demonstration

CourseRank: a social system for course planning

Authors:

Zahra Mohammadi Zadeh,

Hector Garcia-MolinaAuthors Info & Claims

SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

Pages 1107 - 1110

https://doi.org/10.1145/1559845.1559994

Published: 29 June 2009 Publication History

Get Access

Abstract

Special-purpose social sites can offer valuable services to well-defined, closed, communities, e.g., in a university or in a corporation. The purpose of this demo is to show the challenges, special features and potential of a focused social system in action through CourseRank, a course evaluation and planning social system.

References

[1]

C. Brooks and N. Montanez. Improved annotation of the blogosphere via autotagging and hierarchical clustering. In WWW, 2006.

Digital Library

Google Scholar

[2]

G. Koutrika, B. Bercovitz, R. Ikeda, F. Kaliszan, H. Liou, Z. Mohammadi Zadeh, and H. Garcia-Molina. Social systems: Can we do more than just poke friends? In CIDR, 2009.

Google Scholar

[3]

X. Li, L. Guo, and Y. Zhao. Tag-based social interest discovery. In WWW, 2008.

Digital Library

Google Scholar

[4]

D. Millen, J. Feinberg, and B. Kerr. Dogear: Social bookmarking in the enterprise. In CHI, 2006.

Digital Library

Google Scholar

Cited By

View all

Ma BYang TRen B(2024)A Survey on Explainable Course Recommendation SystemsDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-60012-8_17(273-287)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60012-8_17
Singh AAhuja SKumar J(2023)Courselect: Motivation-Centric Course Recommendation for University StudentsDesign in the Era of Industry 4.0, Volume 310.1007/978-981-99-0428-0_81(997-1007)Online publication date: 25-Jul-2023
https://doi.org/10.1007/978-981-99-0428-0_81
Nikookar SSakharkar PSmagh BAmer-Yahia SRoy S(2022)Guided Task Planning Under Complex Constraints2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00067(833-845)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00067
Show More Cited By

Index Terms

CourseRank: a social system for course planning

Recommendations

Social sites research through CourseRank

Social sites such as FaceBook, Orkut, Flickr, MySpace and many others have become immensely popular. At these sites, users share their resources (e.g., photos, profiles, blogs) and learn from each other. On the other hand, higher education applications ...
Flexible recommendations over rich data
RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems

CourseRank is a course planning tool aimed at helping students at Stanford. Recommendations comprise an integral part of it. However, implementing existing recommendation methods leads to fixed recommendations that cannot adapt to each particular ...
FlexRecs: expressing and combining flexible recommendations
SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recommendation paradigms cumbersome. In this paper, we propose FlexRecs, a framework ...

Comments

Information & Contributors

Information

Published In

SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

June 2009

1168 pages

ISBN:9781605585512

DOI:10.1145/1559845

Editors:
Carsten Binnig,
Benoit Dageville,
General Chairs:
Uğur Çetintemel
Brown University, USA
,
Stan Zdonik
Brown University, USA
,
Program Chair:
Donald Kossmann
ETH Zurich, Switzerland

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: 29 June 2009

Check for updates

Author Tags

Qualifiers

Demonstration

Conference

SIGMOD/PODS '09

Sponsor:

SIGMOD/PODS '09: International Conference on Management of Data

June 29 - July 2, 2009

Rhode Island, Providence, USA

Acceptance Rates

Overall Acceptance Rate 785 of 4,003 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

20
Total Citations
View Citations
532
Total Downloads

Downloads (Last 12 months)8
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ma BYang TRen B(2024)A Survey on Explainable Course Recommendation SystemsDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-60012-8_17(273-287)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60012-8_17
Singh AAhuja SKumar J(2023)Courselect: Motivation-Centric Course Recommendation for University StudentsDesign in the Era of Industry 4.0, Volume 310.1007/978-981-99-0428-0_81(997-1007)Online publication date: 25-Jul-2023
https://doi.org/10.1007/978-981-99-0428-0_81
Nikookar SSakharkar PSmagh BAmer-Yahia SRoy S(2022)Guided Task Planning Under Complex Constraints2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00067(833-845)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00067
Fazeli SRajabi ELezcano LDrachsler HSloep P(2016)Supporting Users of Open Online Courses with Recommendations: An Algorithmic Study2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2016.119(423-427)Online publication date: Jul-2016
https://doi.org/10.1109/ICALT.2016.119
Drachsler HVerbert KSantos OManouselis N(2015)Panorama of Recommender Systems to Support LearningRecommender Systems Handbook10.1007/978-1-4899-7637-6_12(421-451)Online publication date: 2015
https://doi.org/10.1007/978-1-4899-7637-6_12
Li AChai J(2014)Evaluation of constrained preference recommendationInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-14029518:3(157-165)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.3233/KES-140295
Li FPan TJagadish HDyreson CLi FÖzsu M(2014)Schema-free SQLProceedings of the 2014 ACM SIGMOD International Conference on Management of Data10.1145/2588555.2588571(1051-1062)Online publication date: 18-Jun-2014
https://dl.acm.org/doi/10.1145/2588555.2588571
Capuano NGaeta MRitrovato PSalerno S(2014)Elicitation of latent learning needs through learning goals recommendationComputers in Human Behavior10.1016/j.chb.2013.07.03630(663-673)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.chb.2013.07.036
Capuano NIannone RGaeta MMiranda SRitrovato PSalerno S(2013)A Recommender System for Learning GoalsInformation Systems, E-learning, and Knowledge Management Research10.1007/978-3-642-35879-1_64(515-521)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35879-1_64
Okoye IMaull KFoster JSumner TSantos OBoticario J(2012)Educational Recommendation in an Informal Intentional Learning SystemEducational Recommender Systems and Technologies10.4018/978-1-61350-489-5.ch001(1-23)Online publication date: 2012
https://doi.org/10.4018/978-1-61350-489-5.ch001
Show More Cited By

View Options

Get Access

Login options

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

Cited By

Index Terms

Recommendations

Social sites research through CourseRank

Flexible recommendations over rich data

FlexRecs: expressing and combining flexible recommendations

Comments

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Social sites research through CourseRank

Flexible recommendations over rich data

FlexRecs: expressing and combining flexible recommendations

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations