Aug 28, 2018 · In this paper, we propose superhighway construction, an alternative explicit relation-enrichment procedure, to improve recommendations by enhancing cross- ...

Aug 28, 2018 · ABSTRACT. Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred.

Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred from related domains.

Bibliographic details on Superhighway: Bypass Data Sparsity in Cross-Domain CF.

In modern e-commerce, cross-domain CF is proposed to alleviate data sparsity in the target domain by leveraging information from related source domains.

Superhighway: Bypass Data Sparsity in Cross-Domain CF. KH Lai, TH Wang, HY Chi, Y Chen, MF Tsai, CJ Wang. arXiv preprint arXiv:1808.09784, 2018. 2018. The ...

Superhighway: Bypass Data Sparsity in Cross-Domain CF. KH Lai, TH Wang, HY Chi, Y Chen, MF Tsai, CJ Wang. arXiv preprint arXiv:1808.09784, 2018. 2018. Il ...

Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred from related domains.

Specifically, assuming partially overlapped items (users), superhighway bypasses multi-hop inter-domain paths between cross-domain users (items, respectively) ...

Data sparsity is a major issue in recommender systems, especially in the presence of novel users or items, or when user drift exists. This paper reviews recent ...