Serendipitous Personalized Ranking for Top-N Recommendation

@article{Lu2012SerendipitousPR,
  title={Serendipitous Personalized Ranking for Top-N Recommendation},
  author={Qiuxia Lu and T. Chen and W. Zhang and Diyi Yang and Y. Yu},
  journal={2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology},
  year={2012},
  volume={1},
  pages={258-265}
}
  • Qiuxia Lu, T. Chen, +2 authors Y. Yu
  • Published 2012
  • Computer Science
  • 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
  • Serendipitous recommendation has benefitted both e-retailers and users. It tends to suggest items which are both unexpected and useful to users. These items are not only profitable to the retailers but also surprisingly suitable to consumers' tastes. However, due to the imbalance in observed data for popular and tail items, existing collaborative filtering methods fail to give satisfactory serendipitous recommendations. To solve this problem, we propose a simple and effective method, called… CONTINUE READING

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