Query2Prod2Vec Grounded Word Embeddings for eCommerce

2 April 2021

Papers citing "Query2Prod2Vec Grounded Word Embeddings for eCommerce"

10 / 10 papers shown

Title
Reasonable Scale Machine Learning with Open-Source Metaflow Jacopo Tagliabue Hugo Bowne-Anderson Ville Tuulos Savin Goyal R. Cledat David Berg AIFin AI4CE 35 6 0 21 Mar 2023
Contrastive language and vision learning of general fashion concepts P. Chia Giuseppe Attanasio Federico Bianchi Silvia Terragni A. Magalhães Diogo Gonçalves C. Greco Jacopo Tagliabue CLIP 23 42 0 08 Apr 2022
"Does it come in black?" CLIP-like models are zero-shot recommenders P. Chia Jacopo Tagliabue Federico Bianchi C. Greco Diogo Gonçalves VLM HAI 29 7 0 05 Apr 2022
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction Federico Bianchi C. Greco Jacopo Tagliabue 40 9 0 18 Apr 2021
BERT Goes Shopping: Comparing Distributional Models for Product Representations Federico Bianchi Bingqing Yu Jacopo Tagliabue 28 15 0 17 Dec 2020
Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning Bingqing Yu Jacopo Tagliabue 10 1 0 15 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 468 0 17 Mar 2020
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization Bingqing Yu Jacopo Tagliabue C. Greco Federico Bianchi 61 10 0 11 Mar 2020
What the [MASK]? Making Sense of Language-Specific BERT Models Debora Nozza Federico Bianchi Dirk Hovy 92 106 0 05 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 317 31,297 0 16 Jan 2013