BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
Summary
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction is a scholarly article[1].
Key Facts
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction's instance of is recorded as scholarly article[2].
References
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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). BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/bert4ctr-an-efficient-framework-to-combine-pre-trained-language-model-with-non-textual-features-for-ctr-prediction
MLA“BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bert4ctr-an-efficient-framework-to-combine-pre-trained-language-model-with-non-textual-features-for-ctr-prediction.
BibTeX@misc{4ortxyz_bert4ctr-an-efficient-framework-to-combine-pre-trained-language-model-with-non-textual-features-for-ctr-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/bert4ctr-an-efficient-framework-to-combine-pre-trained-language-model-with-non-textual-features-for-ctr-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction — https://4ort.xyz/entity/bert4ctr-an-efficient-framework-to-combine-pre-trained-language-model-with-non-textual-features-for-ctr-prediction (retrieved 2026-05-24)
