TY  - GEN
AB  - 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).
AU  - Dokoohaki, Nima,
AU  - Jaradat, Shatha,
AU  - Corona Pampín, Humberto Jesús,
AU  - Shirvany, Reza,
CN  - ZA3084
CN  - Q325.5
DO  - 10.1007/978-3-030-66103-8
DO  - doi
ID  - 1435231
KW  - Recommender systems (Information filtering)
KW  - Fashion merchandising
KW  - Human-computer interaction.
KW  - Machine learning.
KW  - Systèmes de recommandation (Filtrage d'information)
KW  - Mode
KW  - Apprentissage automatique.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66103-8
N2  - 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).
SN  - 9783030661038
SN  - 3030661032
T1  - Recommender systems in fashion and retail /
TI  - Recommender systems in fashion and retail /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66103-8
VL  - volume 734
ER  -