App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Community-prototype-based cross-domain recommendation method for zero-overlap users

Wei Zhuofan
Li Zhaoxing
Wang Minrui
School of Information Engineering, Yulin University, Shaanxi Yulin 719000, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0144

Abstract

To address the absence of shared users and the difficulty of establishing stable user-level mappings in zero-overlap cross-domain recommendation, the study developed a community-prototype semantic graph-based cross-domain recommendation method, termed Community–Prototype Hierarchical Cross-Domain Recommendation (CPH-CDR) . The method constructed intra-domain graphs from user–item interactions and type-level semantic relations, detected user communities with similar preferences, and introduced community-center nodes to aggregate group interests. It then learned bridging relations between source- and target-domain communities and employed shared interest prototypes as semantic hubs, allowing preference information to propagate along the heterogeneous path of “user–prototype–community–item”. Bridging weights and prototype assignments were jointly optimized using recommendation-task feedback. Experiments were conducted on three zero-overlap cross-domain tasks constructed from the Amazon review dataset and MovieLens 25M dataset. Results show that CPH-CDR outperforms GWCDR, UGUFDT, MCRPL, and NATR overall in terms of AUC, NDCG, Recall, Precision, and MAP. Its AUC exceeds that of the second-best model by 0.1328, 0.1299, and 0.0321 on the three tasks, respectively. Ablation experiments, recommendation-list-length sensitivity analysis, and prototype-path contribution analysis further confirm the effectiveness, stability, and interpretability of the method.

Foundation Support

陕西省科学计划项目(2026CY-YBXM-246)
榆林市科学计划项目(2025-CXY-115)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0144
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-08-28] Accepted Paper

Cite This Article

韦卓凡, 李赵兴, 王敏锐. (面向零重叠用户的社区原型跨域推荐方法 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0144. (Wei Zhuofan, Li Zhaoxing, Wang Minrui. Community-prototype-based cross-domain recommendation method for zero-overlap users [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0144. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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