C. Musto

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

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

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

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

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

Learning Preference Models in Recommender Systems

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

Trends in content-based recommendation

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

Linked open data-based explanations for transparent recommender systems

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

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

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

Encoding Exogenous Semantics

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

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

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

Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews

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

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

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

Conclusions and Future Challenges

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

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations

P. Lops, C. Musto, G. Semeraro, 2023, UMAP.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint

C. Musto, G. Semeraro, Giuseppe Spillo, 2023, RecSys.

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

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

Semantics and Content-Based Recommendations

P. Lops, C. Musto, F. Narducci, 2022, Recommender Systems Handbook.

Linked Open Data-enabled Strategies for Top-N Recommendations

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

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures

P. Lops, C. Musto, G. Semeraro, 2023 .

ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems

P. Lops, C. Musto, G. Semeraro, 2023, Information Systems.

Accountable Knowledge-aware Recommender Systems

P. Lops, C. Musto, Marco Polignano, 2023, UMAP.

Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations

P. Lops, C. Musto, G. Semeraro, 2022, DP@AI*IA.

Towards a Conceptual Model for Holistic Recommendations

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

P. Lops, C. Musto, G. Semeraro, 2021, DP@AI*IA.

A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies

C. Musto, F. Narducci, G. Semeraro, 2022, UMAP.

Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain

C. Musto, F. Narducci, G. Semeraro, 2022, DP@AI*IA.

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

V. W. Anelli, Antonio Ferrara, F. Donini, 2022, RecSys.

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

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

Enhanced semantic TV-show representation for personalized electronic program guides

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

Virtual Customer Assistants in finance: From state of the art and practices to design guidelines

C. Musto, F. Narducci, G. Semeraro, 2023, Comput. Sci. Rev..

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

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

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

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

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

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

Content-Based Personalization Services Integrating Folksonomies

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

The contribution of AI to enhance understanding of Cultural Heritage

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

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

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

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

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

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.

MARS: a MultilAnguage Recommender System

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

A Semantic Content-based Recommender System for Cross-Language Personalization

Pierpaolo Basile, P. Lops, C. Musto, 2011 .

Adaptive and Personalized Systems Based on Semantics

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

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.

Semantics-Aware Content-Based Recommender Systems

C. Musto, F. Narducci, Pasquale Lops, 2015, Recommender Systems Handbook.

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

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

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles

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

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

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

E-Commerce and Web Technologies

Michael J. Shaw, M. Shaw, P. Lops, 2012, Lecture Notes in Business Information Processing.

Preface

V. W. Anelli, Antonio Ferrara, M. Zanker, 2023, KaRS@RecSys.

Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022)

V. W. Anelli, Antonio Ferrara, F. Donini, 2022, KaRS@RecSys.

Session details: Personalized Recommender Systems III

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