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Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation

Research article (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023) · cited 17× · AI/ML
academia openalex:W4367191003
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Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation

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Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation is a scholarly article[1].

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  • Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/reformulating-ctr-prediction-learning-invariant-feature-interactions-for-recommendation
MLA “Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reformulating-ctr-prediction-learning-invariant-feature-interactions-for-recommendation.
BibTeX @misc{4ortxyz_reformulating-ctr-prediction-learning-invariant-feature-interactions-for-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/reformulating-ctr-prediction-learning-invariant-feature-interactions-for-recommendation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation — https://4ort.xyz/entity/reformulating-ctr-prediction-learning-invariant-feature-interactions-for-recommendation (retrieved 2026-05-24)

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