short-paper

Community-based Cyberreading for Information Understanding

Authors:

Zhuoren Jiang,

Xiaozhong Liu,

Liangcai Gao,

Zhi TangAuthors Info & Claims

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Pages 789 - 792

https://doi.org/10.1145/2911451.2914744

Published: 07 July 2016 Publication History

Get Access

Abstract

Although the content in scientific publications is increasingly challenging, it is necessary to investigate another important problem, that of scientific information understanding. For this proposed problem, we investigate novel methods to assist scholars (readers) to better understand scientific publications by enabling physical and virtual collaboration. For physical collaboration, an algorithm will group readers together based on their profiles and reading behavior, and will enable the cyberreading collaboration within a online reading group. For virtual collaboration, instead of pushing readers to communicate with others, we cluster readers based on their estimated information needs. For each cluster, a learning to rank model will be generated to recommend readers' communitized resources (i.e., videos, slides, and wikis) to help them understand the target publication.

References

[1]

Alan R Dennis, Kelly O McNamara, Stacy Morrone, and Joshua Plaskoff. Improving learning with etextbooks. In Proceedings of the 48th Hawaii International Conference on System Sciences, pages 5253--5259, 2015.

Digital Library

Google Scholar

[2]

Francesco Gullo, Giovanni Ponti, and Andrea Tagarelli. Clustering uncertain data via k-medoids. In Scalable Uncertainty Management, pages 229--242. Springer, 2008.

Digital Library

Google Scholar

[3]

Tristan E Johnson, Thomas N Archibald, and Gershon Tenenbaum. Individual and team annotation effects on students' reading comprehension, critical thinking, and meta-cognitive skills. Computers in human behavior, 26(6):1496--1507, 2010.

Digital Library

Google Scholar

[4]

Xiaozhong Liu. Generating metadata for cyberlearning resources through information retrieval and meta-search. Journal of the American Society for Information Science and Technology, 64(4):771--786, 2013.

Crossref

Google Scholar

[5]

Xiaozhong Liu and Han Jia. Answering academic questions for education by recommending cyberlearning resources. Journal of the American Society for Information Science and Technology, 64(8):1707--1722, 2013.

Crossref

Google Scholar

[6]

Xiaozhong Liu, Zhuoren Jiang, and Liangcai Gao. Scientific information understanding via open educational resources (OER). In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 645--654. ACM, 2015.

Digital Library

Google Scholar

[7]

Donald Metzler and W Bruce Croft. Linear feature-based models for information retrieval. Information Retrieval, 10(3):257--274, 2007.

Digital Library

Google Scholar

[8]

Kamal Nigam, John Lafferty, and Andrew McCallum. Using maximum entropy for text classification. In IJCAI-99 workshop on machine learning for information filtering, volume 1, pages 61--67, 1999.

Google Scholar

[9]

Elena Novak, Rim Razzouk, and Tristan E Johnson. The educational use of social annotation tools in higher education: A literature review. The Internet and Higher Education, 15(1):39--49, 2012.

Crossref

Google Scholar

[10]

Roy D Pea. The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. The journal of the learning sciences, 13(3):423--451, 2004.

Google Scholar

[11]

Addison Su, Stephen JH Yang, Wu-Yuin Hwang, and Jia Zhang. A web 2.0-based collaborative annotation system for enhancing knowledge sharing in collaborative learning environments. Computers & Education, 55(2):752--766, 2010.

Digital Library

Google Scholar

[12]

Y. Sun, J. Han, X. Yan, P. S. Yu, and T. Wu. PathSim: Meta path-based top-k similarity search in heterogeneous information networks. In Proc. 2011 Int. Conf. Very Large Data Bases (VLDB'11), Seattle, WA, 2011.

Digital Library

Google Scholar

Cited By

View all

Jiang ZGao LYuan KGao ZTang ZLiu XCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Mathematics Content Understanding for Cyberlearning via Formula Evolution MapProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271694(37-46)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271694

Index Terms

Community-based Cyberreading for Information Understanding
1. Information systems
  1. Information retrieval
    1. Users and interactive retrieval
  2. World Wide Web
    1. Web searching and information discovery
      1. Personalization

Recommendations

Open educational resource based information understanding via pdf document interaction
WebSci '14: Proceedings of the 2014 ACM conference on Web science

While classical information retrieval and recommendation can provide users effective information access, for scientific documents, i.e., scientific publications, however, understanding the content of scientific publications remains daunting, i.e., ...
Scientific Information Understanding via Open Educational Resources (OER)
SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

Scientific publication retrieval/recommendation has been investigated in the past decade. However, to the best of our knowledge, few efforts have been made to help junior scholars and graduate students to understand and consume the essence of those ...
On the bibliometric nature of a foreseeable relationship: open access and education
Abstract
The open access (OA) publication model is evolving and gaining support in the international scientific community. However, there is no evidence regarding the open access pathways being used in educational research or regarding the relationship ...

Comments

Information & Contributors

Information

Published In

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

July 2016

1296 pages

ISBN:9781450340694

DOI:10.1145/2911451

General Chairs:
Raffaele Perego
ISTI-CNR, Italy
,
Fabrizio Sebastiani
Qatar Computing Research Institute, HBKU, Qatar
,
Program Chairs:
Javed Aslam
Northeastern University, US
,
Ian Ruthven
University of Strathclyde, UK
,
Justin Zobel
University of Melbourne, Australia

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Funding Sources

National Natural Science Foundation of China

Conference

SIGIR '16

Sponsor:

SIGIR

SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval

July 17 - 21, 2016

Pisa, Italy

Acceptance Rates

SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;

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

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
169
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 01 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Jiang ZGao LYuan KGao ZTang ZLiu XCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Mathematics Content Understanding for Cyberlearning via Formula Evolution MapProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271694(37-46)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271694

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Open educational resource based information understanding via pdf document interaction

Scientific Information Understanding via Open Educational Resources (OER)

On the bibliometric nature of a foreseeable relationship: open access and education

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations