Search Results for author: Bingqing Yu

Found 12 papers, 5 papers with code

Query2Prod2Vec: Grounded Word Embeddings for eCommerce

1 code implementation NAACL 2021 Federico Bianchi, Jacopo Tagliabue, Bingqing Yu

We present Query2Prod2Vec, a model that grounds lexical representations for product search in product embeddings: in our model, meaning is a mapping between words and a latent space of products in a digital shop.

Word Embeddings

SIGIR 2021 E-Commerce Workshop Data Challenge

3 code implementations19 Apr 2021 Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani

The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations".

Query2Prod2Vec Grounded Word Embeddings for eCommerce

1 code implementation2 Apr 2021 Federico Bianchi, Jacopo Tagliabue, Bingqing Yu

We present Query2Prod2Vec, a model that grounds lexical representations for product search in product embeddings: in our model, meaning is a mapping between words and a latent space of products in a digital shop.

Word Embeddings

Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario

no code implementations20 Jul 2020 Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco

This paper addresses the challenge of leveraging multiple embedding spaces for multi-shop personalization, proving that zero-shot inference is possible by transferring shopping intent from one website to another without manual intervention.

How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead

1 code implementation WS 2020 Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu

In an attempt to balance precision and recall in the search page, leading digital shops have been effectively nudging users into select category facets as early as in the type-ahead suggestions.

"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization

no code implementations11 Mar 2020 Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi

We address the problem of personalizing query completion in a digital commerce setting, in which the bounce rate is typically high and recurring users are rare.

WAYLA - Generating Images from Eye Movements

no code implementations21 Nov 2017 Bingqing Yu, James J. Clark

The WAYLA approach is based on the Conditional Generative Adversarial Network (Conditional GAN) image-to-image translation technique of Isola et al. We consider two specific applications - the first, of reconstructing newspaper images from gaze heat maps, and the second, of detailed reconstruction of images containing only text.

Generative Adversarial Network Image Reconstruction +2

Personalization of Saliency Estimation

no code implementations21 Nov 2017 Bingqing Yu, James J. Clark

The discriminator also has the observer label as an input, which contributes to the personalization ability of our approach.

Saliency Prediction

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