摘要
网购商品的平面化,使得顾客无法看到商品的全部信息,因此网购评价成为了顾客在网购时获取信息的主要渠道.在实际生活中,评价者由于个人经验、性格、知识等方面的差异,对网购活动各指标所采用的评价语言的详细程度不尽相同.为了促使电子商务更加高效地发展,基于网购评价中各指标的语言评价集差异性特征,采用多粒度语言与网购评价相结合的方法,研究多粒度语言环境下的网购评价决策模型.结果表明:运用多粒度语言研究网购评价问题,有助于提高评价质量,对促进电子商务的发展有积极的作用.
Customers are not able to see all the information about the products because of on-line shopping products’ flatten characteristic,so on-line shopping comments have become the main channel for customers to obtain information about the products.In their daily lives,because of the evaluator’s personal experience,personality and knowledge,they have different levels of evaluation language for all the indexes of on-line shopping activities.To boost the efficient development of e-commerce,based on the diversities of linguistic evaluation set of the indexes of on-line shopping evaluation,the method of the combination of multi-granular linguistic information and on-line shopping evaluation should be adopted to investigate the on-line shopping evaluation and decision-making model in the multi-granularity language environment.Results show that：the application of multi-granularity language for investigating on-line shopping evaluation is very helpful to improve the quality of evaluation and shows a positive effect on boosting the development of e-commerce.
出处
《河北大学学报（自然科学版）》
CAS
北大核心
2016年第6期566-573,共8页
Journal of Hebei University(Natural Science Edition)
基金
河北省社科基金资助项目(HB16GL010)
关键词
多粒度语言
网购评价
指标
评价模型
multi-granularity language
on-line shopping comments
index
evaluation model
