Predicting the popularity of web 2.0 items based on user comments

@inproceedings{He2014PredictingTP,
  title={Predicting the popularity of web 2.0 items based on user comments},
  author={Xiangnan He and Ming Gao and Min-Yen Kan and Yiqun Liu and Kazunari Sugiyama},
  booktitle={SIGIR},
  year={2014}
}
In the current Web 2.0 era, the popularity of Web resources fluctuates ephemerally, based on trends and social interest. As a result, content-based relevance signals are insufficient to meet users' constantly evolving information needs in searching for Web 2.0 items. Incorporating future popularity into ranking is one way to counter this. However, predicting popularity as a third party (as in the case of general search engines) is difficult in practice, due to their limited access to item view… CONTINUE READING
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