User action interpretation for personalized content optimization in recommender systems

@inproceedings{Dong2011UserAI,
  title={User action interpretation for personalized content optimization in recommender systems},
  author={Anlei Dong and Jiang Bian and Xiaofeng He and Srihari Reddy and Yi Chang},
  booktitle={CIKM},
  year={2011}
}
User interaction plays a vital role in recommender systems. Previous studies on algorithmic recommender systems have mainly focused on modeling techniques and feature development. Traditionally, implicit user feedback or explicit user ratings on the recommended items form the basis for designing and training of recommendation algorithms. But user… CONTINUE READING