Unsupervised Qualitative Scoring for Binary Item Features
Abstract Binary features, such as categories, keywords, or tags, are widely used to describe product properties. However, these features are incomplete in that they do not contain several aspects of numerical information. The qualitative score of tags is widely used to describe which product is bett...
Main Authors: | Koji Ichikawa, Hiroshi Tamano |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-06-01
|
Series: | Data Science and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1007/s41019-020-00129-x |
Similar Items
-
Unsupervised Topic Labeling of Text Based on Wikipedia Categorization
by: Tetyana Loskutova
Published: (2019-08-01) -
Unsupervised Few-Shot Feature Learning via Self-Supervised Training
by: Zilong Ji, et al.
Published: (2020-10-01) -
Refining Pseudo Labels for Unsupervised Domain Adaptive Person Re-Identification
by: Limin Xia, et al.
Published: (2021-01-01) -
Unsupervised Hashing with Gradient Attention
by: Shaochen Jiang, et al.
Published: (2020-07-01) -
Unsupervised Learning of Spatiotemporal Features by Video Completion
by: Nallabolu, Adithya Reddy
Published: (2017)