Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance
Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance
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DOI：
10.1109/icdm.2013.20
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
Xiaogang Han;Wenjun Zhou;Xing Jiang;Hengjie Song;Mingquan Zhong;T. Nishida
中科院分区：
文献类型：
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作者：
Xiaogang Han;Wenjun Zhou;Xing Jiang;Hengjie Song;Mingquan Zhong;T. Nishida
查询-URL相关性（QUR）是衡量商业搜索引擎质量的重要标准。然而，传统的方式来收集高质量的QURs是耗时和劳动密集型的，因为它主要是基于人类的判断。为了解决这些问题，已经研究了许多模型来自动推断QUR。与以往的研究不同，我们首先实证分析了多个注释者对QURs的判断与URL在排名列表中的位置之间的相关性。通过这样做，我们揭示并证明了URL位置对推断内在QURs的潜在影响。受此启发，提出了一种位置敏感模型（PSM）来更准确地推断QUR。与大多数现有的方法，试图构建QURs和特征的查询URL对之间的直接关系，PSM假设的QUR是通过URL的位置与功能连接。我们在真实的搜索引擎Baidu.com上进行了实验，并将实验结果与类似任务中使用的典型方法进行了比较，报告了点击率和归一化折扣累积增益（NDCG）的显着增益。
Query-URL relevance (QUR) is an important criterion to measure the quality of commercial search engines. However, the traditional way to collect high-quality QURs is time-consuming and labor-intensive since it is primarily based on human judges. To address these issues, numerous models have been studied to automatically infer the QURs. Unlike the prior studies in this literature, we first empirically analyze the correlation between multiple annotators' judgments on QURs and URL position in ranking lists. By doing so, we reveal and justify the potential impacts of URL position on inferring intrinsic QURs. Inspired by this finding, a position-sensitive model (PSM) is proposed to infer QURs more accurately. In contrast with most existing approaches that attempt to construct the direct relationship between QURs and the features characterizing query-URL pairs, PSM assumes that the QUR is connected with the features through URL position. We conducted the experiments in real search engine Baidu.com, and compared the experimental results to those of the typical methods used in similar tasks, reporting significant gains over click-through rate and the normalized discounted cumulative gains (NDCGs).