Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers

Khadka, Anita; Cantador, Ivan and Fernandez, Miriam (2020). Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers. In: Semantic technologies for smart information sharing and web collaboration Conference Track at 29th IEEE WETICE Conference, 09-11 Jun 2021, Basque Coast - Bayonne, France.

URL: http://www.guide2research.com/conference/web2touch...

Abstract

With the continuous growth of scientific literature, discovering relevant academic papers for a researcher has become a challenging task, especially when looking for the latest, most recent papers. In this case, traditional collaborative filtering systems are ineffective, since they are unable to recommend items not previously seen, rated or cited. In this paper, we explore the potential of exploiting citation knowledge to provide a given user with relevant suggestions about recent scientific publications. A novel hybrid recommendation method that encapsulates such citation knowledge is proposed. Experimental results show improvements over baseline methods, evidencing benefits of using citation knowledge to recommend recently published papers in a personalised way. Moreover, as a result of our work, we also provide a unique dataset that, differently to previous corpora, contains detailed paper citation information.

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