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1. (WO2018165968) WEBPAGE SEARCH-BASED MERCHANT EVALUATION AND RECOMMENDATION SYSTEM AND METHOD

Pub. No.:    WO/2018/165968    International Application No.:    PCT/CN2017/077015
Publication Date: Fri Sep 21 01:59:59 CEST 2018 International Filing Date: Sat Mar 18 00:59:59 CET 2017
IPC: G06F 17/30
Applicants: SHENZHEN XIUSTYLE BRAND COMMUNICATION CO., LTD.
深圳市秀趣品牌文化传播有限公司
Inventors: LI, Chubin
李楚斌
Title: WEBPAGE SEARCH-BASED MERCHANT EVALUATION AND RECOMMENDATION SYSTEM AND METHOD
Abstract:
The present invention provides a webpage search-based merchant evaluation and recommendation system and method. The method comprises: acquiring e-commerce data from e-commerce platforms; parsing the e-commerce data of the e-commerce platforms, and creating a commodity type list according to commodity type keywords; acquiring related merchant webpages from a search engine website; according to a node keyword of the commodity type list, searching among the related merchant webpages, and associating the related merchant webpages found with nodes corresponding to the node keyword; according to the related merchant webpages found, scoring each commodity of the commodity type list; and when a user queries a corresponding commodity by means of a client, recommending the commodity having the highest score to the user, and displaying same on the client of the user. The present invention can perform a big data analysis of e-commerce data, thereby facilitating users in finding corresponding commodities, saving user query time.