A Query-oriented Approach for Relevance in Citation Networks

Luam C. Totti, Prasenjit Mitra, Mourad Ouzzani, Mohammed J. Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Finding a relevant set of publications for a given topic of interest is a challenging problem. We propose a two-stage query-dependent approach for retrieving relevant papers given a keyword-based query. In the first stage, we utilize content similarity to select an initial seed set of publications; we then augment them by citation links weighted with information such as citation context relevance and age-based attenuation. In the second stage, we construct a multi-layer graph that expands the publications subgraph by including links to the authors, venues, and keywords. This allows us to return recommendations that are both highly authoritative, and also textually related to the query. We show that our staged approach gives superior results on three different benchmark query sets.

Original languageEnglish
Title of host publicationWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages401-406
Number of pages6
ISBN (Electronic)9781450341448
DOIs
Publication statusPublished - 11 Apr 2016
Event25th International Conference on World Wide Web, WWW 2016 - Montreal, Canada
Duration: 11 May 201615 May 2016

Publication series

NameWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web

Conference

Conference25th International Conference on World Wide Web, WWW 2016
Country/TerritoryCanada
CityMontreal
Period11/05/1615/05/16

Keywords

  • citation network analysis
  • paper recommendation
  • relevance flow

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