Cited by 355Recommender Systems and TechniquesInformation Retrieval and Search BehaviorWeb Data Mining and Analysis

The DOI matches its Crossref record.

Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

Open access
Cantador, Ivan, Brusilovsky, Peter, Kuflik, Tsvi·2011·Proceedings of the fifth ACM conference on Recommender systems

Abstract

This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in RecSys '11 Proceedings of the fifth ACM conference on Recommender systems, http://dx.doi.org/10.1145/2043932.2044016.

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Registry

Crossref · 10.1145/2043932.2044016

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We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Lastfm dataset contains 1.2K users and 4.6K music items.

    “1.2K users on 4.6K music items, and has been specifically utilized by FLOW (Cai et al., 2024) to demonstrate its capabilities in the music domain.”

    From A Survey on LLM-powered Agents for Recommender Systems (2025) · cites this paper as Cantador et al., 2011

  • The Lastfm dataset comprises 73.5K interactions from 1.2K users on 4.6K music items and has been specifically utilized by FLOW to demonstrate its capabilities in the music domain.

    “The Lastfm dataset (Cantador et al., 2011), focusing on music recommendation, comprises 73.5K interactions from 1.2K users on 4.6K music items, and has been specifically utilized by FLOW (Cai et al., 2024) to demonstrate its capabilities in the music domain.”

    From A Survey on LLM-powered Agents for Recommender Systems (2025) · cites this paper as Cantador et al., 2011

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Metadata

Authors
Cantador, I., Brusilovsky, P., & Kuflik, T.
Affiliations
  • Universidad Autonoma de Madrid, Madrid, Spain
  • University of Pittsburgh (US)
  • University of Haifa (IL)
Venue
Proceedings of the fifth ACM conference on Recommender systems
Publisher
ACM
Published
2011-10-23
Pages
387-388
OpenAlex
W4251597219
Cited by
355
References
0
Citations by year
2026: 32 · 2025: 47 · 2024: 32 · 2023: 32 · 2022: 30 · 2021: 29 · 2020: 18 · 2019: 17 · 2018: 17 · 2017: 16 · 2016: 23 · 2015: 18 · 2014: 21 · 2013: 16 · 2012: 7
FWCI
10.57
Type
conference paper
Language
en
Open access
Locations
  • ACM Conference on Recommender Systems (RecSys) (publishedVersion)
  • Hispana (publishedVersion)
  • Biblos-e Archivo (Universidad Autónoma de Madrid) (acceptedVersion)
  • Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
Keywords
information heterogeneity, data fusion, recommender systems, heterogeneous information

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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