Analysing Compression Techniques for In-Memory Collaborative Filtering.
Saúl VargasCraig MacdonaldIadh OunisPublished in: RecSys Posters (2015)
Keyphrases
- collaborative filtering
- recommender systems
- random access
- image compression
- matrix factorization
- memory requirements
- compression ratio
- user preferences
- compression scheme
- data compression
- data sparsity
- memory space
- memory usage
- compressed data
- memory size
- recommendation systems
- limited memory
- neighbor selection
- web page recommendation
- computing power
- compression rate
- user ratings
- associative memory
- main memory
- cold start
- cold start problem
- multiresolution
- low memory
- latent factor models
- similarity measure
- clustering algorithm