Search Results for author: Luca Belli

Found 8 papers, 1 papers with code

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems

no code implementations12 Sep 2022 Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli

Traditionally, recommender systems operate by returning a user a set of items, ranked in order of estimated relevance to that user.

Fairness Recommendation Systems

Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics

no code implementations3 Feb 2022 Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury

We show that we can use these metrics to identify content suggestion algorithms that contribute more strongly to skewed outcomes between users.

Causal Inference Struggles with Agency on Online Platforms

no code implementations19 Jul 2021 Smitha Milli, Luca Belli, Moritz Hardt

Our results suggest that observational studies derived from user self-selection are a poor alternative to randomized experimentation on online platforms.

Causal Inference

From Optimizing Engagement to Measuring Value

no code implementations21 Aug 2020 Smitha Milli, Luca Belli, Moritz Hardt

Most recommendation engines today are based on predicting user engagement, e. g. predicting whether a user will click on an item or not.

Assessing Demographic Bias in Named Entity Recognition

1 code implementation8 Aug 2020 Shubhanshu Mishra, Sijun He, Luca Belli

Named Entity Recognition (NER) is often the first step towards automated Knowledge Base (KB) generation from raw text.

named-entity-recognition Named Entity Recognition +1

Fighting Redundancy and Model Decay with Embeddings

no code implementations18 Sep 2018 Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal

Every day, hundreds of millions of new Tweets containing over 40 languages of ever-shifting vernacular flow through Twitter.

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