{"id":"https://openalex.org/W4386907860","doi":"https://doi.org/10.1145/3583780.3615498","title":"RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation","display_name":"RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4386907860","doi":"https://doi.org/10.1145/3583780.3615498"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.10469","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037370648","display_name":"Ning Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Wu","raw_affiliation_strings":["Microsoft STCA, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft STCA, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640051","display_name":"Ming Gong","orcid":"https://orcid.org/0000-0001-6140-7187"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gong","raw_affiliation_strings":["Microsoft STCA, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft STCA, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077262995","display_name":"Linjun Shou","orcid":"https://orcid.org/0000-0002-1050-7708"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Shou","raw_affiliation_strings":["Microsoft STCA, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft STCA, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060116992","display_name":"Daxin Jiang","orcid":"https://orcid.org/0000-0002-6657-5806"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Jiang","raw_affiliation_strings":["Microsoft STCA, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft STCA, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037370648"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20856095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4871","last_page":"4878"},"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/T10028","display_name":"Topic Modeling","score":0.9927999973297119,"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":0.9889000058174133,"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":0.8722112774848938},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7210296392440796},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6762433052062988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4501865804195404},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4443660378456116},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4311102628707886},{"id":"https://openalex.org/keywords/clickstream","display_name":"Clickstream","score":0.43093156814575195},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4102778732776642},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26744645833969116},{"id":"https://openalex.org/keywords/web-server","display_name":"Web server","score":0.2602859139442444},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2194531261920929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21780702471733093},{"id":"https://openalex.org/keywords/web-api","display_name":"Web API","score":0.11038869619369507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10556700825691223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8722112774848938},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7210296392440796},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6762433052062988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4501865804195404},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4443660378456116},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4311102628707886},{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.43093156814575195},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4102778732776642},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26744645833969116},{"id":"https://openalex.org/C11392498","wikidata":"https://www.wikidata.org/wiki/Q11288","display_name":"Web server","level":3,"score":0.2602859139442444},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2194531261920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21780702471733093},{"id":"https://openalex.org/C127613066","wikidata":"https://www.wikidata.org/wiki/Q557770","display_name":"Web API","level":4,"score":0.11038869619369507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10556700825691223},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2309.10469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.10469","pdf_url":"https://arxiv.org/pdf/2309.10469","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.10469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.10469","pdf_url":"https://arxiv.org/pdf/2309.10469","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307764","display_name":"Microsoft","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386907860.pdf","grobid_xml":"https://content.openalex.org/works/W4386907860.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2072787293","https://openalex.org/W2140310134","https://openalex.org/W2141596757","https://openalex.org/W2171279286","https://openalex.org/W2236009467","https://openalex.org/W2512965516","https://openalex.org/W2614730315","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2746011824","https://openalex.org/W2783272285","https://openalex.org/W2792839191","https://openalex.org/W2883722483","https://openalex.org/W2896457183","https://openalex.org/W2937556626","https://openalex.org/W2945623882","https://openalex.org/W2963091558","https://openalex.org/W2963367478","https://openalex.org/W2963743018","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2965373594","https://openalex.org/W2970087231","https://openalex.org/W2970597249","https://openalex.org/W2981852735","https://openalex.org/W2984100107","https://openalex.org/W2996428491","https://openalex.org/W3005680577","https://openalex.org/W3034671305","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036446966","https://openalex.org/W3065542300","https://openalex.org/W3080292238","https://openalex.org/W3094605801","https://openalex.org/W3098087397","https://openalex.org/W3098231197","https://openalex.org/W3099152386","https://openalex.org/W3100260481","https://openalex.org/W3102619277","https://openalex.org/W3104353018","https://openalex.org/W3133849783","https://openalex.org/W3153325943","https://openalex.org/W3168875417","https://openalex.org/W3171007011","https://openalex.org/W3195554589","https://openalex.org/W3203749733","https://openalex.org/W3206127589","https://openalex.org/W3206455169","https://openalex.org/W3208227120","https://openalex.org/W3208380962","https://openalex.org/W4207008429","https://openalex.org/W4220894025","https://openalex.org/W4220907840","https://openalex.org/W4225791184","https://openalex.org/W4287592659","https://openalex.org/W4288089799","https://openalex.org/W4292779060","https://openalex.org/W4297808394","https://openalex.org/W4299286960","https://openalex.org/W4306317697","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W1493153155","https://openalex.org/W2789872759","https://openalex.org/W2154850984","https://openalex.org/W2975622968","https://openalex.org/W2395287825","https://openalex.org/W2999859704","https://openalex.org/W4389608763","https://openalex.org/W2352626522","https://openalex.org/W1504772951","https://openalex.org/W2964859466"],"abstract_inverted_index":{"Online":[0],"recommender":[1,82],"systems":[2],"(RS)":[3],"aim":[4],"to":[5,23,49,96,118,123,144,174,206,240],"match":[6],"user":[7,25,43,51,61,89,164,195],"needs":[8],"with":[9,136,198],"the":[10,29,67,146,154,160,185,190,242],"vast":[11],"amount":[12],"of":[13,31,55,107,244,247],"resources":[14],"available":[15],"on":[16,159,216],"various":[17,207],"platforms.":[18],"A":[19],"key":[20],"challenge":[21],"is":[22,189],"model":[24],"preferences":[26],"accurately":[27],"under":[28],"condition":[30],"data":[32,45,91,197],"sparsity.":[33],"To":[34],"address":[35],"this":[36,73],"challenge,":[37],"some":[38],"methods":[39,57],"have":[40],"leveraged":[41],"external":[42,87],"behavior":[44,90],"from":[46,69,92,153],"multiple":[47],"platforms":[48,64],"enrich":[50],"representation.":[52],"However,":[53],"all":[54],"these":[56],"require":[58],"a":[59,78,104,112,132,137,141],"consistent":[60],"ID":[62],"across":[63],"and":[65,102,115,140,149,179,202,210,224,237,249],"ignore":[66],"information":[68],"similar":[70],"users.":[71],"In":[72],"study,":[74],"we":[75,168],"propose":[76],"RUEL,":[77],"novel":[79],"retrieval-based":[80],"sequential":[81,221],"that":[83,121,193,226],"can":[84,203],"effectively":[85],"incorporate":[86],"anonymous":[88],"Edge":[93,108],"browser":[94,109],"logs":[95,110],"enhance":[97],"recommendation.":[98],"We":[99,129,212,232],"first":[100,191],"collect":[101],"preprocess":[103],"large":[105],"volume":[106],"over":[111],"one-year":[113],"period":[114],"link":[116],"them":[117],"target":[119],"entities":[120],"correspond":[122],"candidate":[124],"items":[125,178],"in":[126],"recommendation":[127,200,208,222],"datasets.":[128,211],"then":[130],"design":[131],"contrastive":[133],"learning":[134],"framework":[135],"momentum":[138],"encoder":[139],"memory":[142],"bank":[143],"retrieve":[145],"most":[147],"relevant":[148],"diverse":[150],"browsing":[151,156,196],"sequences":[152],"full":[155],"log":[157],"based":[158],"semantic":[161],"similarity":[162],"between":[163],"representations.":[165],"After":[166],"retrieval,":[167],"apply":[169],"an":[170],"item-level":[171],"attentive":[172],"selector":[173],"filter":[175],"out":[176],"noisy":[177],"generate":[180],"refined":[181],"sequence":[182],"embeddings":[183],"for":[184,220],"final":[186],"predictor.":[187],"RUEL":[188,227,248],"method":[192],"connects":[194],"typical":[199],"datasets":[201,219],"be":[204],"generalized":[205],"scenarios":[209],"conduct":[213,234],"extensive":[214],"experiments":[215],"four":[217],"real":[218],"tasks":[223],"demonstrate":[225],"significantly":[228],"outperforms":[229],"state-of-the-art":[230],"baselines.":[231],"also":[233],"ablation":[235],"studies":[236],"qualitative":[238],"analysis":[239],"validate":[241],"effectiveness":[243],"each":[245],"component":[246],"provide":[250],"additional":[251],"insights":[252],"into":[253],"our":[254],"method.":[255]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}