Abstract
In this paper, we propose a framework that combines aspects of user role modeling and user-interface features with retrieval and recommender systems components. The framework is based on emergent themes identified from participants feedback in a user evaluation study conducted with a prototype assistive system. 119 researchers participated in the study for evaluating the prototype system that provides recommendations for two literature review and one manuscript writing tasks.
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Rec4LRW user guide http://goo.gl/dxUCuk.
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Sesagiri Raamkumar, A., Foo, S., Pang, N. (2016). Proposing a Scientific Paper Retrieval and Recommender Framework. In: Morishima, A., Rauber, A., Liew, C. (eds) Digital Libraries: Knowledge, Information, and Data in an Open Access Society. ICADL 2016. Lecture Notes in Computer Science(), vol 10075. Springer, Cham. https://doi.org/10.1007/978-3-319-49304-6_12
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DOI: https://doi.org/10.1007/978-3-319-49304-6_12
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Online ISBN: 978-3-319-49304-6
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