CN111914187A - Method for recommending commodities and tracking recommending relation chain - Google Patents

Method for recommending commodities and tracking recommending relation chain Download PDF

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CN111914187A
CN111914187A CN202010718685.9A CN202010718685A CN111914187A CN 111914187 A CN111914187 A CN 111914187A CN 202010718685 A CN202010718685 A CN 202010718685A CN 111914187 A CN111914187 A CN 111914187A
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向杰
陈旭东
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Abstract

The invention relates to the field of electronic commerce, in particular to a method for recommending commodities and tracking recommended relation chains. The method ensures that only one upstream recommendation relation chain for recommending the specific commodity to the specific user exists, disputes among multiple recommendation chains of the same commodity for the same user are solved, the recommendation record cannot be changed once being created, and a solution based on the method for high-performance caching and high-concurrency processing is greatly simplified.

Description

Method for recommending commodities and tracking recommending relation chain
Technical Field
The invention relates to the field of electronic commerce, in particular to a method for recommending commodities and tracking a recommendation relation chain.
Background
The recommendation granularity of some membership e-commerce systems which track a user multistage recommendation relation chain in the market at present is specific to the whole system rather than different commodities in the system, the recommendation relation is determined when the user registers rather than when the user first contacts the commodities, and the upstream recommenders of the user purchase any commodity in the system have corresponding profit sharing, so that the fairness of profit sharing is not reflected. And in other e-commerce systems for recording recommenders for commodity recommendation links, multi-level recommendation relationship chains are not tracked, the recommendation relationship is determined when the user purchases the commodity instead of being determined when the user first contacts the commodity, and when the user purchases the commodity through the recommendation links, corresponding recommenders can obtain certain profit sharing. The mode has the defects that a multi-level recommendation relationship chain cannot be tracked, a user can only recommend within a one-level relationship circle, the profit probability and recommendation enthusiasm of the user are low, and if the user knows a commodity through the recommendation link first but does not purchase the commodity through the recommendation link (the commodity is purchased through the recommendation link or self-navigation browsing of other people), a recommender who really introduces the commodity to the purchasing user for the first time cannot obtain profit.
Disclosure of Invention
The invention aims to: aiming at the existing problems, the commodity recommendation and recommendation relation chain tracking method overcomes the defect of fairness in benefit distribution of the multi-level member recommendation system and improves the profit probability and recommendation enthusiasm of a user of the single-level commodity recommendation system.
A method for commodity recommendation and tracking of a chain of recommendation relationships, comprising:
creating a recommendation record to be inserted into a recommendation table when a user enters a commodity detail interface for the first time; the recommendation table is used for storing all recommendation records and tracking recommendation relation chains, the recommendation records comprise recommendation IDs, recommender user IDs, recommended commodity IDs, upstream recommendation relation chains and record creation time, the recommendation IDs are main keys of the recommendation table, the recommender user IDs and the recommended commodity IDs are combined to form unique keys of the recommendation table, and the upstream recommendation relation chains are sequence sequences of all upstream recommender user IDs recommending the commodity to the user;
the recommendation ID of the recommendation record is generated by the system, the user ID of the recommender is the current user ID, the recommended commodity ID is the current commodity ID, the record creation time is the current time, and the upstream recommendation relation chain is generated according to the mode that the user enters the commodity detail interface: if the user is in a recommendation link mode, inquiring a recommendation table according to a recommendation ID parameter in a recommendation link to obtain a corresponding record, and adding the user ID of the recorded recommender at the tail part of the upstream recommendation relation chain of the record as the upstream recommendation relation chain of the recommendation record; if the user is in a non-recommended link mode, the upstream recommended link of the recommended record is empty;
only allowing a user to recommend commodities entering a detail interface, namely allowing the user to recommend recommended commodities in all recommendation records created by the user as a recommender, sharing recommendation by the user through a social platform sharing recommendation link, wherein the recommendation link is a system recommendation processing program entry and comprises a recommendation ID parameter for identifying a specific recommendation record, and the recommendation ID parameter is a recommendation ID of a corresponding record obtained by inquiring a recommendation table according to a recommended user ID and a recommended commodity ID;
when the user clicks the recommendation link, the system queries the recommendation table according to the recommendation ID parameter in the recommendation link to obtain a corresponding recommendation record, then guides the user to enter a commodity detail interface according to the recommended commodity ID of the recommendation record and transmits the recommendation ID parameter to a system subsequent processing program, and the user can also enter the commodity detail interface in a non-recommendation link mode.
Further, the judgment basis for the user to enter the commodity detail interface for the first time is as follows: and whether the recommendation table has a recommendation record with the current user ID as the user ID of the recommender and the current commodity ID as the recommended commodity ID is judged, if so, the recommendation is not the first time, and if not, the recommendation is the first time.
Further, when the user enters the commodity detail interface, if the user does not log in, the user is required to log in so as to obtain the user ID.
Further, the recommendation record is created when the user first enters the item detail interface and is not altered once created.
Further, the recommendation record is created when the user enters the commodity detail interface for the first time, and the mode of the user entering the commodity detail interface is divided into a recommendation link mode and a non-recommendation link mode.
Further, the recommendation record is created when the user enters the commodity detail interface for the first time, and the upstream recommendation relation chain of the recommendation record is set differently according to different modes of the user entering the commodity detail interface.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the recommendation record is created and the upstream recommendation relation chain is determined based on the condition that the user firstly contacts the commodity, only one upstream recommendation relation chain for recommending the specific commodity to the specific user is ensured, disputes among a plurality of recommendation relation chains of the same commodity of the same user are solved, the recommendation relation chain is stored and tracked by using one recommendation table, and the recommendation record cannot be changed once being created, so that a solution based on the high-performance cache and high-concurrency processing is greatly simplified. In the invention, the user can only recommend the contacted commodities, thereby avoiding recommendation blindness and data flooding. The invention adopts the recommendation ID as the parameter of the recommendation link, hides the user ID of the recommender and the ID of the recommended commodity, and avoids the cheating behavior of creating or modifying the recommendation relation chain by tampering the link parameter. The invention completes the tracking and recording of the recommended relation chain in the system background, thereby avoiding various malicious attacks aiming at the client.
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FIG. 1 is a schematic diagram of the present invention;
Detailed Description
All features disclosed in this specification may be combined in any combination, except features and/or steps that are mutually exclusive.
The invention uses a recommendation table to store and track a recommendation relationship chain, and the table fields comprise: the system comprises a recommendation ID, a recommender user ID, a recommended commodity ID, an upstream recommendation relation chain (a sequence of all upstream recommender user IDs recommending the commodity to the recommender), and record creation time, wherein the recommendation ID is a main key, and the recommender user ID and the recommended commodity ID are combined to form a unique key.
The user completes sharing recommendation through sharing recommendation links on social platforms such as WeChat and qq, the recommendation links are entries of a system recommendation processing program and comprise a recommendation ID parameter used for identifying specific recommendation records.
When the user clicks the recommendation link, the system queries the recommendation table according to the recommendation ID parameter in the recommendation link to obtain a corresponding record (if the recommendation ID parameter is not found, the recommendation is prompted to be invalid and ended), and then guides the user to enter a commodity detail interface according to the recommended commodity ID of the record and transmits the recommendation ID parameter to a subsequent processing program. The user can also enter the commodity detail interface through other non-recommended link modes such as self-navigation browsing and the like.
Creating a recommendation record to be inserted into a recommendation table when a user enters a commodity detail interface for the first time, wherein a recommendation ID is generated by a system, a recommender user ID is a current user ID, a recommended commodity ID is a current commodity ID, record creation time is current time, and an upstream recommendation relation chain setting rule is as follows:
if the user passes the recommendation link mode, inquiring a recommendation table according to the recommendation ID parameter to obtain a corresponding record, and adding the recorded recommender user ID to the tail of the recorded upstream recommendation relation chain as a newly recorded upstream recommendation relation chain;
and if the user passes the non-recommended link mode, the newly recorded upstream recommended link is empty.
The user can only recommend the goods that he has entered the details interface, namely: and inquiring a recommendation table according to the ID of the recommended user and the ID of the recommended commodity to obtain a corresponding record during recommendation by using the recommended commodity in all recommendation records created by the user as a recommender, filling the recommendation ID of the record into a recommendation link as a parameter, and finally sharing the recommendation link to social platforms such as WeChat, qq and the like.
The recommendation between the user and the commodity is a many-to-many relationship, and the combination of the user ID of the recommender and the ID of the recommended commodity uniquely determines a recommendation and an upstream recommendation relationship chain thereof.
And when the user enters the commodity detail interface, if the user does not log in, the user is required to log in so as to obtain the user ID.
The recommendation record is created when the user enters the commodity detail interface for the first time, and the judgment basis for the user to enter the commodity detail interface for the first time is as follows: and whether the recommendation table has a recommendation record with the current user ID as the user ID of the recommender and the current commodity ID as the recommended commodity ID is judged, if so, the recommendation is not the first time, and if not, the recommendation is the first time.
The user enters the commodity detail interface and is divided into a recommendation link mode and a non-recommendation link mode.
The recommendation records are created when the user enters the commodity detail interface for the first time, and the upstream recommendation relation chain of the recommendation records is set differently according to different modes of the user entering the commodity detail interface.
The recommendation record is created when the user first enters the item detail interface and is not altered once created.

Claims (4)

1. A method for commodity recommendation and tracking of a chain of recommendation relations is characterized by comprising the following steps:
creating a recommendation record to be inserted into a recommendation table when a user enters a commodity detail interface for the first time; the recommendation table is used for storing all recommendation records and tracking recommendation relation chains, the recommendation records comprise recommendation IDs (IDs), recommender user IDs, recommended commodity IDs, upstream recommendation relation chains and record creation time, the recommendation IDs are main keys of the recommendation table, the recommender user IDs and the recommended commodity IDs are combined to form unique keys of the recommendation table, and the upstream recommendation relation chains are sequence sequences of all upstream recommender user IDs recommending the commodity to the user;
the recommendation ID of the recommendation record is generated by the system, the user ID of the recommender is the current user ID, the recommended commodity ID is the current commodity ID, the record creation time is the current time, and the upstream recommendation relation chain is generated according to the mode that the user enters the commodity detail interface: if the user is in a recommendation link mode, inquiring a recommendation table according to a recommendation ID parameter in a recommendation link to obtain a corresponding record, and adding the user ID of the recorded recommender at the tail part of the upstream recommendation relation chain of the record as the upstream recommendation relation chain of the recommendation record; if the user is in a non-recommended link mode, the upstream recommended link of the recommended record is empty;
only allowing a user to recommend commodities entering a detail interface, namely allowing the user to recommend recommended commodities in all recommendation records created by the user as a recommender, sharing recommendation by the user through a social platform sharing recommendation link, wherein the recommendation link is a system recommendation processing program entry and comprises a recommendation ID parameter for identifying a specific recommendation record, and the recommendation ID parameter is a recommendation ID of a corresponding record obtained by inquiring a recommendation table according to a recommended user ID and a recommended commodity ID;
when the user clicks the recommendation link, the system queries the recommendation table according to the recommendation ID parameter in the recommendation link to obtain a corresponding recommendation record, then guides the user to enter a commodity detail interface according to the recommended commodity ID of the recommendation record and transmits the recommendation ID parameter to a system subsequent processing program, and the user can also enter the commodity detail interface in a non-recommendation link mode.
2. The method of claim 1, wherein the basis for the user to first enter the item detail interface is: and whether the recommendation table has a recommendation record with the current user ID as the user ID of the recommender and the current commodity ID as the recommended commodity ID is judged, if so, the recommendation is not the first time, and if not, the recommendation is the first time.
3. The method of claim 1, wherein the user is required to log in if the user does not log in when entering the item detail interface, so as to obtain the user ID.
4. The method of claim 1, wherein the recommendation record is created when a user first enters the item detail interface and is not altered once created.
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