Query assistant based on experience capitalization for information retrieval systems

机译：基于经验大写的查询助手，用于信息检索系统

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摘要

When searching information a first and crucial step is query formulation. However it is a difficult task for users. This paper introduces a new approach to help users formulating their queries. It proposes to benefit from past search experiences to help users when formulating queries. The user can incrementally construct his query visualizing how other users have carried out searches with the terms he uses currently. The visualization relies on a graph representing past queries related to the current query constructed. So, past experiences are shared to help users in formulating their own queries. An implementation illustrates the approach through a scenario of use.

机译：当搜索信息时，第一步也是至关重要的一步是查询表述。但是，这对于用户来说是一项艰巨的任务。本文介绍了一种新方法来帮助用户制定他们的查询。它建议从过去的搜索经验中受益，以帮助用户制定查询条件。用户可以逐步构造他的查询，以可视化其他用户如何使用他当前使用的术语进行搜索。可视化依赖于表示与构建的当前查询相关的过去查询的图形。因此，可以共享过去的经验，以帮助用户制定自己的查询。一个实现通过使用场景说明了该方法。

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来源
《Human System Interactions, 2009. HSI '09》|2009年|502-509|共8页
会议地点 Catania(IT);Catania(IT)
作者
Chevalier M.; Hubert G.;
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IRIT, Univ. of Toulouse, Toulouse;

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关键词
Internet; data visualisation; graph theory; information retrieval systems; query formulation; Web 2.0; graph representation; information retrieval system; query assistant design; query visualization; user experience capitalization; Assistant; Query log; Shared experience;

机译：互联网;数据可视化;图论;信息检索系统;查询表述; Web 2.0;图形表示;信息检索系统;查询助手设计;查询可视化;用户体验大写;助手;查询日志;共享经验;

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专利

1. Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics [J] . Anthony Bigot, Claude Chrisment, Taoufiq Dkaki, Information retrieval . 2011,第6期

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2. An efficient image retrieval system with structured query based feature selection and filtering initial level relevant images using range query [J] . Annrose J., Christopher C. Seldev Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic . 2018,第期

机译：一种有效的图像检索系统，具有基于结构化查询的特征选择和使用范围查询过滤初始级别相关图像
3. Survey on Multiple Query Content Based Image Retrieval Systems [J] . Abeer Al-Mohamade, Ouiem Bchir International Journal of Image Processing . 2019,第3期

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4. Query Assistant based on Experience Capitalization for Information Retrieval Systems [C] . M. Chevalier, G. Hubert Conference on Human System Interactions . 2009

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5. Semantic-Based Visual Information Retrieval Using Natural Language Queries [D] . Kovvuri, Rama. 2019

机译：基于语义的视觉信息使用自然语言查询检索
6. Content-based Microscopic Image Retrieval System for Multi-Image Queries [O] . Hatice Cinar Akakin, Metin N. Gurcan -1

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7. 1 Fusing Different Information Retrieval Systems According to Query- Topics – A Study Based on Correlation in Information Retrieval Systems and TREC Topics [O] . Anthony Bigot, Claude Chrisment, Taoufiq Dkaki, 2015

机译：1根据查询主题融合不同信息检索系统 - 基于信息检索系统与TREC主题相关性的研究

Query assistant based on experience capitalization for information retrieval systems

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