基于用户查询意图的搜索排序算法

A search ranking algorithm based on user's query intention

目前互联网技术的研究热点是智能化的、个性化的服务,而传统的Web搜索排序算法和已有的个性化排序已经不能满足政府、企业等用户的信息查询需要.本文将研究核心定位到充分理解用户查询偏好上,提出了基于用户偏好的PageRank算法.文中利用用户互反馈技术修正查询关键词,利用语义相关性技术分析用户查询意图,理解用户偏好.改进的算法完善了搜索查询的可靠性依据,能够较好地挖掘用户的偏好主题,贴近用户的查询目的,提高搜索查询效率和用户满意度.

Study on intelligent services has being a research focus in current internet field,while the traditional Web search sorting algorithm and existing personalized scheduling can no longer meet the user＇s query need in the government,enterprises and so on.This paper located the research core to fully understand the user＇s query preferences,and put forward the PageRank algorithm based on user preferences.Query Keywords were modified using user relevance feedback in this paper,and it made search engine analysis of the potential intent using semantic analysis method more convenient.Improved algorithm perfects the reliability of the search query,and digs the user＇s preferences topic well,which can closer to the purpose of the user＇s query,and to improve search query efficiency and user satisfaction.