ELAHI, MEHDI
 Distribuzione geografica
Continente #
NA - Nord America 900
EU - Europa 341
AS - Asia 97
AF - Africa 13
OC - Oceania 2
SA - Sud America 1
Totale 1.354
Nazione #
US - Stati Uniti d'America 877
IT - Italia 112
AT - Austria 77
CN - Cina 40
SE - Svezia 34
DE - Germania 30
CA - Canada 23
ES - Italia 18
FI - Finlandia 18
SG - Singapore 18
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 1.354
Città #
Fairfield 117
Woodbridge 107
Chandler 103
Vienna 75
Ashburn 71
Houston 60
Santa Clara 53
Wilmington 49
Seattle 44
Cambridge 40
Ann Arbor 32
Dearborn 32
Milan 24
Ottawa 21
Grafing 14
Málaga 14
Abidjan 13
Amman 13
Boardman 13
Medford 13
Singapore 13
Helsinki 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
Toronto 1
Trieste 1
Valencia 1
Vilnius 1
Zhengzhou 1
Zhoushan 1
Çanakkale 1
Totale 1.093
Nome #
Content-Based Video Recommendation System Based on Stylistic Visual Features 163
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? 138
User Interface Patterns in Recommendation-empowered Content Intensive Multimedia Applications 137
Exploring the Semantic Gap for Movie Recommendations 136
Recommending Movies Based on Mise-en-Scene Design 131
Using Visual Features Based on MPEG-7 and Deep Learning for Movie Recommendation 125
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features 115
Interaction Design Patterns in Recommender Systems 95
Toward Effective Movie Recommendations Based on Mise-En-Scène Film Styles 94
Enhanced content based multimedia recommendation method 80
RecSys Challenge 2017: Offline and Online Evaluation 74
Using Visual Features and Latent Factors for Movie Recommendation 56
Investigating the decision making process of users based on the polimovie dataset 52
Totale 1.396
Categoria #
all - tutte 4.152
article - articoli 1.201
book - libri 0
conference - conferenze 2.748
curatela - curatele 0
other - altro 0
patent - brevetti 203
selected - selezionate 0
volume - volumi 0
Totale 8.304


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020223 0 0 0 0 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
2024/202591 0 6 4 15 66 0 0 0 0 0 0 0
Totale 1.396