DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Wook-Yeon | ko |
dc.contributor.author | Lee, Jong-Seok | ko |
dc.date.accessioned | 2024-09-06T02:00:11Z | - |
dc.date.available | 2024-09-06T02:00:11Z | - |
dc.date.created | 2024-09-04 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.citation | APPLIED SCIENCES-BASEL, v.11, no.19 | - |
dc.identifier.uri | http://hdl.handle.net/10203/322763 | - |
dc.description.abstract | 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.</p> | - |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.title | Further Improvement on Two-Way Cooperative Collaborative Filtering Approaches for the Binary Market Basket Data | - |
dc.type | Article | - |
dc.identifier.wosid | 000710268300001 | - |
dc.identifier.scopusid | 2-s2.0-85115853756 | - |
dc.type.rims | ART | - |
dc.citation.volume | 11 | - |
dc.citation.issue | 19 | - |
dc.citation.publicationname | APPLIED SCIENCES-BASEL | - |
dc.identifier.doi | 10.3390/app11198977 | - |
dc.contributor.localauthor | Lee, Jong-Seok | - |
dc.contributor.nonIdAuthor | Hwang, Wook-Yeon | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | recommender systems | - |
dc.subject.keywordAuthor | market basket data | - |
dc.subject.keywordAuthor | cold-start problem | - |
dc.subject.keywordAuthor | high dimensionality | - |
dc.subject.keywordAuthor | two-way collaborative filtering | - |
dc.subject.keywordPlus | COLD-START PROBLEM | - |
dc.subject.keywordPlus | RECOMMENDER SYSTEMS | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
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