标题: | 电子目录系统个人化商品资讯过滤之研究 Research on Personalized Merchandise Information Filtering in Electronic Catalog Systems |
作者: | 黄雅文 Ya-Wen Huang 刘敦仁 Duen-Ren Liu 资讯管理研究所 |
关键字: | 电子目录;资讯过滤;电子商务;个人偏好设定;软体代理人;e-catalog;information filtering;electronic commerce;user profile;metadata;agent |
公开日期: | 1998 |
摘要: | 网际网路的发达使得越来越多的虚拟商店在网路上贩卖商品,然而,过度泛滥的资讯使得消费者必须花费相当多的时间去个别搜寻自己所感兴趣的商品。电子目录系统可以提供商品资讯的搜寻,但是,仍有可能因为商品资讯过于繁多而让搜寻结果过于庞大。 本研究之目的在于发展一架构在电子目录下的个人化商品资讯过滤方法,从电子目录进一步去过滤商品资讯。本文提出一商品资讯的描述方式,来表达商品的特性,并建立三层的商品树来描述商品间属性的树状关系,并根据电子目录的架构,建立出使用者对于不同商品特性的三层式偏好设定,来描述使用者购物的喜好。另外,本文提出反向索引结构来表达商品属性的关系。最后,本研究提出了根据使用者偏好设定分别针对商品树及反向索引结构进行搜寻与过滤的不同方法,并比较其在资讯过滤的效能。 With the rapid growth of Internet, virtual stores are increasing enormously. However, users may encounter an information over-flooding problem, which makes users spend most of their time searching and eliminating irrelevant merchandise information. Though e-catalog systems provide some search functions to search merchandise information, the result may still be too large. The aim of our study was to design information filtering functions in e-catalog systems that are able to eliminate irrelevant merchandise information automatically by taking into account of user profiles. A three-level merchandise metadata is used to describe the detail of a specific product and to construct the e-catalogs. Additionally, we use a three-level merchandise tree to categorize merchandise information into a tree structure based on the e-catalogs. A three-level user profile based on e-catalog systems is also proposed to describe a user's shopping interest in all kinds of product. Furthermore, an inverted index structure is also used to provide an alternative way to describe the merchandise information. Finally, we propose different matching algorithms to filter merchandise information according to the user profile. Experimental evaluations are conducted to compare the performance of various approaches. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#NT870396008 http://hdl.handle.net/11536/64233 |
显示于类别: | Thesis |