12 citations · 33 across the 10 of their papers we have counts for
10 papers
"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
Patrick John Chia, Bingqing Yu, Jacopo Tagliabue
Large eCommerce players introduced comparison tables as a new type of recommendations. However, building comparisons at scale without pre-existing training/taxonomy data remains an…
Query2Prod2Vec Grounded Word Embeddings for eCommerce
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 spac…
BERT Goes Shopping: Comparing Distributional Models for Product Representations
Federico Bianchi, Bingqing Yu, Jacopo Tagliabue
Word embeddings (e.g., word2vec) have been applied successfully to eCommerce products through~\textit{prod2vec}. Inspired by the recent performance improvements on several NLP task…
Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning
Bingqing Yu, Jacopo Tagliabue
We tackle tag-based query refinement as a mobile-friendly alternative to standard facet search. We approach the inference challenge with reinforcement learning, and propose a deep…
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
Federico Bianchi, Jacopo Tagliabue, Bingqing Yu +2
This paper addresses the challenge of leveraging multiple embedding spaces for multi-shop personalization, proving that zero-shot inference is possible by transferring shopping int…
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution
Jacopo Tagliabue, Bingqing Yu
We tackle the challenge of in-session attribution for on-site search engines in eCommerce. We phrase the problem as a causal counterfactual inference, and contrast the approach wit…
How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead
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-ahea…
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization
Bingqing Yu, Jacopo Tagliabue, Ciro Greco +1
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. We focus on in-sess…
Personalization of Saliency Estimation
Bingqing Yu, James J. Clark
Most existing saliency models use low-level features or task descriptions when generating attention predictions. However, the link between observer characteristics and gaze pattern…
WAYLA - Generating Images from Eye Movements
Bingqing Yu, James J. Clark
We present a method for reconstructing images viewed by observers based only on their eye movements. By exploring the relationships between gaze patterns and image stimuli, the "Wh…