找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Recommender Systems in Fashion and Retail; Proceedings of the F Humberto Jesús Corona Pampín,Reza Shirvany Conference proceedings 2023 The

[復制鏈接]
查看: 41348|回復: 41
樓主
發(fā)表于 2025-3-21 16:10:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recommender Systems in Fashion and Retail
副標題Proceedings of the F
編輯Humberto Jesús Corona Pampín,Reza Shirvany
視頻videohttp://file.papertrans.cn/825/824135/824135.mp4
概述Offers the best contributions of the fourth workshop on recommender systems in fashion and retail.Presents a state-of-the-art view of recommender systems for e-commerce.Provides readers with chapters
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Recommender Systems in Fashion and Retail; Proceedings of the F Humberto Jesús Corona Pampín,Reza Shirvany Conference proceedings 2023 The
描述.This book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), 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, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). .
出版日期Conference proceedings 2023
關鍵詞Recommender Systems; Information Retrieval; Information Systems; Machine Learning; AI Artificial Intelli
版次1
doihttps://doi.org/10.1007/978-3-031-22192-7
isbn_softcover978-3-031-22194-1
isbn_ebook978-3-031-22192-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Recommender Systems in Fashion and Retail影響因子(影響力)




書目名稱Recommender Systems in Fashion and Retail影響因子(影響力)學科排名




書目名稱Recommender Systems in Fashion and Retail網絡公開度




書目名稱Recommender Systems in Fashion and Retail網絡公開度學科排名




書目名稱Recommender Systems in Fashion and Retail被引頻次




書目名稱Recommender Systems in Fashion and Retail被引頻次學科排名




書目名稱Recommender Systems in Fashion and Retail年度引用




書目名稱Recommender Systems in Fashion and Retail年度引用學科排名




書目名稱Recommender Systems in Fashion and Retail讀者反饋




書目名稱Recommender Systems in Fashion and Retail讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-22 00:19:22 | 只看該作者
1876-1100 ctive within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). .978-3-031-22194-1978-3-031-22192-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
板凳
發(fā)表于 2025-3-22 03:38:11 | 只看該作者
地板
發(fā)表于 2025-3-22 05:14:43 | 只看該作者
5#
發(fā)表于 2025-3-22 09:03:24 | 只看該作者
6#
發(fā)表于 2025-3-22 13:55:19 | 只看該作者
Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems,sted in examining the application of attacks generated by adversarial machine learning techniques to the vertical domain of fashion and retail products. Specifically, the present work focuses on the robustness of cutting-edge CNN models against state-of-the-art adversarial machine learning attacks t
7#
發(fā)表于 2025-3-22 20:28:34 | 只看該作者
Contrastive Learning for Topic-Dependent Image Ranking,ning successfully provided good content to users. In this line of work, we propose a novel method for .. For a given product, we can commonly imagine selecting the representative from several images describing the product to sell it with intuitive visual information. In this case, we should consider
8#
發(fā)表于 2025-3-22 22:19:49 | 只看該作者
9#
發(fā)表于 2025-3-23 04:26:36 | 只看該作者
End-to-End Image-Based Fashion Recommendation,nts to many traditional models, including but not limited to matrix factorization, auto-encoders, and nearest neighbor models. While there are numerous image-based recommender approaches that utilize dedicated deep neural networks, comparisons to attribute-aware models are often disregarded despite
10#
發(fā)表于 2025-3-23 09:21:25 | 只看該作者
Conference proceedings 2023art 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 ar
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-30 05:23
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
本溪市| 称多县| 辽宁省| 永昌县| 太白县| 漠河县| 大英县| 石棉县| 东丰县| 靖边县| 加查县| 广丰县| 苗栗县| 安阳市| 舒兰市| 凭祥市| 清徐县| 耒阳市| 古浪县| 七台河市| 昆山市| 华亭县| 信阳市| 宜川县| 平湖市| 商水县| 谢通门县| 抚宁县| 霍林郭勒市| 开封市| 平乐县| 花莲县| 锡林浩特市| 洛南县| 东丽区| 安庆市| 寿光市| 日照市| 永昌县| 泸定县| 石阡县|