Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

By Iván Cantador, Peter Brusilovsky, T. Kuflik. ACM Conference on Recommender Systems, 2011

383 citations recorded by the source corpus.

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Tag-Aware Personalized Recommendation Using a Hybrid Deep Model (2017, background): “Fm online music system, respectively, and are both released in HetRec et al. , 2011].”
Social Network and Tag Sources Based Augmenting Collaborative Recommender System (2015, methodology): “Apart from Last.fm dataset, we also use Movielens dataset [19] to test the performance of recommenders with ratings and tags.”
A Comprehensive Survey on Community Detection With Deep Learning (2021, background): “Community structure plays a vital role in graph-based recommendation systems [151]–[153], as the community members may have similar interests and preferences.”
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks (2021, methodology): “We use the subset released by HetRec 2011 [4], and preprocess the dataset by filtering out the users and tags with only one link.”