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Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. (arXiv:2206.13749v1 [cs.LG])
June 29, 2022, 1:12 a.m. | Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
cs.CL updates on arXiv.org arxiv.org
On e-commerce platforms, predicting if two products are compatible with each
other is an important functionality to achieve trustworthy product
recommendation and search experience for consumers. However, accurately
predicting product compatibility is difficult due to the heterogeneous product
data and the lack of manually curated training data. We study the problem of
discovering effective labeling rules that can enable weakly-supervised product
compatibility prediction. We develop AMRule, a multi-view rule discovery
framework that can (1) adaptively and iteratively discover novel rulers …
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