CN110517103A - A kind of Method of Commodity Recommendation and system based on user's collection - Google Patents
A kind of Method of Commodity Recommendation and system based on user's collection Download PDFInfo
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- CN110517103A CN110517103A CN201910614834.4A CN201910614834A CN110517103A CN 110517103 A CN110517103 A CN 110517103A CN 201910614834 A CN201910614834 A CN 201910614834A CN 110517103 A CN110517103 A CN 110517103A
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- commodity
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- collecting commodities
- collection
- sale
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9562—Bookmark management
-
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
Abstract
The invention discloses it is a kind of based on user collection Method of Commodity Recommendation, including S1: by data pick-up from user data obtain user's nearest period in collecting commodities information；S2: collecting commodities in query steps S1 judge whether the current time collecting commodities are undercarriage commodity in the sale situation of each channel；If so, executing S3；If it is not, then directly pushing the information of the on sale/preheating commodity to user；S3: judging whether user had bought the collecting commodities within the scope of setting time, and the category of collecting commodities is combined to determine whether the collecting commodities need to recommend to user；S4: extract simultaneously according to the sku code of collecting commodities filter out with collecting commodities belong to same money it is on sale/preheating commodity, then select one be pushed to collect the page in show.And commercial product recommending system includes the server for executing the above method.The present invention by undercarriage that user collected, recommend again again by the online commodity sold, and improves sale conversion ratio.
Description
Technical field
The present invention relates to electric quotient data process field more particularly to a kind of Method of Commodity Recommendation collected based on user and it is
System.
Background technique
Currently, existing shopping online software can provide " collection " function, can be incited somebody to action before not determining whether purchase for user
Articles storage conveniently allows user that can understand commodity situation on sale in the collection page, can directly receive in the same list page
Required commodity are bought in the hiding page.
But user do shopping software in using collection function when can have following situations: commodity when user's collecting commodities
At that time be in special selling panic buying mode, due to when time without buy successfully be currently undercarriage state commodity collect the page on directly
It connects and just no longer illustrates, so that user can not be the case where seeing collecting commodities again from the collection page.If same in the short time
One commodity are online again, and the purchase possibility of user can be higher than the purchase possibility of general merchandise, but early period collected but
The commodity of undercarriage are no longer shown in the collection page, so that user can not know whether collecting commodities are in state on sale at present, and
The conversion ratio during massive promotional campaign is directly affected, causes sales volume that cannot improve.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide a kind of commodity based on user's collection
Recommended method can assist user to know the situation on sale of collecting commodities early period currently, the same money commercial product recommending of restocking again is given
User, to improve sale conversion ratio.
The second object of the present invention is to provide a kind of commercial product recommending system based on user's collection, be executed using server
Above-mentioned recommended method improves sale conversion ratio.
An object of the present invention adopts the following technical scheme that realization:
A kind of Method of Commodity Recommendation based on user's collection, comprising:
Step S1: by data pick-up from user data obtain user's nearest period in collecting commodities information；Its
Middle user's collecting commodities information includes the time of the category of collecting commodities, articles storage；
Step S2: the collecting commodities in query steps S1 judge the current time collection in the sale situation of each channel
Whether commodity are undercarriage commodity；If so, thening follow the steps S3；If it is not, then directly to user push the collecting commodities it is on sale/
Warm-up information；
Step S3: judging whether user had bought the collecting commodities within the scope of setting time, and combines collection quotient
The category of product determines whether the collecting commodities need to recommend to user；Wherein setting time range is from collection start time to working as
The preceding time；
Step S4: being judged as needing the sku code of collecting commodities recommended to the user in extraction step S3, according to collection quotient
The sku code of product filters out the on sale/preheating commodity for belonging to same money with collecting commodities, then selects one and push with money commodity
Online displaying is carried out again into the collection page.
Further, the nearest period referred within N number of moon of current time in the step S1, wherein N=1,2 or
3。
Further, rack-like state is " undercarriage " or special show to the commodity that are positioned as of undercarriage commodity up and down in the step S2
Upper and lower rack-like state is " undercarriage ".
Further, the category of collecting commodities includes daily household class and household electrical appliances 3C class, collecting commodities in the step S3
Whether need to recommend to include at least following several situations to user: if collecting commodities type is the commodity of daily household class, no matter
Whether user had bought the collecting commodities of the daily household class within the scope of setting time, which is judged as
It needs to continue to recommend to user；If collecting commodities type is the commodity of household electrical appliances 3C class, when judging user within the scope of setting time
The collecting commodities of household electrical appliances 3C class were not bought, which is judged as needing to continue to recommend to user；When judgement is used
The collecting commodities of household electrical appliances 3C class had been bought at family within the scope of setting time, the collecting commodities be judged as not needing to
Recommend at family.
Further, it also needs to judge whether the commodity belong to when user had bought collecting commodities in the step S3
In the commodity of repeatable purchase, if repeatable purchase, recommends to user；If not reproducible purchase, do not recommend to user.
Further, the determination method of commodity on sale is displaying time model that current time belongs to the working days in the step S4
In enclosing, rack-like state is " restocking " to commodity up and down, and the state of rack-like up and down of special show is " restocking "；And the determination method for preheating commodity is
Current time belonged in the preheating time of working days, and commodity " whether preheating " are identified as "Yes", and commodity up and down rack-like state be " on
The state of rack-like up and down of frame ", special show is similarly " restocking ".
Further, there are following situations for the same money commodity amount filtered out in the step S4: if only finding one together
Money is on sale/preheating commodity, then its commodity is pushed directly in the collection page and is shown；If it is on sale/pre- to find multiple same moneys
Hot commodity then select the commodity of highest priority to be pushed, wherein the priority of commodity on sale is greater than the preferential of preheating commodity
Grade；If find commodity on sale have it is multiple if preferential push terminate on-sale date commodity the latest；If multiple time phases on sale
It is same then select a commodity at random and pushed；Have multiple when finding preheating commodity, push begins to sell time earliest commodity
It is pushed.
Further, belong to together if can not be filtered out according to the sku code of collecting commodities in the step S4 with collecting commodities
On sale/preheating commodity of money then show the commodity details of undercarriage of the commodity in collection page relaying extension.
Further, in the step S4 push one with money commodity to collection the page in be shown before, to collection page
The merchandise news that face is shown is filtered, and retaining current time in the collection page, will still in the commodity of Warm status on sale/pre-
The commodity of undercarriage replace with same money it is on sale/preheating commodity, then by collect the page in commodity according to former commodity the collection time into
Row sequence is shown.
The second object of the present invention adopts the following technical scheme that realization:
A kind of commercial product recommending system based on user's collection, including server, the server execute it is above-mentioned based on
The Method of Commodity Recommendation of family collection.
Compared with prior art, the beneficial effects of the present invention are:
Undercarriage that user the collected online commodity sold again are found, it are recommended to again in user's collection,
The buying rate of user can be improved, to improve sale conversion ratio.
Detailed description of the invention
Fig. 1 is the flow diagram for the Method of Commodity Recommendation collected the present invention is based on user.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Embodiment one
A kind of Method of Commodity Recommendation based on user's collection, as shown in Figure 1, comprising:
Step S1: by data pick-up from user data obtain user's nearest period in collecting commodities information；Number
According to usable etl tool is extracted, (etl is the abbreviation of English Extract-Transform-Load, for describing data always
Source is by extraction extract, transposition transform, the process for loading load to destination) from the database of purchase platform
The Information on Collection of user is obtained, wherein user's collecting commodities information includes believing the category of collecting commodities, time of articles storage etc.
Breath.
The above-mentioned nearest period, which defaults, to be referred within N number of moon of current time, wherein N=1,2 or 3；And extract collection
The quantity of merchandise news is up to 300.
Step S2: the collecting commodities in query steps S1 judge the current time collection in the sale situation of each channel
Whether commodity are undercarriage commodity；If so, thening follow the steps S3；If it is not, then directly pushing the on sale/preheating commodity to user
Information；
Whether real time inspection collecting commodities current time is in state on sale, is searched comprehensively each channel, if looking for
The collecting commodities on sale to current time, then show on the collection page of user, selects purchase for user；If collecting quotient
Product without discovery in Warm status on sale/pre-, then determine that the collecting commodities for undercarriage commodity, then start to seek in each channel
The same money commodity of undercarriage commodity are looked for be recommended.
And the definition of undercarriage commodity is that rack-like state is " undercarriage " to commodity up and down or the state of rack-like up and down of special show is " undercarriage ".
Step S3: judging whether user had bought the collecting commodities within the scope of setting time, and combines collection quotient
The category of product determines whether the collecting commodities need to recommend to user；Wherein setting time range is from collection start time to working as
The preceding time；
It is judged as that the commodity of undercarriage also need whether to buy user carry out postsearch screening, due to similar household electrical appliances 3C class
The relatively daily household class of commodity commodity in price can be higher, therefore user buys after a household electrical appliances 3C class commodity short
The probability bought again in time can very little, therefore for undercarriage and the collecting commodities for the similar household electrical appliances 3C class bought are then
It will not be recommended in the collection page and be shown again；And it is similar to daily household class, such as clothing, daily necessities, makeups class
Even if having bought Deng user, a possibility that user buys again, is still higher, even if therefore user bought such receipts
Commodity are hidden, it can still be recommended, for user's second purchase；The either commodity of household electrical appliances 3C class or daily household class, if
Without purchaser record within the scope of setting time, belong to need the state to user's Recommendations.
When user had bought collecting commodities, also need to judge the commodity whether commodity belong to repeatable purchase, if
Commodity only limit the use of family purchase once, then the commodity are demarcated as the commodity of not reproducible purchase, if commodity have no purchase number
Limitation, then the commodity are demarcated as the commodity of repeatable purchase；If user had bought collecting commodities and the commodity belong to can
Repeat buying commodity are then recommended to user；If not reproducible purchase, do not recommend to user.
Step S4: being judged as needing the sku code of collecting commodities recommended to the user in extraction step S3, according to collection quotient
The sku code of product filters out the on sale/preheating commodity for belonging to same money with collecting commodities, then selects one and push with money commodity
Online displaying is carried out again into the collection page.
Every money commodity can all be marked with a sku code on shopping electric business platform, be convenient for electric business land identification commodity.It extracts
The same money commodity for the identical sku code of collecting commodities are screened from merchandise warehouse according to sku code after the sku code of collecting commodities, then
The commodity in Warm status on sale/pre- are picked out from same money commodity.The determination method of commodity on sale is that current time belongs to shelves
In the displaying time range of phase, rack-like state is " restocking " to commodity up and down, and the state of rack-like up and down of special show is " restocking "；And preheat quotient
The determination method of product is that current time belonged in the preheating time of working days, and commodity " whether preheating " are identified as "Yes", and on commodity
Undercarriage state is " restocking ", and the state of rack-like up and down of special show is similarly " restocking ".
If only find one with money it is on sale/preheating commodity, by its commodity be pushed directly to collection the page in be shown；
If find multiple same moneys it is on sale/preheating commodity, select the commodity of highest priority to be pushed, wherein commodity on sale is preferential
Grade is greater than the priority of preheating commodity, that is, when finding multiple commodity on sale, preheating commodity, commodity on sale can be selected to be pushed；
If find commodity on sale have it is multiple if preferential push terminate on-sale date commodity the latest；If multiple times on sale are identical
A commodity are selected at random to be pushed；Have multiple when finding preheating commodity, the push time earliest commodity that begin to sell carry out
Push.
Before push one is shown with money commodity into the collection page, the merchandise news of collection page presentation was carried out
Filter retains current time in the collection page and the commodity of undercarriage is replaced with same money and are existed still in the commodity of Warm status on sale/pre-
Commodity are sold/preheated, and undercarriage is found into label " again online " on the commodity of same money replacement, know that commodity replace feelings for user
Condition；Thereafter the commodity collected in the page are ranked up displaying according to the collection time of former commodity, user can be on the collection page
Know that each collecting commodities in the state of selling of current time, improve sale conversion ratio.If can not be according to the sku code of collecting commodities
Filter out with collecting commodities belong to same money it is on sale/preheating commodity, then represent in the merchandise warehouse of current time there is no with receipts
Hiding commodity belong to same money and are in the commodity of Warm status on sale/pre-, then show the undercarriage of the commodity in collection page relaying extension
Commodity details then return to commodity picture, product name, this electric business Platform Price, market price, have selected the information such as size.
The method of the present embodiment is finding undercarriage that user the collected online commodity sold again, it is pushed away again
It recommends in user's collection, the buying rate of user can be improved, to improve sale conversion ratio.
Embodiment two
A kind of commercial product recommending system based on user's collection, including server, the server execute the quotient of embodiment one
Product recommended method.On sale/preheating commodity that same money commodity are found according to the sku code of undercarriage commodity are executed by udp protocol
(udp protocol is User Datagram Protocol), the practical timed task log-on data of UDP calculates, is pushed to by the commodity found
In redis storage system, called for interface.And the time data memory time limit of redis is two days, and the update of storing data frequency
Rate be it is daily, the data of update can cover original data, realize and is all updated daily to the commodity on the collection page, improve
Accuracy rate.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of Method of Commodity Recommendation based on user's collection characterized by comprising
Step S1: by data pick-up from user data obtain user's nearest period in collecting commodities information；Wherein use
Family collecting commodities information includes the time of the category of collecting commodities, articles storage；
Step S2: the collecting commodities in query steps S1 judge the current time collecting commodities in the sale situation of each channel
It whether is undercarriage commodity；If so, thening follow the steps S3；If it is not, then directly pushing on sale/preheating of the collecting commodities to user
Information；
Step S3: judging whether user had bought the collecting commodities within the scope of setting time, and combines collecting commodities
Category determines whether the collecting commodities need to recommend to user；Wherein setting time range be from collection start time to it is current when
Between；
Step S4: it is judged as needing the sku code of collecting commodities recommended to the user in extraction step S3, according to collecting commodities
Sku code filters out the on sale/preheating commodity for belonging to same money with collecting commodities, then selects one and be pushed to receipts with money commodity
Online displaying is carried out again in the hiding page.
2. the Method of Commodity Recommendation according to claim 1 based on user's collection, which is characterized in that in the step S1 most
The nearly period refers within N number of moon of current time, wherein N=1,2 or 3.
3. the Method of Commodity Recommendation according to claim 1 based on user's collection, which is characterized in that in the step S2
Rack-like state is " undercarriage " to the commodity that are positioned as of undercarriage commodity up and down or the state of rack-like up and down of special show is " undercarriage ".
4. the Method of Commodity Recommendation according to claim 1 based on user's collection, which is characterized in that received in the step S3
The category of hiding commodity includes daily household class and household electrical appliances 3C class, and it is following several whether collecting commodities need to recommend to include at least to user
Kind situation: if collecting commodities type is the commodity of daily household class, no matter whether user has bought within the scope of setting time
The collecting commodities of the daily household class are crossed, which is judged as needing to continue to recommend to user；If collecting commodities class
Type is the commodity of household electrical appliances 3C class, when the collecting commodities for judging user within the scope of setting time and not buying household electrical appliances 3C class,
The collecting commodities are judged as needing to continue to recommend to user；The family had been bought within the scope of setting time when judging user
The collecting commodities of electric 3C class, the collecting commodities are judged as not needing to recommend to user.
5. it is according to claim 4 based on user collection Method of Commodity Recommendation, which is characterized in that in the step S3 when
When user had bought collecting commodities, also need to judge the commodity whether commodity belong to repeatable purchase, if repeatable purchase,
Then recommend to user；If not reproducible purchase, do not recommend to user.
6. it is according to claim 1 based on user collection Method of Commodity Recommendation, which is characterized in that in the step S4
The determination method for selling commodity is that current time belongs in the displaying time range of working days, and rack-like state is " restocking " to commodity up and down, and
The state of rack-like up and down of special show is " restocking "；And the determination method for preheating commodity is that current time belonged in the preheating time of working days,
Commodity " whether preheating " are identified as "Yes", and rack-like state is " restocking " to commodity up and down, the state of rack-like up and down of special show be similarly " on
Frame ".
7. the Method of Commodity Recommendation according to claim 1 based on user's collection, which is characterized in that sieved in the step S4
There are following situations for the same money commodity amount selected: if only find one with money it is on sale/preheating commodity, its commodity is directly pushed away
It is sent in the collection page and is shown；If find multiple same moneys it is on sale/preheating commodity, select the commodity of highest priority to carry out
Push, wherein the priority of commodity on sale is greater than the priority of preheating commodity；If find commodity on sale have it is multiple if preferential push
Terminate the commodity of on-sale date the latest；A commodity are selected at random if multiple times on sale are identical to be pushed；When looking for
Have to preheating commodity multiple, the push time earliest commodity that begin to sell are pushed.
8. the Method of Commodity Recommendation according to claim 1 based on user's collection, which is characterized in that if in the step S4
On sale/preheating the commodity for belonging to same money with collecting commodities can not be filtered out according to the sku code of collecting commodities, then in the collection page
Continue to show the commodity details of undercarriage of the commodity.
9. the Method of Commodity Recommendation according to claim 8 based on user's collection, which is characterized in that pushed away in the step S4
Before sending one to be shown with money commodity into the collection page, the merchandise news of collection page presentation is filtered, retains and receives
Hide the page in current time still in Warm status on sale/pre- commodity, by the commodity of undercarriage replace with same money it is on sale/preheating quotient
Product, then the commodity collected in the page are ranked up displaying according to the collection time of former commodity.
10. a kind of commercial product recommending system based on user's collection, which is characterized in that including server, the server right of execution
Benefit require 1~9 described in based on user collection Method of Commodity Recommendation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910614834.4A CN110517103B (en) | 2019-07-09 | 2019-07-09 | Commodity recommendation method and system based on user collection |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910614834.4A CN110517103B (en) | 2019-07-09 | 2019-07-09 | Commodity recommendation method and system based on user collection |
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| CN110517103A true CN110517103A (en) | 2019-11-29 |
| CN110517103B CN110517103B (en) | 2023-06-20 |
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ID=68622296
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Also Published As
| Publication number | Publication date |
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| CN110517103B (en) | 2023-06-20 |
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