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Weighting strategies for a recommender system using item clustering based on genres

Research article (Expert Systems with Applications, 2017) · cited 68× · AI/ML
academia openalex:W2584813144
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Weighting strategies for a recommender system using item clustering based on genres

Summary

Weighting strategies for a recommender system using item clustering based on genres is a scholarly article[1].

Key Facts

  • Weighting strategies for a recommender system using item clustering based on genres's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Weighting strategies for a recommender system using item clustering based on genres. Retrieved May 24, 2026, from https://4ort.xyz/entity/weighting-strategies-for-a-recommender-system-using-item-clustering-based-on-genres
MLA “Weighting strategies for a recommender system using item clustering based on genres.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weighting-strategies-for-a-recommender-system-using-item-clustering-based-on-genres.
BibTeX @misc{4ortxyz_weighting-strategies-for-a-recommender-system-using-item-clustering-based-on-genres_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weighting strategies for a recommender system using item clustering based on genres}}, year = {2026}, url = {https://4ort.xyz/entity/weighting-strategies-for-a-recommender-system-using-item-clustering-based-on-genres}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Weighting strategies for a recommender system using item clustering based on genres — https://4ort.xyz/entity/weighting-strategies-for-a-recommender-system-using-item-clustering-based-on-genres (retrieved 2026-05-24)

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