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Dianping_SIGIR14

This is the anonymized Dianping dataset used in our SIGIR'14 paper. It contains 11,352 users, 10,657 restaurants and 501,472 ratings from April 2003 to November 2013 in Shanghai, China. For the social friend network, there are a total of 280,041 claimed social relationships (directed edge). We cleaned those edges that point to users who do not have ratings in this dataset, while we used these edges in our experiments. Thus the edge number is smaller than we reported in the paper. Please see README file for details of data format. [download]

Dianping_RecSys15

This is part of the anonymized Dianping dataset used in our RecSys'15 paper. It contains 147,918 users, 11,123 restaurants and 2,149,675 ratings from April 2003 to November 2013 in Shanghai, China. For the social friend network, there are a total of 629,618 claimed social relationships (undirected edge). For privacy issue, we do not include the user information and restaurant attributes which can be used to identify a real person. Please see README file for details of data format. [download]

Citation

If you use Dianping dataset, please cite our papers [bib]:

[1] Hui Li, Dingming Wu, and Nikos Mamoulis. A revisit to social network-based recommender systems. In SIGIR, pages 1239--1242. ACM, 2014.
[2] Hui Li, Dingming Wu, Wenbin Tang, and Nikos Mamoulis. Overlapping community regularization for rating prediction in social recommender systems. In RecSys, pages 27--34. ACM, 2015.