Apr 15, 2021 · We demonstrate our results on two real-world datasets and show that our model outperforms standard baseline methods.
To enhance the variational inference based optimization, the model is initialized at better starting points through the well known Metapath2Vec algorithm ...
Apr 15, 2021 · Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website.
Apr 19, 2021 · Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website. It is ...
Bibliographic details on Variational Inference for Category Recommendation in E-Commerce platforms.
Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website. Variational Inference.
Variational inference for category recommendation in e-commerce platforms. R Balasubramanian, V Mani, A Mathur, S Kumar, K Achan. arXiv preprint arXiv: ...
Ramasubramanian Balasubramanian's 3 research works with 2 citations, including: Variational Inference for Category Recommendation in E-Commerce platforms.
People also ask
Where is variational inference used?
Why do we use variational inference?
In this paper, inspired by the generalization and low-complexity of Stein's method, we offer a Stein Variational Recommendation System that reduces overfitting, ...
Variational Inference for Category Recommendation in E-Commerce platforms. ArXiv, 2021. Category recommendation for users on an e-Commerce platform is an ...