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Recommending scientific articles using citeulike

Published: 23 October 2008 Publication History

Abstract

We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.

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A. Capocci and G. Caldarelli. Folksonomies and Clustering in the Collaborative System CiteULike. eprint arXiv: 0710.2835, 2007.
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  • (2024)Extraction of Meta-Data for Recommendation Using Keyword MappingIEEE Access10.1109/ACCESS.2024.343037512(103647-103659)Online publication date: 2024
  • (2024)Collaborative Filtering and Content-Based SystemsRecommender Systems: Algorithms and their Applications10.1007/978-981-97-0538-2_3(19-30)Online publication date: 12-Jun-2024
  • (2023)Paper Recommendation via Correlation Pattern Mining and Attention MechanismJournal of Sensors10.1155/2023/33113632023:1Online publication date: 18-Oct-2023
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cover image ACM Conferences
RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems
October 2008
348 pages
ISBN:9781605580937
DOI:10.1145/1454008
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2008

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Author Tags

  1. collaborative filtering
  2. recommender systems
  3. social bookmarking
  4. test collection

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RecSys08: ACM Conference on Recommender Systems
October 23 - 25, 2008
Lausanne, Switzerland

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

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  • (2024)Extraction of Meta-Data for Recommendation Using Keyword MappingIEEE Access10.1109/ACCESS.2024.343037512(103647-103659)Online publication date: 2024
  • (2024)Collaborative Filtering and Content-Based SystemsRecommender Systems: Algorithms and their Applications10.1007/978-981-97-0538-2_3(19-30)Online publication date: 12-Jun-2024
  • (2023)Paper Recommendation via Correlation Pattern Mining and Attention MechanismJournal of Sensors10.1155/2023/33113632023:1Online publication date: 18-Oct-2023
  • (2023)Privacy preserving cold-start recommendation for out-of-matrix users via content basketsInternational Journal of Data Science and Analytics10.1007/s41060-023-00388-716:2(237-253)Online publication date: 12-Mar-2023
  • (2023)Biases in scholarly recommender systems: impact, prevalence, and mitigationScientometrics10.1007/s11192-023-04636-2128:5(2703-2736)Online publication date: 21-Mar-2023
  • (2022)RecSys Pertaining to Research Information with Collaborative Filtering Methods: Characteristics and ChallengesPublications10.3390/publications1002001710:2(17)Online publication date: 2-Apr-2022
  • (2022)Group-Oriented Paper Recommendation With Probabilistic Matrix Factorization and Evidential Reasoning in Scientific Social NetworkIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2021.307242652:6(3757-3771)Online publication date: Jun-2022
  • (2022)Context-Related Recommendation Algorithm Based on Graph Embedding2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)10.1109/PRAI55851.2022.9904220(1130-1135)Online publication date: 19-Aug-2022
  • (2022)Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00322(3426-3438)Online publication date: May-2022
  • (2022)Scientific paper recommendation systems: a literature review of recent publicationsInternational Journal on Digital Libraries10.1007/s00799-022-00339-w23:4(335-369)Online publication date: 5-Oct-2022
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