WO2017201849A1 - 商品信息的推送方法和商品信息的推送系统 - Google Patents

商品信息的推送方法和商品信息的推送系统 Download PDF

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Publication number
WO2017201849A1
WO2017201849A1 PCT/CN2016/090756 CN2016090756W WO2017201849A1 WO 2017201849 A1 WO2017201849 A1 WO 2017201849A1 CN 2016090756 W CN2016090756 W CN 2016090756W WO 2017201849 A1 WO2017201849 A1 WO 2017201849A1
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customer
items
product
information
identification information
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PCT/CN2016/090756
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English (en)
French (fr)
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蒋浩良
胡志翔
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宇宙世代信息技术（深圳）有限公司
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Publication of WO2017201849A1 publication Critical patent/WO2017201849A1/zh

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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
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • 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]
    • 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
    • G06Q30/0253—During e-commerce, i.e. online transactions

Definitions

  • the present invention relates to the field of computer communication technologies, and in particular, to a method for pushing product information and a system for pushing product information.
  • the technical problem to be solved by the present invention is to provide a method for pushing product information, which provides a best sorting of N items associated with a customer to a customer, so that the customer can purchase goods according to the optimal order, thereby reducing the need for customer search.
  • the time of the product has improved the user experience.
  • the present invention provides a method for pushing commodity information, comprising the following steps:
  • step S1 the customer labels of the M customers are stored in the customer label library, and each customer corresponds to multiple customer labels, and each customer includes preset identification information.
  • the product tags storing the N products are in the product tag library, and each product corresponds to a plurality of product tags.
  • the default order of storing N items is in the dynamic buffer and provides a unified external web link address, and the unified external web link address corresponds to a merchandise display area.
  • Step S2 the plurality of customer tags of the i-th customer are respectively matched with the plurality of product tags of each commodity to obtain the matching degree of each commodity, and the N products are sorted in descending order according to the matching degree to obtain the association with the i-th customer.
  • the best sort of N items, where i 1.
  • Step S3 storing the best ranking of the N items associated with the i-th customer into the dynamic buffer, i++, repeating steps S2 and S3 until the optimal ranking of the N items associated with the Mth customer is obtained.
  • Step S4 When receiving the open request of the unified external webpage link address, obtaining the customer identification information of the initiate open request.
  • step S5 it is determined whether there is preset identification information corresponding to the customer identification information.
  • Step S6 If there is preset identifier information corresponding to the customer identification information, obtain the best sorting of the N items associated with the customer corresponding to the preset identifier information from the dynamic buffer, and send the best sort of the N items to the product display. Area.
  • step S5 the method further includes:
  • Step S7 If there is no preset identification information corresponding to the customer identification information, obtain a default order of N items from the dynamic buffer and send a default order of the N items to the product display area.
  • the default ordering of the N items includes ranking in descending order according to the amount of user browsing and/or the amount of purchase.
  • the present invention also provides a push system for commodity information, including:
  • the basic information storage module is configured to store customer labels of the M customers in the customer label library, each customer corresponding to multiple customer labels, and each customer includes preset identification information.
  • the product tags storing the N products are in the product tag library, and each product corresponds to a plurality of product tags.
  • the default order of storing N items is in the dynamic buffer and provides a unified external web link address, and the unified external web link address corresponds to a merchandise display area.
  • the optimal sorting calculation module is configured to match the plurality of customer labels of the i-th customer with the plurality of product labels of each product to obtain the matching degree of each product, and sort the N items in descending order according to the matching degree.
  • the best sort of N items associated with i customers, where i 1.
  • the best sorting storage module is used for storing the best sorting of the N items associated with the i-th customer into the dynamic buffer, i++, repeating the best sorting calculation module and the best sorting storage module until obtaining the Mth customer The best sort of associated N items.
  • the client identifier obtaining module is configured to obtain the client identifier information that initiates the open request when receiving the open request of the external webpage link address.
  • the customer identification determining module is configured to determine whether there is preset identification information corresponding to the customer identification information.
  • the optimal sorting sending module is configured to: if there is preset identifier information corresponding to the customer identification information, obtain the best sorting of the N items associated with the customer corresponding to the preset identifier information from the dynamic buffer, and optimize the N items. Sorts are sent to the product display area.
  • the pushing system of the product information further includes: a default sorting sending module, configured to obtain a default sorting of N items from the dynamic buffer and N items if there is no preset identification information corresponding to the customer identification information The default sort is sent to the merchandise display area.
  • a default sorting sending module configured to obtain a default sorting of N items from the dynamic buffer and N items if there is no preset identification information corresponding to the customer identification information The default sort is sent to the merchandise display area.
  • the default ordering of the N items includes ranking in descending order according to the amount of user browsing and/or the amount of purchase.
  • the present invention improves the user's time by providing the best ordering of the N items associated with the customer, so that the customer can purchase the goods according to the optimal order, reducing the time for the customer to search for the goods required, and improving the user. Experience.
  • FIG. 1 is a schematic diagram of functional modules of an embodiment of a push information system for product information according to the present invention.
  • FIG. 2 is a schematic flow chart of an embodiment of a method for pushing commodity information according to the present invention.
  • Fig. 1 shows an embodiment of a push system for commodity information of the present invention.
  • the push information system 1 of the product information includes a basic information storage module. 10, the best sorting calculation module 11, the best sorting storage module 12, the customer identification acquisition module 13, the customer identification judgment module 14, the best sorting sending module 15 and the default sorting sending module 16.
  • the basic information storage module 10 is configured to store customer labels of the M customers in the customer label library, each customer corresponding to multiple customer labels, and each customer includes preset identification information.
  • the product tags storing the N products are in the product tag library, and each product corresponds to a plurality of product tags.
  • the default order of storing N items is in the dynamic buffer and provides a unified external web link address, and the unified external web link address corresponds to a merchandise display area.
  • the customer tag is used to express some attribute information (such as a pregnant woman, etc.) of the selected consumer, and the attribute information can indicate the currently required item of the selected consumer.
  • Product tags are used to convey attribute information about certain characteristics of a product (such as watches, office workers, etc.). It should be noted that the customer label, the product label, and the default order in this embodiment are dynamically updated by the preset preset time period.
  • Optimal sorting calculation module 11 The plurality of customer tags for the i-th customer are respectively matched with the plurality of product tags of each item to obtain the matching degree of each item, and the N items are sorted in descending order according to the matching degree to be associated with the i-th customer.
  • the optimal sorting storage module 12 is configured to store the best sorting of the N items associated with the i-th customer into the dynamic buffer, i++, and repeatedly execute the optimal sorting computing module 11 and the optimal sorting storage module 12 until the best sort of N items associated with the Mth customer is obtained.
  • A is a pregnant woman
  • B is a young office worker
  • C is a beautiful girl
  • 50 commodities including maternal milk powder, youth watches, fashion ladies clothing.
  • the maternal milk powder is in the middle of the ranking, which belongs to the current shopping process of pregnant women, the possibility of purchase and the demand for higher goods, reducing the time for pregnant women A to search for pregnant women's milk powder. Increased user buying experience.
  • the youth watch is in the middle of the ranking.
  • the trend women's clothing is in the middle of sorting.
  • Customer identification acquisition module 13 When receiving an open request for a unified external webpage link address, obtaining the customer identification information that initiates the open request.
  • Customer identification judgment module 14 It is used to determine whether there is preset identifier information corresponding to the customer identification information.
  • the default sorting send module 16 If there is no preset identification information corresponding to the customer identification information, obtain a default order of N items from the dynamic buffer and send a default order of the N items to the product display area. It should be noted that, assuming that the customer A wants to recommend the software of the embodiment to his friend X, he only needs to share the webpage link to the friend X. When the friend X initiates the opening request of the webpage link, the shopping platform is the first time. Send the default sort to the friend X.
  • the default ordering of N items includes sorting in descending order according to the user's browsing amount and/or purchasing amount. Therefore, the friend X opens the webpage link for the first time, and the user is also the most popular item currently displayed, and also enhances the probability that the friend X quickly picks up the item that he or she likes. It should be noted that the present embodiment is not only applicable to the default ordering by the amount of browsing and/or the amount of purchase, but the default ordering of the items by using other data statistics such as the number of comments is within the protection scope of the present invention.
  • Fig. 2 shows an embodiment of a method of pushing the commodity information of the present invention.
  • the method for pushing the product information includes the following steps:
  • step S1 the customer labels of the M customers are stored in the customer label library, and each customer corresponds to multiple customer labels, and each customer includes preset identification information.
  • the product tags storing the N products are in the product tag library, and each product corresponds to a plurality of product tags.
  • the default order of storing N items is in the dynamic buffer and provides a unified external web link address, and the unified external web link address corresponds to a merchandise display area.
  • the default ordering of N items includes sorting in descending order according to the user's page views and/or purchase amount. It should be noted that the present embodiment is not only applicable to the default ordering by the amount of browsing and/or the amount of purchase, but the default ordering of the items by using other data statistics such as the number of comments is within the protection scope of the present invention.
  • Step S2 the plurality of customer tags of the i-th customer are respectively matched with the plurality of product tags of each commodity to obtain the matching degree of each commodity, and the N products are sorted in descending order according to the matching degree to obtain the association with the i-th customer.
  • the best sort of N items, where i 1.
  • Step S3 storing the best ranking of the N items associated with the i-th customer into the dynamic buffer, i++, repeating steps S2 and S3 until the optimal ranking of the N items associated with the Mth customer is obtained.
  • Step S4 When receiving the open request of the unified external webpage link address, obtaining the customer identification information of the initiate open request.
  • step S5 it is determined whether there is preset identification information corresponding to the customer identification information. If there is preset identification information corresponding to the customer identification information, step S6 is performed. If there is no preset identification information corresponding to the customer identification information, step S7 is performed.
  • step S6 the N items ranked by the customer corresponding to the preset identification information are optimally sorted from the dynamic buffer, and the N items are optimally sorted and sent to the commodity display area.
  • Step S7 Obtain a default order of N items from the dynamic buffer and send a default order of N items to the item display area.

Abstract

本发明公开了一种商品信息的推送方法及商品信息的推送系统。其中，该推送方法包括： S1 ，存储 M 个客户的客户标签、存储 N 个商品的商品标签和默认排序、提供外部网页链接地址及其对应的商品展示区。 S2 ，第 i 个客户的客户标签分别与每一个商品的商品标签媒合得到与第 i 个客户关联的 N 个商品的最佳排序。 S3 ，存储上述最佳排序至动态缓冲区中， i++ ，重复 S2 和 S3 直至得到与第 M 个客户关联的 N 个商品的最佳排序。 S4 ，当接收到外部网页链接地址的打开请求时，获取客户标识信息。 S5 ，判断是否存在与客户标识信息对应的预设标识信息。 S6 ，若存在，从动态缓冲区中获取与预设标识信息对应的 N 个商品的最佳排序并将其发送至商品展示区。

Description

商品信息的推送方法和商品信息的推送系统
技术领域
本发明涉及计算机通信技术领域，尤其涉及一种商品信息的推送方法及商品信息的推送系统。
背景技术
随着网络业务的扩张，越来越多的电子商务网站给用户提供了大量待销售商品的信息。现有的方式是卖方提供所有的商品信息至所有的消费者。但是，随着销售商品的数目以及种类的增加，消费者在大量的商品信息中选购商品时很难短时间内寻找到自身喜好的商品造成了成交率降低。
有鉴于此，实有必要提供一种有助于消费者快速选购所需的商品的商品信息的推送方法以解决现有技术的缺陷。
发明内容
本发明所要解决的技术问题是提供一种商品信息的推送方法，通过提供与客户关联的N个商品的最佳排序给客户，以便客户根据该最佳排序选购商品，减少了客户搜索所需的商品的时间，提升了用户体验度。
为了解决上述问题，本发明提供了一种商品信息的推送方法，包括如下步骤：
步骤S1，存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息。存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签。存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，统一的外部网页链接地址对应一个商品展示区。
步骤S2，第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1。
步骤S3，存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行步骤S2和步骤S3直至得到与第M个客户关联的N个商品的最佳排序。
步骤S4，当接收到统一的外部网页链接地址的打开请求时，获取发起打开请求的客户标识信息。
步骤S5，判断是否存在与客户标识信息对应的预设标识信息。
步骤S6，若存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取与预设标识信息对应的客户关联的N个商品最佳排序并将N个商品最佳排序发送至商品展示区。
优选地，步骤S5之后，还包括：
步骤S7，若不存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取N个商品的默认排序并将N个商品的默认排序发送至商品展示区。
优选地，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。
为了解决上述问题，本发明还提供了一种商品信息的推送系统，包括:
基本信息存储模块，用于存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息。存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签。存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，统一的外部网页链接地址对应一个商品展示区。
最佳排序计算模块，用于第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1。
最佳排序存储模块，用于存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行最佳排序计算模块和最佳排序存储模块直至得到与第M个客户关联的N个商品的最佳排序。
客户标识获取模块，用于接收到外部网页链接地址的打开请求时，获取发起打开请求的客户标识信息。
客户标识判断模块，用于判断是否存在与客户标识信息对应的预设标识信息。
最佳排序发送模块，用于若存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取与预设标识信息对应的客户关联的N个商品最佳排序并将N个商品最佳排序发送至商品展示区。
优选地，商品信息的推送系统还包括：默认排序发送模块，用于若不存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取N个商品的默认排序并将N个商品的默认排序发送至商品展示区。
优选地，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。
与现有技术相比，本发明通过提供与客户关联的N个商品的最佳排序给客户，以便客户根据该最佳排序选购商品，减少了客户搜索所需的商品的时间，提升了用户体验度。
附图说明
图1为本发明商品信息的推送系统一种实施例的功能模块示意图。
图2为本发明商品信息的推送方法一种实施例的流程示意图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用来限定本发明。
图1展示了本发明商品信息的推送系统的一种实施例。在本实施例中，该商品信息的推送系统 1包括基本信息存储模块 10、最佳排序计算模块 11、最佳排序存储模块 12、客户标识获取模块 13、客户标识判断模块 14、最佳排序发送模块 15和默认排序发送模块 16。其中，基本信息存储模块10，用于存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息。存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签。存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，统一的外部网页链接地址对应一个商品展示区。需要说明的是，客户标签是用于表达所选消费者的一些属性信息（譬如：孕妇等等），该属性信息能表明该所选消费者当前所需商品。商品标签用于表达某一个商品某些特性的属性信息（譬如：手表、上班族等等）。需要说明的是，本实施例中的客户标签、商品标签和默认排序是间隔预设时间段动态更新的。
最佳排序计算模块 11，用于第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1。最佳排序存储模块 12，用于存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行最佳排序计算模块 11 和最佳排序存储模块 12直至得到与第M个客户关联的N个商品的最佳排序。需要说明的，假设存在3个用户：A为孕妇、B为上班族青年和C为美少女，以及50个商品（包括孕妇奶粉、青年腕表、潮流女士服装）。则与A关联的50个商品的最佳排序中，孕妇奶粉在排序中靠前，属于孕妇当前购物过程中，购买可能性和需求性较高的商品，减少了孕妇A搜索孕妇奶粉的时间以致提升了用户的购买体验度。同理，与B关联的50个商品的最佳排序中，青年腕表在排序中靠前。此外，与C关联的50个商品的最佳排序中，潮流女士服装在排序中靠前。
客户标识获取模块 13，用于接收到统一的外部网页链接地址的打开请求时，获取发起打开请求的客户标识信息。客户标识判断模块 14，用于判断是否存在与客户标识信息对应的预设标识信息。最佳排序发送模块 15，用于若存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取与预设标识信息对应的客户关联的N个商品最佳排序并将N个商品最佳排序发送至商品展示区。本实施例通过提供与客户关联的N个商品的最佳排序给客户，以便客户根据该最佳排序选购商品，减少了客户搜索所需的商品的时间，提升了用户体验度。
此外，为了便于新用户在首次实施本实施例的软件时，也能快速选购所需的商品。在其他实施中，默认排序发送模块 16，用于若不存在与客户标识信息对应的预设标识信息，从动态缓冲区中获取N个商品的默认排序并将N个商品的默认排序发送至商品展示区。需要说明的是，假设A客户想向他的朋友X推荐实施本实施例的软件时，则只需要分享该网页链接给该朋友X，当朋友X发起该网页链接的打开请求时，购物平台首次发送默认排序给该朋友X。需要说明的是，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。因此，朋友X初次打开网页链接，展示给用户也是当前最受欢迎的商品，也提升了朋友X快速挑选到自己喜爱或所需的物品的概率。需要说明的是，本实施例不仅仅适用于通过浏览量和/或购买量得到默认排序，采用评论数等其他数据统计量来获取商品的默认排序均在本发明的保护范围以内。
图2展示了本发明商品信息的推送方法的一种实施例。在本实施例中，该商品信息的推送方法包括如下步骤：
步骤S1，存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息。存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签。存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，统一的外部网页链接地址对应一个商品展示区。为了保证新用户根据默认排序快速选购到所需或喜爱的商品，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。需要说明的是，本实施例不仅仅适用于通过浏览量和/或购买量得到默认排序，采用评论数等其他数据统计量来获取商品的默认排序均在本发明的保护范围以内。
步骤S2，第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1。
步骤S3，存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行步骤S2和步骤S3直至得到与第M个客户关联的N个商品的最佳排序。
步骤S4，当接收到统一的外部网页链接地址的打开请求时，获取发起打开请求的客户标识信息。
步骤S5，判断是否存在与客户标识信息对应的预设标识信息。若存在与客户标识信息对应的预设标识信息，执行步骤S6。若不存在与客户标识信息对应的预设标识信息，执行步骤S7。
步骤S6，从动态缓冲区中获取与预设标识信息对应的客户关联的N个商品最佳排序并将N个商品最佳排序发送至商品展示区。
步骤S7，从动态缓冲区中获取N个商品的默认排序并将N个商品的默认排序发送至商品展示区。
以上对发明的具体实施方式进行了详细说明，但其只作为范例，本发明并不限制与以上描述的具体实施方式。对于本领域的技术人员而言，任何对该发明进行的等同修改或替代也都在本发明的范畴之中，因此，在不脱离本发明的精神和原则范围下所作的均等变换和修改、改进等，都应涵盖在本发明的范围内。

Claims (6)

  1. 一种商品信息的推送方法，其特征在于，包括如下步骤：
    步骤S1，存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息；存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签；存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，所述统一的外部网页链接地址对应一个商品展示区；
    步骤S2，第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据所述匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1；
    步骤S3，存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行步骤S2和步骤S3直至得到与第M个客户关联的N个商品的最佳排序；
    步骤S4，当接收到所述统一的外部网页链接地址的打开请求时，获取发起所述打开请求的客户标识信息；
    步骤S5，判断是否存在与所述客户标识信息对应的所述预设标识信息；
    步骤S6，若存在与所述客户标识信息对应的所述预设标识信息，从所述动态缓冲区中获取与所述预设标识信息对应的客户关联的N个商品最佳排序并将所述N个商品最佳排序发送至所述商品展示区。
  2. 根据权利要求1所述的商品信息的推送方法，其特征在于，步骤S5之后，还包括：
    步骤S7，若不存在与所述客户标识信息对应的所述预设标识信息，从所述动态缓冲区中获取N个商品的默认排序并将所述N个商品的默认排序发送至所述商品展示区。
  3. 根据权利要求1所述的商品信息的推送方法，其特征在于，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。
  4. 一种商品信息的推送系统，其特征在于，包括:
    基本信息存储模块，用于存储M个客户的客户标签于客户标签库中，每一个客户对应多个客户标签且每一个客户包括预设标识信息；存储N个商品的商品标签于商品标签库中，每一个商品对应多个商品标签；存储N个商品的默认排序于动态缓冲区中以及提供一个统一的外部网页链接地址，所述统一的外部网页链接地址对应一个商品展示区；
    最佳排序计算模块，用于第i个客户的多个客户标签分别与每一个商品的多个商品标签进行匹配得到每一个商品的匹配度并根据所述匹配度对N个商品进行降序排序得到与第i个客户关联的N个商品的最佳排序，其中，i= 1；
    最佳排序存储模块，用于存储第i个客户关联的N个商品的最佳排序至动态缓冲区中，i++，重复执行最佳排序计算模块和最佳排序存储模块直至得到与第M个客户关联的N个商品的最佳排序；
    客户标识获取模块，用于接收到所述外部网页链接地址的打开请求时，获取发起所述打开请求的客户标识信息；
    客户标识判断模块，用于判断是否存在与所述客户标识信息对应的所述预设标识信息；
    最佳排序发送模块，用于若存在与所述客户标识信息对应的所述预设标识信息，从所述动态缓冲区中获取与所述预设标识信息对应的客户关联的N个商品最佳排序并将所述N个商品最佳排序发送至所述商品展示区。
  5. 根据权利要求4所述的商品信息的推送系统，其特征在于，所述商品信息的推送系统还包括：默认排序发送模块，用于若不存在与所述客户标识信息对应的所述预设标识信息，从所述动态缓冲区中获取N个商品的默认排序并将所述N个商品的默认排序发送至所述商品展示区。
  6. 根据权利要求4所述的商品信息的推送系统，其特征在于，N个商品的默认排序包括根据用户浏览量和/或购买量进行降序排序得到。
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