The collected data from Facebook profiles about personal preferences (“likes”) for items in three domains: movies, books and music. After a process of user anonymization recommendation in set
The training set, the test set and the mapping files are available at eswc2015-lod recsys . .
For each domain (movies, books and music) this archive contains:
the userID itemID the itemID
The dataset contains 3225 items for the book domains, 6372 items for the music domains and 5389 items for the movie
The training set contains 11600 ratings for the book domains, 854016 ratings for the music domains and 638268 ratings for the movie domains.
- Further investigation of the dataset
- After checking the
dataset - 52,072 users with 21 liked items on av
er - Can construct 5 test cases and others for training
cases - Some bad characters within URIs such as http://dbpedia.org/resource/S�bastien_Tellier can be found through
SPARQL query like below:
select distinct ?s where {
?s ?p ?o .
?s <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> ?o1 .
VALUES (?o1) {(<http://dbpedia.org/ontology/MusicalArtist>) (<http://dbpedia.org/ontology/Band>)}
FILTER regex(str(?s), "http://dbpedia.org/resource/S.*bastien_Tellier")
} LIMIT 100
