An intelligent recommendation approach for online advertising based on hybrid deep neural network and parallel computing.
Zilong JiangShu GaoPublished in: Clust. Comput. (2020)
Keyphrases
- parallel computing
- online advertising
- neural network
- behavioral targeting
- long tail
- user behavior
- massively parallel
- shared memory
- display advertising
- processing units
- computer architecture
- computing systems
- user experience
- parallel computation
- parallel programming
- user preferences
- parallel computers
- collaborative filtering
- recommender systems
- sponsored search
- multithreading
- parallel architectures
- internet advertising
- parallel machines
- learning to rank
- expert systems