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Fairness among New Items in Cold Start Recommender Systems
Research article (Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021) · cited 74× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fairness among New Items in Cold Start Recommender Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/fairness-among-new-items-in-cold-start-recommender-systems
MLA“Fairness among New Items in Cold Start Recommender Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fairness-among-new-items-in-cold-start-recommender-systems.
BibTeX@misc{4ortxyz_fairness-among-new-items-in-cold-start-recommender-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fairness among New Items in Cold Start Recommender Systems}}, year = {2026}, url = {https://4ort.xyz/entity/fairness-among-new-items-in-cold-start-recommender-systems}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fairness among New Items in Cold Start Recommender Systems — https://4ort.xyz/entity/fairness-among-new-items-in-cold-start-recommender-systems (retrieved 2026-05-24)