摘要
超市的货架摆放、商品陈列,在一定程度上影响了商品的销售。通过对销售数据的分析,挖掘出商品之间的关联程度,进而确定商品在货架上的摆放位置,便于购物者就近选择,有利于提高超市的销售额。虽然,在分析数据过程中可以通过精确查询得到某两种或几种商品之间的关系,但同类型商品和某种其它商品之间的关系就不能通过精确查询得到。全文索引技术是目前搜索引擎的关键技术,由于商品种类繁多,在分析过程中使用全文索引技术可以减少系统开销,提高检索效率和精准度。
The placement of shelves and commodity display can affect the sales of the goods to some extent. Mine the correlation between the commodities through the analysis of sales data, and then confirm the placement of commodities on the shelves for the convenience of shoppers' proximity selection. It is advantageous to increase sales of the supermarket. Although the relationships between two or more than two types of commodities can be obtained by exact queries in the process of data analysis, the relationships between the same type of goods and some other commodities can ' t be obtained by the same approach. Full text indexing technology is the key technology of the present search engine. Due to the wide variety of goods, it can reduce the system cost and improve the retrieval efficiency and accuracy in the analysis process with full text indexing techniques.
出处
《微型电脑应用》
2015年第6期59-60,共2页
Microcomputer Applications
基金
广东省教育厅"质量工程"建设项目(粤教高函〔2014〕97号)
广东省高等教育教学改革项目(GDJG20142436)
韶关学院教育教学改革研究重点项目(SYJY20131404)
广东省自然科学基金资助项目(2014A030307029)
广东省高等学校科技创新(重点)项目(2013KJCX0168)
韶关学院教育教学改革研究青年项目(SYJY20141561)
广东省哲学社会科学项目(GD13XGL29)
广东省普通高校特色创新项目(2014KTSCX171)
关键词
全文索引
关联度
检索
挖掘
Full-text Index
Correlation
Retrieval
Mining