Scienstein : A Research Paper Recommender System

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Date
2009
Authors
Beel, Jöran
Hentschel, Christian
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Proceedings of the International Conference on Emerging Trends in Computing. - pp. 309-315
Abstract
This paper introduces Scienstein, the first hybrid research paper recommender system and a powerful alternative to currently used academic search engines. Scienstein improves the approach of the usually used keyword-based search by combining it with citation analysis, author analysis, source analysis, implicit ratings, explicit ratings and in addition, innovative and yet unused methods like the ‘Distance Similarity Index’ (DSI) and the ‘In-text Impact Factor’ (ItIF). Instead of entering just keywords, a user may provide entire documents, including reference lists as input and make implicit and explicit ratings to improve recommendations. With citation, author and source analysis, similar and related documents are easily determinable. All these techniques are managed by a user-friendly GUI.
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Subject (DDC)
004 Computer Science
Keywords
DSI, Recommendation, Recommender Systems, Research paper
Conference
ICETiC’09 : International Conference on Emerging Trends in Computing, Jan 8, 2009 - Jan 10, 2009, Virudhunagar, India
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Cite This
ISO 690GIPP, Bela, Jöran BEEL, Christian HENTSCHEL, 2009. Scienstein : A Research Paper Recommender System. ICETiC’09 : International Conference on Emerging Trends in Computing. Virudhunagar, India, Jan 8, 2009 - Jan 10, 2009. In: Proceedings of the International Conference on Emerging Trends in Computing, pp. 309-315
BibTex
@inproceedings{Gipp2009Scien-31365,
  year={2009},
  title={Scienstein : A Research Paper Recommender System},
  url={http://www.sciplore.org/wp-content/papercite-data/pdf/gipp09.pdf},
  booktitle={Proceedings of the International Conference on Emerging Trends in Computing},
  pages={309--315},
  author={Gipp, Bela and Beel, Jöran and Hentschel, Christian}
}
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http://www.sciplore.org/wp-content/papercite-data/pdf/gipp09.pdf
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2015-07-06
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