{"id":"https://openalex.org/W3093519337","doi":"https://doi.org/10.1145/3340531.3412744","title":"Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction","display_name":"Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093519337","doi":"https://doi.org/10.1145/3340531.3412744","mag":"3093519337"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412744","pdf_url":null,"source":null,"license":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112127729","display_name":"Qi Pi","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":"Qi Pi","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108693980","display_name":"Guorui Zhou","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":"Guorui Zhou","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326151","display_name":"Yujing Zhang","orcid":"https://orcid.org/0000-0003-3878-0690"},"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":"Yujing Zhang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407591","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0001-9727-5569"},"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":"Zhe Wang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036565640","display_name":"Lejian Ren","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":"Lejian Ren","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701973","display_name":"Ying Fan","orcid":"https://orcid.org/0000-0002-2368-2572"},"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":"Ying Fan","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102812997","display_name":"Xiaoqiang Zhu","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":"Xiaoqiang Zhu","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062939922","display_name":"Kun Gai","orcid":"https://orcid.org/0000-0002-3636-3618"},"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":"Kun Gai","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5112127729"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":30.3531,"has_fulltext":false,"cited_by_count":239,"citation_normalized_percentile":{"value":0.99656373,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2685","last_page":"2692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9868000149726868,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/click-through-rate","display_name":"Click-through rate","score":0.8141499161720276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8002017736434937},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6243351101875305},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.5944565534591675},{"id":"https://openalex.org/keywords/display-advertising","display_name":"Display advertising","score":0.493571400642395},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4799123704433441},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4429715871810913},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.41864052414894104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.395355761051178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3815370500087738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.372397780418396},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.3479961156845093},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.23058763146400452},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1846899688243866},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.18227848410606384},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1401490569114685},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1000647246837616}],"concepts":[{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.8141499161720276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002017736434937},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6243351101875305},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5944565534591675},{"id":"https://openalex.org/C2777999536","wikidata":"https://www.wikidata.org/wiki/Q2399498","display_name":"Display advertising","level":4,"score":0.493571400642395},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4799123704433441},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4429715871810913},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.41864052414894104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.395355761051178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3815370500087738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.372397780418396},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.3479961156845093},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.23058763146400452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1846899688243866},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.18227848410606384},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1401490569114685},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1000647246837616},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412744","pdf_url":null,"source":null,"license":null,"license_id":null,"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":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2169054943","https://openalex.org/W2262817822","https://openalex.org/W2347817542","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2783272285","https://openalex.org/W2793768763","https://openalex.org/W2902040508","https://openalex.org/W2936133855","https://openalex.org/W2942947041","https://openalex.org/W2945772520","https://openalex.org/W2951066642","https://openalex.org/W2962745591","https://openalex.org/W2964182926","https://openalex.org/W2965898633","https://openalex.org/W2982902390","https://openalex.org/W2984100107","https://openalex.org/W3096591391","https://openalex.org/W3100199015","https://openalex.org/W3104030692","https://openalex.org/W3106252282"],"related_works":["https://openalex.org/W2100597815","https://openalex.org/W175164097","https://openalex.org/W2143648166","https://openalex.org/W2952316437","https://openalex.org/W4300589523","https://openalex.org/W2591602503","https://openalex.org/W2078847107","https://openalex.org/W2096414357","https://openalex.org/W3120879483","https://openalex.org/W2162862818"],"abstract_inverted_index":{"Rich":[0],"user":[1,48,83,98,109],"behavior":[2,49,84,110],"data":[3,85],"has":[4],"been":[5],"proven":[6],"to":[7,36,43,90,95],"be":[8],"of":[9,66,108],"great":[10],"value":[11],"for":[12],"click-through":[13],"rate":[14],"prediction":[15],"tasks,":[16],"especially":[17],"in":[18,124],"industrial":[19,77],"applications":[20],"such":[21],"as":[22],"recommender":[23],"systems":[24],"and":[25,30,39,70],"online":[26],"advertising.":[27],"Both":[28],"industry":[29],"academy":[31],"have":[32],"paid":[33],"much":[34],"attention":[35],"this":[37],"topic":[38],"propose":[40],"different":[41],"approaches":[42],"modeling":[44],"with":[45,63,86],"long":[46],"sequential":[47,82],"data.":[50],"Among":[51],"them,":[52],"memory":[53],"network":[54],"based":[55],"model":[56,81],"MIMN":[57,73,93],"proposed":[58,126],"by":[59,115],"Alibaba,":[60],"achieves":[61],"SOTA":[62],"the":[64,75,106],"co-design":[65],"both":[67],"learning":[68],"algorithm":[69],"serving":[71],"system.":[72],"is":[74],"first":[76],"solution":[78],"that":[79],"can":[80],"length":[87,107],"scaling":[88],"up":[89],"1000.":[91],"However,":[92],"fails":[94],"precisely":[96],"capture":[97],"interests":[99],"given":[100],"a":[101],"specific":[102],"candidate":[103],"item":[104],"when":[105],"sequence":[111],"increases":[112],"further,":[113],"say,":[114],"10":[116],"times":[117],"or":[118],"more.":[119],"This":[120],"challenge":[121],"exists":[122],"widely":[123],"previously":[125],"approaches.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":65},{"year":2024,"cited_by_count":55},{"year":2023,"cited_by_count":55},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}
