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Designing Ranking System for Chinese Product Search Engine Based on Customer Reviews

机译：基于顾客评价的中国产品搜索引擎排名系统设计

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摘要

With the spread of e-commerce platforms, it becomes extremely difficult for the costumer to choose the right product from a large number of products, and different sellers based only on his/her own experience, product picture and meta-data.Customer's reviews present a rich source of information that have an enormous impact on the purchasing decision of the potential consumers, but reading all of the available reviews is a hard task and time consuming.Thus, the automated mining of these reviews and extract product features in order to generate a raking system present a valuable and useful tool for consumers to make well-versed decision.In this paper, we propose a product search ranking mechanism based on costumers reviews written in Chinese language.We score each product using the features extracted from the reviews.Also, a ranking function has been developed.The proposed research evaluated using customer reviews of two famous brands of mobile phones: Apple and Samsung from taobao.com.The evaluation shows a promising result compared to the existing systems.
机译：随着电子商务平台的普及，客户很难从大量产品中选择合适的产品，而仅根据自己的经验，产品图片和元数据来选择不同的卖家。丰富的信息源会对潜在消费者的购买决策产生巨大影响，但是阅读所有可用的评论是一项艰巨的任务和耗时的工作，因此，自动挖掘这些评论并提取产品功能以生成本文提出了一种基于中文的顾客评论的产品搜索排名机制，并利用评论中提取的特征对每个产品进行评分。此外，还开发了一种排名功能。该建议的研究使用了来自淘宝网的两个著名手机品牌：苹果和三星的客户评论进行了评估。与现有系统相比，评估显示出可喜的结果。

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