According to our database1, Ludovico Boratto authored at least 53 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Guest editorial: social media for personalization and search.
Inf. Retr. Journal, 2019
Advances in computer-human interaction for recommender systems (AdCHIReS).
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
Report on the Workshop on Social Aspects in Personalization And Search (SoAPS).
SIGIR Forum, 2018
A multi-biometric system for continuous student authentication in e-learning platforms.
Pattern Recognition Letters, 2018
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system.
Information Systems Frontiers, 2018
Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era.
Information Systems Frontiers, 2018
Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation.
IEEE 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
Predicting Workout Quality to Help Coaches Support Sportspeople.
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
Report on the Workshop on Social Media for Personalization And Search (SoMePeAS).
SIGIR Forum, 2017
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes.
Personal and Ubiquitous Computing, 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 and Mobile Computing, 2017
Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study.
Online Social Networks and Media, 2017
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System.
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.
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
Detection of Trending Topic Communities: Bridging Content Creators and Distributors.
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
Towards Chatbots as Recommendation Interfaces.
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
Using neural word embeddings to model user behavior and detect user segments.
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
Introduction to the Special Issue on Human-Computer Interaction and the Social Web.
Future Internet, 2016
Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting.
Future Generation Comp. Syst., 2016
Discovery and representation of the preferences of automatically detected groups: Exploiting the link between group modeling and clustering.
Future Generation Comp. Syst., 2016
Influence of Rating Prediction on Group Recommendation's Accuracy.
IEEE Intelligent Systems, 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
Group Recommender Systems.
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
Keep the Beat: Audio Guidance for Runner Training.
Proceedings of the Human-Centered and Error-Resilient Systems Development, 2016
Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Workshop on engineering human-computer interaction in recommender systems.
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
ART: group recommendation approaches for automatically detected groups.
Int. J. Machine Learning & Cybernetics, 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
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
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014
Impact of Content Novelty on the Accuracy of a Group Recommender System.
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
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
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
Groups Identification and Individual Recommendations in Group Recommendation Algorithms.
Proceedings of the Workshop on the Practical Use of Recommender Systems, 2010
Group Recommendation with Automatic Identification of Users Communities.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009
RATC: A Robust Automated Tag Clustering Technique.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009