{"id":"https://openalex.org/W2809307135","doi":"https://doi.org/10.1145/3219819.3219950","title":"STAMP","display_name":"STAMP","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2809307135","doi":"https://doi.org/10.1145/3219819.3219950","mag":"2809307135"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077109703","display_name":"Qiao Liu","orcid":"https://orcid.org/0000-0002-2573-9544"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020408458","display_name":"Yifu Zeng","orcid":"https://orcid.org/0000-0002-2966-2521"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifu Zeng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075954010","display_name":"Refuoe Mokhosi","orcid":"https://orcid.org/0000-0002-3621-8787"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Refuoe Mokhosi","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356583","display_name":"Haibin Zhang","orcid":"https://orcid.org/0000-0002-0080-6341"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":966,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1831","last_page":"1839"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9922000169754028,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8865805864334106},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7063919901847839},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6410331726074219},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6371458768844604},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6326630115509033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43909311294555664},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.41955411434173584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38853466510772705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3359501361846924},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19873303174972534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8865805864334106},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7063919901847839},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6410331726074219},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6371458768844604},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6326630115509033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43909311294555664},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41955411434173584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38853466510772705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3359501361846924},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19873303174972534},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219819.3219950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G168312555","display_name":null,"funder_award_id":"61133016 ,61772117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W1987961977","https://openalex.org/W2016986376","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2138108551","https://openalex.org/W2171279286","https://openalex.org/W2262817822","https://openalex.org/W2340502990","https://openalex.org/W2469952266","https://openalex.org/W2474909202","https://openalex.org/W2512965516","https://openalex.org/W2513020047","https://openalex.org/W2625746539","https://openalex.org/W2739805805","https://openalex.org/W2739901700","https://openalex.org/W2919115771","https://openalex.org/W2949335953","https://openalex.org/W2949888546","https://openalex.org/W2964044287","https://openalex.org/W2964308564","https://openalex.org/W3098231197","https://openalex.org/W4293585414","https://openalex.org/W6630221451"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W2378211422","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782"],"abstract_inverted_index":{"Predicting":[0],"users'":[1,52,69,121,136],"actions":[2,71],"based":[3],"on":[4,72,158],"anonymous":[5],"sessions":[6,94],"is":[7,111,117,155],"a":[8,84,114,129],"challenging":[9],"problem":[10],"in":[11,30,50,182],"web-based":[12],"behavioral":[13],"modeling":[14,92],"research,":[15],"mainly":[16],"due":[17],"to":[18,36,39],"the":[19,25,61,66,125,140,144,151,164,184],"uncertainty":[20],"of":[21,60,68,119,128,143,150],"user":[22,98],"behavior":[23],"and":[24,148,168],"limited":[26],"information.":[27],"Recent":[28],"advances":[29],"recurrent":[31],"neural":[32],"networks":[33],"have":[34],"led":[35],"promising":[37],"approaches":[38,63],"solving":[40],"this":[41,79],"problem,":[42],"with":[43],"long":[44,93],"short-term":[45,107,141],"memory":[46,86,127,142],"model":[47,87,110,178],"proving":[48],"effective":[49],"capturing":[51,120],"general":[53,122],"interests":[54,99,123,138],"from":[55,124,139,163],"previous":[56],"clicks.":[57,104],"However,":[58],"none":[59],"existing":[62],"explicitly":[64],"take":[65],"effects":[67],"current":[70,137],"their":[73],"next":[74],"moves":[75],"into":[76,134],"account.":[77],"In":[78],"study,":[80],"we":[81],"argue":[82],"that":[83,95,176],"long-term":[85,126],"may":[88],"be":[89],"insufficient":[90],"for":[91],"usually":[96],"contain":[97],"drift":[100],"caused":[101],"by":[102],"unintended":[103],"A":[105],"novel":[106],"attention/memory":[108],"priority":[109],"proposed":[112,152],"as":[113],"remedy,":[115],"which":[116],"capable":[118],"session":[130],"context,":[131],"whilst":[132],"taking":[133],"account":[135],"last-clicks.":[145],"The":[146,172],"validity":[147],"efficacy":[149],"attention":[153],"mechanism":[154],"extensively":[156],"evaluated":[157],"three":[159],"benchmark":[160],"data":[161],"sets":[162],"RecSys":[165],"Challenge":[166],"2015":[167],"CIKM":[169],"Cup":[170],"2016.":[171],"numerical":[173],"results":[174],"show":[175],"our":[177],"achieves":[179],"state-of-the-art":[180],"performance":[181],"all":[183],"tests.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":46},{"year":2025,"cited_by_count":119},{"year":2024,"cited_by_count":154},{"year":2023,"cited_by_count":174},{"year":2022,"cited_by_count":171},{"year":2021,"cited_by_count":139},{"year":2020,"cited_by_count":106},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2018-06-29T00:00:00"}
