Experiments codes for the paper:
Chen Lin, Dugang Liu, Hanghang Tong and Yanghua Xiao. Spiral of Silence and Its Application in Recommender Systems. Accepted by TKDE
This work is an extension of our WSDM 2019 paper. The new contents we have added include:
- Add new empirical study by considering six possible definitions of the majority opinion.
- Add three new models that mimic different components of the spiral of silence, i.e. MCO, MCC and MCM model.
- Add new dataset and experiment results, i.e. Coat shopping dataset and Parameter Influence.
- Other improvements that have been made throughout the whole paper.
Data is not suit to submit on github. You can get the dataset in the following two ways:
- Get the raw data from the Internet and modify it to the format we used in the experiment:
user, item, rating, timestamp, current average, rating distribution - Request directly from us
If you have any issues or ideas, feel free to contact us (dugang.ldg@gmail.com).