ML Anthology

Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness

Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang
IJCAI 2017 pp. 2744-2750
doi:10.24963/IJCAI.2017/382 /ijcai/2017/song2017ijcai-recommendation/
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Cite

Text

Song et al. "Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/382

Markdown

[Song et al. "Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/song2017ijcai-recommendation/) doi:10.24963/IJCAI.2017/382

BibTeX

@inproceedings{song2017ijcai-recommendation,
  title     = {{Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness}},
  author    = {Song, Kaisong and Gao, Wei and Feng, Shi and Wang, Daling and Wong, Kam-Fai and Zhang, Chengqi},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {2744-2750},
  doi       = {10.24963/IJCAI.2017/382},
  url       = {https://mlanthology.org/ijcai/2017/song2017ijcai-recommendation/}
}