Please use this identifier to cite or link to this item: https://doi.org/10.1145/1998076.1998133
Title: Serendipitous recommendation for scholarly papers considering relations among researchers
Authors: Sugiyama, K. 
Kan, M.-Y. 
Keywords: digital library
information retrieval
recommendation
serendipity
user modeling
Issue Date: 2011
Citation: Sugiyama, K., Kan, M.-Y. (2011). Serendipitous recommendation for scholarly papers considering relations among researchers. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries : 307-310. ScholarBank@NUS Repository. https://doi.org/10.1145/1998076.1998133
Related Datasets: 10635/146027
Abstract: Serendipity occurs when one finds an interesting discovery while searching for something else. While search engines seek to report work relevant to a targeted query, recommendation engines are particularly well-suited for serendipitous recommendations as such processes do not need to fulfill a targeted query. Junior researchers can use such an engine to broaden their horizon and learn new areas, while senior researchers can discover interdisciplinary frontiers to apply integrative research. We adapt a state-of-the-art scholarly paper recommendation system's user profile construction to make use of information drawn from 1) dissimilar users and 2) co-authors to specifically target serendipitous recommendation. © 2011 ACM.
Source Title: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
URI: http://scholarbank.nus.edu.sg/handle/10635/43304
ISBN: 9781450307444
ISSN: 15525996
DOI: 10.1145/1998076.1998133
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