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| 基于排序学习的数字图书馆信息检索 | |
| 引用本文： | 申溢颖. 基于排序学习的数字图书馆信息检索[J]. 西安建筑科技大学学报(社会科学版), 2010, 29(1): 97-100 |
| 作者姓名： | 申溢颖 |
| 作者单位： | 浙江大学,浙江,杭州,310018;浙江警官职业学院,浙江,杭州,310018 |
| 摘 要： | 多媒体信息检索技术的一个研究热点是通过学习来对检索结果进行排序，而排序学习在数字图书馆信息检索中的应用也成为数字图书馆研究的一个新热点。本文分析了数字图书馆信息检索的现状和主流排序算法，特别着重分析现行经典排序算法PageRank，并在此基础上研究分析排序学习在数字图书馆个性化服务中的应用。结果表明排序学习在分析用户个性化需求，提高用户检索的查准率，满足用户个性化检索要求方面能够发挥重要作用。 |
| 关 键 词： | 排序学习 数字图书馆 信息检索 个性化服务 |
The Information Retrieval for the Digital Library Based on Learning to Rank |
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| SHEN Yi-ying. The Information Retrieval for the Digital Library Based on Learning to Rank[J]. Journal of Xi'an University of Architecture & Technology(Social Science Edition), 2010, 29(1): 97-100 | |
| Authors: | SHEN Yi-ying |
| Affiliation: | SHEN Yi-ying(Zhejiang University,Hangzhou 310018,China,Zhejiang Police Vocational Academy,China) |
| Abstract: | One of the hotspot in the research of multimedia information retrieval technology is to rank the search results with learning.Applied in the information retrieval of digital libraries it also becomes a new focus in the digital library research.This paper analyzes the status quo of the information retrieval and the mainstream ranking algorithm in the digital library with a special consideration on the analysis of current classical ranking algorithm PageRank,and the application of learning to rank in personal... |
| Keywords: | learning to rank digital library information retrieval personalized service |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |