| 面向领域的语义排序与自适应热点算法 |
| |
| 引用本文： | 郭炜,何丕廉. 面向领域的语义排序与自适应热点算法[J]. 天津大学学报(自然科学与工程技术版), 2007, 40(7): 877-881 |
| |
| 作者姓名： | 郭炜 何丕廉 |
| |
| 作者单位： | 天津大学计算机科学与技术学院 天津300072 |
| |
| 基金项目： | 天津市科学发展基金;天津市基础应用研究基金 |
| |
| 摘 要： | 为了加强面向领域的搜索技术查询有效性与准确性,在证券领域本体的基础上对检索表达式进行扩展,使检索内容更加相关.对于初始检索集,根据本体进行面向语义排序,提高了检索结果集相关度.对面向证券领域的语义信息检索系统框架数据流与算法效率进行了分析,并对语义排序算法功能进行增强,得到自适应热点算法扩展,使系统可以在特定时间段内根据用户点击率反映阶段性关注热点.
|
| 关 键 词： | 语义信息检索 证券领域本体 语义排序 自适应热点 |
| 文章编号： | 0493-2137（2007）07-0877-05 |
| 修稿时间： | 2006-11-06 |
Semantic Ranking Based on Special Area Retrieval and Self-Adaptive Hot Pot Algorithm |
| |
| GUO Wei,HE Pi-lian. Semantic Ranking Based on Special Area Retrieval and Self-Adaptive Hot Pot Algorithm[J]. Journal of Tianjin University(Science and Technology), 2007, 40(7): 877-881 |
| |
| Authors: | GUO Wei HE Pi-lian |
| |
| Affiliation: | School of Computer Science and Technology, Tianjin University, Tianjin 300072, China |
| |
| Abstract: | To improve the efficiency and accuracy of searching technology based on special area,the content of user query is extended according to stock ontology to be more relevant.Semantic ranking based on the ontology is used to re-rank initial retrieval set to improve relevancy.The information flow in framework of retrieval system as well as the efficiency of semantic ranking algorithm is analyzed.Meanwhile,self-adaptive hot pot for algorithm expansion is also used to extend the semantic ranking algorithm to show the hot pot of information in stock market during some period of time. |
| |
| Keywords: | semantic information retrieval stock ontology semantic ranking self-adaptive hot pot |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
