Ludovico Boratto
Orcid: 0000-0002-6053-3015Affiliations:
- University of Cagliari, Italy
According to our database1,
Ludovico Boratto
authored at least 132 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on orcid.org
-
on d-nb.info
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Proceedings of the Advances in Information Retrieval, 2024
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024).
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the Advances in Information Retrieval, 2024
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation.
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the Advances in Information Retrieval, 2024
2023
Bias characterization, assessment, and mitigation in location-based recommender systems.
Data Min. Knowl. Discov., September, 2023
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality.
Knowl. Based Syst., 2023
Inf. Process. Manag., 2023
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph.
CoRR, 2023
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.
CoRR, 2023
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023).
Proceedings of the Advances in Information Retrieval, 2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation.
Proceedings of the Advances in Information Retrieval, 2023
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U).
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023
Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks.
Proceedings of the Discussion Papers, 2023
2022
<i>XRecSys</i>: A framework for path reasoning quality in explainable recommendation.
Softw. Impacts, December, 2022
User Model. User Adapt. Interact., 2022
ACM Trans. Knowl. Discov. Data, 2022
ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization.
SIGWEB Newsl., 2022
Mach. Learn., 2022
Inf. Process. Manag., 2022
Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation.
Inf. Process. Manag., 2022
Future Gener. Comput. Syst., 2022
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations.
Int. J. Artif. Intell. Educ., 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022).
Proceedings of the Advances in Information Retrieval, 2022
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations.
Proceedings of the Advances in Information Retrieval, 2022
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Artificial Intelligence Research and Development, 2022
2021
Interplay between upsampling and regularization for provider fairness in recommender systems.
User Model. User Adapt. Interact., 2021
Integrating Collaboration and Leadership in Conversational Group Recommender Systems.
ACM Trans. Inf. Syst., 2021
ACM J. Data Inf. Qual., 2021
Connecting user and item perspectives in popularity debiasing for collaborative recommendation.
Inf. Process. Manag., 2021
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the Advances in Information Retrieval, 2021
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021).
Proceedings of the Advances in Information Retrieval, 2021
From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook.
User Model. User Adapt. Interact., 2020
Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020).
SIGIR Forum, 2020
Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems.
J. Intell. Inf. Syst., 2020
On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms.
Inf. Process. Manag., 2020
Cogn. Syst. Res., 2020
A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020
Proceedings of the Advances in Information Retrieval, 2020
2019
Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations.
IEEE Trans. Emerg. Top. Comput., 2019
Int. J. Hum. Comput. Stud., 2019
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses.
Proceedings of the Advances in Information Retrieval, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
2018
SIGIR Forum, 2018
A multi-biometric system for continuous student authentication in e-learning platforms.
Pattern Recognit. Lett., 2018
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system.
Inf. Syst. Frontiers, 2018
Inf. Syst. Frontiers, 2018
Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation.
Computer, 2018
BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018
Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018
Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users.
Proceedings of the Advances in Information Retrieval, 2018
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018).
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
2017
SIGIR Forum, 2017
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes.
Pers. Ubiquitous Comput., 2017
The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle.
Pervasive Mob. Comput., 2017
Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study.
Online Soc. Networks Media, 2017
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System.
J. Comput., 2017
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios.
Inf. Sci., 2017
Semantics-aware content-based recommender systems: Design and architecture guidelines.
Neurocomputing, 2017
Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise.
Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017
Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS).
Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2017
Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), 2017
2016
Knowl. Based Syst., 2016
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system.
J. Intell. Inf. Syst., 2016
Future Internet, 2016
Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting.
Future Gener. Comput. Syst., 2016
Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering.
Future Gener. Comput. Syst., 2016
IEEE Intell. Syst., 2016
Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform.
Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016
Proceedings of the Human-Centered and Error-Resilient Systems Development, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy.
Proceedings of the Global Summit on Computer & Information Technology, 2016
Proceedings of the Global Summit on Computer & Information Technology, 2016
Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016
Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion.
Proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the eight ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016
Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges.
Proceedings of the Advances in Information Retrieval, 2016
2015
Int. J. Mach. Learn. Cybern., 2015
The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation.
J. Intell. Inf. Syst., 2015
Design Criteria to Model Groups in Big Data Scenarios: Algorithms and Best Practices.
Proceedings of the 1st International Workshop on Knowledge Discovery on the WEB, 2015
Multiple Behavioral Models: A Divide and Conquer Strategy to Fraud Detection in Financial Data Streams.
Proceedings of the KDIR 2015, 2015
A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
Modeling the Preferences of a Group of Users Detected by Clustering: a Group Recommendation Case-Study.
Proceedings of the 4th International Conference on Web Intelligence, 2014
Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System.
Proceedings of the ICEIS 2014, 2014
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System.
Proceedings of the Data Management Technologies and Applications, 2014
Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System.
Proceedings of the DATA 2014, 2014
2013
Using new communication technologies and social media interaction to improve the motivation of users to exercise.
Proceedings of the Second International Conference on Future Generation Communication Technologies (FGCT 2013), 2013
Linking Human-Computer Interaction with the Social Web: A web application to improve motivation in the exercising activity of users.
Proceedings of the IEEE 4th International Conference on Cognitive Infocommunications, 2013
2011
State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups.
Proceedings of the Information Retrieval and Mining in Distributed Environments, 2011
2010
Groups Identification and Individual Recommendations in Group Recommendation Algorithms.
Proceedings of the Workshop on the Practical Use of Recommender Systems, 2010
2009
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009