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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CITATION STYLE
Raamkumar, A. S., Foo, S., & Pang, N. (2016). Proposing a scientific paper retrieval and recommender framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10075 LNCS, pp. 92–97). Springer Verlag. https://doi.org/10.1007/978-3-319-49304-6_12
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