Design and Implementation of Relevance Assessments Using Crowdsourcing-Reference-Cited by-同舟云学术

Design and Implementation of Relevance Assessments Using Crowdsourcing

Published:2011 Issue: Volume: Page:153-164
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Alonso Omar,Baeza-Yates Ricardo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20161-5_16

Reference15 articles.

1. von Ahn, L.: Games with a purpose. IEEE Computer 39(6), 92–94 (2006)

2. Alonso, O., Mizzaro, S.: Can we get rid of TREC Assessors? Using Mechanical Turk for Relevance Assessment. In: SIGIR Workshop Future of IR Evaluation (2009)

3. Alonso, O., Schenkel, R., Theobald, M.: Crowdsourcing Assessments for XML Ranked Retrieval. In: 32 ECIR, Milton Keynes, UK (2010)

4. Alonso, O., Baeza-Yates, R.: An Analysis of Crowdsourcing Relevance Assessments in Spanish. In: CERI 2010, Madrid, Spain (2010)

5. Bradburn, N., Sudman, S., Wansink, B.: Asking Questions: The Definitive Guide to Questionnaire Design. Josey-Bass (2004)

Cited by 68 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. Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing;Proceedings of the ACM Collective Intelligence Conference;2024-06-27

2. Elucidating the determinants of crowdsourcing adoption for organisation value creation;International Journal of Organizational Analysis;2024-05-27

3. Understanding and Predicting User Satisfaction with Conversational Recommender Systems;ACM Transactions on Information Systems;2023-11-08

4. Perspectives on Large Language Models for Relevance Judgment;Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval;2023-08-09

5. On the role of human and machine metadata in relevance judgment tasks;Information Processing & Management;2023-03