Top-K results for E-commerce Web Database

摘要：

With the size of the E-commerce Web database rapidly growing, a common problem arises that there are too many query results returned for a user query. In this paper, we propose a Top-k results approach which ranks the returned tuples taking attribute general weight, user preference and value desirableness into consideration and select the Top-k tuples based on the aggregation scores. Moreover, we develop early termination techniques based on aggregation algorithms in our approach. Experimental results show that our approach can effectively and efficiently select the Top-k results.

关键词： E-commerce Web database attribute weight aggregation algorithm

作者: Fangjiao Jiang Yukun Li Nan Yang

作者单位: Institute of Intelligence Information Processing Xuzhou Normal University Xuzhou,China School of Information Renmin University Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 143-147

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）