Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems

Research article (Electronic Commerce Research, 2024) · cited 11× · AI/ML
Press Enter · cited answer in seconds

Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems

Summary

Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems is a scholarly article[1].

Key Facts

  • Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems
MLA “Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems.
BibTeX @misc{4ortxyz_hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems — https://4ort.xyz/entity/hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/hybrid-self-attention-bilstm-and-incentive-learning-based-collaborative-filtering-for-e-commerce-recommendation-systems · Last refreshed: