{"id":"https://openalex.org/W3012952868","doi":"https://doi.org/10.1145/3366423.3380187","title":"Personalized Ranking with Importance Sampling","display_name":"Personalized Ranking with Importance Sampling","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012952868","doi":"https://doi.org/10.1145/3366423.3380187","mag":"3012952868"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380187","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380187","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380187","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Defu Lian","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085254654"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":16.4116,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.99081698,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1093","last_page":"1103"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9977999925613403,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9829000234603882,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7868186831474304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7388628721237183},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5674474239349365},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5487960577011108},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5222592949867249},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5091137290000916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4678327143192291},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46375635266304016},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4606359899044037},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4519902169704437},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4318869709968567},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4257514178752899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4127134680747986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13286817073822021}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7868186831474304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388628721237183},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5674474239349365},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5487960577011108},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222592949867249},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5091137290000916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4678327143192291},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46375635266304016},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4606359899044037},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4519902169704437},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4318869709968567},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4257514178752899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4127134680747986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13286817073822021},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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:10.1145/3366423.3380187","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380187","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380187","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380187","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W36903255","https://openalex.org/W1503398984","https://openalex.org/W1976999215","https://openalex.org/W1991418309","https://openalex.org/W2023603028","https://openalex.org/W2080371694","https://openalex.org/W2097732278","https://openalex.org/W2099471712","https://openalex.org/W2101409192","https://openalex.org/W2102035799","https://openalex.org/W2116064496","https://openalex.org/W2119384858","https://openalex.org/W2124187902","https://openalex.org/W2135790056","https://openalex.org/W2140310134","https://openalex.org/W2152790380","https://openalex.org/W2153579005","https://openalex.org/W2157881433","https://openalex.org/W2340502990","https://openalex.org/W2405923393","https://openalex.org/W2546915671","https://openalex.org/W2547875792","https://openalex.org/W2565948352","https://openalex.org/W2574890576","https://openalex.org/W2604433096","https://openalex.org/W2619206542","https://openalex.org/W2624617553","https://openalex.org/W2782298158","https://openalex.org/W2791723757","https://openalex.org/W2904474160","https://openalex.org/W2909137510","https://openalex.org/W2921521223","https://openalex.org/W2964324019","https://openalex.org/W3101023724"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3168154995","https://openalex.org/W2036613096","https://openalex.org/W2364400397","https://openalex.org/W2293317945","https://openalex.org/W4318960487","https://openalex.org/W4312091775","https://openalex.org/W1786507113","https://openalex.org/W2745068631","https://openalex.org/W161037631"],"abstract_inverted_index":{"As":[0],"the":[1,30,62,72,86,147,182,188,203],"task":[2],"of":[3,11,33,89,127,136,170,212],"predicting":[4],"a":[5,9,104,125],"personalized":[6],"ranking":[7,25,106],"on":[8,109,200],"set":[10],"items,":[12],"item":[13,34,43,184],"recommendation":[14,185],"has":[15],"become":[16],"an":[17],"important":[18],"way":[19],"to":[20,83,132,142,152,193,208,216],"address":[21],"information":[22],"overload.":[23],"Optimizing":[24],"loss":[26,107,148,204],"aligns":[27],"better":[28,120,210],"with":[29,49,71,166,191],"ultimate":[31],"goal":[32],"recommendation,":[35,44],"so":[36,97,112],"many":[37],"ranking-based":[38,63,79],"methods":[39,64],"were":[40],"proposed":[41,162],"for":[42],"such":[45],"as":[46],"collaborative":[47],"filtering":[48],"Bayesian":[50],"Personalized":[51],"Ranking":[52],"(BPR)":[53],"loss,":[54],"and":[55,154,173,187,215],"Weighted":[56],"Approximate-Rank":[57],"Pairwise":[58],"(WARP)":[59],"loss.":[60],"However,":[61],"can":[65,118,155],"not":[66,96],"consistently":[67,180],"beat":[68],"regression-based":[69],"models":[70],"gravity":[73],"regularizer.":[74],"The":[75,161,175],"key":[76],"challenge":[77],"in":[78],"optimization":[80],"is":[81,139,150,206],"difficult":[82],"fully":[84],"use":[85,153,211],"limited":[87],"number":[88],"negative":[90,116,128,137,213,219],"samples,":[91],"particularly":[92],"when":[93,221],"they":[94,179,222],"are":[95,164,196,223],"informative.":[98,225],"To":[99],"this":[100],"end,":[101],"we":[102],"propose":[103],"new":[105],"based":[108],"importance":[110],"sampling":[111],"that":[113,178],"more":[114,197,224],"informative":[115],"samples":[117,138,214,220],"be":[119,156],"used.":[121],"We":[122],"then":[123],"design":[124],"series":[126],"samplers":[129],"from":[130,140],"simple":[131],"complex,":[133],"whose":[134],"informativeness":[135],"less":[141],"more.":[143],"With":[144],"these":[145],"samplers,":[146],"function":[149,205],"easy":[151],"optimized":[157],"by":[158],"popular":[159],"solvers.":[160],"algorithms":[163],"evaluated":[165],"five":[167],"real-world":[168],"datasets":[169],"varying":[171],"size":[172],"difficulty.":[174],"results":[176],"show":[177],"outperform":[181],"state-of-the-art":[183],"algorithms,":[186],"relative":[189],"improvements":[190],"respect":[192],"[email":[194],"protected]":[195],"than":[198],"19.2%":[199],"average.":[201],"Moreover,":[202],"verified":[207],"make":[209],"require":[217],"fewer":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
