KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
This provides a public dataset to facilitate knowledge-aware recommender system research, addressing a data bottleneck in the field.
The authors tackled the lack of public linked knowledge base datasets for recommender systems by creating KB4Rec v1.0, which links three widely used RS datasets with Freebase, and they performed qualitative analysis and compared knowledge-aware recommendation algorithms on this dataset.
To develop a knowledge-aware recommender system, a key data problem is how we can obtain rich and structured knowledge information for recommender system (RS) items. Existing datasets or methods either use side information from original recommender systems (containing very few kinds of useful information) or utilize private knowledge base (KB). In this paper, we present the first public linked KB dataset for recommender systems, named KB4Rec v1.0, which has linked three widely used RS datasets with the popular KB Freebase. Based on our linked dataset, we first preform some interesting qualitative analysis experiments, in which we discuss the effect of two important factors (i.e. popularity and recency) on whether a RS item can be linked to a KB entity. Finally, we present the comparison of several knowledge-aware recommendation algorithms on our linked dataset.