In this paper, rather than using reviews as an inputs to a recommender system, we focus on generating reviews as the model's output.
We show that this can model can be used to (a) generate plausible reviews and estimate nuanced reactions; (b) provide personalized rankings of existing reviews; ...
This paper focuses on generating reviews as the model's output, and shows that this can model can be used to generate plausible reviews and estimate nuanced ...
Aug 6, 2021 · Bibliographic details on Estimating Reactions and Recommending Products with Generative Models of Reviews.
Table of Contents · Abstract · 1 Introduction · 2 Related Work · 3 Proposed Method. 3.1 Collaborative Filtering with Reviews; 3.2 Generative Concatenative Network.
Estimating Reactions and Recommending Products with Generative Models of Reviews (2017) Ni, Jianmo and Lipton, Zachary C. and Vikram, Sharad and McAuley, ...
Review Generationでは、基本的にはseq2seqのinputのEmbeddingに対して、user latent factor, item latent factorをconcatするだけ。hidden stateに直接concatしないのは、 ...
Sep 20, 2024 · Generative models are a class of AI models that create new data instances by learning and sampling from statistical distributions.
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This article aims at providing a coherent and comprehensive survey on recent efforts on deep generative models for RS.
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Here, we review these deep learning-based explainable recommendation models that exploit textual side information, and analyze their strengths and weaknesses. .