{"id":"https://openalex.org/W3154474242","doi":"https://doi.org/10.1145/3442381.3450105","title":"FINN: Feedback Interactive Neural Network for Intent Recommendation","display_name":"FINN: Feedback Interactive Neural Network for Intent Recommendation","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3154474242","doi":"https://doi.org/10.1145/3442381.3450105","mag":"3154474242"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3450105","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450105","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3450105","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101560786","display_name":"Yatao Yang","orcid":"https://orcid.org/0000-0001-5492-4477"},"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":"Yatao Yang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052710725","display_name":"Biyu Ma","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":"Biyu Ma","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770589","display_name":"Jun Tan","orcid":"https://orcid.org/0000-0001-5827-4694"},"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":"Jun Tan","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786215","display_name":"Hongbo Deng","orcid":"https://orcid.org/0000-0002-9659-5111"},"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":"Hongbo Deng","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070798885","display_name":"Haikuan Huang","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":"Haikuan Huang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1949","last_page":"1958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9952999949455261,"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":0.9952999949455261,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9811000227928162,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9763000011444092,"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":0.8374799489974976},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5601821541786194},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5406728386878967},{"id":"https://openalex.org/keywords/user-information","display_name":"User information","score":0.5159810185432434},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47190386056900024},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.45983996987342834},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.4483639895915985},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.43741321563720703},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43500804901123047},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41916030645370483},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.41120022535324097},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.40219101309776306},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39359307289123535},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.33298173546791077},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.2209325134754181}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8374799489974976},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5601821541786194},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5406728386878967},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.5159810185432434},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47190386056900024},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.45983996987342834},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.4483639895915985},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.43741321563720703},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43500804901123047},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41916030645370483},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.41120022535324097},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40219101309776306},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39359307289123535},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.33298173546791077},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2209325134754181},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3450105","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450105","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3450105","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450105","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W947140380","https://openalex.org/W1564094940","https://openalex.org/W1678356000","https://openalex.org/W1990387666","https://openalex.org/W1993378086","https://openalex.org/W2018838261","https://openalex.org/W2030960598","https://openalex.org/W2042373492","https://openalex.org/W2043257601","https://openalex.org/W2080825533","https://openalex.org/W2093245971","https://openalex.org/W2115584760","https://openalex.org/W2117075666","https://openalex.org/W2128699418","https://openalex.org/W2141014056","https://openalex.org/W2162592052","https://openalex.org/W2163614729","https://openalex.org/W2163987313","https://openalex.org/W2164986850","https://openalex.org/W2289979135","https://openalex.org/W2510315076","https://openalex.org/W2597186397","https://openalex.org/W2765690456","https://openalex.org/W2768348081","https://openalex.org/W2788210317","https://openalex.org/W2897055093","https://openalex.org/W2914971589","https://openalex.org/W2951626319","https://openalex.org/W2953384591","https://openalex.org/W2965394851","https://openalex.org/W2966827122","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2537376277","https://openalex.org/W2471180092","https://openalex.org/W2214462757","https://openalex.org/W3048212026","https://openalex.org/W2786397983","https://openalex.org/W4360925797","https://openalex.org/W2505756943","https://openalex.org/W4316810125","https://openalex.org/W2160762853","https://openalex.org/W2373382863"],"abstract_inverted_index":{"Intent":[0],"recommendation,":[1],"as":[2,48,64,184,206],"a":[3,12,16,131],"new":[4],"type":[5],"of":[6,29,99,121,149,240,325],"recommendation":[7,38,109],"service,":[8],"is":[9,56,114,180,201,224,246],"to":[10,15,57,65,87,137,226,248],"recommend":[11,264],"predicted":[13],"query":[14,186,208,258,265],"user":[17,24,105,122,179,200,268],"in":[18,44,125],"the":[19,23,27,100,104,107,115,150,154,178,185,189,199,207,211,217,229,250,253,296,300,316,328],"search":[20,61,68,85,123,141,174,195,255],"box":[21],"when":[22],"lands":[25],"on":[26,75,82],"homepage":[28],"an":[30,36],"application":[31,303],"without":[32],"any":[33],"input.":[34],"Such":[35],"intent":[37,108,142,175,196,256],"service":[39],"has":[40],"been":[41,280],"widely":[42],"used":[43,187],"e-commerce":[45],"applications,":[46],"such":[47,183,205],"Taobao":[49,301],"and":[50,70,106,163,188,232,237,257,263,270,287,320],"Amazon.":[51],"The":[52],"most":[53],"difficult":[54],"part":[55],"accurately":[58],"predict":[59],"user\u2019s":[60,67,83,89,139,173,194,254],"intent,":[62,91],"so":[63],"improve":[66],"experience":[69],"reduce":[71],"tedious":[72],"typing":[73],"especially":[74],"mobile":[76,302],"phones.":[77],"Existing":[78],"methods":[79],"mainly":[80],"rely":[81],"historical":[84],"behaviors":[86],"estimate":[88,138],"current":[90],"but":[92,213],"they":[93],"do":[94],"not":[95,202,214],"make":[96],"full":[97,147],"use":[98,148],"feedback":[101,112,132,151,161,165,231],"information":[102,113,167,176,197],"between":[103,252],"system.":[110],"Essentially,":[111],"key":[116],"factor":[117],"for":[118],"capturing":[119],"dynamics":[120],"intents":[124],"real":[126],"time.":[127],"Therefore,":[128],"we":[129],"propose":[130],"interactive":[133],"neural":[134],"network":[135],"(FINN)":[136],"potential":[140],"more":[143,234,322],"accurately,":[144],"by":[145,210,216,282,318],"making":[146],"interaction":[152],"with":[153,273,284],"following":[155],"three":[156],"parts:":[157],"1)":[158],"Both":[159],"positive":[160,236],"(PF)":[162],"negative":[164,238],"(NF)":[166],"are":[168],"collected":[169],"simultaneously.":[170],"PF":[171],"includes":[172],"that":[177,198,290,312],"interested":[181,203],"in,":[182,204],"title":[190],"clicked.":[191],"NF":[192],"indicates":[193],"recommended":[209],"system":[212],"clicked":[215],"user.":[218,275],"2)":[219],"A":[220,243],"filter-attention":[221],"(FAT)":[222],"structure":[223],"proposed":[225],"filter":[227],"out":[228],"noisy":[230],"get":[233],"accurate":[235],"intentions":[239],"users.":[241],"3)":[242],"multi-task":[244],"learning":[245],"designed":[247],"match":[249],"correlation":[251],"candidates,":[259],"which":[260],"can":[261,294],"learn":[262],"candidates":[266],"from":[267],"interests":[269],"disinterests":[271],"associated":[272],"each":[274],"Finally,":[276],"extensive":[277],"experiments":[278],"have":[279],"conducted":[281],"comparing":[283],"state-of-the-art":[285],"methods,":[286],"it":[288],"shows":[289],"our":[291,313],"FINN":[292],"method":[293,314],"achieve":[295],"best":[297],"performance":[298],"using":[299],"dataset.":[304],"In":[305],"addition,":[306],"online":[307],"experimental":[308],"results":[309],"also":[310],"show":[311],"improves":[315],"CTR":[317],"8%":[319],"attracts":[321],"than":[323,327],"7.98%":[324],"users":[326],"baseline.":[329]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}