Context-Aware Helpfulness Prediction for Online Product Reviews
Published in Asia Information Retrieval Symposium, 2019
This paper proposes a deep learning model for predicting the helpfulness of online product reviews. It combines convolutional neural networks with a context-aware encoding mechanism to capture long-range textual dependencies and outperforms previous approaches on annotated review data.
Recommended citation: Iyiola E. Olatunji, Xin Li, and Wai Lam. (2019). "Context-Aware Helpfulness Prediction for Online Product Reviews." Asia Information Retrieval Symposium.
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