Oct 15, 2020 � Experiments on five real-world datasets demonstrate that HTI outperforms state-of-the-art models by a large margin. Further case studies provide�...
Oct 28, 2020 � We propose a novel Hierarchical Text Interaction model (HTI) for rating prediction. In HTI, we propose to model low-level word semantics and high-level review�...
The hierarchy allows us to exploit textual features at different granularities. To further capture complex user–item interactions, we propose to exploit�...
To address those limitations, we propose a novel Hierarchical Text Interaction model (HTI) for rating prediction. In HTI, we propose to model low-level word�...
The goal of this work is to reveal prediction behaviors of a text classifier by detecting feature. (e.g., words or phrases) interactions with respect to model�...
Missing: rating | Show results with:rating
The model jointly learns user and product information from ratings and user review text in recommendation. First, a hierarchical bidirectional gated recurrent�...
Nov 20, 2023 � We propose a novel hierarchical gated sentiment-aware model for rating prediction in this paper. Specifically, to automatically suppress the influence of noisy�...
Review rating prediction of text reviews is a rapidly growing technology with a wide range of applications in natural language processing. However, most�...
Hierarchical text classification methods are devised to take advantage of the labels' organization to boost classification performance.
Sep 19, 2024 � The recommendation algorithm is a classic yet complex problem that requires understanding user interests to predict future behaviors across�...
