{"id":"https://openalex.org/W4297971002","doi":"https://doi.org/10.1145/2872427.2883037","title":"Ups and Downs","display_name":"Ups and Downs","publication_year":2016,"publication_date":"2016-04-11","ids":{"openalex":"https://openalex.org/W4297971002","doi":"https://doi.org/10.1145/2872427.2883037"},"language":"en","primary_location":{"id":"doi:10.1145/2872427.2883037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872427.2883037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"preprint","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/A5109587088","display_name":"Ruining He","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruining He","raw_affiliation_strings":["University of California, San Diego, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["University of California, San Diego, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109587088"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":171.2573,"has_fulltext":false,"cited_by_count":1373,"citation_normalized_percentile":{"value":0.9998027,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8092046976089478},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6939989924430847},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6562193036079407},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5981833934783936},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5870116949081421},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5803508758544922},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4731884002685547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46414580941200256},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46232014894485474},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4414599537849426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43134814500808716},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4237414002418518},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38307273387908936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092046976089478},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6939989924430847},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6562193036079407},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5981833934783936},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5870116949081421},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5803508758544922},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4731884002685547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46414580941200256},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46232014894485474},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4414599537849426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43134814500808716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4237414002418518},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38307273387908936},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2872427.2883037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872427.2883037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W54392637","https://openalex.org/W1556081409","https://openalex.org/W1965355809","https://openalex.org/W1967836590","https://openalex.org/W1975946664","https://openalex.org/W1991055526","https://openalex.org/W1992799034","https://openalex.org/W2009678853","https://openalex.org/W2009727399","https://openalex.org/W2027731328","https://openalex.org/W2057763140","https://openalex.org/W2057991616","https://openalex.org/W2064754513","https://openalex.org/W2101409192","https://openalex.org/W2124187902","https://openalex.org/W2132708887","https://openalex.org/W2136891251","https://openalex.org/W2139095291","https://openalex.org/W2143183660","https://openalex.org/W2146851707","https://openalex.org/W2147169507","https://openalex.org/W2155893237","https://openalex.org/W2159155347","https://openalex.org/W2165949563","https://openalex.org/W2166237624","https://openalex.org/W2166242527","https://openalex.org/W2171677167","https://openalex.org/W2221507685","https://openalex.org/W2251814753","https://openalex.org/W2962883796","https://openalex.org/W4212882790"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2508671622","https://openalex.org/W1497071005"],"abstract_inverted_index":{"Building":[0],"a":[1,125],"successful":[2],"recommender":[3],"system":[4],"depends":[5],"on":[6,99,146],"understanding":[7],"both":[8],"the":[9,34,39,65,71,82,105,139,169,174],"dimensions":[10],"of":[11,42,57,70,177],"people's":[12],"preferences":[13,27],"as":[14,16,23,44,46,133,135],"well":[15,45,134],"their":[17,47,100],"dynamics.":[18],"In":[19,74],"certain":[20],"domains,":[21],"such":[22,26],"fashion,":[24],"modeling":[25],"can":[28],"be":[29],"incredibly":[30],"difficult,":[31],"due":[32],"to":[33,36,91,157,167],"need":[35],"simultaneously":[37],"model":[38],"visual":[40,109,121],"appearance":[41],"products":[43],"evolution":[48,59],"over":[49],"time.":[50],"The":[51],"subtle":[52],"semantics":[53],"and":[54,67,107,163],"non-linear":[55],"dynamics":[56],"fashion":[58,171],"raise":[60],"unique":[61],"challenges":[62],"especially":[63],"considering":[64],"sparsity":[66],"large":[68,148],"scale":[69],"underlying":[72],"datasets.":[73],"this":[75],"paper":[76],"we":[77,142,154],"build":[78],"novel":[79],"models":[80],"for":[81],"One-Class":[83],"Collaborative":[84],"Filtering":[85],"setting,":[86],"where":[87,153],"our":[88,117,144,178],"goal":[89],"is":[90],"estimate":[92],"users'":[93,130],"fashion-aware":[94],"personalized":[95,160],"ranking":[96,161],"functions":[97],"based":[98],"past":[101,131],"feedback.":[102],"To":[103],"uncover":[104],"complex":[106],"evolving":[108,136],"factors":[110],"that":[111],"people":[112],"consider":[113],"when":[114],"evaluating":[115],"products,":[116],"method":[118,145],"combines":[119],"high-level":[120,170],"features":[122],"extracted":[123],"from":[124,151],"deep":[126],"convolutional":[127],"neural":[128],"network,":[129],"feedback,":[132],"trends":[137,172],"within":[138],"community.":[140],"Experimentally":[141],"evaluate":[143],"two":[147],"real-world":[149],"datasets":[150],"Amazon.com,":[152],"show":[155],"it":[156,166],"outperform":[158],"state-of-the-art":[159],"measures,":[162],"also":[164],"use":[165],"visualize":[168],"across":[173],"11-year":[175],"span":[176],"dataset.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":189},{"year":2024,"cited_by_count":172},{"year":2023,"cited_by_count":217},{"year":2022,"cited_by_count":207},{"year":2021,"cited_by_count":172},{"year":2020,"cited_by_count":140},{"year":2019,"cited_by_count":135},{"year":2018,"cited_by_count":84},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2022-10-01T00:00:00"}