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本文分析了用户对文献的查阅日志及用户间的关联关系,结合电力行业主题范畴表,获取用户的主题偏好。综合考虑检索相关度、用户主题偏好、文献来源权威性分析、引用关系分析等,建立新的排序模型,使结果排序更加准确,从而将与用户需求最相关的文献排到前面,提高检索功能的用户体验。基于lucene 4.3实现智能检索系统,并提供相关主题词提示、主题查询扩展、相关反馈等辅助功能。评测结果表明,该系统在检索满意度和检索效率等方面有显著提升。
This paper analyzes the user’s access to the literature of the log and the association between users, combined with the power industry topic category table, access to the user’s theme preferences. Comprehensive consideration of the relevance of the search, the user’s theme preferences, authoritative analysis of the source of the literature, the relationship between the reference analysis, the establishment of a new ranking model, the results sort more accurate, and thus the most relevant user needs documents to the front, improve the search function user experience. Based on lucene 4.3 intelligent retrieval system, and provide related keywords tips, subject query extensions, related feedback and other auxiliary functions. The evaluation results show that the system has significantly improved the retrieval satisfaction and retrieval efficiency.