Fabio Gasparetti

发表

Social Tagging for Personalized Location-Based Services

A. Micarelli, Claudio Biancalana, Fabio Gasparetti, 2011 .

– Preface – SIGIR 2015 International Workshop on Social Personalization & Search August 10 , 2015 1 Overview

R. Baeza-Yates, Alejandro Bellogín, A. Micarelli, 2015 .

Personalized weight loss strategies by mining activity tracker data

Fabio Gasparetti, Daniele Quercia, Luca Maria Aiello, 2019, User Modeling and User-Adapted Interaction.

Advances in Personalized Mobile Services

Bin Liu, Shuk Ying Ho, Fabio Gasparetti, 2018, Mobile Information Systems.

Community detection in social recommender systems: a survey

A. Micarelli, Fabio Gasparetti, G. Sansonetti, 2020, Applied intelligence (Boston).

Prerequisites between learning objects: Automatic extraction based on a machine learning approach

Carlo De Medio, Carla Limongelli, Fabio Gasparetti, 2017, Telematics Informatics.

Community detection in social recommender systems: a survey

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2020, Applied Intelligence.

Semantic-based tag recommendation in scientific bookmarking systems

Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, 2018, RecSys.

A web-based training system for business letter writing

Fabio Gasparetti, Alessandro Micarelli, Filippo Sciarrone, 2009, Knowl. Based Syst..

Personalization and Context-awareness in Social Local Search: State-of-the-art and Future Research Challenges

Fabio Gasparetti, Fabio Gasparetti, 2017, Pervasive Mob. Comput..

Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2018, Future Gener. Comput. Syst..

A Case-Based Approach to Adaptive Hypermedia Navigation

Fabio Gasparetti, Alessandro Micarelli, Filippo Sciarrone, 2009, Int. J. Web Based Learn. Teach. Technol..

Unreliable Users Detection in Social Media: Deep Learning Techniques for Automatic Detection

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2020, IEEE Access.

An approach to social recommendation for context-aware mobile services

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2013, TIST.

Towards a Characterization of Educational Material: An Analysis of Coursera Resources

Carlo De Medio, Carla Limongelli, Alessandro Marani, 2016, SETE@ICWL.

Enhancing traditional local search recommendations with context-awareness

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2011, UMAP'11.

Personalized Search on the World Wide Web

Fabio Gasparetti, Alessandro Micarelli, Filippo Sciarrone, 2007, The Adaptive Web.

BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?

Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, 2019, RecSys.

Modeling Teachers and Learning Materials: A Comparison among Similarity Metrics

Carlo De Medio, Carla Limongelli, Fabio Gasparetti, 2018, 2018 22nd International Conference Information Visualisation (IV).

Wiki course builder: A system for retrieving and sequencing didactic materials from Wikipedia

Carla Limongelli, Fabio Gasparetti, Filippo Sciarrone, 2015, 2015 International Conference on Information Technology Based Higher Education and Training (ITHET).

Mining Prerequisite Relationships Among Learning Objects

Carlo De Medio, Carla Limongelli, Fabio Gasparetti, 2016, HCI.

Modeling user interests from web browsing activities

Fabio Gasparetti, Fabio Gasparetti, 2017, Data Mining and Knowledge Discovery.

Personalized Search Based on a Memory Retrieval Theory

Fabio Gasparetti, Alessandro Micarelli, A. Micarelli, 2007, Int. J. Pattern Recognit. Artif. Intell..

Enhancing cultural recommendations through social and linked open data

F. Cena, A. Micarelli, Fabio Gasparetti, 2019, User Modeling and User-Adapted Interaction.

Using Social Media for Personalizing the Cultural Heritage Experience

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2021, UMAP.

SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE)

Giuseppe Sansonetti, Fabio Gasparetti, Cristina Gena, 2021, IUI Companion.

Cross-Domain Recommendation for Enhancing Cultural Heritage Experience

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2019, UMAP.

Tourism Recommender Systems as a Vehicle for Social and Cultural Inclusion

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2021, IUI Workshops.

A Social Cultural Recommender based on Linked Open Data

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2017, UMAP.

Dynamic Social Recommendation

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

iSCUR: Interest and Sentiment-Based Community Detection for User Recommendation on Twitter

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2014, UMAP.

Signal-based user recommendation on twitter

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2013, WWW.

Context-aware movie recommendation based on signal processing and machine learning

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2011, CAMRa '11.

A Social Context-Aware Recommender of Itineraries Between Relevant Points of Interest

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2016, HCI.

Social semantic query expansion

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2013, ACM Trans. Intell. Syst. Technol..

A Sentiment-Based Approach to Twitter User Recommendation

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2013, RSWeb@RecSys.

Enhancing cultural recommendations through social and linked open data

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2019, User Modeling and User-Adapted Interaction.

Personalization in Virtual Enterprises

Fabio Gasparetti, Alessandro Micarelli, Claudio Biancalana, 2009, WEBIST.

Adaptive Web Search Based on a Colony of Cooperative Distributed Agents

Fabio Gasparetti, Alessandro Micarelli, A. Micarelli, 2003, CIA.

Exploiting wikipedia for discovering prerequisite relationships among learning objects

Carla Limongelli, Fabio Gasparetti, Filippo Sciarrone, 2015, 2015 International Conference on Information Technology Based Higher Education and Training (ITHET).

Folksonomy-based adaptive query expansion

Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, 2012, UMAP Workshops.

Discovering Prerequisite Relationships Among Learning Objects: A Coursera-Driven Approach

Carlo De Medio, Carla Limongelli, Alessandro Marani, 2016, ICWL.

Personalization and Context-awareness in Social Local Search: State-of-the-art and Future Research Challenges

Fabio Gasparetti, 2017, Pervasive Mob. Comput..

Automatic Extraction and Sequencing of Wikipedia Pages for Smart Course Building

Carlo De Medio, Carla Limongelli, Fabio Gasparetti, 2017, 2017 21st International Conference Information Visualisation (IV).

Adaptive Focused Crawling

Fabio Gasparetti, Alessandro Micarelli, A. Micarelli, 2007, The Adaptive Web.

Intelligent Search on the Internet

Fabio Gasparetti, Alessandro Micarelli, Claudio Biancalana, 2006, Reasoning, Action and Interaction in AI Theories and Systems.

SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2023

M. Tkalcic, Fabio Gasparetti, Cristina Gena, 2023, IUI Companion.

SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024

Fabio Gasparetti, Giuseppe Sansonetti, Cristina Gena, 2024, IUI Companion.

SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2022

M. Tkalcic, Fabio Gasparetti, Cristina Gena, 2022, IUI Companion.

Deep Learning to Monitor Massive Open Online Courses Dynamics

Fabio Gasparetti, Filippo Sciarrone, Marco Temperini, 2021, MIS4TEL.

Finding Information on the Web: Enhancing Traditional Methodologies

Matteo Gaeta, Fabio Gasparetti, Alessandro Micarelli, 2004 .

Using Graph Embedding to Monitor Communities of Learners

Fabio Gasparetti, Filippo Sciarrone, Marco Temperini, 2021, International Conference on Intelligent Tutoring Systems.