{"id":"https://openalex.org/W4386730005","doi":"https://doi.org/10.1145/3604915.3608877","title":"Improving Recommender Systems Through the Automation of Design Decisions","display_name":"Improving Recommender Systems Through the Automation of Design Decisions","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386730005","doi":"https://doi.org/10.1145/3604915.3608877"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608877","pdf_url":null,"source":null,"license":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023751378","display_name":"Lukas Wegmeth","orcid":"https://orcid.org/0000-0001-8848-9434"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Wegmeth","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8848-9434","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023751378"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.4484,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68930079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1332","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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":0.9055236577987671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429913878440857},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6920492053031921},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5920284986495972},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5905938148498535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4114207625389099},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38924676179885864},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25063222646713257},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10546010732650757}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9055236577987671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429913878440857},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6920492053031921},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5920284986495972},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5905938148498535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4114207625389099},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38924676179885864},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25063222646713257},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10546010732650757},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604915.3608877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608877","pdf_url":null,"source":null,"license":null,"license_id":null,"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":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W1966553486","https://openalex.org/W1978271507","https://openalex.org/W1980110184","https://openalex.org/W1985476803","https://openalex.org/W1997136459","https://openalex.org/W2009415795","https://openalex.org/W2023954349","https://openalex.org/W2025220724","https://openalex.org/W2030808931","https://openalex.org/W2078488685","https://openalex.org/W2081614392","https://openalex.org/W2155106456","https://openalex.org/W2156455250","https://openalex.org/W2754493004","https://openalex.org/W2776933647","https://openalex.org/W2791231497","https://openalex.org/W2800818180","https://openalex.org/W2966284335","https://openalex.org/W2972862932","https://openalex.org/W3081745399","https://openalex.org/W3092103025","https://openalex.org/W3097232347","https://openalex.org/W3103510571","https://openalex.org/W3123920941","https://openalex.org/W3161633503","https://openalex.org/W3164008977","https://openalex.org/W3175956061","https://openalex.org/W3209828932","https://openalex.org/W3215469691","https://openalex.org/W4206747164","https://openalex.org/W4288083766","https://openalex.org/W4290875300","https://openalex.org/W4292092796","https://openalex.org/W4313558118","https://openalex.org/W4320908195","https://openalex.org/W6946066278"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,18,87,109,124,152],"developers":[2,110],"are":[3,63,137],"constantly":[4],"faced":[5],"with":[6,27,166,218],"difficult":[7,141],"design":[8,119],"decisions.":[9,120],"Additionally,":[10,145,190],"the":[11,45,73,85,92,116,158,167,186,221,233,247,272,277],"number":[12],"of":[13,102,118,160,169,223,235,249,276,279],"options":[14],"that":[15,246],"a":[16,36,71,255],"recommender":[17,86,108,123,151,170,205],"developer":[19],"has":[20,40,89],"to":[21,43,52,106,112,129,139,150,163,204,210,220,253,264],"consider":[22],"continually":[23],"grows":[24],"over":[25],"time":[26],"new":[28,80],"innovations.":[29],"The":[30,100],"machine":[31,54,67],"learning":[32,55,68],"community":[33,75,88,256],"is":[34,104,175,192,251,263],"in":[35,178,260],"similar":[37],"situation":[38],"and":[39,50,59,77,96,136,181,225,242,281],"come":[41],"together":[42],"tackle":[44],"problem.":[46],"They":[47],"invented":[48],"concepts":[49],"tools":[51,270],"make":[53],"development":[56,168,180,188,234],"both":[57,217],"easier":[58,148],"faster.":[60],"These":[61],"developments":[62],"categorized":[64],"as":[65,155],"automated":[66],"(AutoML).":[69],"As":[70],"result,":[72],"AutoML":[74,199,224],"formed":[76],"continuously":[78],"innovates":[79],"approaches.":[81,227],"Inspired":[82],"by":[83,214],"AutoML,":[84,174],"recently":[90],"understood":[91],"need":[93],"for":[94,153,239,271],"automation":[95,117,237],"sparsely":[97],"introduced":[98],"AutoRecSys.":[99],"goal":[101],"AutoRecSys":[103,146,216,250,266,283],"not":[105,127,183,193],"replace":[107],"but":[111,133],"improve":[113],"performance":[114],"through":[115],"With":[121],"AutoRecSys,":[122,172],"engineers":[125],"do":[126],"have":[128],"focus":[130,230],"on":[131,232],"easy":[132],"time-consuming":[134],"tasks":[135,143],"free":[138],"pursue":[140],"engineering":[142],"instead.":[144],"enables":[147],"access":[149],"beginners":[154],"it":[156,191],"reduces":[157],"amount":[159],"knowledge":[161],"required":[162],"get":[164],"started":[165],"systems.":[171,206],"like":[173],"still":[176],"early":[177],"its":[179],"does":[182],"yet":[184,194],"cover":[185],"whole":[187],"pipeline.":[189],"clear,":[195],"under":[196],"which":[197],"circumstances":[198],"approaches":[200,238],"can":[201],"be":[202,254],"transferred":[203],"Our":[207,258],"research":[208,265],"intends":[209],"close":[211],"this":[212,261],"gap":[213],"improving":[215],"regard":[219],"transfer":[222],"novel":[226,236],"Furthermore,":[228],"we":[229],"specifically":[231],"data":[240],"processing":[241],"training.":[243],"We":[244],"note":[245],"realization":[248],"going":[252],"effort.":[257],"part":[259],"effort":[262],"fundamentals,":[267],"build":[268],"practical":[269],"community,":[273],"raise":[274],"awareness":[275],"advantages":[278],"automation,":[280],"catalyze":[282],"development.":[284]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}