摘要
通过分析在电子商务环境下购物搜索引擎所面临的问题,提出了一种跨网站式的模糊识别多媒体信息购物搜索引擎的模型架构方案,并结合用户个性化的需求进行学习和调整来提高用户的搜索满意度,以提升其购物意愿,进而促进电子商务的发展。运用相关检索指标对该模型进行效能评估,以证明模型的可行性和有效性,并通过分析模型的局限性,提出未来的改进方向。
This paper analyzed the problems faced by shopping search engine in e-commerce environment, presented a cross-site type model architecture program of shopping search engine based on fuzzy recognition multimedia information, and combined with the user personality demand to learning and adjusting the model, in order to improve the user’s search satisfaction and enhance their shopping wishes, thus contributing to the development of e-commerce. And the study used the retrieval norms to evaluate performance of the model, to demonstrate its feasibility and effectiveness, and proposed improvement direction of the model for future by analyzing its limitations.
出处
《计算机应用研究》
CSCD
北大核心
2010年第6期2176-2180,共5页
Application Research of Computers
基金
国家社科基金资助项目(08XTQ010)
关键词
网络购物搜索引擎
模糊识别
个性化
信息检索
模型架构
评估
online shopping search engine
fuzzy recognition
personality
information retrieval
model architecture
evaluation
