A social network-aware top-N recommender system using GPU.
Ruifeng LiYin ZhangHaihan YuXiaojun WangJiangqin WuBaogang WeiPublished in: JCDL (2011)
Keyphrases
- user behavior
- recommender systems
- user preferences
- social networks
- implicit feedback
- social networking
- collaborative filtering
- social network analysis
- real time
- online dating
- online social networks
- graphics hardware
- information filtering
- information diffusion
- gpu accelerated
- parallel implementation
- information overload
- social relationships
- parallel computation
- information flow
- social communities
- social interaction
- movie recommendation
- personalized recommendation
- matrix factorization
- social media
- gpu implementation
- user similarity
- social roles
- cold start problem
- community discovery
- parallel programming
- graphics processing units
- parallel computing