Improving group recommendations via detecting comprehensive correlative information

@article{Feng2015ImprovingGR,
  title={Improving group recommendations via detecting comprehensive correlative information},
  author={Shanshan Feng and Jian Cao},
  journal={Multimedia Tools and Applications},
  year={2015},
  volume={76},
  pages={1355-1377}
}
Traditionally, recommender systems are applied to recommending items to individual users. However, there has been a proliferation of recommender systems that try to make recommendations to user groups. Although several approaches were proposed to generate group recommendations, they made recommendations simply through aggregating individual ratings or individual predicted results, rather than comprehensively investigating the inherent relationships between members and the group, which can be… CONTINUE READING

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