Report on the Second Workshop on Supporting Complex Search Tasks

Author:

Koolen Marijn1,Kamps Jaap2,Bogers Toine3,Belkin Nicholas4,Kelly Diane5,Yilmaz Emine6

Affiliation:

1. Huygens ING/KNAW, Netherlands

2. University of Amsterdam, Netherlands

3. Aalborg University Copenhagen, Denmark

4. Rutgers University, NJ, USA

5. University of Tennessee Knoxville, TN, USA

6. University College London, UK

Abstract

There is broad consensus in the field of IR that search is complex in many use cases and applications, both on the Web and in domain-specific collections, and both in our professional and in our daily life. Yet our understanding of complex search tasks, in comparison to simple look up tasks, is fragmented at best. The workshop addressed many open research questions: What are the obvious use cases and applications of complex search? What are essential features of work tasks and search tasks to take into account? And how do these evolve over time? With a multitude of information, varying from introductory to specialized, and from authoritative to speculative or opinionated, when should which sources of information be shown? How does the information seeking process evolve and what are relevant differences between different stages? With complex task and search process management, blending searching, browsing, and recommendations, and supporting exploratory search to sensemaking and analytics, UI and UX design pose an overconstrained challenge. How do we know that our approach is any good? Supporting complex search tasks requires new collaborations across the whole field of IR, and the proposed workshop brought together a diverse group of researchers to work together on one of the greatest challenges of our field. The workshop featured three main elements. First, two keynotes, one on the complexity of meaningful interactive IR evaluation by Mark Hall and one on the types of search complexity encountered in real-world applications by Jussi Karlgren. Second, a lively boaster and poster session in which seven contributed papers were presented. Third, three breakout groups discussed concrete ideas on: (1) search context and tasks, (2) search process, and (3) evaluation of complex search tasks. There was an general feeling that the discussion made progress, and built new connections between related strands of research in IR

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Reference13 articles.

1. CEUR Workshop Proceedings;Gäde M.,2015

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Semantic Information Retrieval on Medical Texts;ACM Computing Surveys;2022-09-30

2. Task Intelligence for Search and Recommendation;Synthesis Lectures on Information Concepts, Retrieval, and Services;2021-06-09

3. Qute: Query by Text Search for Time Series Data;Advances in Intelligent Systems and Computing;2020-11-01

4. From XML Retrieval to Semantic Search and Beyond;Information Retrieval Evaluation in a Changing World;2019

5. First International Workshop on Professional Search (ProfS2018);The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval;2018-06-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3