Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms

Author:

Shi Zheyuan Ryan1ORCID,Zhi Jiayin2ORCID,Zeng Siqi3ORCID,Zhang Zhicheng2ORCID,Kapoor Ameesh4ORCID,Hudson Sean4ORCID,Shen Hong2ORCID,Fang Fei2ORCID

Affiliation:

1. University of Pittsburgh, Pittsburgh, PA, USA

2. Carnegie Mellon University, Pittsburgh, PA, USA

3. University of Illinois Urbana Champaign, Champaign, IL, USA

4. 412 Food Rescue, Pittsburgh, PA, USA

Funder

Sloan Research Fellowship

NSF (National Science Foundation)

CMU CyLab Seed Grant

PIT-UN

CMU Block Center for Technology and Society Seed Fund Award

Publisher

ACM

Reference38 articles.

1. Martin Aleksandrov, Haris Aziz, Serge Gaspers, and Toby Walsh. 2015. Online fair division: analysing a food bank problem. In Proceedings of the 24th International Conference on Artificial Intelligence. 2540--2546.

2. Alejandro Barredo Arrieta, Natalia D'iaz-Rodr'iguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garc'ia, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion , Vol. 58 (2020), 82--115.

3. Virginia Braun and Victoria Clarke. 2012. Thematic analysis. In APA handbook of research methods in psychology, Vol. 2. Research designs: Quantitative, qualitative, neuropsychological, and biological, , Harris Cooper, Paul M Camic, Debra L Long, A T Panter, David Rindskopf, and Kenneth J Sher (Eds.). American Psychological Association, 57--71.

4. Virginia Braun and Victoria Clarke. 2019. Reflecting on reflexive thematic analysis. Qualitative research in sport, exercise and health, Vol. 11, 4 (2019), 589--597.

5. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

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