XMUDM / TKDE19-Spiral-of-Silence

Experiments codes for TKDE paper "Spiral of Silence and Its Application in Recommender Systems"

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TKDE19_SpiralSilence


Experiments codes for the paper:

Chen Lin, Dugang Liu, Hanghang Tong and Yanghua Xiao. Spiral of Silence and Its Application in Recommender Systems. Submitted to TKDE


Motivation

This work is an extension of our WSDM 2019 paper. The new contents we have added include:

  1. Add new empirical study by considering five possible definitions of the majority opinion.
  2. Add three new models that mimic different components of the spiral of silence, i.e. MCO, MCC and MCM model.
  3. Add new dataset and experiment results, i.e. Coat shopping dataset and Parameter Influence.
  4. Other improvements that have been made throughout the whole paper.

Dataset

We don't upload the dataset file because the size is too large. You can get the dataset in the following two ways:

  1. 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
  2. Request directly from us

If you have any issues or ideas, feel free to contact us (dugang.ldg@gmail.com).

About

Experiments codes for TKDE paper "Spiral of Silence and Its Application in Recommender Systems"

License:GNU General Public License v3.0


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