Further Improvement on Two-Way Cooperative Collaborative Filtering Approaches for the Binary Market Basket Data
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조회 1,509회 작성일 21-10-22 16:13
조회 1,509회 작성일 21-10-22 16:13
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| Journal | Applied Sciences, 11(19), 8977. |
|---|---|
| Name | W.-Y. Hwang and J.-S. Lee |
| Year | 2021 |
Two-way cooperative collaborative filtering (CF) has been known to be crucial for binary market basket data. We propose an improved two-way logistic regression approach, a Pearson correlation-based score, a random forests (RF) R-square-based score, an RF Pearson correlation-based score, and a CF scheme based on the RF R-square-based score. The main idea is to utilize as much predictive information as possible within the two-way prediction in order to cope with the cold-start problem. All of the proposed methods work better than the existing two-way cooperative CF approach in terms of the experimental results.