Much of the world’s new knowledge is now largely captured in digital form and archived within a digital library system. However, these trends lead to information overload, where users find an overwhelmingly large number of publications that match their search queries but are largely irrelevant to their latent information needs. Therefore, we develop methods for recommending scholarly papers relevant to each researcher’s information needs. Furthermore, among researchers, junior researchers need to broaden their range of research interests to acquire knowledge, while senior researchers seek to apply their knowledge towards other areas to lead interdisciplinary research. Therefore, we have also developed methods for recommending scholarly papers that are serendipitous to each researcher’s research interests.
The 3th China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018.
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