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An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering

Research article (Arabian Journal for Science and Engineering, 2020) · cited 36× · AI/ML
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An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering

Summary

An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering is a scholarly article[1].

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  • An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering's instance of is recorded as scholarly article[2].

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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). An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-model-for-jaccard-coefficient-to-increase-the-performance-of-collaborative-filtering
MLA “An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-model-for-jaccard-coefficient-to-increase-the-performance-of-collaborative-filtering.
BibTeX @misc{4ortxyz_an-effective-model-for-jaccard-coefficient-to-increase-the-performance-of-collaborative-filtering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-model-for-jaccard-coefficient-to-increase-the-performance-of-collaborative-filtering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering — https://4ort.xyz/entity/an-effective-model-for-jaccard-coefficient-to-increase-the-performance-of-collaborative-filtering (retrieved 2026-05-24)

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