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Combining novelty and popularity on personalised recommendations via user profile learning

Research article (Expert Systems with Applications, 2019) · cited 25× · AI/ML
academia openalex:W2998165418
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Combining novelty and popularity on personalised recommendations via user profile learning

Summary

Combining novelty and popularity on personalised recommendations via user profile learning is a scholarly article[1].

Key Facts

  • Combining novelty and popularity on personalised recommendations via user profile learning's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Combining novelty and popularity on personalised recommendations via user profile learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-novelty-and-popularity-on-personalised-recommendations-via-user-profile-learning
MLA “Combining novelty and popularity on personalised recommendations via user profile learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-novelty-and-popularity-on-personalised-recommendations-via-user-profile-learning.
BibTeX @misc{4ortxyz_combining-novelty-and-popularity-on-personalised-recommendations-via-user-profile-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining novelty and popularity on personalised recommendations via user profile learning}}, year = {2026}, url = {https://4ort.xyz/entity/combining-novelty-and-popularity-on-personalised-recommendations-via-user-profile-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining novelty and popularity on personalised recommendations via user profile learning — https://4ort.xyz/entity/combining-novelty-and-popularity-on-personalised-recommendations-via-user-profile-learning (retrieved 2026-05-24)

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