【摘要】 针对医药电子商务行业中药品检索结果的单调性和难以理解等问题,运用信息地图理论,通过增加药品间的相关性等信息向医药行业的从业人员提供一个结构化的药品信息地图,从而更加合理地向顾客推荐药品。首先使用中文分词算法从药品说明书中提取药品属性集。然后结合这些属性分析并设计信息地图的度量指标:相关性、覆盖面、连通性。最后提出信息地图的构建和优化算法,并结合真实的医药电子商务网站案例进行数据分析,验证算法的合理性。实验结果表明,信息地图能够更加清晰地将药品之间的关系反馈给用户,从而使用户更好地了解药品信息,快速有效地找到合适的药品。更多还原

【Abstract】 To increase the diversity and comprehensibility of leechdoms search results in medicine e-commerce industry,we apply information map theory to provide a structured medicine information map for the practitioners in pharmaceutical industry by using additional information of correlation between the leechdoms,so that more reasonable medicine recommendation can be made for customers. At the first step,the properties set of medicine are extracted by Chinese segmentation algorithm from Chinese medicine instructions. These properties are then used to analyse and design the metric indexes such as correlation,coverage and connectivity concerned with the information map. At last,the algorithm of information map construction and optimisation is proposed,and the data analysis is made in conjunction with the cases in real medical e-commerce website to validate the rationality of the algorithm. Experimental results show that the information map can provide more clearly the relationship between the medicines for the users,thereby enables them to understand pharmaceutical information better and to find suitable medicines rapidly and efficiently.更多还原