{"id":"https://openalex.org/W2951661358","doi":"https://doi.org/10.1145/3292500.3330716","title":"Infer Implicit Contexts in Real-time Online-to-Offline Recommendation","display_name":"Infer Implicit Contexts in Real-time Online-to-Offline Recommendation","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2951661358","doi":"https://doi.org/10.1145/3292500.3330716","mag":"2951661358"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330716","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 ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.04924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xichen Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xichen Ding","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tracy Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tracy Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xu","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaping Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Zhang","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shi","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qixia Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixia Jiang","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Shen","raw_affiliation_strings":["Koubei, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Koubei, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":1.7575,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88485096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2336","last_page":"2346"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.986299991607666,"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/leverage","display_name":"Leverage (statistics)","score":0.7204999923706055},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5583999752998352},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4909999966621399},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47360000014305115},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.454800009727478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645999789237976},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7204999923706055},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5583999752998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5537999868392944},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47360000014305115},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.305400013923645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29350000619888306},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3292500.3330716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330716","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 ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.04924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.04924","pdf_url":"https://arxiv.org/pdf/1907.04924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.04924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.04924","pdf_url":"https://arxiv.org/pdf/1907.04924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2025768430","https://openalex.org/W2054141820","https://openalex.org/W2130868038","https://openalex.org/W2253995343","https://openalex.org/W2746812884","https://openalex.org/W2793768763","https://openalex.org/W2884134047","https://openalex.org/W2891127200","https://openalex.org/W2962739339","https://openalex.org/W2963323306"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"users'":[1,38,47,111],"context":[2],"is":[3,26,55,60],"essential":[4],"for":[5,9,64,173,179],"successful":[6],"recommendations,":[7],"especially":[8,51],"Online-to-Offline":[10],"(O2O)":[11],"recommendation,":[12],"such":[13],"as":[14],"Yelp,":[15],"Groupon,":[16],"and":[17,42,58,86,106,140,154,176],"Koubei.":[18,199],"Different":[19],"from":[20],"traditional":[21],"recommendation":[22,30,197],"where":[23],"individual":[24],"preference":[25],"mostly":[27],"static,":[28],"O2O":[29,65,94],"should":[31],"be":[32],"dynamic":[33],"to":[34,82,88,109,124],"capture":[35],"variation":[36],"of":[37,92,143,193],"purposes":[39],"across":[40],"time":[41],"location.":[43],"However,":[44],"precisely":[45],"inferring":[46],"real-time":[48,93],"contexts":[49,85,108],"information,":[50],"those":[52],"implicit":[53,84,112],"ones,":[54],"extremely":[56],"difficult,":[57],"it":[59],"a":[61,72,170],"central":[62],"challenge":[63],"recommendation.":[66,95,127],"In":[67,96],"this":[68],"paper,":[69],"we":[70,98],"propose":[71],"new":[73],"approach,":[74],"called":[75],"Mixture":[76],"Attentional":[77],"Constrained":[78],"Denoise":[79],"AutoEncoder":[80],"(MACDAE),":[81],"infer":[83,110],"consequently,":[87],"improve":[89],"the":[90,101,116,126,133,144,191],"quality":[91],"MACDAE,":[97],"first":[99],"leverage":[100],"interaction":[102],"among":[103],"users,":[104],"items,":[105],"explicit":[107],"contexts,":[113],"then":[114],"combine":[115],"learned":[117],"implicit-context":[118],"representation":[119],"into":[120],"an":[121],"end-to-end":[122],"model":[123,186],"make":[125],"MACDAE":[128],"works":[129],"quite":[130],"well":[131],"in":[132,182,190,198],"real":[134],"system.":[135],"We":[136],"conducted":[137],"both":[138],"offline":[139],"online":[141,166],"evaluations":[142],"proposed":[145],"approach.":[146],"Experiments":[147],"on":[148],"several":[149],"real-world":[150,183],"datasets":[151],"(Yelp,":[152],"Dianping,":[153],"Koubei)":[155],"show":[156],"our":[157],"approach":[158],"could":[159],"achieve":[160],"significant":[161],"improvements":[162],"over":[163],"state-of-the-arts.":[164],"Furthermore,":[165],"A/B":[167],"test":[168],"suggests":[169],"2.9%":[171],"increase":[172],"click-through":[174],"rate":[175,181],"5.6%":[177],"improvement":[178],"conversion":[180],"traffic.":[184],"Our":[185],"has":[187],"been":[188],"deployed":[189],"product":[192],"\"Guess":[194],"You":[195],"Like\"":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2019-06-27T00:00:00"}