1.

Record Nr.

UNINA990003972130403321

Autore

Merlino, Myrta

Titolo

La moneta / Myrta Merlino ; prefazione di Mario Draghi

Pubbl/distr/stampa

Milano : Sperling & Kupfer, 2003

ISBN

88-200-3452-2

Descrizione fisica

271 p. ; 21 cm

Collana

Rai/Eri

Locazione

DECSE

Collocazione

SE117.01.20-

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNISA996209552603316

Autore

Hunter Ian

Titolo

Future of HR and the need for change [[electronic resource] ] : new operating models to deliver increased value / / Ian Hunter and Jane Saunders

Pubbl/distr/stampa

London, : Thorogood, 2004

ISBN

1-85418-611-6

1-4237-2135-7

Edizione

[2nd ed.]

Descrizione fisica

1 online resource (151 p.)

Altri autori (Persone)

SaundersJane

Disciplina

658.3

Soggetti

Human capital

Personnel management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph



3.

Record Nr.

UNINA9910678246403321

Titolo

Recommender Systems in Fashion and Retail : Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022) / / edited by Humberto Jesús Corona Pampín, Reza Shirvany

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-22192-3

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (125 pages)

Collana

Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 981

Disciplina

658.872

658.8720285633

Soggetti

Machine learning

Electronic commerce

Clothing and dress - Social aspects

Human body in popular culture

Social media

Data protection - Law and legislation

Machine Learning

e-Commerce and e-Business

Fashion and the Body

Social Media

Privacy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Identification of Fine-grained Fit Information from Customer Reviews in Fashion -- 2. Personalization through User Attributes for Transformer-based Sequential Recommendation -- 3. Reusable Self-Attention-based Recommender System for Fashion -- 4. Adversarial Attacks against Visually-aware Fashion Outfit Recommender Systems -- 5. Contrastive Learning for Topic-Dependent Image Ranking -- 6. A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail -- 7. End-to-End Image-Based Fashion Recommendation.

Sommario/riassunto

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).