Utilizing microblog data in a topic modelling framework for scientific articles’ recommendation

Arjumand Younus, Muhammad Atif Qureshi, Pikakshi Manchanda, Colm O’riordan, Gabriella Pasi

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

Abstract

Researchers are actively turning to Twitter in an attempt to network with other researchers, and stay updated with respect to various scientific breakthroughs. Young and novice researchers have also found Twitter as a valuable source of information in terms of staying up-to-date with various developments in their field of research. In this paper, we present an approach to utilize this valuable information source within a topic modeling framework to suggest scientific articles of interest to novice researchers. The approach in addition to producing effective recommendations for scientific articles alleviates the cold-start problem and is a step towards elimination of the gap between Twitter and science.

Original languageEnglish
Title of host publicationSocial Informatics - 6th International Conference, SocInfo 2014, Proceedings
EditorsLuca Maria Aiello, Daniel McFarland
PublisherSpringer Verlag
Pages384-395
Number of pages12
ISBN (Electronic)9783319137339
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain
Duration: 11 Nov 201413 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8851
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Social Informatics, SocInfo 2014
Country/TerritorySpain
CityBarcelona
Period11/11/1413/11/14

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