基于数据融合和相关度反馈的信息检索方法

数据融合和基于相关度反馈的查询扩展是两种有效的检索过程优化技术。前者通过集成多个检索结果提高检索性能，后者执行多次查询，依据前次结果修改/扩展用户查询，以求更好地反映用户信息需求。在混合数据融合和查询扩展技术的基础上提出一种检索过程优化方法——HQD方法，由相关度反馈结果生成多个替代查询，检索这些替代查询后采用求和余弦方法生成最终检索结果。HQD方法能有效提高检索性能。

Information retrieval method based on data fusion and relevance feedback

Data fusion and relevance feedback based query expansion are two effective methods for information retrieval optimizing.While data fusion improves retrieval performance by merging multiple retrieval results,feedback based query expansion revises user query according to previous retrieval result and runs the new query to improve retrieval performance.Based on data fusion and query expansion,The hybrid method,Hybrid Query expansion and Data fusion method(HQD),for information retrieval optimizing was proposed....