NARDUCCI, FEDELUCIO
 Distribuzione geografica
Continente #
NA - Nord America 4.576
AS - Asia 1.719
EU - Europa 1.589
SA - Sud America 492
Continente sconosciuto - Info sul continente non disponibili 181
AF - Africa 124
OC - Oceania 7
Totale 8.688
Nazione #
US - Stati Uniti d'America 4.506
SG - Singapore 712
IT - Italia 464
CN - Cina 402
BR - Brasile 401
SE - Svezia 315
HK - Hong Kong 220
RU - Federazione Russa 164
DE - Germania 151
FR - Francia 127
VN - Vietnam 92
FI - Finlandia 90
UA - Ucraina 90
GB - Regno Unito 69
IN - India 67
CI - Costa d'Avorio 53
BD - Bangladesh 36
IQ - Iraq 35
CA - Canada 32
AR - Argentina 26
EC - Ecuador 21
CO - Colombia 18
NL - Olanda 18
PK - Pakistan 18
TR - Turchia 17
ZA - Sudafrica 17
MA - Marocco 16
ID - Indonesia 15
JP - Giappone 15
MX - Messico 15
ES - Italia 14
IE - Irlanda 13
BE - Belgio 11
PL - Polonia 11
PH - Filippine 10
PT - Portogallo 10
VE - Venezuela 9
CL - Cile 8
AT - Austria 7
ET - Etiopia 7
JO - Giordania 7
KE - Kenya 7
MY - Malesia 7
SA - Arabia Saudita 7
AE - Emirati Arabi Uniti 6
OM - Oman 6
PS - Palestinian Territory 6
TN - Tunisia 6
AU - Australia 5
AZ - Azerbaigian 5
CH - Svizzera 5
DZ - Algeria 5
LT - Lituania 5
NI - Nicaragua 5
UZ - Uzbekistan 5
IL - Israele 4
LB - Libano 4
CR - Costa Rica 3
DO - Repubblica Dominicana 3
EG - Egitto 3
EU - Europa 3
JM - Giamaica 3
KG - Kirghizistan 3
KR - Corea 3
NG - Nigeria 3
NO - Norvegia 3
PE - Perù 3
PY - Paraguay 3
RS - Serbia 3
TW - Taiwan 3
BA - Bosnia-Erzegovina 2
BH - Bahrain 2
CZ - Repubblica Ceca 2
GR - Grecia 2
HN - Honduras 2
HU - Ungheria 2
KW - Kuwait 2
KZ - Kazakistan 2
MD - Moldavia 2
NP - Nepal 2
NZ - Nuova Zelanda 2
RO - Romania 2
TH - Thailandia 2
TT - Trinidad e Tobago 2
AL - Albania 1
AO - Angola 1
BB - Barbados 1
BF - Burkina Faso 1
BG - Bulgaria 1
BO - Bolivia 1
GA - Gabon 1
GT - Guatemala 1
HR - Croazia 1
KN - Saint Kitts e Nevis 1
LA - Repubblica Popolare Democratica del Laos 1
LK - Sri Lanka 1
LU - Lussemburgo 1
LV - Lettonia 1
ME - Montenegro 1
MM - Myanmar 1
Totale 8.500
Città #
Fairfield 483
Ashburn 425
Singapore 374
Chandler 319
Woodbridge 303
San Jose 234
Hong Kong 219
Nyköping 217
Jacksonville 212
Cambridge 207
New York 186
Houston 170
Seattle 170
Ann Arbor 163
Wilmington 161
Milan 143
Beijing 107
Council Bluffs 92
Dallas 84
Bari 82
Nanjing 70
Lawrence 68
Roxbury 66
Los Angeles 58
Lauterbourg 57
Abidjan 53
Des Moines 49
Princeton 48
Inglewood 45
Rome 39
Santa Clara 35
Boardman 33
Ho Chi Minh City 32
São Paulo 32
San Diego 27
Helsinki 24
The Dalles 24
Brooklyn 22
Munich 20
Hanoi 19
Buffalo 18
Dearborn 18
Grafing 17
Hangzhou 17
Jiaxing 16
Turin 16
Frankfurt am Main 14
Paris 14
Turku 14
Baghdad 13
Brasília 13
Dublin 13
Phoenix 13
Shenyang 13
Atlanta 12
Figino 12
Moscow 12
Nanchang 12
San Francisco 12
Chicago 11
London 11
Rio de Janeiro 11
Tianjin 11
Boston 10
Campinas 10
Columbus 10
Curitiba 10
Hebei 10
Pune 10
Tokyo 10
Warsaw 10
Belo Horizonte 9
Brussels 9
Guangzhou 9
Wuhan 9
Chennai 8
Dhaka 8
Guayaquil 8
Medellín 8
Montreal 8
Naples 8
Orem 8
Addis Ababa 7
Changsha 7
Mumbai 7
Nairobi 7
Stockholm 7
Toronto 7
Amman 6
Amsterdam 6
Casablanca 6
Haiphong 6
Indiana 6
Johannesburg 6
Lahore 6
Leipzig 6
Muscat 6
Quito 6
Adelfia 5
Baku 5
Totale 5.769
Nome #
Concept-based item representations for a cross-lingual content-based recommendation process 287
A Folksonomy-based Recommender System for Personalized Access to Digital Artworks 176
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning 174
A Semantic Content-based Recommender System Integrating Folksonomies for Personalized Access 168
Combining Collaborative and Content-based Techniques for Tag Recommendation 166
Do you feel blue? Detection of negative feeling from social media 164
Cross-language Personalization through a Semantic Content-based Recommender System 163
Aggregation Strategies for Linked Open Data-enabled Recommender Systems 158
Content-Based Personalization Services Integrating Folksonomies 157
Content-based and collaborative techniques for tag recommendation: an empirical evaluation 157
A domain-independent framework for building conversational recommender systems 153
Content-based Filtering with Tags: the FIRSt System 151
A Framework for building Chat-based Recommender Systems 144
CroSeR: Cross-language Semantic Retrieval of Open Government Data 138
Learning Preference Models in Recommender Systems 138
A similarity-based framework for service repository integration 138
Integrating a Content-based Recommender System into Digital Libraries for Cultural Heritage 137
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems 134
Cross-language Information Filtering: Word Sense Disambiguation vs. Distributional Models 134
Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems 132
A comparison of services for intent and entity recognition for conversational recommender systems 127
A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network 125
Learning Semantic Content-based Profiles for Cross-language Recommendations 123
A general aspect-term-extraction model for multi-criteria recommendations 123
Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles 122
Augmenting a Content-Based Recommender System with Tags for Cultural Heritage Personalization 122
A Tag Recommender System Exploiting User and Community Behavior 121
Cross-language Semantic Retrieval and Linking of E-gov Services 115
Leveraging the LinkedIn Social Network Data for Extracting Content-based User Profiles 113
null 111
A general model for fair and explainable recommendation in the loan domain 108
Exploiting Content-based Recommender Systems and Digital Libraries for Cultural Heritage Personalization 107
SpIteR: a Module for Recommending Dynamic Personalized Museum Tours 106
Leveraging Social Media Sources to Generate Personalized Music Playlists 104
UMAP 2014 Extended Proceedings. Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization, co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014. Proceedings of PEGOV 2014: Personalization in e-Government Services, Data and Applications 102
Improving preference elicitation in a conversational recommender system with active learning strategies 100
Semantics-aware content-based recommender systems 98
MARS: a MultilAnguage Recommender System 97
null 95
Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides 94
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling 94
Myusic: a Content-based Music Recommender System based on eVSM and Social Media 92
A virtual customer assistant for the wealth management domain in the UWMP project 92
Cross-language Linking of eGov Services to the LOD Cloud 90
Cultural Heritage Personalization using a Content-based Recommender System and Folksonomies 89
null 89
A general architecture for an emotion-aware content-based recommender system 89
Cross-language semantic matching for discovering links to e-gov services in the LOD cloud 88
PEGOV 2014: 2nd international workshop on personalization in eGovernment services and applications 88
Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering 88
Content-based Recommendation Services for Personalized Fruition of Cultural Heritage 87
An IR-based Approach for Tag Recommendation 86
FIRSt: a Content-based Recommender System Integrating Tags for Cultural Heritage Personalization 84
null 84
An investigation on the impact of natural language on conversational recommendations 84
Semantic technologies for industry: from knowledge modeling and integration to intelligent applications 83
STaR: a Social Tag Recommender System 83
Semantics in Adaptive and Personalised Systems - Methods, Tools and Applications 79
The contribution of AI to enhance understanding of Cultural Heritage 77
Explicit Semantic Analysis for Enriching Content-based User Profiles 77
Knowledge-aware and conversational recommender systems 76
null 75
Humanoid Robots and Conversational Recommender Systems: A Preliminary Study 74
null 73
Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering 73
null 70
ExpLOD: A framework for explaining recommendations based on the linked open data cloud 70
null 66
TV-Show Retrieval and Classification 65
Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists 64
null 63
Preference Learning in Recommender Systems 62
Developing a Semantic Content Analyzer for L’Aquila Social Urban Network 62
Improving the User Experience with a Conversational Recommender System 61
T-RecS: A framework for a temporal semantic analysis of the ACM recommender systems conference 60
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain 55
UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets 54
Temporal semantic analysis of conference proceedings 54
Recommending doctors and health facilities in the HealthNet Social Network 52
null 50
null 44
Cross-lingual link discovery with TR-ESA 39
null 39
null 37
Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems 36
null 30
Third knowledge-aware and conversational recommender systems workshop (KaRS) 27
Improving the User Experience and the Trustworthiness of Financial Services 27
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 25
Totale 8.688
Categoria #
all - tutte 34.778
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 34.778


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022542 0 0 14 8 58 55 32 36 43 32 110 154
2022/2023892 132 111 63 76 96 129 10 85 152 4 17 17
2023/2024460 29 54 12 75 18 189 3 9 6 35 9 21
2024/20251.238 42 27 93 33 28 90 86 113 51 47 209 419
2025/20262.567 352 150 192 261 234 164 316 68 264 248 56 262
2026/2027242 43 123 76 0 0 0 0 0 0 0 0 0
Totale 8.688