Marco Degemmis

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

OTTHO: On the Tip of My THOught

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

WordNet-Based Word Sense Disambiguation for Learning User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2005, EWMF/KDO.

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

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

Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2020, CLiC-it.

Semantic Web Personalization in a Scientific Congress Scenario

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2006, SWAP.

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..

AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2019, CLiC-it.

Myrror: a Platform for Quantified Self and Holistic User Modeling

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

Serendipitous Encounters along Dynamically Personalized Museum Tours

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

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

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

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

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

Agents, personalisation, and intelligent applications

Fabio Abbattista, Pasquale Lops, Giovanni Semeraro, 2003 .

Combining Collaborative and Content-Based Techniques for Tag Recommendation

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

Human Decision Making and Recommender Systems

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

Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) Task

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2018, EVALITA@CLiC-it.

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

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

Learning Inclination to Empathy from Social Media Footprints

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

Learning User Profiles for Content-Based Filtering in e-Commerce

Fabio Abbattista, Nicola Fanizzi, Giovanni Semeraro, 2002 .

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.

Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2020, ICCSA.

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

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

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

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

Italian Machine Learning and Data Mining research: The last years

Fabrizio Riguzzi, Donato Malerba, Davide Bacciu, 2013, Intelligenza Artificiale.

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.

Recommender Systems in the Internet of Talking Things (IoTT)

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

Overview of the EVALITA 2016 Question Answering for Frequently Asked Questions (QA4FAQ) Task

Annalina Caputo, Pasquale Lops, Marco Degemmis, 2016, CLiC-it/EVALITA.

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

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

UNIBA: JIGSAW algorithm for Word Sense Disambiguation

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2007, SemEval@ACL.

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.

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.

Enhancing Semantic Search using N-Levels Document Representation

Anna Lisa Gentile, Annalina Caputo, Pasquale Lops, 2008, SemSearch.

An Intelligent Personalized Service for Conference Participants

Pasquale Lops, Marco Degemmis, Pierpaolo Basile, 2006, ISMIS.

Recommender Systems, Basics of

Pasquale Lops, Marco Degemmis, Marco Polignano, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

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).

Combining Learning and Word Sense Disambiguation for Intelligent User Profiling

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2007, IJCAI.

Content-Based Recommendation Services for Personalized Digital Libraries

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2007, DELOS.

The JUMP project: Domain Ontologies and Linguistic Knowledge @ Work

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

Human Decision Making and Recommender Systems

Li Chen, Anthony Jameson, Pasquale Lops, 2015, Recommender Systems Handbook.

Intelligent Information Access by Exploiting Lexical Knowledge and Machine Learning

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2006, IRCDL.

TV-Show Retrieval and Classification

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

An Emotion-driven Approach for Aspect-based Opinion Mining

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2018, IIR.

Learning Usage Patterns for Personalized Information Access in e-Commerce

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2004, User Interfaces for All.

Linked Open Data-enabled Strategies for Top-N Recommendations

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

RecSys'12 workshop on human decision making in recommender systems

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

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

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

Extraction of User Profiles by Discovering Preferences through Machine Learning

Fabio Abbattista, Pasquale Lops, Giovanni Semeraro, 2003, IIS.

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

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

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

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

Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity

Pasquale Lops, Giovanni Semeraro, Paolo Tomeo, 2015, CBRecSys@RecSys.

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering

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

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

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

Mathematical Methods of Tensor Factorization Applied to Recommender Systems

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

Evaluation and Validation of Two Approaches to User Profiling

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

Content-based Recommender Systems: State of the Art and Trends

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2011, Recommender Systems Handbook.

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.

Exploiting Lexical Knowledge in Learning User Profiles for Intelligent Information Access to Digital Collections

Claudia Niederée, Avare Stewart, Pasquale Lops, 2005, ICADL.

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles

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

T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference

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

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

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

Learning Customer Profiles Using Unlabelled Data

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2003, Informatica.

Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation

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

OTTHO: An Artificial Player for a Complex Language Game

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

"Language Is the Skin of My Thought": Integrating Wikipedia and AI to Support a Guillotine Player

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2009, AI*IA.

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).

STaR: a Social Tag Recommender System

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

User profiling and virtual agents: a case study on e-commerce services

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2008, Universal Access in the Information Society.

Introducing Serendipity in a Content-Based Recommender System

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

DECiSION: Data-drivEn Customer Service InnovatiON

Marco Degemmis, Pierpaolo Basile, Dario Esposito, 2020, ICCSA.

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.

A Comparative Study of Approaches for the Diachronic Analysis of the Italian Language

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2020, NL4AI@AI*IA.

Temporal Semantic Analysis of Conference Proceedings

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

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

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

A Hybrid Collaborative Recommender System Based on User Profiles

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

A General Architecture for an Emotion-aware Content-based Recommender System

Pasquale Lops, Marco Degemmis, Fedelucio Narducci, 2015, EMPIRE@RecSys.

Learning User Profiles from Text in e-Commerce

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

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.

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

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

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

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

A RDF-based Framework for User Profile Creation and Management

Luigi Iannone, Pasquale Lops, Giovanni Semeraro, 2005, SWAP.

Discovering User Profiles from Semantically Indexed Scientific Papers

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2006, WebMine.

UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List

Marco Degemmis, Marko Tkalcic, 2018, UMAP.

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

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

An IR-Based Approach for Tag Recommendation

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

Improving Retrieval Experience Exploiting Semantic Representation of Documents

Anna Lisa Gentile, Annalina Caputo, Pasquale Lops, 2008, SWAP.

Improving Social Filtering Techniques Through WordNet-Based User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2007, User Modeling.

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.

Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality

Marco Degemmis, Marco Polignano, 2015, DC@AI*IA.

Modeling Short-Term Preferences in Time-Aware Recommender Systems

Annalina Caputo, Pasquale Lops, Giovanni Semeraro, 2015, UMAP Workshops.

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

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

User's Social Media Profile as Predictor of Empathy

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

User Profiling to Support Internet Customers: What Do You Want to Buy Today?

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2002, Informatica.

Intelligent Information Access by Learning WordNet-Based User Profiles

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2005, AI*IA.

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

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

Personalization for the Web: Learning User Preferences from Text

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2005, From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments.

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

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

SABRE: A Sentiment Aspect-Based Retrieval Engine

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

A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints

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

Recommending Doctors and Health Facilities in the HealthNet Social Network

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

A Virtual Player for "Who Wants to Be a Millionaire?" based on Question Answering

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2013, AI*IA.

Ontologically-Enriched Unified User Modeling for Cross-System Personalization

Bhaskar Mehta, Claudia Niederée, Avare Stewart, 2005, User Modeling.

Mining Semantically Indexed Documents for Intelligent User Profiling

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2007, Künstliche Intell..

Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013

Thomas Lukasiewicz, Pasquale Lops, Giovanni Semeraro, 2013, RecSys.

Natat in Cerebro: Intelligent Information Retrieval for "The Guillotin" Language Game

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

Linked open data-based explanations for transparent recommender systems

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

Decision Making and Recommendation Acceptance Issues in Recommender Systems

Francesco Ricci, Pasquale Lops, Giovanni Semeraro, 2011, UMAP Workshops.

Learning User Profiles for Intelligent Search

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2003, ICEIS.

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

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

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

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

EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems

Marco Degemmis, Ante Odic, Marko Tkalcic, 2015, RecSys.

Improving Collaborative Recommender Systems by Means of User Profiles

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

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

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

Learning Semantic User Profiles from Text

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2006, ADMA.

Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, Emotions and Personality in Personalized Services.

Semantic Bayesian Profiling Services for Information Recommendation

Giovanni Semeraro, Tommaso Di Noia, Eugenio Di Sciascio, 2007, KES.

Solving a Complex Language Game by Using Knowledge-Based Word Associations Discovery

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2016, IEEE Transactions on Computational Intelligence and AI in Games.

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.

Emotions and Personality in Personalized Systems

Marco Degemmis, Marko Tkalcic, Andrej Kosir, 2016, Interaction Design and Architecture(s).

Leveraging Social Media Sources to Generate Personalized Music Playlists

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

Motivating Serendipitous Encounters in Museum Recommendations

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

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).

Explicit Semantic Analysis for Enriching Content-Based User Profiles

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

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

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

Recommendations toward Serendipitous Diversions

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

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

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

Integrating tags in a semantic content-based recommender

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

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

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

Empathic Inclination from Digital Footprints

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

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

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

Improving the User Experience with a Conversational Recommender System

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

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..

A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems

Pasquale Lops, Marco Degemmis, Berardina De Carolis, 2015, EMPIRE@RecSys.

Semantic Indexing of Documents for Semantic Digital Libraries

Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro, 2008, IRCDL.

Introduction to Emotions and Personality in Personalized Systems

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

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.

An Artificial Player for a Language Game

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2012, IEEE Intelligent Systems.

The contribution of AI to enhance understanding of Cultural Heritage

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

Knowledge infusion into content-based recommender systems

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

Text learning for user profiling in e-commerce

Stefano Ferilli, Pasquale Lops, Giovanni Semeraro, 2006, Int. J. Syst. Sci..

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..

Learning semantic content-based profiles for cross-language recommendations

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

An Investigation on the Impact of Natural Language on Conversational Recommendations

Giovanni Semeraro, Marco Degemmis, Fedelucio Narducci, 2021, IIR.

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..

Extracting Relations from Italian Wikipedia using Self-Training

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, CLiC-it.

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

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

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images

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

Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction

Pasquale Lops, Marco Degemmis, Pierpaolo Basile, 2021, IIR.

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2021, Expert Syst. Appl..

Improving preference elicitation in a conversational recommender system with active learning strategies

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

Comparing Transformer-based NER approaches for analysing textual medical diagnoses

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