{"id":"https://openalex.org/W4386728909","doi":"https://doi.org/10.1145/3604915.3609495","title":"On Challenges of Evaluating Recommender Systems in an Offline Setting","display_name":"On Challenges of Evaluating Recommender Systems in an Offline Setting","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386728909","doi":"https://doi.org/10.1145/3604915.3609495"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3609495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3609495","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3609495","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3609495","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0764-4258","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100618738"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.7937,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88392218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1284","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.9163157343864441},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.8364006280899048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525370121002197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4480196535587311},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4060061275959015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3123489022254944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06913149356842041}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9163157343864441},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.8364006280899048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525370121002197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4480196535587311},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4060061275959015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3123489022254944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06913149356842041},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604915.3609495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3609495","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3609495","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3604915.3609495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3609495","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3609495","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320332906","display_name":"Swenson College of Science and Engineering, University of Minnesota Duluth","ror":"https://ror.org/01hy4qx27"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386728909.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2753074643","https://openalex.org/W2957191877","https://openalex.org/W2987577970","https://openalex.org/W3088444111","https://openalex.org/W3088694469","https://openalex.org/W3105114834","https://openalex.org/W3125645198","https://openalex.org/W3154199194","https://openalex.org/W3201258060","https://openalex.org/W4220840776","https://openalex.org/W4229000037","https://openalex.org/W4283018239","https://openalex.org/W4283379500","https://openalex.org/W4283587264","https://openalex.org/W4283836492","https://openalex.org/W4284706321","https://openalex.org/W4292092796","https://openalex.org/W4384648390"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0,68],"the":[1,5,51,61,65,75,83,97,103],"past":[2],"20":[3],"years,":[4],"area":[6],"of":[7,25,41,64,85,99],"Recommender":[8],"Systems":[9],"(RecSys)":[10],"has":[11],"gained":[12],"significant":[13],"attention":[14],"from":[15,35,116],"both":[16],"academia":[17],"and":[18,56],"industry.":[19],"We":[20],"are":[21],"not":[22,58],"in":[23,39,44,79,89,102],"short":[24],"research":[26],"papers":[27],"on":[28],"various":[29],"RecSys":[30,66,80],"models":[31],"or":[32],"online":[33],"systems":[34,88],"industry":[36],"players.":[37],"However,":[38],"terms":[40],"model":[42],"evaluation":[43],"offline":[45,91],"settings,":[46],"many":[47],"researchers":[48],"simply":[49],"follow":[50],"commonly":[52,76],"adopted":[53,77],"experiment":[54],"setup,":[55],"have":[57,113],"zoomed":[59],"into":[60],"unique":[62],"characteristics":[63],"problem.":[67],"this":[69],"tutorial,":[70],"I":[71],"will":[72],"briefly":[73],"review":[74],"evaluations":[78],"then":[81],"discuss":[82],"challenges":[84],"evaluating":[86],"recommender":[87],"an":[90],"setting.":[92],"The":[93],"main":[94],"emphasis":[95],"is":[96],"consideration":[98],"global":[100],"timeline":[101],"evaluation,":[104],"particularly":[105],"when":[106],"a":[107,117],"dataset":[108],"covers":[109],"user-item":[110],"interactions":[111],"that":[112],"been":[114],"collected":[115],"long":[118],"time":[119],"period.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}