Citolytics : A Link-based Recommender System for Wikipedia

dc.contributor.authorSchwarzer, Malte
dc.contributor.authorBreitinger, Corinna
dc.contributor.authorSchubotz, Moritz
dc.contributor.authorMeuschke, Norman
dc.contributor.authorGipp, Bela
dc.date.accessioned2018-04-10T09:22:32Z
dc.date.available2018-04-10T09:22:32Z
dc.date.issued2017eng
dc.description.abstractWe present Citolytics - a novel link-based recommendation system for Wikipedia articles. In a preliminary study, Citolytics achieved promising results compared to the widely used text-based approach of Apache Lucene’s MoreLikeThis (MLT). In this demo paper, we describe how we plan to integrate Citolytics into the Wikipedia infrastructure by using Elasticsearch and Apache Flink to serve recommendations for Wikipedia articles. Additionally, we propose a large-scale online evaluation design using the Wikipedia Android app. Working with Wikipedia data has several unique advantages. First, the availability of a very large user sample contributes to statistically significant results. Second, the openness of Wikipedia’s architecture allows making our source code and evaluation data public, thus benefiting other researchers. If link-based recommendations show promise in our online evaluation, a deployment of the presented system within Wikipedia would have a far-reaching impact on Wikipedia’s more than 30 million users.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1145/3109859.3109981eng
dc.identifier.ppn507944429
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/41995
dc.language.isoengeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectRecommender System; Link-based; Wikipedia; Co-Citation Proximity Analysis; Online Evaluationeng
dc.subject.ddc004eng
dc.titleCitolytics : A Link-based Recommender System for Wikipediaeng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Schwarzer2017Citol-41995,
  year={2017},
  doi={10.1145/3109859.3109981},
  title={Citolytics : A Link-based Recommender System for Wikipedia},
  isbn={978-1-4503-4652-8},
  publisher={ACM Press},
  address={New York, USA},
  booktitle={RecSys '17 : proceedings of the Eleventh ACM Conference on Recommender Systems : August 27-31 : 2017 : Como : Italy},
  pages={360--361},
  author={Schwarzer, Malte and Breitinger, Corinna and Schubotz, Moritz and Meuschke, Norman and Gipp, Bela}
}
kops.citation.iso690SCHWARZER, Malte, Corinna BREITINGER, Moritz SCHUBOTZ, Norman MEUSCHKE, Bela GIPP, 2017. Citolytics : A Link-based Recommender System for Wikipedia. RecSys '17 : 11th ACM Conference on Recommender Systems. Como, Italy, 27. Aug. 2017 - 31. Aug. 2017. In: RecSys '17 : proceedings of the Eleventh ACM Conference on Recommender Systems : August 27-31 : 2017 : Como : Italy. New York, USA: ACM Press, 2017, pp. 360-361. ISBN 978-1-4503-4652-8. Available under: doi: 10.1145/3109859.3109981deu
kops.citation.iso690SCHWARZER, Malte, Corinna BREITINGER, Moritz SCHUBOTZ, Norman MEUSCHKE, Bela GIPP, 2017. Citolytics : A Link-based Recommender System for Wikipedia. RecSys '17 : 11th ACM Conference on Recommender Systems. Como, Italy, Aug 27, 2017 - Aug 31, 2017. In: RecSys '17 : proceedings of the Eleventh ACM Conference on Recommender Systems : August 27-31 : 2017 : Como : Italy. New York, USA: ACM Press, 2017, pp. 360-361. ISBN 978-1-4503-4652-8. Available under: doi: 10.1145/3109859.3109981eng
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