語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Recommender systems in fashion and r...
~
Dokoohaki, Nima.
FindBook
Google Book
Amazon
博客來
Recommender systems in fashion and retail
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Recommender systems in fashion and retail/ edited by Nima Dokoohaki ... [et al.].
其他作者:
Dokoohaki, Nima.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
v, 160 p. :ill., digital ;24 cm.
內容註:
Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations -- Chapter 2. Probabilistic Color Modelling of Clothing Items -- Chapter 3. User Aesthetics Identification for Fashion Recommendations -- Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load -- Chapter 5. Attention Gets You the Right Size and Fit in Fashion -- Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation -- Chapter 7. Outfit Generation and Recommendation - An Experimental Study -- Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process.
Contained By:
Springer Nature eBook
標題:
Recommender systems (Information filtering) -
電子資源:
https://doi.org/10.1007/978-3-030-66103-8
ISBN:
9783030661038
Recommender systems in fashion and retail
Recommender systems in fashion and retail
[electronic resource] /edited by Nima Dokoohaki ... [et al.]. - Cham :Springer International Publishing :2021. - v, 160 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v.7341876-1100 ;. - Lecture notes in electrical engineering ;v.734..
Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations -- Chapter 2. Probabilistic Color Modelling of Clothing Items -- Chapter 3. User Aesthetics Identification for Fashion Recommendations -- Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load -- Chapter 5. Attention Gets You the Right Size and Fit in Fashion -- Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation -- Chapter 7. Outfit Generation and Recommendation - An Experimental Study -- Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process.
This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers)
ISBN: 9783030661038
Standard No.: 10.1007/978-3-030-66103-8doiSubjects--Topical Terms:
1002434
Recommender systems (Information filtering)
LC Class. No.: Q325.5 / .R436 2021
Dewey Class. No.: 025.04
Recommender systems in fashion and retail
LDR
:02364nmm a2200349 a 4500
001
2239302
003
DE-He213
005
20210715095832.0
006
m d
007
cr nn 008maaau
008
211111s2021 sz s 0 eng d
020
$a
9783030661038
$q
(electronic bk.)
020
$a
9783030661021
$q
(paper)
024
7
$a
10.1007/978-3-030-66103-8
$2
doi
035
$a
978-3-030-66103-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
$b
.R436 2021
072
7
$a
UNF
$2
bicssc
072
7
$a
COM021030
$2
bisacsh
072
7
$a
UNF
$2
thema
072
7
$a
UYQE
$2
thema
082
0 4
$a
025.04
$2
23
090
$a
Q325.5
$b
.R311 2021
245
0 0
$a
Recommender systems in fashion and retail
$h
[electronic resource] /
$c
edited by Nima Dokoohaki ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
v, 160 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in electrical engineering,
$x
1876-1100 ;
$v
v.734
505
0
$a
Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations -- Chapter 2. Probabilistic Color Modelling of Clothing Items -- Chapter 3. User Aesthetics Identification for Fashion Recommendations -- Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load -- Chapter 5. Attention Gets You the Right Size and Fit in Fashion -- Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation -- Chapter 7. Outfit Generation and Recommendation - An Experimental Study -- Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process.
520
$a
This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers)
650
0
$a
Recommender systems (Information filtering)
$3
1002434
650
0
$a
Fashion merchandising
$x
Data processing.
$3
3332975
650
0
$a
Human-computer interaction.
$3
560071
650
0
$a
Machine learning.
$3
533906
650
1 4
$a
Data Mining and Knowledge Discovery.
$3
898250
650
2 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
e-Commerce/e-business.
$3
1005486
650
2 4
$a
Structural Materials.
$3
898417
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
890871
700
1
$a
Dokoohaki, Nima.
$3
3380391
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in electrical engineering ;
$v
v.734.
$3
3493220
856
4 0
$u
https://doi.org/10.1007/978-3-030-66103-8
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9401187
電子資源
11.線上閱覽_V
電子書
EB Q325.5 .R436 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入