The Efficacy of Google's Suggested Keywords and Phrases in Query Expansion Based on "The Least effort Principle" and "Cognitive Load Theory"

Categories, Contexts and Relations in Knowledge Organization Pub Date : 1900-01-01 DOI:10.5771/9783956504402-378

R. Fattahi, M. Parirokh, Mohammd Hosien Dayyani, Abdolrasoul Khosravi

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Abstract

Purpose: One of the most effective ways to improve relevance performance in IR systems including Web search engines is to provide their users with tools facilitating query expansion. Search engines such as Google provide users with keyword suggest tools. The aim of this research was to investigate Users reactions regarding the efficacy of Google's suggested keywords/queries in query expansion based on "The Least effort Principle" and "Cognitive load Theory" from users‟ view Design/Methodology/Approach: Through a mixed method approach quantitative and qualitative data were collected from 60 postgraduate students at Ferdowsi University of Mashhad, Iran (Humanities & social Science Basic and engineering science) using four different instruments (questionnaire, thinking aloud technique, query logs, and interviews). Findings: Among others the „relation between suggested keywords and the information need‟ (mean rate of 3.53 out of four) was considered the most important by searchers in selecting suggested keywords for query expansion. Also the „relation between suggested

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基于“最小努力原则”和“认知负荷理论”的Google关键词和短语搜索扩展效果

目的:提高包括Web搜索引擎在内的IR系统的相关性性能的最有效方法之一是为其用户提供方便查询扩展的工具。谷歌等搜索引擎为用户提供关键字建议工具。本研究旨在探讨用户对b谷歌基于“最小努力原则”和“认知负荷理论”在查询扩展中提出的关键词/查询的效果的反应，从用户的角度设计/方法/方法:通过混合方法，从伊朗马什哈德费尔多西大学(人文与社会科学基础科学和工程科学)的60名研究生中收集了定量和定性数据，使用了四种不同的工具(问卷调查、大声思考技术、查询日志和访谈)。调查结果:其中，“建议关键词与信息需求之间的关系”(平均比率为3.53 / 4)被搜索者认为是选择建议关键词进行查询扩展的最重要因素。还有“关系”

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Categories, Contexts and Relations in Knowledge Organization

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