in person for the user；Comparing unit extracts all quantity evaluated in person of the user；It is evaluated described in person
Quantity be compared with the commodity sum；Recommendation unit gives user's Recommendations according to the result of the comparing unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810461595.9A CN108734553B (en) | 2018-05-15 | 2018-05-15 | Commodity recommendation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810461595.9A CN108734553B (en) | 2018-05-15 | 2018-05-15 | Commodity recommendation method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108734553A true CN108734553A (en) | 2018-11-02 |
| CN108734553B CN108734553B (en) | 2019-12-27 |
Family
ID=63938325
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810461595.9A Expired - Fee Related CN108734553B (en) | 2018-05-15 | 2018-05-15 | Commodity recommendation method and system |
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| Country | Link |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109636530A (en) * | 2018-12-14 | 2019-04-16 | 拉扎斯网络科技（上海）有限公司 | Product determines method, apparatus, electronic equipment and computer readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206751A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Customer recommendation system based on data digging and method thereof |
| CN105894357A (en) * | 2016-03-30 | 2016-08-24 | 北京金山安全软件有限公司 | Commodity information pushing method and device |
| CN107016589A (en) * | 2016-08-10 | 2017-08-04 | 阿里巴巴集团控股有限公司 | The determination method and device of recommended products |
-
2018
- 2018-05-15 CN CN201810461595.9A patent/CN108734553B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206751A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Customer recommendation system based on data digging and method thereof |
| CN105894357A (en) * | 2016-03-30 | 2016-08-24 | 北京金山安全软件有限公司 | Commodity information pushing method and device |
| CN107016589A (en) * | 2016-08-10 | 2017-08-04 | 阿里巴巴集团控股有限公司 | The determination method and device of recommended products |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109636530A (en) * | 2018-12-14 | 2019-04-16 | 拉扎斯网络科技（上海）有限公司 | Product determines method, apparatus, electronic equipment and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108734553B (en) | 2019-12-27 |
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| TA01 | Transfer of patent application right |
Effective date of registration: 20191128 Address after: 418000 south side of yazuiyan expressway connecting line and east side of Wushui River (yazuiyan Logistics Industrial Park), Hecheng District, Huaihua City, Hunan Province Applicant after: Hunan Huairen Health Industry Development Co., Ltd Address before: 528000 Foshan City, Guangdong Province, Science and Technology Industrial Zone of Sanshui Center, Area B, Area 21, F2 Complex Building, Building C, Tower 2, 209 bis (Residence Declaration) Applicant before: Foshan City Clothing Design Co., Ltd. |
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Granted publication date: 20191227 Termination date: 20210515 |