Ludovico Boratto

According to our database1, Ludovico Boratto authored at least 75 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

Equality of Learning Opportunity in Personalized Recommendations.
CoRR, 2020

Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems.
CoRR, 2020

Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation.
CoRR, 2020

ECIR 2020 Workshops: Assessing the Impact of Going Online.
CoRR, 2020

A Robust Reputation-based Group Ranking System and its Resistance to Bribery.
CoRR, 2020

Characterizing user behavior in journey planning.
Computing, 2020

Integrating a cognitive assistant within a critique-based recommender system.
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

Hands on Data and Algorithmic Bias in Recommender Systems.
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

Matching User Preferences and Behavior for Mobility.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 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

Guest editorial: social media for personalization and search.
Inf. Retr. J., 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

Distance-Aware Event Recommendation in Event-Based Social Networks.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
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 Recognit. Lett., 2018

Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system.
Inf. Syst. Frontiers, 2018

Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era.
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

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

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

Group Recommendations.
Proceedings of the Collaborative Recommendations, 2018

2017
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.
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

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

2016
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 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

Influence of Rating Prediction on Group Recommendation's Accuracy.
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

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

Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy.
Proceedings of the Global Summit on Computer & Information Technology, 2016

Analysis of the Properties that Affect the Accuracy of a Group Recommender System.
Proceedings of the Global Summit on Computer & Information Technology, 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

2015
ART: group recommendation approaches for automatically detected groups.
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

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

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

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
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


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