LaSER: Language-specific event recommendation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Sara Abdollahi
  • Simon Gottschalk
  • Elena Demidova

Organisationseinheiten

Externe Organisationen

  • Rheinische Friedrich-Wilhelms-Universität Bonn
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer100759
Seitenumfang17
FachzeitschriftJournal of Web Semantics
Jahrgang75
Frühes Online-Datum17 Sept. 2022
PublikationsstatusVeröffentlicht - Jan. 2023

Abstract

While societal events often impact people worldwide, a significant fraction of events has a local focus that primarily affects specific language communities. Examples include national elections, the development of the Coronavirus pandemic in different countries, and local film festivals such as the César Awards in France and the Moscow International Film Festival in Russia. However, existing entity recommendation approaches do not sufficiently address the language context of recommendation. This article introduces the novel task of language-specific event recommendation, which aims to recommend events relevant to the user query in the language-specific context. This task can support essential information retrieval activities, including web navigation and exploratory search, considering the language context of user information needs. We propose LaSER, a novel approach toward language-specific event recommendation. LaSER blends the language-specific latent representations (embeddings) of entities and events and spatio-temporal event features in a learning to rank model. This model is trained on publicly available Wikipedia Clickstream data. The results of our user study demonstrate that LaSER outperforms state-of-the-art recommendation baselines by up to 33 percentage points in MAP@5 concerning the language-specific relevance of recommended events.

ASJC Scopus Sachgebiete

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LaSER: Language-specific event recommendation. / Abdollahi, Sara; Gottschalk, Simon; Demidova, Elena.
in: Journal of Web Semantics, Jahrgang 75, 100759, 01.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Abdollahi, S., Gottschalk, S., & Demidova, E. (2023). LaSER: Language-specific event recommendation. Journal of Web Semantics, 75, Artikel 100759. https://doi.org/10.1016/j.websem.2022.100759
Abdollahi S, Gottschalk S, Demidova E. LaSER: Language-specific event recommendation. Journal of Web Semantics. 2023 Jan;75:100759. Epub 2022 Sep 17. doi: 10.1016/j.websem.2022.100759
Abdollahi, Sara ; Gottschalk, Simon ; Demidova, Elena. / LaSER : Language-specific event recommendation. in: Journal of Web Semantics. 2023 ; Jahrgang 75.
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