The Effectiveness of Quantum Random Walk Model in Recommender Systems
Author:
Affiliation:
1. Kyoto University, Kyoto, Japan
2. Osaka Seikei University, Osaka, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3578337.3605141
Reference43 articles.
1. NON-UNIFORM MIXING OF QUANTUM WALK ON CYCLES
2. Lu Bai , Yuhang Jiao , Luca Rossi , Lixin Cui , Jian Cheng , and Edwin R . Hancock . 2019 . Graph Convolutional Neural Networks based on Quantum Vertex Saliency . arXiv preprint arXiv:1809.01090 (2019). Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, and Edwin R. Hancock. 2019. Graph Convolutional Neural Networks based on Quantum Vertex Saliency. arXiv preprint arXiv:1809.01090 (2019).
3. Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph
4. The anatomy of a large-scale hypertextual Web search engine
5. The use of MMR, diversity-based reranking for reordering documents and producing summaries
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