| Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems
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2020 |
Krafft, Tobias D. |
| Effect of Debiasing on Information Retrieval
|
2020 |
Gerritse, Emma J. |
| What Kind of Content Are You Prone to Tweet? Multi-topic Preference Model for Tweeters
|
2020 |
Recalde, Lorena |
| Enriching Product Catalogs with User Opinions
|
2020 |
Melo, Tiago de |
| Facets of Fairness in Search and Recommendation
|
2020 |
Verma, Sahil |
| bias goggles: Exploring the Bias of Web Domains Through the Eyes of Users
|
2020 |
Konstantakis, Giannis |
| Beyond Accuracy in Link Prediction
|
2020 |
Sanz-Cruzado, Javier |
| A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity
|
2020 |
Ramos, Guilherme |
| The Impact of Foursquare Checkins on Users’ Emotions on Twitter
|
2020 |
Falavarjani, Seyed Amin Mirlohi |
| Recommendation Filtering à la carte for Intelligent Tutoring Systems
|
2020 |
Silva, Wesley |
| Matchmaking Under Fairness Constraints: A Speed Dating Case Study
|
2020 |
Paraschakis, Dimitris |
| Data Pipelines for Personalized Exploration of Rated Datasets
|
2020 |
Amer-Yahia, Sihem |
| Venue Suggestion Using Social-Centric Scores
|
2020 |
Aliannejadi, Mohammad |
| Mitigating Gender Bias in Machine Learning Data Sets
|
2020 |
Leavy, Susan |
| Improving News Personalization Through Search Logs
|
2020 |
Bai, Xiao |
| Analyzing the Interaction of Users with News Articles to Create Personalization Services
|
2020 |
Celi, Alessandro |
| Using String-Comparison Measures to Improve and Evaluate Collaborative Filtering Recommender Systems
|
2020 |
Pascoal, Luiz Mario Lustosa |
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