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DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation
Research article (Expert Systems with Applications, 2021) · cited 22× · AI/ML
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation
Summary
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation is a scholarly article[1].
Key Facts
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation'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). DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepassociate-a-deep-learning-model-exploring-sequential-influence-and-history-candidate-association-for-sequence-recomm
MLA“DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepassociate-a-deep-learning-model-exploring-sequential-influence-and-history-candidate-association-for-sequence-recomm.
BibTeX@misc{4ortxyz_deepassociate-a-deep-learning-model-exploring-sequential-influence-and-history-candidate-association-for-sequence-recomm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/deepassociate-a-deep-learning-model-exploring-sequential-influence-and-history-candidate-association-for-sequence-recomm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation — https://4ort.xyz/entity/deepassociate-a-deep-learning-model-exploring-sequential-influence-and-history-candidate-association-for-sequence-recomm (retrieved 2026-05-24)
