M. Degemmis

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

Mathematical Methods of Tensor Factorization Applied to Recommender Systems

Giuseppe Ricci, Giovanni Semeraro, Marco Degemmis, 2013, ADBIS.

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.

A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2019, UMAP.

Integrating tags in a semantic content-based recommender

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2008, RecSys '08.

A Hybrid Content-Collaborative Recommender System Integrated into an Electronic Performance Support System

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Learning Preference Models in Recommender Systems

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

User's Social Media Profile as Predictor of Empathy

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2017, UMAP.

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..

The JIGSAW Algorithm for Word Sense Disambiguation and Semantic Indexing of Documents

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2007, AI*IA.

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.

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2019, *SEMEVAL.

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images

Marco Degemmis, Lucia Siciliani, Marco Polignano, 2021, Inf..

Do You Feel Blue? Detection of Negative Feeling from Social Media

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2017, AI*IA.

Introduction to Emotions and Personality in Personalized Systems

Marco Degemmis, Ante Odic, Marko Tkalcic, 2017, Emotions and Personality in Personalized Services.

A Dataset of Real Dialogues for Conversational Recommender Systems

Marco Degemmis, Fedelucio Narducci, Andrea Iovine, 2019, CLiC-it.

Comparing Transformer-based NER approaches for analysing textual medical diagnoses

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2021, CLEF.

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2020, CLiC-it.

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

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

A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2020, IntRS@RecSys.

A Personalized Information Search Process Based on Dialoguing Agents and User Profiling

Giovanni Semeraro, Marco Degemmis, Ulrich Thiel, 2003, ECIR.

A Virtual Customer Assistant for the Wealth Management domain in the UWMP project

F. Narducci, G. Semeraro, Andrea Iovine, 2020, HAI-GEN+user2agent@IUI.

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

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

Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, Artif. Intell..

Combining Knowledge-based Methods and Supervised Learning for Effective Italian Word Sense Disambiguation

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2008, STEP.

Introducing Serendipity in a Content-Based Recommender System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

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

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

The JUMP project: Domain Ontologies and Linguistic Knowledge @ Work

Anna Lisa Gentile, Pasquale Lops, Marco Degemmis, 2007, SWAP.

Personalization in Digital Libraries: An Intelligent Service based on Semantic User Profiles

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2007, IRCDL.

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..

Improving the User Experience with a Conversational Recommender System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, AI*IA.

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.

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.

A Hybrid Collaborative Recommender System Based on User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2004, ICEIS.

Improving Collaborative Recommender Systems by Means of User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2004, Designing Personalized User Experiences in eCommerce.

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.

Learning User Profiles from Text in e-Commerce

Stefano Ferilli, Pasquale Lops, Giovanni Semeraro, 2005, ADMA.

Enhanced semantic TV-show representation for personalized electronic program guides

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

RecSys '19 joint workshop on interfaces and human decision making for recommender systems

Peter Brusilovsky, A. Felfernig, M. Willemsen, 2019, RecSys.

Recsys'18 joint workshop on interfaces and human decision making for recommender systems

Giovanni Semeraro, Peter Brusilovsky, Marco Degemmis, 2018, RecSys.

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Nava Tintarev, Peter Brusilovsky, Marco Degemmis, 2017, RecSys.

Workshop on human decision making in recommender systems: decisions@RecSys'13

Francesco Ricci, Li Chen, Pasquale Lops, 2013, RecSys.

RecSys'12 workshop on human decision making in recommender systems

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

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.

Knowledge infusion into content-based recommender systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, RecSys '09.

Content-Based Personalization Services Integrating Folksonomies

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

WordNet-based user profiles for neighborhood formation in hybrid recommender systems

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Evaluation and Validation of Two Approaches to User Profiling

Stefano Ferilli, Pasquale Lops, Giovanni Semeraro, 2003, EWMF.

The contribution of AI to enhance understanding of Cultural Heritage

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

Explicit Semantic Analysis for Enriching Content-Based User Profiles

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

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

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

A methodological approach for designing and evaluating intelligent applications for digital collections

Pasquale Lops, Marco Degemmis, Fabio Zambetta, 2003, Appl. Artif. Intell..

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

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

Recommendations toward Serendipitous Diversions

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

Motivating Serendipitous Encounters in Museum Recommendations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, Advances in Distributed Agent-Based Retrieval Tools.

Serendipitous Encounters along Dynamically Personalized Museum Tours

Piero Molino, P. Lops, G. Semeraro, 2010, IIR.

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.

SABRE: A Sentiment Aspect-Based Retrieval Engine

Annalina Caputo, Pasquale Lops, Giovanni Semeraro, 2014, DART@AI*IA.

Recognizing Plan/Goal Abandonment

Pierpaolo Basile, P. Lops, G. Semeraro, 2009, IJCAI.

Humanoid Robots and Conversational Recommender Systems: a Preliminary Study

Giovanni Semeraro, Marco Degemmis, Fedelucio Narducci, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).