research
∙
08/10/2023
Building a serverless Data Lakehouse from spare parts
The recently proposed Data Lakehouse architecture is built on open file ...
share
research
∙
04/22/2023
(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis
As ecommerce continues growing, huge investments in ML and NLP for Infor...
research
∙
04/20/2023
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Recommender Systems today are still mostly evaluated in terms of accurac...
research
∙
04/14/2023
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments
EvalRS aims to bring together practitioners from industry and academia t...
research
∙
03/21/2023
Reasonable Scale Machine Learning with Open-Source Metaflow
As Machine Learning (ML) gains adoption across industries and new use ca...
research
∙
02/03/2023
Witgenstein's influence on artificial intelligence
We examine how much of the contemporary progress in artificial intellige...
research
∙
07/12/2022
EvalRS: a Rounded Evaluation of Recommender Systems
Much of the complexity of Recommender Systems (RSs) comes from the fact ...
research
∙
04/05/2022
"Does it come in black?" CLIP-like models are zero-shot recommenders
Product discovery is a crucial component for online shopping. However, i...
research
∙
11/18/2021
Beyond NDCG: behavioral testing of recommender systems with RecList
As with most Machine Learning systems, recommender systems are typically...
research
∙
10/24/2021
DAG Card is the new Model Card
With the progressive commoditization of modeling capabilities, data-cent...
research
∙
07/15/2021
You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack
We argue that immature data pipelines are preventing a large portion of ...
research
∙
07/07/2021
"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
Large eCommerce players introduced comparison tables as a new type of re...
research
∙
04/19/2021
SIGIR 2021 E-Commerce Workshop Data Challenge
The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge...
research
∙
04/18/2021
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction
We investigate grounded language learning through real-world data, by mo...
research
∙
04/02/2021
Query2Prod2Vec Grounded Word Embeddings for eCommerce
We present Query2Prod2Vec, a model that grounds lexical representations ...
research
∙
12/17/2020
BERT Goes Shopping: Comparing Distributional Models for Product Representations
Word embeddings (e.g., word2vec) have been applied successfully to eComm...
research
∙
10/15/2020
Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning
We tackle tag-based query refinement as a mobile-friendly alternative to...
research
∙
08/03/2020
On The Plurality of Graphs
We conduct a series of experiments designed to empirically demonstrate t...
research
∙
07/20/2020
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
This paper addresses the challenge of leveraging multiple embedding spac...
research
∙
07/20/2020
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution
We tackle the challenge of in-session attribution for on-site search eng...
research
∙
05/26/2020
How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead
In an attempt to balance precision and recall in the search page, leadin...
research
∙
03/11/2020
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization
We address the problem of personalizing query completion in a digital co...
research
∙
10/30/2019
Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration
Information retrieval (IR) systems need to constantly update their knowl...
research
∙
07/22/2019
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
The claims that big data holds the key to enterprise successes and that ...
research
∙
07/03/2019
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories
Knowing if a user is a buyer or window shopper solely based on clickstre...
research
∙
06/30/2019
