Serendipitous Personalized Ranking for Top-N Recommendation

  title={Serendipitous Personalized Ranking for Top-N Recommendation},
  author={Qiuxia Lu and Tianqi Chen and Weinan Zhang and Diyi Yang and Yong Yu},
  journal={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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