{ "data_id": "44199", "name": "LastFM_dataset", "exact_name": "LastFM_dataset", "version": 1, "version_label": "1", "description": "Last FM Dataset\n\n-------\nVersion\n-------\n\nVersion 1.0 (May 2011)\n\n-----------\nDescription\n-----------\n\n This dataset contains social networking, tagging, and music artist listening information \n from a set of 2K users from Last.fm online music system.\n http:\/\/www.last.fm \n\n The dataset is released in the framework of the 2nd International Workshop on \n Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011) \n http:\/\/ir.ii.uam.es\/hetrec2011 \n at the 5th ACM Conference on Recommender Systems (RecSys 2011)\n http:\/\/recsys.acm.org\/2011 \n\n------- \nLicense\n-------\n\n The users' names and other personal information in Last.fm are not provided in the dataset.\n\n The data contained in hetrec2011-lastfm-2k.zip is made available for non-commercial use.\n \n Those interested in using the data in a commercial context should contact Last.fm staff:\n http:\/\/www.lastfm.com\/about\/contact\n\n----------------\nAcknowledgements\n----------------\n\n This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), \n and the Regional Government of Madrid (S2009TIC-1542).\n\n----------\nReferences\n----------\n\n When using this dataset you should cite:\n - Last.fm website, http:\/\/www.lastfm.com\n\n You may also cite HetRec'11 workshop as follows:\n\n @inproceedings{Cantador:RecSys2011,\n author = {Cantador, Iv\\'{a}n and Brusilovsky, Peter and Kuflik, Tsvi},\n title = {2nd Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)},\n booktitle = {Proceedings of the 5th ACM conference on Recommender systems},\n series = {RecSys 2011},\n year = {2011},\n location = {Chicago, IL, USA},\n publisher = {ACM},\n address = {New York, NY, USA},\n keywords = {information heterogeneity, information integration, recommender systems},\n } ", "format": "arff", "uploader": "Giulio Filippi", "uploader_id": 31955, "visibility": "public", "creator": "Information Retrieval Group at Universidad Autonoma de Madrid", "contributor": null, "date": "2022-09-08 16:25:11", "update_comment": null, "last_update": "2022-09-08 16:25:11", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22103414\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "LastFM_dataset", "Last FM Dataset ------- Version ------- Version 1.0 (May 2011) ----------- Description ----------- This dataset contains social networking, tagging, and music artist listening information from a set of 2K users from Last.fm online music system. http:\/\/www.last.fm The dataset is released in the framework of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011) http:\/\/ir.ii.uam.es\/hetrec2011 at the 5th ACM Conference on Recommender Systems (Rec " ], "weight": 5 }, "qualities": { "NumberOfInstances": 289955, "NumberOfFeatures": 4, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": null, "PercentageOfNumericFeatures": 25, "Dimensionality": 1.379524408960011e-5, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Meteorology" } ], "features": [ { "name": "user", "index": "0", "type": "numeric", "distinct": "15000", "missing": "0", "min": "1", "max": "19718", "mean": "9852", "stdev": "5692" }, { "name": "artist", "index": "1", "type": "string", "distinct": "1004", "missing": "0" }, { "name": "sex", "index": "2", "type": "string", "distinct": "2", "missing": "0" }, { "name": "country", "index": "3", "type": "string", "distinct": "159", "missing": "0" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }