What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Ernesto Diaz-Aviles
  • Lucas Drumond
  • Zeno Gantner
  • Lars Schmidt-Thieme
  • Wolfgang Nejdl

Organisationseinheiten

Externe Organisationen

  • Stiftung Universität Hildesheim
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksCIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
Seiten1592-1596
Seitenumfang5
PublikationsstatusVeröffentlicht - 29 Okt. 2012
Veranstaltung21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, USA / Vereinigte Staaten
Dauer: 29 Okt. 20122 Nov. 2012

Publikationsreihe

NameACM International Conference Proceeding Series

Abstract

Users engaged in the Social Web increasingly rely upon continuous streams of Twitter messages (tweets) for real-time access to information and fresh knowledge about current affairs. However, given the deluge of tweets, it is a challenge for individuals to find relevant and appropriately ranked information. We propose to address this knowledge management problem by going beyond the general perspective of information finding in Twitter, that asks: "What is happening right now?", towards an individual user perspective, and ask: "What is interesting to me right now?" In this paper, we consider collaborative filtering as an online ranking problem and present RMFO, a method that creates, in real-time, user-specific rankings for a set of tweets based on individual preferences that are inferred from the user's past system interactions. Experiments on the 476 million Twitter tweets dataset show that our online approach largely outperforms recommendations based on Twitter's global trend and Weighted Regularized Matrix Factorization (WRMF), a highly competitive state-of-the-art Collaborative Filtering technique, demonstrating the efficacy of our approach.

ASJC Scopus Sachgebiete

Zitieren

What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter. / Diaz-Aviles, Ernesto; Drumond, Lucas; Gantner, Zeno et al.
CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. 2012. S. 1592-1596 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Diaz-Aviles, E, Drumond, L, Gantner, Z, Schmidt-Thieme, L & Nejdl, W 2012, What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter. in CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. ACM International Conference Proceeding Series, S. 1592-1596, 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, Maui, HI, USA / Vereinigte Staaten, 29 Okt. 2012. https://doi.org/10.1145/2396761.2398479
Diaz-Aviles, E., Drumond, L., Gantner, Z., Schmidt-Thieme, L., & Nejdl, W. (2012). What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter. In CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management (S. 1592-1596). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2396761.2398479
Diaz-Aviles E, Drumond L, Gantner Z, Schmidt-Thieme L, Nejdl W. What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter. in CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. 2012. S. 1592-1596. (ACM International Conference Proceeding Series). doi: 10.1145/2396761.2398479
Diaz-Aviles, Ernesto ; Drumond, Lucas ; Gantner, Zeno et al. / What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter. CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. 2012. S. 1592-1596 (ACM International Conference Proceeding Series).
Download
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abstract = "Users engaged in the Social Web increasingly rely upon continuous streams of Twitter messages (tweets) for real-time access to information and fresh knowledge about current affairs. However, given the deluge of tweets, it is a challenge for individuals to find relevant and appropriately ranked information. We propose to address this knowledge management problem by going beyond the general perspective of information finding in Twitter, that asks: {"}What is happening right now?{"}, towards an individual user perspective, and ask: {"}What is interesting to me right now?{"} In this paper, we consider collaborative filtering as an online ranking problem and present RMFO, a method that creates, in real-time, user-specific rankings for a set of tweets based on individual preferences that are inferred from the user's past system interactions. Experiments on the 476 million Twitter tweets dataset show that our online approach largely outperforms recommendations based on Twitter's global trend and Weighted Regularized Matrix Factorization (WRMF), a highly competitive state-of-the-art Collaborative Filtering technique, demonstrating the efficacy of our approach.",
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