Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This allows practitioners in the field to evaluate and compare their algorithms with existing approaches.

The mapped datasets are LastFM, Movielens1M and LibraryThing. You may find more information about each mapping in the relative README files. In particular, we mapped 11,180 out of 17,632 artists in LastFM, 3,300 out of a total of 3,883 movies in Movielens1M, and 11,694 out of 37,231 books in LibraryThing.

If you are interested in knowing more about how to use this data, you can have a look at these papers:

@Article{DOTD16,
author = {Tommaso {Di Noia} and Vito Claudio Ostuni and Paolo Tomeo and Eugenio {Di Sciascio}},
title = "SPRank: Semantic Path-based Ranking for Top-N Recommendations using Linked Open Data",
journal = "ACM Transactions on Intelligent Systems and Technology (TIST)",
year = "2016",
note = "to appear",
url = "http://sisinflab.poliba.it/sisinflab/publications/2016/DOTD16"
}

or

@inproceedings{Ostuni:2013:TRI:2507157.2507172,
author = {Ostuni, Vito Claudio and Di Noia, Tommaso and Di Sciascio, Eugenio and Mirizzi, Roberto},
title = {Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data},
booktitle = {Proceedings of the 7th ACM Conference on Recommender Systems},
series = {RecSys '13},
year = {2013},
isbn = {978-1-4503-2409-0},
location = {Hong Kong, China},
pages = {85--92},
numpages = {8},
url = {http://doi.acm.org/10.1145/2507157.2507172},
doi = {10.1145/2507157.2507172},
acmid = {2507172},
publisher = {ACM},
address = {New York, NY, USA},
}

or

@inproceedings{DiNoia:2012:LOD:2362499.2362501,
author = {Di Noia, Tommaso and Mirizzi, Roberto and Ostuni, Vito Claudio and Romito, Davide and Zanker, Markus}, title = {Linked Open Data to Support Content-based Recommender Systems},
booktitle = {Proceedings of the 8th International Conference on Semantic Systems},
series = {I-SEMANTICS '12},
year = {2012},
isbn = {978-1-4503-1112-0},
location = {Graz, Austria},
pages = {1--8},
numpages = {8},
url = {http://doi.acm.org/10.1145/2362499.2362501},
doi = {10.1145/2362499.2362501},
acmid = {2362501},
publisher = {ACM},
address = {New York, NY, USA},
}

Please, visit http://sisinflab.poliba.it/semanticweb/lod/recsys/datasets/ for more information about the datasets.

Tommaso Di Noia, tommaso [dot] dinoia [at] poliba [dot] it

Paolo Tomeo, paolo [dot] tomeo [at] poliba [dot] it

Vito Claudio Ostuni, vitoclaudio [dot] ostuni [at] poliba [dot] it