|
gptkbp:instance_of
|
gptkb:recommendations
|
|
gptkbp:can_be_extended_by
|
custom algorithms
|
|
gptkbp:can_be_used_for
|
trend analysis
user segmentation
A/ B testing
recommendation diversity
|
|
gptkbp:can_be_used_in
|
e-commerce
online advertising
social networks
media streaming
|
|
gptkbp:can_handle
|
large datasets
|
|
gptkbp:community_support
|
active community
|
|
gptkbp:deployment
|
cloud platforms
on-premises servers
|
|
gptkbp:developed_by
|
gptkb:Tensor_Flow
|
|
gptkbp:has_documentation
|
available online
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TF Recommenders
|
|
gptkbp:integrates_with
|
gptkb:Tensor_Flow_Extended_(TFX)
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving
|
|
gptkbp:is_based_on
|
Tensor Flow framework
|
|
gptkbp:is_compatible_with
|
gptkb:Java
gptkb:C++
gptkb:Python
gptkb:Java_Script
|
|
gptkbp:is_designed_for
|
flexibility
modularity
performance optimization
ease of use
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
machine learning frameworks
Tensor Flow ecosystem
|
|
gptkbp:is_scalable
|
gptkb:true
|
|
gptkbp:is_supported_by
|
gptkb:Kubernetes
gptkb:Apache_Kafka
gptkb:Google_Cloud_AI
gptkb:weapons
|
|
gptkbp:is_updated_by
|
gptkb:true
|
|
gptkbp:is_used_by
|
gptkb:developers
data scientists
machine learning engineers
|
|
gptkbp:offers
|
real-time recommendations
|
|
gptkbp:provides
|
evaluation metrics
scalability features
model training tools
user-item interaction modeling
|
|
gptkbp:suitable_for
|
research and production
|
|
gptkbp:supports
|
stream processing
multi-task learning
batch processing
collaborative filtering
deep learning models
content-based filtering
|
|
gptkbp:used_for
|
personalized recommendations
|
|
gptkbp:bfsParent
|
gptkb:tensorflow
gptkb:Tensor_Flow_Core
|
|
gptkbp:bfsLayer
|
6
|