Leveraging User Comments for Recommendation in E-Commerce
Research article (Applied Sciences, 2020) · cited 17× · AI/ML
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References
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Direct Wikidata claims
- [2] ↑ Leveraging User Comments for Recommendation in E-Commerce — instance of (P31): scholarly article. wikidata.org.
Class ancestry
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APA
4ort.xyz Knowledge Graph. (2026). Leveraging User Comments for Recommendation in E-Commerce. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-user-comments-for-recommendation-in-e-commerce
MLA
“Leveraging User Comments for Recommendation in E-Commerce.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-user-comments-for-recommendation-in-e-commerce.
BibTeX
@misc{4ortxyz_leveraging-user-comments-for-recommendation-in-e-commerce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging User Comments for Recommendation in E-Commerce}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-user-comments-for-recommendation-in-e-commerce}, note = {Accessed: 2026-05-24}}
LLM prompt
According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging User Comments for Recommendation in E-Commerce — https://4ort.xyz/entity/leveraging-user-comments-for-recommendation-in-e-commerce (retrieved 2026-05-24)
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