Bridge the gap between network-based inference method and global ranking method in personal recommendation
arXiv:1507.04412v11 citations
AI Analysis
This work addresses a theoretical gap in recommendation systems, but it appears incremental as it focuses on proving a limit relationship without new empirical results.
The paper tackles the relationship between network-based inference and global ranking methods in personal recommendation, proving that the global ranking result is the limit of applying network-based inference infinitely.
In this paper, we study the relationship between the network-based inference method and global ranking method in personal recommendation. By some theoretical analysis, we prove that the recommendation result under the global ranking method is the limit of applying network-based inference method with infinity times.