Cataldo Musto

According to our database1, Cataldo Musto authored at least 80 papers between 2009 and 2019.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions.
User Model. User-Adapt. Interact., 2019

Linked open data-based explanations for transparent recommender systems.
Int. J. Hum.-Comput. Stud., 2019

UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks.
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project.
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

Semantics in Adaptive and Personalised Systems - Methods, Tools and Applications
Springer, ISBN: 978-3-030-05617-9, 2019

2018
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning.
Information Systems Frontiers, 2018

Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Myrror: a Platform for Quantified Self and Holistic User Modeling.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Towards a Conceptual Model for Holistic Recommendations.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Knowledge-aware and conversational recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering.
Proceedings of the Collaborative Recommendations, 2018

2017
Report on RecSys 2016Workshop on New Trends in Content-Based Recommender Systems.
SIGIR Forum, 2017

Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features.
Knowl.-Based Syst., 2017

Introducing linked open data in graph-based recommender systems.
Inf. Process. Manage., 2017

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

UMAP 2017 THUM Workshop Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data.
Proceedings of the Semantic Web - 14th International Conference, 2017

Recommending Doctors and Health Facilities in the HealthNet Social Network.
Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, 2017

Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016
Concept-based item representations for a cross-lingual content-based recommendation process.
Inf. Sci., 2016

Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016).
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2016

2015
Semantics-Aware Content-Based Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

CrowdPulse: A framework for real-time semantic analysis of social streams.
Inf. Syst., 2015

An investigation on the serendipity problem in recommender systems.
Inf. Process. Manage., 2015

A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems.
Intelligenza Artificiale, 2015

Personalized finance advisory through case-based recommender systems and diversification strategies.
Decision Support Systems, 2015

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Developing Smart Cities Services through Semantic Analysis of Social Streams.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems.
Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Case-based Recommender Systems for Personalized Finance Advisory.
Proceedings of the 1st International Workshop on Personalization & Recommender Systems in Financial Services, 2015

2014
Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Financial Product Recommendation through Case-based Reasoning and Diversification Techniques.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Linked Open Data-enabled Strategies for Top-N Recommendations.
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014

Developing a Semantic Content Analyzer for L'Aquila Social Urban Network.
Proceedings of the 5th Italian Information Retrieval Workshop, 2014

Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems.
Proceedings of the Semantic Web Evaluation Challenge, 2014

A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts.
Proceedings of the 8th International Workshop on Information Filtering and Retrieval co-located with XIII AI*IA Symposium on Artificial Intelligence (AI*IA 2014), 2014

2013
Content-based and collaborative techniques for tag recommendation: an empirical evaluation.
J. Intell. Inf. Syst., 2013

Semantic technologies for industry: From knowledge modeling and integration to intelligent applications.
Intelligenza Artificiale, 2013

The contribution of AI to enhance understanding of Cultural Heritage.
Intelligenza Artificiale, 2013

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists.
Proceedings of the 4th Italian Information Retrieval Workshop, 2013

Myusic: a Content-based Music Recommender System based on eVSM and Social Media.
Proceedings of the 4th Italian Information Retrieval Workshop, 2013

Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013

Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013

2012
A folksonomy-based recommender system for personalized access to digital artworks.
JOCCH, 2012

Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

TV-Show Retrieval and Classification.
Proceedings of the 3rd Italian Information Retrieval Workshop, 2012

Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering.
Proceedings of the 3rd Italian Information Retrieval Workshop, 2012

Leveraging Social Media Sources to Generate Personalized Music Playlists.
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

2011
Leveraging the linkedin social network data for extracting content-based user profiles.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Random Indexing for Content-Based Recommender Systems.
Proceedings of the 2nd Italian Information Retrieval (IIR) Workshop, 2011

Learning semantic content-based profiles for cross-language recommendations.
Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval, 2011

Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010
Enhanced vector space models for content-based recommender systems.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage.
Proceedings of the Digital Libraries - 6th Italian Research Conference, 2010

An IR-Based Approach for Tag Recommendation.
Proceedings of the IIR 2010, 2010

Combining Collaborative and Content-Based Techniques for Tag Recommendation.
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Cross-Language Personalization through a Semantic Content-Based Recommender System.
Proceedings of the Artificial Intelligence: Methodology, 2010

Learning Preference Models in Recommender Systems.
Proceedings of the Preference Learning., 2010

2009
A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access.
Proceedings of the Web Personalization in Intelligent Environments, 2009

SpIteR: A Module for Recommending Dynamic Personalized Museum Tours.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

STaR: a Social Tag Recommender System.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Content-Based Filtering with Tags: The FIRSt System.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Content-Based Personalization Services Integrating Folksonomies.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009


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