|
gptkbp:instance_of
|
gptkb:Research_Institute
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Fashion-MNIST
gptkb:Fashion_MNIST
|
|
gptkbp:aims_to
|
Customer experience
Sales performance
User engagement
Logistics efficiency
Product recommendations
Fashion retail
|
|
gptkbp:collaborates_with
|
Universities
Industry partners
|
|
gptkbp:contributed_to
|
Open source projects
|
|
gptkbp:develops
|
Innovative solutions
Prototypes
|
|
gptkbp:employs
|
gptkb:physicist
Data scientists
Software engineers
|
|
gptkbp:engages_in
|
Mentorship programs
Collaborative projects
Internship programs
|
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
gptkb:shopping_mall
Data science
Machine learning
Fashion technology
|
|
gptkbp:has_location
|
gptkb:Berlin
gptkb:Düsseldorf
gptkb:Munich
|
|
gptkbp:has_website
|
https://research.zalando.com
|
|
gptkbp:hosts
|
gptkb:Workshops
Conferences
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Zalando Research
|
|
gptkbp:is_active_in
|
European market
Global market
|
|
gptkbp:is_known_for
|
Industry partnerships
Innovative research
Cutting-edge technology
|
|
gptkbp:is_part_of
|
gptkb:Zalando_Group
|
|
gptkbp:part_of
|
gptkb:Zalando_SE
|
|
gptkbp:participates_in
|
Hackathons
Industry events
|
|
gptkbp:publishes
|
Research papers
|
|
gptkbp:receives_funding_from
|
gptkb:Zalando_SE
|
|
gptkbp:supports
|
gptkb:Sustainability_initiatives
Diversity in tech
|
|
gptkbp:utilizes
|
Big data
Predictive analytics
User behavior analysis
|