ELAHI, MEHDI
 Distribuzione geografica
Continente #
NA - Nord America 831
EU - Europa 341
AS - Asia 81
AF - Africa 13
OC - Oceania 2
SA - Sud America 1
Totale 1.269
Nazione #
US - Stati Uniti d'America 809
IT - Italia 112
AT - Austria 77
SE - Svezia 34
DE - Germania 30
CN - Cina 25
CA - Canada 22
ES - Italia 18
FI - Finlandia 18
SG - Singapore 17
UA - Ucraina 14
VN - Vietnam 14
CI - Costa d'Avorio 13
JO - Giordania 13
GB - Regno Unito 11
IE - Irlanda 10
IN - India 5
FR - Francia 4
PL - Polonia 4
NL - Olanda 3
NO - Norvegia 3
AU - Australia 2
IR - Iran 2
KR - Corea 2
EC - Ecuador 1
GR - Grecia 1
JP - Giappone 1
LT - Lituania 1
PH - Filippine 1
RO - Romania 1
TR - Turchia 1
Totale 1.269
Città #
Fairfield 117
Woodbridge 107
Chandler 103
Vienna 75
Ashburn 71
Houston 60
Wilmington 49
Seattle 44
Cambridge 40
Ann Arbor 32
Dearborn 32
Milan 24
Ottawa 21
Grafing 14
Málaga 14
Abidjan 13
Amman 13
Medford 13
Helsinki 12
Singapore 12
Beijing 10
Como 10
Dublin 10
Dong Ket 9
Lawrence 8
Bolzano 6
Bonndorf 5
Hangzhou 5
Phoenix 5
Redwood City 5
Bari 4
Warsaw 4
Cologne 3
Mountain View 3
Norwalk 3
San Diego 3
Amsterdam 2
Atlanta 2
Bergen 2
Birmingham 2
Liss 2
London 2
Lustenau 2
Mascalucia 2
New York 2
Portland 2
Selargius 2
Baotou 1
Barcelona 1
Bargteheide 1
Berlin 1
Bocholt 1
Bovolone 1
Corsico 1
Des Moines 1
Edinburgh 1
Florence 1
Frankfurt Am Main 1
Fremont 1
Groningen 1
Guangzhou 1
Guayaquil 1
Jinan 1
Jinju 1
Lishui 1
Madrid 1
Mezzolombardo 1
Nanchang 1
Nanjing 1
Paris 1
Prineville 1
Recanati 1
Redmond 1
Rome 1
Rossiglione 1
Sesto San Giovanni 1
Seville 1
Sherbrooke 1
Shipley 1
Simi Valley 1
Sovere 1
Stockholm 1
Suceava 1
Tehran 1
Tokyo 1
Trieste 1
Valencia 1
Vilnius 1
Zhengzhou 1
Zhoushan 1
Çanakkale 1
Totale 1.025
Nome #
Content-Based Video Recommendation System Based on Stylistic Visual Features 154
User Interface Patterns in Recommendation-empowered Content Intensive Multimedia Applications 132
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? 132
Exploring the Semantic Gap for Movie Recommendations 129
Recommending Movies Based on Mise-en-Scene Design 125
Using Visual Features Based on MPEG-7 and Deep Learning for Movie Recommendation 118
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features 109
Interaction Design Patterns in Recommender Systems 88
Toward Effective Movie Recommendations Based on Mise-En-Scène Film Styles 88
Enhanced content based multimedia recommendation method 74
RecSys Challenge 2017: Offline and Online Evaluation 68
Using Visual Features and Latent Factors for Movie Recommendation 49
Investigating the decision making process of users based on the polimovie dataset 45
Totale 1.311
Categoria #
all - tutte 3.783
article - articoli 1.100
book - libri 0
conference - conferenze 2.505
curatela - curatele 0
other - altro 0
patent - brevetti 178
selected - selezionate 0
volume - volumi 0
Totale 7.566


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020249 0 0 6 20 33 40 26 25 24 22 40 13
2020/2021155 10 16 11 13 5 10 2 12 19 24 18 15
2021/2022117 2 10 10 3 30 4 2 10 7 6 17 16
2022/2023234 20 27 6 23 41 29 2 19 36 17 11 3
2023/202495 5 15 0 3 6 18 1 20 0 13 0 14
2024/20256 0 6 0 0 0 0 0 0 0 0 0 0
Totale 1.311