12 citations · 25 across the 9 of their papers we have counts for
11 papers
Witgenstein's influence on artificial intelligence
Piero Molino, Jacopo Tagliabue
We examine how much of the contemporary progress in artificial intelligence (and, specifically, in natural language processing), can be, more or less directly, traced back to the s…
On The Plurality of Graphs
Nicole Fitzgerald, Jacopo Tagliabue
We conduct a series of experiments designed to empirically demonstrate the effects of varying the structural features of a multi-agent emergent communication game framework. Specif…
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…
Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration
Jacopo Tagliabue, Reuben Cohn-Gordon
Information retrieval (IR) systems need to constantly update their knowledge as target objects and user queries change over time. Due to the power-law nature of linguistic data, le…
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
Ciro Greco, Andrea Polonioli, Jacopo Tagliabue
The claims that big data holds the key to enterprise successes and that Artificial Intelligence is going to replace humanity have become increasingly more popular over the past few…
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories
Jacopo Tagliabue, Lucas Lacasa, Ciro Greco +2
Knowing if a user is a buyer or window shopper solely based on clickstream data is of crucial importance for e-commerce platforms seeking to implement real-time accurate NBA (next…
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Luca Bigon, Giovanni Cassani, Ciro Greco +4
Knowing if a user is a buyer vs window shopper solely based on clickstream data is of crucial importance for ecommerce platforms seeking to implement real-time accurate NBA (next b…
Crossover phenomenon in the performance of an Internet search engine
Lucas Lacasa, Jacopo Tagliabue, Andrew Berdahl
In this work we explore the ability of the Google search engine to find results for random N-letter strings. These random strings, dense over the set of possible N-letter words, ad…