企业搜索引擎个性化排序方法  

Personalized Ranking in Enterprise Search Engine

作　　者：文必龙[1] 张璇[1] 赵晶浩[1] 赵满[1] 

机构地区：[1]东北石油大学计算机与信息技术学院,大庆163318

出　　处：《计算机系统应用》2013年第4期199-203,共5页Computer Systems & Applications

基　　金：国家科技重大专项(2011ZX05023-005-012);黑龙江省教育厅科学技术研究项目(11551018)

摘　　要：针对传统搜索引擎"面向检索"而非"面向用户"的缺点,将个性化服务思想引入到企业搜索引擎排序中,对其关键技术即用户兴趣建模进行了研究,将模型用于查询扩展及排序中,并为企业搜索引擎设计基于用户兴趣的个性化排序方法,能为不同用户的同一检索请求提供不同的检索结果列表.通过将研究用于油田企业搜索引擎的实验证明,本研究能有效地提高企业搜索引擎检索精确度及满足用户的个性化检索需求,并具有较好的自适应能力.Traditional search engine is retrieval-oriented rather than user-oriented, in view of this weakness, the paper introduces the idea of personalized service to the enterprise search engine ranking. The user interest modeling technology which is the core of personalized service was researched in the paper. We apply the user interest model to query expansion and ranking and designed the personalized ranking method for the enterprise search engine. So the engine can display different result of the same retrieval for different users. We apply the personalized ranking to enterprise search engine in oilfield enterprise search and the tests show that, the research not only can effectively enhances the retrieval accuracy of the enterprise search engine and satisfies the user＇s personalized retrieval demand, but also has good adaptability.

关 键 词：个性化排序 用户兴趣模型 企业搜索引擎 查询扩展 VSM 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]