电子商务个性化文档推荐技术研究

Research on Personalized Document Recommendation of Electronic Commerce

电子商务个性化文档推荐同时具有电子商务推荐系统以及文档信息处理的特点,由此本文首先概括了目前电子商务推荐以及文档信息处理的主要技术,多种推荐技术的有效集成会提高推荐的精度与个性化,也是未来电子商务中个性化文档推荐的发展趋势。其次阐述了几种重要的用户兴趣获取技术及其面临的主要问题。最后分析了电子商务个性化文档推荐技术面临的主要问题及未来发展方向,旨在挖掘用户潜在兴趣,提高文档推荐个性化和提高推荐质量。

Personalized document recommendation of electronic commerce has some special characteristics,which come from two sides:electronic commerce and text information.Firstly,the techniques of document recommendation of electronic commerce and text information processing are generalized in this paper.Generally,one single technology usually has its own limitation,while the valid combination of several recommendation techniques may improve the precision and personalization of document recommendation,and it has become the future research direction. Secondly,several typical techniques of acquiring user,preference are explained.At last,the main problems are pointed out,which are suffered from by the personalized document recommendation.