KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-022-01789-z.pdf
Reference51 articles.
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3. Zhang F, Yuan NJ, Lian D, Xie X, Ma W (2016) Collaborative knowledge base embedding for recommender systems. In: Krishnapuram B, Shah M, Smola AJ, Aggarwal CC, Shen D, Rastogi R (eds) Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 353–362
4. Wu Z, Li C, Cao J, Ge Y (2020) On scalability of association-rule-based recommendation: A unified distributed-computing framework. ACM Trans Web 14(3):13–11321
5. Pan Z, Cai F, Ling, Y., de Rijke, M (2020) An intent-guided collaborative machine for session-based recommendation. In: Huang J, Chang Y, Cheng X, Kamps J, Murdock V, Wen J, Liu Y (eds) Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval, SIGIR 2020, pp 1833–1836
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