demonstration

SearchX: Empowering Collaborative Search Research

Authors:

Sindunuraga Rikarno Putra,

Felipe Moraes,

Claudia HauffAuthors Info & Claims

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Pages 1265 - 1268

https://doi.org/10.1145/3209978.3210163

Published: 27 June 2018 Publication History

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Abstract

Collaborative search has been an active area of research within the IR community for many years. While for "single-user'' research a variety of up-to-date open-source search systems exist, few "multi-user'' search tools are open-source and even fewer are being maintained. In this paper, we present SearchX, an open-source collaborative search system we are currently developing-and using for our research. We designed and built SearchX using the modern Web stack (and are thus not siloed by an operating system or a particular browser type), enabling efficient research across platforms (Desktop, mobile) and with online users (e.g. crowdworkers). A video, describing the demo can be found at https: //www.youtube.com/watch?v=uf24m6p3vts.

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Saleema Amershi and Meredith Ringel Morris. 2008. CoSearch: a system for co-located collaborative web search Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1647--1656.

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Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, and Lynda Tamine. 2017. Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (Ecol'17). In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR '17). ACM, New York, NY, USA, 429--431.

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Robert Capra, Annie T. Chen, Katie Hawthorne, Jaime Arguello, Lee Shaw, and Gary Marchionini. 2012. Design and evaluation of a system to support collaborative search. Proceedings of the American Society for Information Science and Technology, Vol. 49, 1 (2012), 1--10. 0.1145/1518701.1518974

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Cited By

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Nasser HEl Zein Dda Costa Pereira CEscazut CTettamanzi A(2024)RULKKG: Estimating User’s Knowledge Gain in Search-as-Learning Using Knowledge GraphsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638331(364-369)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638331
Gong PLi JMao JHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language ModelsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657672(2729-2733)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657672
Wu ZDraws TCau FBarile FRieger ATintarev N(2023)Explaining Search Result Stances to Opinionated PeopleExplainable Artificial Intelligence10.1007/978-3-031-44067-0_29(573-596)Online publication date: 21-Oct-2023
https://doi.org/10.1007/978-3-031-44067-0_29
Show More Cited By

Index Terms

SearchX: Empowering Collaborative Search Research
1. Information systems
  1. Information retrieval
    1. Users and interactive retrieval
      1. Collaborative search

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Information & Contributors

Information

Published In

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

June 2018

1509 pages

ISBN:9781450356572

DOI:10.1145/3209978

General Chairs:
Kevyn Collins-Thompson
University of Michigan, United States
,
Qiaozhu Mei
University of Michigan, United States
,
Program Chairs:
Brian Davison
Lehigh University, United States
,
Yiqun Liu
Tsinghua University, China
,
Emine Yilmaz
University College London, United Kingdom

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2018

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Demonstration

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SIGIR '18

Sponsor:

SIGIR

SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval

July 8 - 12, 2018

MI, Ann Arbor, USA

Acceptance Rates

SIGIR '18 Paper Acceptance Rate 86 of 409 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Citations

Cited By

View all

Nasser HEl Zein Dda Costa Pereira CEscazut CTettamanzi A(2024)RULKKG: Estimating User’s Knowledge Gain in Search-as-Learning Using Knowledge GraphsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638331(364-369)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638331
Gong PLi JMao JHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language ModelsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657672(2729-2733)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657672
Wu ZDraws TCau FBarile FRieger ATintarev N(2023)Explaining Search Result Stances to Opinionated PeopleExplainable Artificial Intelligence10.1007/978-3-031-44067-0_29(573-596)Online publication date: 21-Oct-2023
https://doi.org/10.1007/978-3-031-44067-0_29
Avula SChoi BArguello J(2022)The Effects of System Initiative during Conversational Collaborative SearchProceedings of the ACM on Human-Computer Interaction10.1145/35129136:CSCW1(1-30)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512913
Roy NTorre MGadiraju UMaxwell DHauff C(2021)How Do Active Reading Strategies Affect Learning Outcomes in Web Search?Advances in Information Retrieval10.1007/978-3-030-72240-1_37(368-375)Online publication date: 30-Mar-2021
https://doi.org/10.1007/978-3-030-72240-1_37
Xu LZhou XGadiraju USalter ABarber JGadiraju U(2020)How Does Team Composition Affect Knowledge Gain of Users in Collaborative Web Search?Proceedings of the 31st ACM Conference on Hypertext and Social Media10.1145/3372923.3404784(91-100)Online publication date: 13-Jul-2020
https://dl.acm.org/doi/10.1145/3372923.3404784
Mayweg-Paus EZimmermann MLe NPinkwart N(2020)A review of technologies for collaborative online information seeking: On the contribution of collaborative argumentationEducation and Information Technologies10.1007/s10639-020-10345-7Online publication date: 30-Sep-2020
https://doi.org/10.1007/s10639-020-10345-7
Wang JZhang PZhang CSong DPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)SCSS-LIEProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331407(1309-1312)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331407
Avula SArguello JCapra RDodson JHuang YRadlinski FAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Embedding Search into a Conversational Platform to Support Collaborative SearchProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298928(15-23)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298928
Moraes FGrashoff KHauff C(2019)On the impact of group size on collaborative search effectivenessInformation Retrieval Journal10.1007/s10791-018-09350-9Online publication date: 9-Jan-2019
https://doi.org/10.1007/s10791-018-09350-9
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