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Submissions from 2021

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Script for Exploring Author Gender in Book Rating and Recommendation, Michael D. Ekstrand and Daniel Kluver

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Script for Estimating Error and Bias in Offline Evaluation Results, Mucun Tian and Michael D. Ekstrand

Submissions from 2019

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Data Set for An Empirical Analysis of Search Engines’ Response to Web Search Queries Associated with the Classroom Setting, Oghenemaro Anuyah, Ashlee Milton, Michael Green, and Maria Soledad Pera

Submissions from 2018

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Dataset for Looking for the Movie Seven or Sven from the Movie Frozen? A Multi-perspective Strategy for Recommending Queries for Children, Ion Madrazo Azpiazu, Nevena Dragovic, Oghenemaro Anuyah, and Maria Soledad Pera

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Scripts for Can We Leverage Rating Patterns from Traditional Users to Enhance Recommendations for Children?, Ion Madrazo Azpiazu, Michael Green, Oghenemaro Anuyah, and Maria Soledad Pera

Submissions from 2017

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Scripts for Recommender Response to Diversity and Popularity Bias in User Profiles, Sushma Channamsetty and Michael D. Ekstrand

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Scripts for The Demographics of Cool, Michael D. Ekstrand and Maria Soledad Pera

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Scripts for All The Cool Kids, How Do They Fit In?, Michael D. Ekstrand, Mucun Tian, Ion Madrazo Azpiazu, Jennifer D. Ekstrand, Oghenemaro Anuyah, David McNeill, and Maria Soledad Pera

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Scripts for Sturgeon and the Cool Kids: Problems with top-N Recommender Evaluation, Michael Ekstrand and Vaibhav Mahant