Finding relevant papers based on citation relations

Yicong Liang, Qing Li, Tieyun Qian

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

55 Citations (Scopus)

Abstract

With the tremendous amount of research publications, recommending relevant papers to researchers to fulfill their information need becomes a significant problem. The major challenge to be tackled by our work is that given a target paper, how to effectively recommend a set of relevant papers from an existing citation network. In this paper, we propose a novel method to address the problem by incorporating various citation relations for a proper set of papers, which are more relevant but with a very limited size. The proposed method has two unique properties. Firstly, a metric called Local Relation Strength is defined to measure the dependency between cited and citing papers. Secondly, a model called Global Relation Strength is proposed to capture the relevance between two papers in the whole citation graph. We evaluate our proposed model on a real-world publication dataset and conduct an extensive comparison with the state-of-the-art baseline methods. The experimental results demonstrate that our method can have a promising improvement over the state-of-the-art techniques.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 12th International Conference,WAIM 2011, Proceedings
Pages403-414
Number of pages12
DOIs
Publication statusPublished - 19 Sep 2011
Externally publishedYes
Event12th International Conference on Web-Age Information Management, WAIM 2011 - Wuhan, China
Duration: 14 Sep 201116 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6897 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Web-Age Information Management, WAIM 2011
Country/TerritoryChina
CityWuhan
Period14/09/1116/09/11

Keywords

  • Citation Network
  • Citation Relation
  • Paper Relevance

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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