{"id":"https://openalex.org/W2618830698","doi":"https://doi.org/10.1145/3019612.3019758","title":"Offline performance vs. subjective quality experience","display_name":"Offline performance vs. subjective quality experience","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2618830698","doi":"https://doi.org/10.1145/3019612.3019758","mag":"2618830698"},"language":"en","primary_location":{"id":"doi:10.1145/3019612.3019758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3019612.3019758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Applied Computing","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/A5005545405","display_name":"Dietmar Jannach","orcid":"https://orcid.org/0000-0002-4698-8507"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dietmar Jannach","raw_affiliation_strings":["TU Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025663172","display_name":"Lukas Lerche","orcid":"https://orcid.org/0000-0002-4027-6840"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Lerche","raw_affiliation_strings":["TU Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86940574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9966999888420105,"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":0.9966999888420105,"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":0.996399998664856,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9657999873161316,"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/computer-science","display_name":"Computer science","score":0.816498875617981},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6993839144706726},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6034672856330872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5407469272613525},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5379951596260071},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5377988815307617},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5196536779403687},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5147709846496582},{"id":"https://openalex.org/keywords/online-and-offline","display_name":"Online and offline","score":0.4891689121723175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48327094316482544},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.45548126101493835},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4381958246231079},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40864086151123047},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36114710569381714},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11145484447479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816498875617981},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6993839144706726},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6034672856330872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5407469272613525},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5379951596260071},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5377988815307617},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5196536779403687},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5147709846496582},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.4891689121723175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48327094316482544},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.45548126101493835},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4381958246231079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40864086151123047},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36114710569381714},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11145484447479248},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3019612.3019758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3019612.3019758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W29625609","https://openalex.org/W153313452","https://openalex.org/W1224564842","https://openalex.org/W1609013173","https://openalex.org/W1981844236","https://openalex.org/W2005263397","https://openalex.org/W2082029016","https://openalex.org/W2094286023","https://openalex.org/W2138216384","https://openalex.org/W2140310134","https://openalex.org/W2150886314","https://openalex.org/W2163162311","https://openalex.org/W2210543184","https://openalex.org/W2296169340","https://openalex.org/W2516364559"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Research":[0],"in":[1,54,88,122,130,152],"the":[2,34,48,55,64,102,110,118,140],"field":[3],"of":[4,51,57,90,101,132,154],"recommender":[5],"systems":[6],"is":[7],"largely":[8],"based":[9],"on":[10,13],"offline":[11,49,73,141],"experimentation":[12],"historical":[14],"datasets.":[15],"Several":[16],"recent":[17],"works":[18],"however":[19],"suggest":[20],"that":[21,31,76,115],"models":[22],"optimized":[23,79],"for":[24,80],"accuracy":[25,94],"measures":[26],"are":[27],"not":[28,136],"necessarily":[29],"those":[30],"lead":[32],"to":[33,104],"best":[35,87],"user":[36,70,111],"experience":[37],"or":[38],"perceived":[39,65,155],"system":[40],"utility.":[41],"In":[42,109],"this":[43],"work":[44],"we":[45],"first":[46],"determine":[47],"performance":[50],"different":[52],"algorithms":[53,103,124],"domain":[56],"video":[58],"game":[59],"recommendation":[60,66],"and":[61],"then":[62],"investigate":[63],"quality":[67],"through":[68],"a":[69,98],"study.":[71],"The":[72],"results":[74],"show":[75],"learning-to-rank":[77],"methods":[78,114,145],"implicit":[81],"feedback":[82],"situations":[83],"as":[84],"expected":[85,138],"perform":[86,125],"terms":[89,131,153],"accuracy,":[91,133],"where":[92],"higher":[93],"often":[95],"comes":[96],"with":[97],"stronger":[99],"tendency":[100],"recommend":[105],"mostly":[106],"popular":[107],"items.":[108],"study,":[112],"however,":[113],"also":[116,147],"consider":[117],"similarity":[119],"between":[120],"items":[121],"their":[123],"at":[126],"least":[127],"equally":[128],"well":[129],"which":[134],"could":[135],"be":[137],"from":[139],"experiment.":[142],"Such":[143],"content-enhanced":[144],"were":[146],"slightly":[148],"favored":[149],"by":[150],"users":[151],"transparency.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
