| Download | - View accepted manuscript: A Hybrid, Multi-dimensional Recommender for Journal Articles in a Scientific Digital Library (PDF, 511 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1109/WI-IATW.2007.29 |
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| Author | Search for: Vellino, Andre1; Search for: Zeber, D. |
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| Affiliation | - National Research Council of Canada. NRC Canada Institute for Scientific and Technical Information
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| Format | Text, Article |
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| Conference | 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, Workshops, Silicon Valley, CA, USA, November 2-5, 2007 |
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| Abstract | A recommender system for scientific scholarly articles that is both hybrid (content and collaborative filtering based) and multi-dimensional (across metadata categories such as subject hierarchies, journal clusters and keyphrases) can improve scientists' ability to discover new knowledge from a digital library. Providing users with an interface which enables the filtering of recommendations across these multiple dimensions can simultaneously provide explanations for the recommendations and increase the user's control over how the recommender behaves. |
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| Publication date | 2007 |
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| In | |
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| Language | English |
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| NPARC number | 8898528 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 639a27d9-3f7f-4e52-aa87-d3ccb254a1bd |
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| Record created | 2009-04-22 |
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| Record modified | 2020-05-10 |
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