Cataldo Musto

发表

Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia

Giovanni Semeraro, Cataldo Musto, Pierpaolo Basile, 2019, UMAP.

HealthAssistantBot: A Personal Health Assistant for the Italian Language

Giovanni Semeraro, Cataldo Musto, Marco Polignano, 2020, IEEE Access.

TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, Inf. Syst. Frontiers.

Aggregation Strategies for Linked Open Data-enabled Recommender Systems

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2014 .

Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2019, UMAP.

A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, RecSys.

SpIteR: A Module for Recommending Dynamic Personalized Museum Tours

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2010, IRCDL.

Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, Knowl. Based Syst..

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization

Nava Tintarev, Giovanni Semeraro, Cataldo Musto, 2020, UMAP.

Myrror: a Platform for Quantified Self and Holistic User Modeling

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, UMAP.

Enhanced vector space models for content-based recommender systems

Cataldo Musto, C. Musto, 2010, RecSys '10.

Report on RecSys 2016Workshop on New Trends in Content-Based Recommender Systems

Marijn Koolen, Pasquale Lops, Giovanni Semeraro, 2017, SIGIR Forum.

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, WWW.

Combining Collaborative and Content-Based Techniques for Tag Recommendation

Pasquale Lops, Marco Degemmis, Cataldo Musto, 2010, EC-Web.

Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2012, IIR.

Content-Based Filtering with Tags: The FIRSt System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Random Indexing for Content-Based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, IIR.

Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, AI*IA.

Myusic: a Content-based Music Recommender System based on eVSM and Social Media

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, IIR.

A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, Web Personalization in Intelligent Environments.

Concept-based item representations for a cross-lingual content-based recommendation process

Annalina Caputo, Pasquale Lops, Giovanni Semeraro, 2016, Inf. Sci..

An investigation on the serendipity problem in recommender systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, Inf. Process. Manag..

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2020, UMAP.

Financial Product Recommendation through Case-based Reasoning and Diversification Techniques

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2014, RecSys Posters.

Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2016, ECIR.

Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, EC-Web.

Generating post hoc review-based natural language justifications for recommender systems

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2020, User Modeling and User-Adapted Interaction.

Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, CBRecSys@RecSys.

UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization

Judy Kay, Nava Tintarev, Federica Cena, 2019, UMAP.

TV-Show Retrieval and Classification

Pasquale Lops, Giovanni Semeraro, Jan H. M. Korst, 2012, IIR.

Linked Open Data-enabled Strategies for Top-N Recommendations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2014, CBRecSys@RecSys.

Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2014, UMAP.

Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2019, RecSys.

Meaning is its use : towards the use of Distributional Semantics for Content-based Recommender Systems

Cataldo Musto, 2012 .

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, Collaborative Recommendations.

Recommender Systems based on Rich Item Descriptions

Marijn Koolen, Pasquale Lops, Dietmar Jannach, 2018 .

DeCAT 2015 - Workshop on Deep Content Analytics Techniques for Personalized and Intelligent Services

Lora Aroyo, Pasquale Lops, Giovanni Semeraro, 2015 .

Enhanced semantic TV-show representation for personalized electronic program guides

Pasquale Lops, Giovanni Semeraro, Jan H. M. Korst, 2012, UMAP.

Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, RecSys Posters.

Session details: Personalized Recommender Systems III

Cataldo Musto, C. Musto, 2018, Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization.

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, UMAP.

Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, AI*IA.

Adaptive and Personalized Systems Based on Semantics

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019, Semantics in Adaptive and Personalised Systems.

Case-based Recommender Systems for Personalized Finance Advisory

Giovanni Semeraro, Cataldo Musto, 2015, FINREC.

Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks

Giovanni Semeraro, Alessandro Suglia, Cataldo Musto, 2016, IIR.

Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

Marijn Koolen, Pasquale Lops, Giovanni Semeraro, 2017, RecSys 2017.

STaR: a Social Tag Recommender System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, DC@PKDD/ECML.

Trends in content-based recommendation

Marijn Koolen, Pasquale Lops, Dietmar Jannach, 2019, User Modeling and User-Adapted Interaction.

Content-Based Personalization Services Integrating Folksonomies

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, EC-Web.

A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, UMAP.

Myrror: a platform for holistic user modeling

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2020, User Modeling and User-Adapted Interaction.

Towards a Social Robot as Interface for Tourism Recommendations

Pasquale Lops, Giovanni Semeraro, Berardina De Carolis, 2020, cAESAR.

Semantic technologies for industry: From knowledge modeling and integration to intelligent applications

Roberto Pirrone, Maurizio Lenzerini, Roberto Basili, 2013, Intelligenza Artificiale.

Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis

Giovanni Semeraro, Cataldo Musto, Vittorio Lingiardi, 2020, Behav. Inf. Technol..

Developing Smart Cities Services through Semantic Analysis of Social Streams

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, WWW.

Learning Preference Models in Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2010, Preference Learning.

Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, UMAP.

CrowdPulse: A framework for real-time semantic analysis of social streams

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, Inf. Syst..

Semantics in Adaptive and Personalised Systems: Methods, Tools and Applications

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019 .

Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2014, SemWebEval@ESWC.

UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization

Judy Kay, Federica Cena, Frank Hopfgartner, 2018, UMAP.

UMAP 2017 THUM workshop chairs' welcome

Judy Kay, Tsvi Kuflik, David Konopnicki, 2017 .

An IR-Based Approach for Tag Recommendation

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2010, IIR.

Content-based and collaborative techniques for tag recommendation: an empirical evaluation

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2012, Journal of Intelligent Information Systems.

A folksonomy-based recommender system for personalized access to digital artworks

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2012, JOCCH.

Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, WWW.

MARS: a MultilAnguage Recommender System

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2010, HetRec '10.

Cross-Language Personalization through a Semantic Content-Based Recommender System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2010, AIMSA.

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, UMAP.

A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, UMAP.

HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks

Giovanni Semeraro, Cataldo Musto, Marco Polignano, 2019, CLiC-it.

Recommending Doctors and Health Facilities in the HealthNet Social Network

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, SoMePeAS@ECIR.

UMAP 2017 THUM Workshop Chairs' Welcome & Organization

Judy Kay, Tsvi Kuflik, David Konopnicki, 2017, UMAP.

Linked open data-based explanations for transparent recommender systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2019, Int. J. Hum. Comput. Stud..

Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, EC-Web.

Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models

Christoph Trattner, Giovanni Semeraro, Cataldo Musto, 2020, UMAP.

Workshop on Explainable User Models and Personalized Systems (ExUM 2020)

Nava Tintarev, Giovanni Semeraro, Cataldo Musto, 2020, UMAP.

Conclusions and Future Challenges

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019, Semantics in Adaptive and Personalised Systems.

Knowledge-aware and conversational recommender systems

Pasquale Lops, Markus Zanker, Tommaso Di Noia, 2018, RecSys.

Basics of Content Representation

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019 .

Encoding Exogenous Semantics

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019, Semantics in Adaptive and Personalised Systems.

Encoding Endogenous Semantics

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2019, Semantics in Adaptive and Personalised Systems.

Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, ESWC.

A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, Intelligenza Artificiale.

Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2020, IntRS@RecSys.

Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, EC-Web.

Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application

Giovanni Semeraro, Amon Rapp, Cataldo Musto, 2020, IEEE Access.

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project

Giovanni Semeraro, Giancarlo Ruffo, Viviana Patti, 2019, CLiC-it.

Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings

Giovanni Semeraro, Cataldo Musto, Pierpaolo Basile, 2019, AI*IA.

Leveraging Social Media Sources to Generate Personalized Music Playlists

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2012, EC-Web.

Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, IIR.

Personalized finance advisory through case-based recommender systems and diversification strategies

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, Decis. Support Syst..

CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)

Marijn Koolen, Giovanni Semeraro, Toine Bogers, 2015, RecSys 2015.

Leveraging the linkedin social network data for extracting content-based user profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, RecSys '11.

A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts

Giovanni Semeraro, Cataldo Musto, Marco Polignano, 2014, DART@AI*IA.

Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2016, UMAP.

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

Marijn Koolen, Pasquale Lops, Giovanni Semeraro, 2016, RecSys.

Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2019, DDC@AI*IA.

Developing a Semantic Content Analyzer for L'Aquila Social Urban Network

Luciana Bordoni, Pasquale Lops, Giovanni Semeraro, 2014, IIR.

Introducing linked open data in graph-based recommender systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, Inf. Process. Manag..

Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2016, UMAP.

ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2016, RecSys.

The contribution of AI to enhance understanding of Cultural Heritage

Luciana Bordoni, Liliana Ardissono, Francesco Mele, 2013, Intelligenza Artificiale.

Towards a Conceptual Model for Holistic Recommendations

Federica Cena, Pasquale Lops, Amon Rapp, 2018, UMAP.

Learning semantic content-based profiles for cross-language recommendations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, PMHR '11.

Context-aware graph-based recommendations exploiting Personalized PageRank

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, Knowl. Based Syst..

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, ACM Trans. Inf. Syst..

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, RecSys.

Towards a New generation of Personalized Intelligent Conversational Agents

Luigi Di Caro, Elena Musi, Federica Cena, 2021, UMAP.

Exploring the Effects of Natural Language Justifications in Food Recommender Systems

Christoph Trattner, Giovanni Semeraro, Amon Rapp, 2021, UMAP.

Workshop on Explainable User Models and Personalized Systems (ExUM 2021)

Nava Tintarev, Giovanni Semeraro, Jürgen Ziegler, 2021, UMAP.

Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)

Markus Zanker, Cataldo Musto, Pierpaolo Basile, 2021, RecSys.