{"id":"https://openalex.org/W3028826689","doi":"https://doi.org/10.1145/3374135.3385283","title":"Using Deep Learning and Steam User Data for Better Video Game Recommendations","display_name":"Using Deep Learning and Steam User Data for Better Video Game Recommendations","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3028826689","doi":"https://doi.org/10.1145/3374135.3385283","mag":"3028826689"},"language":"en","primary_location":{"id":"doi:10.1145/3374135.3385283","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023982780","display_name":"Dylan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dylan Wang","raw_affiliation_strings":["Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021884742","display_name":"Melody Moh","orcid":"https://orcid.org/0000-0002-8313-6645"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melody Moh","raw_affiliation_strings":["Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019298277","display_name":"Teng-Sheng Moh","orcid":"https://orcid.org/0000-0002-2726-102X"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teng-Sheng Moh","raw_affiliation_strings":["Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jos\u00e9 State University, San Jos\u00e9, CA, USA","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023982780"],"corresponding_institution_ids":["https://openalex.org/I51504820"],"apc_list":null,"apc_paid":null,"fwci":1.6014,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87580504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T11197","display_name":"Digital Games and Media","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8015263676643372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586700916290283},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6031367778778076},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5665279626846313},{"id":"https://openalex.org/keywords/login","display_name":"Login","score":0.5628472566604614},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.5347816944122314},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4831230342388153},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.45915308594703674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.318602979183197},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2923206090927124},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.124744713306427}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8015263676643372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586700916290283},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6031367778778076},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5665279626846313},{"id":"https://openalex.org/C113324615","wikidata":"https://www.wikidata.org/wiki/Q472302","display_name":"Login","level":2,"score":0.5628472566604614},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.5347816944122314},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4831230342388153},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.45915308594703674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.318602979183197},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2923206090927124},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.124744713306427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374135.3385283","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2144807535","https://openalex.org/W2556365628","https://openalex.org/W2944523378","https://openalex.org/W2945114750","https://openalex.org/W2946911467","https://openalex.org/W2964450656","https://openalex.org/W2966600787","https://openalex.org/W2970839003","https://openalex.org/W2977752635","https://openalex.org/W3007408473"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4235220108","https://openalex.org/W4256170434","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2970845521"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1,20,189],"have":[2],"been":[3],"used":[4,116],"widely":[5],"in":[6,146,209,229],"many":[7],"industries,":[8],"including":[9],"online":[10],"retail,":[11],"movies,":[12],"and":[13,31,60,66,111,218,228],"news":[14],"media.":[15],"Indeed,":[16],"video":[17,132],"game":[18,32,58,88,121,133],"recommendation":[19,80,134,171,184],"are":[21],"one":[22],"of":[23,106],"the":[24,84,137,142,161,177,191,195,203],"most":[25],"important":[26],"tools":[27],"available":[28],"to":[29,62,117,154,165,202],"users":[30,97],"distribution":[33,89],"platforms":[34],"today.":[35],"A":[36],"good":[37],"recommender":[38],"can":[39,75],"help":[40,118],"customers":[41],"find":[42],"games":[43],"they":[44],"might":[45],"like":[46],"faster,":[47],"not":[48],"only":[49],"making":[50],"it":[51],"easier":[52],"for":[53,129,136],"them":[54],"but":[55],"also":[56,159],"helping":[57],"distributors":[59],"developers":[61],"increase":[63],"their":[64],"sales":[65],"improve":[67,183],"customer":[68],"satisfaction":[69],"ratings.":[70],"One":[71],"such":[72],"platform":[73],"that":[74,176],"greatly":[76],"benefit":[77],"from":[78],"a":[79,94,103,127,130,149],"system":[81,135,208],"is":[82],"Steam,":[83],"largest":[85],"digital":[86],"PC":[87],"platform.":[90,139],"Steam":[91,138,143],"sees":[92],"over":[93],"dozen":[95],"million":[96],"login":[98],"every":[99],"day.":[100],"It":[101],"collects":[102],"considerable":[104],"amount":[105],"data":[107,113,145,164,180],"on":[108],"each":[109],"user,":[110],"this":[112],"may":[114],"be":[115],"make":[119],"better":[120],"recommendations.":[122],"This":[123],"paper":[124],"proposes":[125],"STEAMer,":[126],"solution":[128],"new":[131],"STEAMer":[140,198],"utilizes":[141],"user":[144,163,179,193],"conjunction":[147],"with":[148],"deep":[150,168,196,205],"autoencoder":[151],"learning":[152],"model":[153],"generate":[155],"potential":[156],"recommendations;":[157],"we":[158],"apply":[160],"additional":[162,178,192],"an":[166],"existing":[167],"neural":[169,206],"network-based":[170,207],"system.":[172],"Performance":[173],"evaluation":[174],"shows":[175],"does":[181],"indeed":[182],"performance.":[185],"Furthermore,":[186],"when":[187],"both":[188,210],"use":[190],"data,":[194],"autoencoder-based":[197],"still":[199],"proves":[200],"superior":[201],"baseline":[204],"mean":[211],"average":[212],"precision":[213],"@":[214,223],"10":[215,224],"([email":[216,225],"protected])":[217,226],"normalized":[219],"discounted":[220],"cumulative":[221],"gain":[222],"scores":[227],"diversity.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
