CN110490707A - It is a kind of to search for purchase method for hunting for novelty for e-commerce - Google Patents
It is a kind of to search for purchase method for hunting for novelty for e-commerce Download PDFInfo
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- CN110490707A CN110490707A CN201910741997.9A CN201910741997A CN110490707A CN 110490707 A CN110490707 A CN 110490707A CN 201910741997 A CN201910741997 A CN 201910741997A CN 110490707 A CN110490707 A CN 110490707A
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0254—Targeted advertisements based on statistics
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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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
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- Entrepreneurship & Innovation (AREA)
- Probability & Statistics with Applications (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Purchase method is searched for for hunting for novelty for e-commerce the invention discloses a kind of, comprising: obtains the use information of user, the use information of the user includes using and being used for multiple times for the first time；The interest index database of user is established, the interest index database is used for the interest type of items of statistics and analysis user, and the interest type of items is that user's browsing time is more than the type of items of preset threshold or user's mark is interested type of items；Corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user.The present invention solves the problem of that the deficient traditional electronic commerce that also solves of the way of search of the unusual commodity of tradition cannot carry out unusual commercial product recommending according to user interest, and the application allows rapid screening out the commodity that user likes by user interest byte orderings.
Description
Technical field
The present invention relates to technical field of electronic commerce, in particular to a kind of to search for shopping side for hunting for novelty for e-commerce
Method.
Background technique
In e-commerce environment, commercial articles searching is the tool frequently used, and commodity seller is promoted by it to user
The commodity of oneself, user quickly find the commodity needed for oneself by it.With type of merchandize and the rapid growth of quantity, face
Countless and expression inaccuracy merchandise news, the search result that commercial articles searching tool sometimes provides is barely satisfactory, such as
It says that user inputs two keywords, may search out in the descriptive labelling come and really have the two keywords, but problem is
This commodity is not what user intentionally got.
Especially with user to the aestheticly tired of existing electronic goods, most users like search of hunting for novelty, but existing
E-commerce search cannot be screened according to user interest.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of search shopping of hunting for novelty for e-commerce
Method, the way of search for solving the unusual commodity of tradition is deficient, and also solution traditional electronic commerce cannot carry out odd according to user interest
The problem of different commercial product recommending, the application allow rapid screening out the commodity that user likes by user interest byte orderings.
The purpose of the present invention is achieved through the following technical solutions:
It is a kind of to search for purchase method for hunting for novelty for e-commerce, comprising:
The use information of user is obtained, the use information of the user includes using and being used for multiple times for the first time；
The interest index database of user is established, the interest index database is used for the interest type of items of statistics and analysis user, described
Interest type of items is that user's browsing time is more than the type of items of preset threshold or user's mark is interested type of items；
Corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user.
Further, the use information of user is obtained, the use information of the user includes using and being used for multiple times for the first time,
Also specifically include:
When user is for the first time in use, the most commodity of browsing time push in called data library；
When user be used for multiple times when, then the historical viewings duration of calling and obtaining user be more than preset threshold type of items, by from
It hunts for novelty and transfers corresponding type of items in database and pushed.
Further, the interest index database of user is established further include:
Obtain the commodity purchase type of user；
It obtains user and browses the type of items that duration is more than preset threshold；
The interest for obtaining user marks type of items；
The number of clicks for obtaining user is more than the type of items of preset threshold；
Obtain the type of items occurred in user's search key.
Further, user marks the interest of article further include:
It is more than default seniority among brothers and sisters number threshold values when the interest of article marks number, then article is included in interest ranking list；
It is more than default push times threshold values when the interest of article marks number, then article is included in without classification interest propelling data
Library.
Further, corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user,
Further include:
User evaluates the Item Information listed after search, and the evaluation includes interested and loses interest in, when user comments
Valence is when loseing interest in, then to transfer new type of items, is refreshed again to search displayed page.
Further, corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user,
Further include:
Search displayed page is ranked up, the sequence includes according to the sequence of popularity height, the sequence of sales volume height, credit height
Sequence and marker number interested height sort.
The beneficial effects of the present invention are:
The way of search that the present invention solves the unusual commodity of tradition is deficient, also solution traditional electronic commerce cannot according to user interest into
The problem of row unusual commercial product recommending, the application allows rapid screening out the commodity that user likes by user interest byte orderings.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
It should be noted that illustrating the basic structure that only the invention is illustrated in a schematic way provided in following embodiment
Think, only shown in schema then with related component in the present invention rather than component count, shape and size when according to actual implementation
Draw, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout kenel
It is likely more complexity.
Embodiment:
Purchase method is searched for for hunting for novelty for e-commerce the present embodiment provides a kind of, is please referred to shown in attached drawing 1, comprising:
S1, the use information for obtaining user, the use information of the user include using and being used for multiple times for the first time；
S2, the interest index database for establishing user, the interest index database are used for the interest type of items of statistics and analysis user, institute
Stating interest type of items is that user's browsing time is more than the type of items of preset threshold or user's mark is interested article class
Type；
S3, corresponding type of items is filtered out from database of hunting for novelty, the article filtered out is pushed to user.
Further, the use information of user is obtained, the use information of the user includes using and being used for multiple times for the first time,
Also specifically include:
When user is for the first time in use, the most commodity of browsing time push in called data library；
When user be used for multiple times when, then the historical viewings duration of calling and obtaining user be more than preset threshold type of items, by from
It hunts for novelty and transfers corresponding type of items in database and pushed.
Further, the interest index database of user is established further include:
Obtain the commodity purchase type of user；
It obtains user and browses the type of items that duration is more than preset threshold；
The interest for obtaining user marks type of items；
The number of clicks for obtaining user is more than the type of items of preset threshold；
Obtain the type of items occurred in user's search key.
Further, user marks the interest of article further include:
It is more than default seniority among brothers and sisters number threshold values when the interest of article marks number, then article is included in interest ranking list；
It is more than default push times threshold values when the interest of article marks number, then article is included in without classification interest propelling data
Library.
Further, corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user,
Further include:
User evaluates the Item Information listed after search, and the evaluation includes interested and loses interest in, when user comments
Valence is when loseing interest in, then to transfer new type of items, is refreshed again to search displayed page.
Further, corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user,
Further include:
Search displayed page is ranked up, the sequence includes according to the sequence of popularity height, the sequence of sales volume height, credit height
Sequence and marker number interested height sort.
The way of search that the present invention solves the unusual commodity of tradition is deficient, and also solution traditional electronic commerce cannot be emerging according to user
Interest carries out the problem of unusual commercial product recommending, and the application allows rapid screening out the quotient that user likes by user interest byte orderings
Product.
A specific embodiment of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.
Claims (6)
1. a kind of search for purchase method for hunting for novelty for e-commerce characterized by comprising
The use information of user is obtained, the use information of the user includes using and being used for multiple times for the first time；
The interest index database of user is established, the interest index database is used for the interest type of items of statistics and analysis user, described
Interest type of items is that user's browsing time is more than the type of items of preset threshold or user's mark is interested type of items；
Corresponding type of items is filtered out from database of hunting for novelty, and the article filtered out is pushed to user.
2. a kind of according to claim 1 search for purchase method for hunting for novelty for e-commerce, which is characterized in that obtain user
Use information, the use information of the user includes using and being used for multiple times for the first time, also specifically include:
When user is for the first time in use, the most commodity of browsing time push in called data library；
When user be used for multiple times when, then the historical viewings duration of calling and obtaining user be more than preset threshold type of items, by from
It hunts for novelty and transfers corresponding type of items in database and pushed.
3. a kind of according to claim 1 search for purchase method for hunting for novelty for e-commerce, which is characterized in that establish user
Interest index database further include:
Obtain the commodity purchase type of user；
It obtains user and browses the type of items that duration is more than preset threshold；
The interest for obtaining user marks type of items；
The number of clicks for obtaining user is more than the type of items of preset threshold；
Obtain the type of items occurred in user's search key.
4. a kind of according to claim 1 search for purchase method for hunting for novelty for e-commerce, which is characterized in that user is to object
The interest of product marks further include:
It is more than default seniority among brothers and sisters number threshold values when the interest of article marks number, then article is included in interest ranking list；
It is more than default push times threshold values when the interest of article marks number, then article is included in without classification interest propelling data
Library.
5. a kind of according to claim 1 search for purchase method for hunting for novelty for e-commerce, which is characterized in that from number of hunting for novelty
According to corresponding type of items is filtered out in library, the article filtered out is pushed to user, further includes:
User evaluates the Item Information listed after search, and the evaluation includes interested and loses interest in, when user comments
Valence is when loseing interest in, then to transfer new type of items, is refreshed again to search displayed page.
6. a kind of according to claim 1 search for purchase method for hunting for novelty for e-commerce, which is characterized in that from number of hunting for novelty
According to corresponding type of items is filtered out in library, the article filtered out is pushed to user, further includes:
Search displayed page is ranked up, the sequence includes according to the sequence of popularity height, the sequence of sales volume height, credit height
Sequence and marker number interested height sort.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910741997.9A CN110490707A (en) | 2019-08-13 | 2019-08-13 | It is a kind of to search for purchase method for hunting for novelty for e-commerce |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910741997.9A CN110490707A (en) | 2019-08-13 | 2019-08-13 | It is a kind of to search for purchase method for hunting for novelty for e-commerce |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110490707A true CN110490707A (en) | 2019-11-22 |
Family
ID=68550634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910741997.9A Pending CN110490707A (en) | 2019-08-13 | 2019-08-13 | It is a kind of to search for purchase method for hunting for novelty for e-commerce |
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| CN (1) | CN110490707A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113298594A (en) * | 2020-07-16 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Data pushing method and device, electronic equipment and storage medium |
Citations (5)
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|---|---|---|---|---|
| CN102479366A (en) * | 2010-11-25 | 2012-05-30 | 阿里巴巴集团控股有限公司 | Commodity recommending method and system |
| CN104008109A (en) * | 2013-02-26 | 2014-08-27 | 南京邮电大学 | User interest based Web information push service system |
| CN106202517A (en) * | 2016-07-24 | 2016-12-07 | 广东聚联电子商务股份有限公司 | A kind of online commodity based on big data sort method on webpage |
| US20170098001A1 (en) * | 2015-10-05 | 2017-04-06 | Fujitsu Limited | Method of outputting recommended item and recommended item output device |
| CN109636545A (en) * | 2018-12-26 | 2019-04-16 | 广州市耀锋电子网络科技有限公司 | A kind of electric business platform commercial product recommending algorithm |
-
2019
- 2019-08-13 CN CN201910741997.9A patent/CN110490707A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102479366A (en) * | 2010-11-25 | 2012-05-30 | 阿里巴巴集团控股有限公司 | Commodity recommending method and system |
| CN104008109A (en) * | 2013-02-26 | 2014-08-27 | 南京邮电大学 | User interest based Web information push service system |
| US20170098001A1 (en) * | 2015-10-05 | 2017-04-06 | Fujitsu Limited | Method of outputting recommended item and recommended item output device |
| CN106202517A (en) * | 2016-07-24 | 2016-12-07 | 广东聚联电子商务股份有限公司 | A kind of online commodity based on big data sort method on webpage |
| CN109636545A (en) * | 2018-12-26 | 2019-04-16 | 广州市耀锋电子网络科技有限公司 | A kind of electric business platform commercial product recommending algorithm |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113298594A (en) * | 2020-07-16 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Data pushing method and device, electronic equipment and storage medium |
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Application publication date: 20191122 |