Dr. Riccardo Scott
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Tag: scalability
10 items with this tag.
16 Jul 2025
Recommender Systems
recommender-systems
machine-learning
graph-database
neo4j
architecture
content-based-filtering
collaborative-filtering
deep-learning
embeddings
fastrp
feature-engineering
data-pipeline
performance
scalability
steam
production-systems
gds
personalisation
16 Jul 2025
Production-Ready API Design for Recommendations
recommender-systems
fastapi
api-design
production-systems
microservices
rest-api
performance
scalability
caching
monitoring
logging
error-handling
health-checks
load-balancing
docker
deployment
steam
python
async-programming
rate-limiting
authentication
observability
sla
11 Jul 2025
Matrix Factorisation Approaches | ALS, BPR, and Beyond
recommender-systems
matrix-factorization
als
bpr
machine-learning
implicit-feedback
collaborative-filtering
latent-factors
bayesian-personalised-ranking
alternating-least-squares
python
scikit-learn
implicit-library
sparse-matrices
performance
scalability
steam
production-systems
ranking
embeddings
11 Jul 2025
Deep Learning for Recommendations | Two-Tower and Neural CF
recommender-systems
deep-learning
neural-networks
two-tower-architecture
neural-collaborative-filtering
pytorch
pytorch-lightning
machine-learning
embeddings
non-linear-interactions
feature-engineering
scalability
performance
steam
production-systems
graph-database
neo4j
dot-product-similarity
neural-cf
mlp
11 Jul 2025
Collaborative Filtering with Graph Algorithms
recommender-systems
collaborative-filtering
graph-database
neo4j
graph-algorithms
gds
similarity-algorithms
jaccard-similarity
node-similarity
machine-learning
scalability
performance
real-time
steam
production-systems
cypher
bipartite-graph
memory-optimisation
user-item-matrix
11 Jul 2025
FastRP | Universal Node Embeddings for Multi-Type Recommendations
recommender-systems
fastrp
embeddings
graph-database
neo4j
gds
node-embeddings
vector-similarity
cross-type-recommendations
universal-embeddings
random-projection
machine-learning
scalability
performance
steam
production-systems
cypher
cosine-similarity
multi-modal
graph-algorithms
02 Jul 2025
Data Import Strategies | Neo4j Driver vs. Admin Bulk Import
recommender-systems
neo4j
data-import
graph-database
performance
etl
bulk-import
transaction-processing
csv-import
postgresql
data-pipeline
batch-processing
streaming
pandas
polars
optimisation
benchmarking
scalability
steam
python
docker
machine-learning
02 Jul 2025
Content-Based Recommendations | From Features to Vectors
recommender-systems
content-based-filtering
feature-engineering
graph-database
neo4j
vector-similarity
sparse-vectors
knn
cosine-similarity
cypher
graph-traversal
machine-learning
gds
personalisation
cold-start
performance
scalability
steam
one-hot-encoding
hybrid-systems
explainable-ai
feature-store
02 Jul 2025
Graph Database Design for Recommender Systems
recommender-systems
graph-database
neo4j
database-design
schema-design
performance
scalability
cypher
data-modelling
indexing
constraints
graph-algorithms
feature-engineering
collaborative-filtering
content-based-filtering
embeddings
fastrp
gds
steam
production-systems
machine-learning
02 Jul 2025
Building a Multi-Modal Recommender System
recommender-systems
architecture
microservices
neo4j
graph-database
machine-learning
content-based-filtering
collaborative-filtering
deep-learning
embeddings
fastrp
fastapi
pytorch
docker
steam
production-systems
algorithms
data-pipeline
schema-design
performance
scalability