Please use this identifier to cite or link to this item: https://doi.org/10.25540/BBCH-QTT8
Title: Scholarly Paper Recommendation Datasets
Creators: Kazunari Sugiyama 
Min-Yen Kan 
Subject: Digital library
Information retrieval
Recommendation
Citation analysis
Collaborative filtering
DOI: doi:10.25540/BBCH-QTT8
Description: 

Much of the world's new knowledge today is now largely captured in digital form and archived within a digital library system. However, these trends lead to information overload, where users find an overwhelmingly large number of publications that match their search queries but are largely irrelevant to their latent information needs. We address this problem by providing recommendation results by using latent information about the user's research interests that exists in their publication list (see the papers in publications below for further details). We have released experimental datasets used in our papers. If you are interested in recommendation of scholarly papers, please try our dataset for your experiments!

You can also use our datasets (especially, candidate papers to recommend) for other purposes such as classification, clustering, trend analysis, and so on.

Related Publications: 10635/146023
10635/146024
10635/78134
10635/43304
10635/40291
Citation: When using this data, please cite the original publication and also the dataset.
  • Kazunari Sugiyama and Min-Yen Kan: "A Comprehensive Evaluation of Scholarly Paper Recommendation Using Potential Citation Papers,'' International Journal on Digital Libraries, Springer, Vol. 16, Issue 2, pp.91-109, June 2015.
  • Kazunari Sugiyama and Min-Yen Kan: "Towards Higher Relevance and Serendipity in Scholarly Paper Recommendation" with Martin Vesely as coordinator, ACM SIGWEB Newsletter, Winter, Article No. 4, 2015.
  • Kazunari Sugiyama and Min-Yen Kan: "Exploiting Potential Citation Papers in Scholarly Paper Recommendation," The 13th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2013), pp.153-162, Indianapolis, Indiana, USA, July 22-26, 2013.
  • Kazunari Sugiyama, Min-Yen Kan: "Serendipitous Recommendation for Scholarly Papers Considering Relations Among Researchers,'' The 11th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2011), pp.307-310, Ottawa, Canada, June 13-17, 2011.
  • Kazunari Sugiyama, Min-Yen Kan: "Scholarly Paper Recommendation via User's Recent Research Interests," The 10th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2010), pp.29-38, Gold Coast, Queensland, Australia, June 21-25, 2010.
  • Kazunari Sugiyama, Min-Yen Kan (2013). Scholarly Paper Recommendation Datasets. ScholarBank@NUS Repository. [Dataset]. https://doi.org/10.25540/BBCH-QTT8
License: Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:Staff Dataset

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Dataset1_20100825_SchPaperRecData.zipDataset 16.33 MBZIP

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Dataset2_20131106_SchPaperRecData.zipDataset 2264.88 MBZIP

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README_Dataset1.md3.71 kBMD

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README_Dataset2.md3.87 kBMD

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