Chronological citation recommendation with time preference

Shutian Ma (), Heng Zhang (), Chengzhi Zhang () and Xiaozhong Liu ()
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Shutian Ma: Nanjing University of Science and Technology
Heng Zhang: Nanjing University of Science and Technology
Chengzhi Zhang: Nanjing University of Science and Technology
Xiaozhong Liu: Indiana University

Scientometrics, 2021, vol. 126, issue 4, No 12, 3010 pages

Abstract: Abstract Citation recommendation is an important task to assist scholars in finding candidate literature to cite. Traditional studies focus on static models of recommending citations, which do not explicitly distinguish differences between papers that are caused by temporal variations. Although, some researchers have investigated chronological citation recommendation by adding time related function or modeling textual topics dynamically. These solutions can hardly cope with function generalization or cold-start problems when there is no information for user profiling or there are isolated papers never being cited. With the rise and fall of science paradigms, scientific topics tend to change and evolve over time. People would have the time preference when citing papers, since most of the theoretical basis exist in classical readings that published in old time, while new techniques are proposed in more recent papers. To explore chronological citation recommendation, this paper wants to predict the time preference based on user queries, which is a probability distribution of citing papers published in different time slices. Then, we use this time preference to re-rank the initial citation list obtained by content-based filtering. Experimental results demonstrate that task performance can be further enhanced by time preference and it’s flexible to be added in other citation recommendation frameworks.

Keywords: Chronological citation recommendation; Time preference; Citation networks (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11192-021-03878-2

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