CN111914187A - Method for recommending commodities and tracking recommending relation chain - Google Patents
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Abstract
本发明涉及一种电子商务领域，具体涉及一种商品推荐及推荐关系链跟踪的方法，本方法在用户首次进入商品详情界面时创建一条推荐记录插入推荐表，推荐表用于保存所有推荐记录及跟踪推荐关系链，推荐记录中的上游推荐关系链根据用户进入商品详情界面的方式生成，本方法只允许用户推荐其进入过详情界面的商品，用户通过社交平台分享推荐链接完成分享推荐，推荐链接为系统推荐处理程序入口，包含一个推荐ID参数用于标识具体推荐记录。该方法保证了将特定商品推荐给特定用户的上游推荐关系链只有一条，解决了针对同一用户同一商品的多条推荐链之间的争议，推荐记录一旦创建就不会更改，极大地简化了基于其上的高性能缓存及高并发处理的解决方案。
The invention relates to the field of e-commerce, in particular to a method for product recommendation and recommendation relationship chain tracking. The method creates a recommendation record and inserts it into a recommendation table when a user enters a product details interface for the first time, and the recommendation table is used to save all recommendation records and Track the recommendation relationship chain. The upstream recommendation relationship chain in the recommendation record is generated according to the way the user enters the product details interface. This method only allows the user to recommend products that have entered the details interface. The user shares the recommendation link through the social platform to complete the sharing recommendation, the recommendation link It is the entry of the system recommendation handler, including a recommendation ID parameter to identify the specific recommendation record. This method ensures that there is only one upstream recommendation chain for recommending a specific product to a specific user, and resolves disputes between multiple recommendation chains for the same product for the same user. Once the recommendation record is created, it will not be changed, which greatly simplifies the High-performance caching and high-concurrency processing solutions on it.
Description
技术领域technical field
本发明涉及一种电子商务领域，具体涉及一种商品推荐及推荐关系链跟踪的方法。The present invention relates to the field of electronic commerce, in particular to a method for recommending products and tracking a recommended relationship chain.
背景技术Background technique
目前市面上存在的一些追踪用户多级推荐关系链的会员电商系统的推荐粒度是针对整个系统而不是针对系统内的不同商品，其推荐关系在用户注册时确定而不是在用户首次接触商品时确定，用户在系统内购买任何商品时其上游推荐人都有相应的利润分成，其利润分配的公平性缺乏体现。而另外一些针对商品推荐链接记录推荐人的电商系统并不追踪多级推荐关系链，其推荐关系在购买时确定而不是在用户首次接触商品时确定，用户通过推荐链接购买商品时，相应的推荐人可以获得一定的利润分成。此模式缺陷在于，无法追踪多级推荐关系链，用户只能在一级关系圈内进行推荐，用户获利的可能性和推荐的积极性较低，而且若用户先通过推荐链接了解了商品但并未通过该推荐链接购买商品(通过其他人的推荐链接或自行导航浏览购买了该商品)，则真正将该商品首次介绍给购买用户的推荐人将无法获得利润分成。At present, the recommendation granularity of some member e-commerce systems that track the user's multi-level recommendation relationship chain is for the entire system rather than for different products in the system, and the recommendation relationship is determined when the user registers rather than when the user first contacts the product It is determined that when a user purchases any product in the system, the upstream referrer has a corresponding profit share, and the fairness of the profit distribution is not reflected. Other e-commerce systems that record recommenders for product recommendation links do not track the multi-level recommendation relationship chain. The recommendation relationship is determined at the time of purchase rather than when the user first contacts the product. When the user purchases the product through the recommended link, the corresponding Referrers can get a certain profit share. The disadvantage of this model is that it is impossible to track the multi-level recommendation relationship chain, and users can only make recommendations within the first-level relationship circle. The possibility of profiting and the enthusiasm of the recommendation is low, and if the user first learns about the product through the recommendation link but does not If the product is not purchased through the referral link (the product is purchased through the referral link of other people or through self-navigation), the referrer who really introduces the product to the purchasing user for the first time will not be able to obtain profit sharing.
发明内容SUMMARY OF THE INVENTION
本发明的目的在于：针对现有问题，提供一种弥补多级会员推荐系统利益分配公平性缺陷，提高单级商品推荐系统用户获利可能性和推荐积极性的商品推荐及推荐关系链跟踪的方法。The purpose of the present invention is to: in view of the existing problems, to provide a method for product recommendation and recommendation relationship chain tracking that makes up for the fairness of the benefit distribution of the multi-level member recommendation system and improves the profitability and recommendation enthusiasm of users in the single-level product recommendation system. .
一种商品推荐及推荐关系链跟踪的方法，包括：A method for product recommendation and recommendation relationship chain tracking, comprising:
用户首次进入商品详情界面时创建一条推荐记录插入推荐表；所述推荐表用于保存所有推荐记录及跟踪推荐关系链，所述推荐记录包括推荐ID、推荐人用户ID、推荐商品ID、上游推荐关系链及记录创建时间，其中推荐ID为所述推荐表的主键，推荐人用户ID与推荐商品ID组合构成所述推荐表的唯一键，上游推荐关系链为将本商品推荐给本用户的所有上游推荐人用户ID的顺序序列；When the user enters the product details interface for the first time, a recommendation record is created and inserted into the recommendation table; the recommendation table is used to save all recommendation records and track the recommendation relationship chain, and the recommendation records include recommendation ID, recommender user ID, recommended product ID, and upstream recommendation. Relationship chain and record creation time, in which the recommendation ID is the primary key of the recommendation table, the combination of the recommender user ID and the recommended product ID constitutes the unique key of the recommendation table, and the upstream recommendation relationship chain is all recommending this product to this user. Sequential sequence of upstream recommender user IDs;
所述推荐记录的推荐ID由系统生成，推荐人用户ID为当前用户ID，推荐商品ID为当前商品ID，记录创建时间为当前时间，上游推荐关系链根据用户进入商品详情界面的方式生成：若用户为推荐链接方式，则根据推荐链接中的推荐ID参数查询推荐表获得相应记录，将该记录的上游推荐关系链尾部追加该记录的推荐人用户ID作为所述推荐记录的上游推荐关系链；若用户为非推荐链接方式，则所述推荐记录的上游推荐关系链为空；The recommendation ID of the recommendation record is generated by the system, the recommender user ID is the current user ID, the recommended product ID is the current product ID, the record creation time is the current time, and the upstream recommendation relationship chain is generated according to the way the user enters the product details interface: if If the user is in the recommended link mode, query the recommendation table according to the recommendation ID parameter in the recommendation link to obtain the corresponding record, and append the recommender user ID of the record to the end of the upstream recommendation relationship chain of the record as the upstream recommendation relationship chain of the recommendation record; If the user is in the non-recommended link mode, the upstream recommendation relationship chain of the recommendation record is empty;
只允许用户推荐其进入过详情界面的商品，即用户只能推荐以该用户为推荐人创建过的所有推荐记录里的推荐商品，用户通过社交平台分享推荐链接完成分享推荐，所述推荐链接为系统推荐处理程序入口，包含一个推荐ID参数用于标识具体推荐记录，所述推荐ID参数为根据推荐用户ID与推荐商品ID查询推荐表获得的相应记录的推荐ID；Only allow users to recommend products that they have entered the details interface, that is, users can only recommend recommended products in all the recommended records created by the user as the recommender, and the user can complete the sharing recommendation by sharing the recommendation link on the social platform. The recommended link is The entry of the system recommendation processing program includes a recommendation ID parameter for identifying a specific recommendation record, and the recommendation ID parameter is the recommendation ID of the corresponding record obtained by querying the recommendation table according to the recommended user ID and the recommended product ID;
用户点击推荐链接时，系统根据推荐链接中的推荐ID参数查询推荐表获得相应推荐记录，再根据该推荐记录的推荐商品ID引导用户进入商品详情界面并将推荐ID参数传递给系统后续处理程序,用户也可以通过非推荐链接方式进入商品详情界面。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 the corresponding recommendation record, and then guides the user to enter the product details interface according to the recommended product ID of the recommendation record and passes the recommendation ID parameter to the system subsequent processing program. Users can also enter the product details interface through non-recommended links.
进一步的，所述用户首次进入商品详情界面的判断依据是：推荐表是否存在以当前用户ID为推荐人用户ID，当前商品ID为推荐商品ID的推荐记录，存在则不是首次，不存在则是首次。Further, the judgment basis for the user to enter the product details interface for the first time is: whether there is a recommendation record with the current user ID as the recommender user ID and the current product ID as the recommended product ID, if it exists, it is not the first time, and if it does not exist, it is first.
进一步的，用户进入商品详情界面时若未登录则要求用户登录，以便获得用户ID。Further, if the user does not log in when entering the product details interface, the user is required to log in in order to obtain the user ID.
进一步的，推荐记录在用户首次进入商品详情界面时创建，一旦创建就不会更改。Further, the recommendation record is created when the user enters the product details interface for the first time, and will not be changed once created.
进一步的，推荐记录在用户首次进入商品详情界面时创建，所述用户进入商品详情界面的方式分为推荐链接方式和非推荐链接方式两种类型。Further, the recommendation record is created when the user enters the product details interface for the first time, and the user enters the product details interface in two types: a recommended link method and a non-recommended link method.
进一步的，推荐记录在用户首次进入商品详情界面时创建，推荐记录的上游推荐关系链根据用户进入商品详情界面的方式不同进行不同的设置。Further, the recommendation record is created when the user enters the product details interface for the first time, and the upstream recommendation relationship chain of the recommendation record is set differently according to the way the user enters the product details interface.
综上所述，由于采用了上述技术方案，本发明的有益效果是：To sum up, due to the adoption of the above-mentioned technical solutions, the beneficial effects of the present invention are:
本发明以用户首次接触商品为标准创建推荐记录并确定上游推荐关系链，保证了将特定商品推荐给特定用户的上游推荐关系链只有一条，解决了针对同一用户同一商品的多条推荐关系链之间的争议，只使用一张推荐表保存与追踪推荐关系链，且推荐记录一旦创建就不会更改，极大地简化了基于其上的高性能缓存及高并发处理的解决方案。该发明中用户只能推荐其接触过的商品，避免了推荐的盲目与数据的泛滥。发明采用推荐ID作为推荐链接的参数，隐藏了推荐人用户ID及推荐商品ID，避免了通过篡改链接参数创建或修改推荐关系链的舞弊行为。本发明对推荐关系链的跟踪与记录均在系统后台完成，避免了各种针对客户端的恶意攻击。The invention creates a recommendation record and determines the upstream recommendation relationship chain based on the first contact of the user with the product, which ensures that there is only one upstream recommendation relationship chain for recommending a specific product to a specific user, and solves the problem of multiple recommendation relationship chains for the same user and the same product. Only one recommendation table is used to save and track the recommendation relationship chain, and the recommendation record will not be changed once it is created, which greatly simplifies the solution based on high-performance caching and high-concurrency processing. In this invention, users can only recommend products that they have come into contact with, which avoids blind recommendations 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 product, and avoids the fraudulent behavior of creating or modifying the recommendation relationship chain by tampering with the link parameters. The tracking and recording of the recommended relationship chain in the present invention are all completed in the background of the system, and various malicious attacks against the client are avoided.
附图说明Description of drawings
图1是本发明原理图；Fig. 1 is the principle diagram of the present invention;
具体实施方式Detailed ways
本说明书中公开的所有特征，除了互相排斥的特征和/或步骤以外，均可以以任何方式组合。All features disclosed in this specification, except mutually exclusive features and/or steps, may be combined in any way.
本发明使用一张推荐表保存与跟踪推荐关系链，表字段包括：推荐ID、推荐人用户ID、推荐商品ID、上游推荐关系链(将本商品推荐给本推荐人的所有上游推荐人用户ID的顺序序列)及记录创建时间，其中推荐ID为主键，推荐人用户ID与推荐商品ID组合构成唯一键。The present invention uses a recommendation table to save and track the recommendation relationship chain, and the table fields include: recommendation ID, recommender user ID, recommended product ID, and upstream recommendation relationship chain (all upstream recommender user IDs that recommend this product to this recommender). The sequence sequence) and the record creation time, where the recommendation ID is the primary key, and the combination of the recommender user ID and the recommended product ID constitutes a unique key.
用户通过在微信、qq等社交平台分享推荐链接完成分享推荐，推荐链接是系统推荐处理程序的入口，包含一个推荐ID参数用于标识具体推荐记录。The user completes the sharing recommendation by sharing the recommendation link on social platforms such as WeChat and QQ. The recommendation link is the entrance of the system recommendation processing program, and includes a recommendation ID parameter to identify the specific recommendation record.
用户点击推荐链接时，系统根据推荐链接中的推荐ID参数查询推荐表获得相应记录(未找到则提示推荐无效并结束)，再根据该记录的推荐商品ID引导用户进入商品详情界面并将推荐ID参数传递给后续处理程序。用户也可以通过自主导航浏览等其它非推荐链接方式进入商品详情界面。When the user clicks the recommended link, the system queries the recommendation table according to the recommendation ID parameter in the recommendation link to obtain the corresponding record (if not found, it will prompt the recommendation to be invalid and end), and then guide the user to enter the product details interface according to the recommended product ID of the record and recommend the ID. Arguments are passed to subsequent handlers. Users can also enter the product details interface through other non-recommended links such as self-navigation and browsing.
在用户首次进入商品详情界面时创建一条推荐记录插入推荐表，其中推荐ID由系统生成，推荐人用户ID为当前用户ID，推荐商品ID为当前商品ID，记录创建时间为当前时间，上游推荐关系链设置规则如下：When the user enters the product details interface for the first time, a recommendation record is created and inserted into the recommendation table, where the recommendation ID is generated by the system, the recommender user ID is the current user ID, the recommended product ID is the current product ID, the record creation time is the current time, and the upstream recommendation relationship The chain setup rules are as follows:
若用户通过推荐链接方式，则根据推荐ID参数查询推荐表获得相应记录，将该记录的上游推荐关系链尾部追加该记录的推荐人用户ID作为新记录的上游推荐关系链；If the user uses the recommendation link method, query the recommendation table according to the recommendation ID parameter to obtain the corresponding record, and append the recommender user ID of the record to the end of the upstream recommendation relationship chain of the record as the upstream recommendation relationship chain of the new record;
若用户通过非推荐链接方式，则新记录的上游推荐关系链为空。If the user uses the non-recommended link method, the upstream recommendation relationship chain of the new record is empty.
用户只能推荐其进入过详情界面的商品，即：以该用户为推荐人创建过的所有推荐记录里的推荐商品，推荐时根据推荐用户ID与推荐商品ID查询推荐表获得相应记录，将该记录的推荐ID作为参数填入推荐链接，最后将该推荐链接分享到微信、qq等社交平台。The user can only recommend the products that he has entered the details interface, that is: the recommended products in all the recommended records created by the user as the recommender. When recommending, query the recommendation table according to the recommended user ID and the recommended product ID to obtain the corresponding records, and the corresponding records will be obtained. The recorded recommendation ID is used as a parameter to fill in the recommendation link, and finally the recommendation link is shared to social platforms such as WeChat and QQ.
用户与商品之间的推荐是多对多的关系，推荐人用户ID与推荐商品ID组合唯一确定一个推荐及其上游推荐关系链。The recommendation between users and products is a many-to-many relationship. The combination of the recommender user ID and the recommended product ID uniquely determines a recommendation and its upstream recommendation relationship chain.
用户进入商品详情界面时若未登录则要求用户登录，以便获得用户ID。If the user is not logged in when entering the product details interface, the user is required to log in in order to obtain the user ID.
推荐记录在用户首次进入商品详情界面时创建，用户首次进入商品详情界面的判断依据是：推荐表是否存在以当前用户ID为推荐人用户ID，当前商品ID为推荐商品ID的推荐记录，存在则不是首次，不存在则是首次。The recommendation record is created when the user enters the product details interface for the first time. The judgment basis for the user entering the product details interface for the first time is: whether there is a recommendation record with the current user ID as the recommender user ID and the current product ID as the recommended product ID. Not the first time, not the first time.
用户进入商品详情界面分为推荐链接方式和非推荐链接方式两种类型。The user enters the product details interface into two types: recommended link method and non-recommended link method.
推荐记录在用户首次进入商品详情界面时创建，推荐记录的上游推荐关系链根据用户进入商品详情界面的方式不同进行不同的设置。The recommendation record is created when the user enters the product details interface for the first time, and the upstream recommendation relationship chain of the recommendation record is set differently according to the way the user enters the product details interface.
推荐记录在用户首次进入商品详情界面时创建，一旦创建就不会更改。The recommendation record is created when the user enters the product details interface for the first time and will not be changed once created.
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