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The CDL: An Online Platform for Creating Community-based Digital Libraries

Published: 14 October 2023 Publication History

Abstract

We present the Community Digital Library (CDL), a novel and extensible platform for collaborative information seeking which enables any group of users to (1) describe and save webpages relevant to their shared interests, (2) share and search the saved webpages, and (3) discover content via recommendation. The CDL is free-to-use, can be accessed online, and the source code is publicly available.

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Ran Cheng and Julita Vassileva. 2005. Adaptive Reward Mechanism for Sustainable Online Learning Community. In AIED. 152–159.
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Rosta Farzan and Peter Brusilovsky. 2008. AnnotatEd: A Social Navigation and Annotation Service for Web-based Educational Resources. New Review of Hypermedia and Multimedia 14, 1 (2008), 3–32.
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Rosta Farzan and Peter Brusilovsky. 2018. Social navigation. Social information access (2018), 142–180.
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, 2019. Language Models are Unsupervised Multitask Learners. OpenAI blog 1, 8 (2019), 9.
[5]
Chirag Shah. 2014. Collaborative Information Seeking. Journal of the Association for Information Science and Technology 65, 2 (2014), 215–236.
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Diana Soltani, Matthew Mitsui, and Chirag Shah. 2019. Coagmento v3. 0: Rapid Prototyping of Web Search Experiments. In Proceedings of the 2019 conference on human information interaction and retrieval. 367–371.
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Julita Vassileva, Ran Cheng, Lingling Sun, and Weidong Han. 2004. Stimulating User Participation in a File-sharing P2P System Supporting University Classes. P2P Journal (2004), 14–23.
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Alan Wexelblat and Pattie Maes. 1999. Footprints: History-rich Tools for Information Foraging. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems. 270–277.

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Published In

cover image ACM Conferences
CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing
October 2023
596 pages
ISBN:9798400701290
DOI:10.1145/3584931
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 the author(s) 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].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2023

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Author Tags

  1. collaborative search
  2. information retrieval
  3. recommendation
  4. social bookmarking

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