{"id":"https://openalex.org/W3093133157","doi":"https://doi.org/10.1145/3340531.3412732","title":"P-Companion","display_name":"P-Companion","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093133157","doi":"https://doi.org/10.1145/3340531.3412732","mag":"3093133157"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3340531.3412732","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3340531.3412732","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 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3340531.3412732","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013699528","display_name":"Junheng Hao","orcid":"https://orcid.org/0000-0001-5292-9389"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junheng Hao","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101642118","display_name":"Tong Zhao","orcid":"https://orcid.org/0009-0000-2453-3774"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Zhao","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364819","display_name":"Jin Li","orcid":"https://orcid.org/0000-0003-0385-8793"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001402526","display_name":"Xin Luna Dong","orcid":"https://orcid.org/0009-0000-8667-322X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Luna Dong","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Amazon.com &amp; Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com &amp; Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213473","display_name":"Yizhou Sun","orcid":"https://orcid.org/0000-0003-1812-6843"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Sun","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5013699528"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":8.8881,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97838646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2517","last_page":"2524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.998199999332428,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.7763381004333496},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4958113133907318},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4877656102180481},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45809513330459595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3404250144958496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09451800584793091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763381004333496},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4958113133907318},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4877656102180481},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45809513330459595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3404250144958496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09451800584793091},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3340531.3412732","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3340531.3412732","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 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3340531.3412732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3340531.3412732","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3340531.3412732","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 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093133157.pdf","grobid_xml":"https://content.openalex.org/works/W3093133157.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1991418309","https://openalex.org/W2027731328","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2058436802","https://openalex.org/W2100235918","https://openalex.org/W2110893883","https://openalex.org/W2154851992","https://openalex.org/W2159094788","https://openalex.org/W2165949563","https://openalex.org/W2519887557","https://openalex.org/W2521429215","https://openalex.org/W2527430057","https://openalex.org/W2531633107","https://openalex.org/W2616769589","https://openalex.org/W2624431344","https://openalex.org/W2782696945","https://openalex.org/W2888780421","https://openalex.org/W2892485145","https://openalex.org/W2912011540","https://openalex.org/W2962756421","https://openalex.org/W2962870495","https://openalex.org/W2963460103","https://openalex.org/W2963857660","https://openalex.org/W2963858333","https://openalex.org/W2964341035","https://openalex.org/W2981612821","https://openalex.org/W3099845332","https://openalex.org/W3104097132","https://openalex.org/W3122507327","https://openalex.org/W4249267926","https://openalex.org/W4288083766","https://openalex.org/W4299895393"],"related_works":["https://openalex.org/W1843462531","https://openalex.org/W2940562565","https://openalex.org/W2055709700","https://openalex.org/W91919785","https://openalex.org/W1503053695","https://openalex.org/W2806860970","https://openalex.org/W2964226882","https://openalex.org/W4287585430","https://openalex.org/W2987958590","https://openalex.org/W2997403743"],"abstract_inverted_index":{"If":[0],"one":[1,64,167],"customer":[2],"buys":[3],"a":[4,46,50,111,152,186,237],"tennis":[5,18],"racket,":[6],"what":[7],"are":[8,40,59,104],"the":[9,76,92,127,146,195,210,215,263],"best":[10],"3":[11,17,21,23],"complementary":[12,70,107,182,203,211],"products":[13,71,103,234,281],"to":[14,44,67,90,99,114,124,144,157,179,193,200,232,236,274],"purchase":[15,148],"together?":[16],"ball":[19],"packs,":[20],"headbands,":[22],"overgrips,":[24],"or":[25],"1":[26],"of":[27,53,72,197],"each":[28,201,220],"respectively?":[29],"Complementary":[30],"product":[31,37,168,171,183,199,204,240,289],"recommendation":[32],"(CPR),":[33],"aiming":[34],"at":[35,282],"providing":[36],"suggestions":[38],"that":[39,101,132,254],"often":[41],"bought":[42],"together":[43],"serve":[45],"joint":[47],"demand,":[48,149],"forms":[49],"pivotal":[51],"component":[52],"e-commerce":[54],"service,":[55],"however,":[56],"existing":[57,97,130],"methods":[58],"far":[60],"from":[61,129,228],"optimal.":[62],"Given":[63],"product,":[65],"how":[66],"recommend":[68],"its":[69,170],"different":[73],"types":[74],"is":[75,191],"key":[77],"problem":[78],"we":[79,150,271],"tackle":[80],"in":[81,126],"this":[82],"work.":[83],"We":[84],"first":[85,174],"conduct":[86],"an":[87,176],"extensive":[88],"analysis":[89],"correct":[91],"inaccurate":[93],"assumptions":[94],"adopted":[95],"by":[96,259],"work":[98,131],"show":[100,253],"co-purchased":[102],"not":[105,135],"always":[106],"and":[108,162,207,230,284,291],"further":[109,208],"propose":[110],"new":[112],"strategy":[113],"generate":[115],"clean":[116],"distant":[117,216],"supervision":[118,217],"labels":[119,218],"for":[120,278],"CPR":[121,133],"modeling.":[122],"Moreover,":[123],"bridge":[125],"gap":[128],"does":[134],"only":[136],"need":[137],"relevance":[138,161],"modeling":[139],"but":[140],"also":[141],"requires":[142],"diversity":[143],"fulfill":[145],"whole":[147,223],"develop":[151],"deep":[153],"learning":[154,189],"framework,":[155],"P-Companion":[156,173,255,273],"explicitly":[158],"model":[159],"both":[160],"diversity.":[163,269],"More":[164],"specifically,":[165],"given":[166],"with":[169,267],"type,":[172],"uses":[175],"encoder-decoder":[177],"network":[178,190],"predict":[180],"multiple":[181],"types,":[184],"then":[185],"transfer":[187],"metric":[188],"developed":[192],"project":[194],"embedding":[196,241],"query":[198],"predicted":[202],"type":[205],"subspace":[206],"learn":[209],"relationship":[212],"based":[213,245],"on":[214,246,262,288],"within":[219],"subspace.":[221],"The":[222],"framework":[224],"can":[225],"be":[226],"trained":[227],"end-to-end":[229],"robust":[231],"cold-start":[233],"attributed":[235],"novel":[238],"pretrained":[239],"module":[242],"named":[243],"Product2Vec,":[244],"graph":[247],"attention":[248],"networks.":[249],"Extensive":[250],"offline":[251],"experiments":[252],"outperforms":[256],"state-of-the-art":[257],"baselines":[258],"7.1%":[260],"increase":[261],"[email":[264],"protected]":[265],"score":[266],"well-controlled":[268],"Production-wise,":[270],"deploy":[272],"provide":[275],"online":[276],"recommendations":[277],"over":[279],"200M":[280],"Amazon":[283],"observe":[285],"significant":[286],"gains":[287],"sales":[290],"profit.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2020-10-22T00:00:00"}
