Elicitation and use of relevance feedback information

Olga Vechtomova; Murat Karamuftuoglu

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Elicitation and use of relevance feedback information

机译：启发和使用相关反馈信息

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摘要

The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the user to select a number of sentences that represent documents. The second method consists of showing to the user a list of noun phrases extracted from the initial document set. Both methods then expand the query based on the user feedback. The TREC results show that one of the methods is an effective means of interactive query expansion and yields significant performance improvements. The paper presents a comparison of the methods and detailed analysis of the evaluation results.

机译：本文介绍了两种方法，它们可以在TREC-12的“从文档进行高精度检索”（HARD）轨道中交互式地改进用户搜索公式及其评估。第一种方法包括要求用户选择一些代表文档的句子。第二种方法包括向用户显示从初始文档集中提取的名词短语列表。然后，这两种方法都会根据用户反馈来扩展查询。 TREC结果表明，其中一种方法是交互式查询扩展的有效手段，并且可以显着提高性能。本文介绍了方法的比较和评估结果的详细分析。

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来源
《Information Processing & Management》 |2006年第1期|p.191-206|共16页
作者
Olga Vechtomova; Murat Karamuftuoglu;
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作者单位

Department of Management Sciences, University of Waterloo, 200 University Avenue West, Waterloo, Ont., Canada N2L 3GE;

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原文格式 PDF
正文语种 eng
中图分类图书馆学、图书馆事业;情报学、情报工作;
关键词
information retrieval; query expansion; natural language processing; interactive retrieval; relevance feedback;

机译：信息检索;查询扩展;自然语言处理;交互检索;相关反馈;

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1. Convolutional neural networks for relevance feedback in content based image retrieval A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback [J] . Lorenzo Putzu, Luca Piras, Giorgio Giacinto Multimedia Tools and Applications . 2020,第37a38期

机译：基于内容的图像检索的相关反馈的卷积神经网络基于内容的图像检索系统，用于利用特征提取和相关性反馈的卷积神经网络
2. A Pseudo-relevance feedback framework combining relevance matching and semantic matching for information retrieval [J] . Junmei Wang, Min Pan, Tingting He, Information Processing & Management . 2020,第6期

机译：伪相关反馈框架与信息检索相关性匹配和语义匹配结合相关性匹配和语义匹配
3. 3D relevance feedback via multilevel relevance judgements [J] . D. Giorgi, P. Frosini, M. Spagnuolo, The Visual Computer . 2010,第10期

机译：通过多级相关性判断获得3D相关性反馈
4. Elicitation of term relevance feedback [C] . Diane Kelly, Xin Fu, PDiane Kelly, Annual international ACM SIGIR conference on Research and development in information retrieval;International ACM SIGIR conference on Research and development in information retrieval . 2006

机译：启发术语相关性反馈
5. Task dependent modulation of voice fundamental frequency responses elicited by perturbations in pitch of auditory feedback during English speech and sustained vowels. [D] . Bauer, Jay Joseph. 2004

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6. Relevance of long-lived CD8+ T effector memory cells for protective immunity elicited by heterologous prime-boost vaccination [O] . José R. Vasconcelos, Mariana R. Dominguez, Adriano F. Araújo, 2012

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7. Elicitation and use of relevance feedback information [O] . Vechtomova, O., Karamuftuoglu, M. 2006

机译：启发和使用相关反馈信息
8. Mining Specific and General Features in Both Positive and Negative Relevance Feedback. QUT E-Discovery Lab at the TREC'09 Relevance Feedback Track [R] . Li, Y., Tao, X., Algarni, A., 2009

机译：在正相关反馈和负相关反馈中挖掘特定和一般特征。在TREC'09相关反馈轨道上的QUT电子发现实验室

Elicitation and use of relevance feedback information

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