{"id":"https://openalex.org/W4412876903","doi":"https://doi.org/10.1145/3711896.3737256","title":"Personalized Query Auto-Completion for Long and Short-Term Interests with Adaptive Detoxification Generation","display_name":"Personalized Query Auto-Completion for Long and Short-Term Interests with Adaptive Detoxification Generation","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876903","doi":"https://doi.org/10.1145/3711896.3737256"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737256","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737256","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070118117","display_name":"Zhibo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhibo Wang","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042480513","display_name":"Xiaoze Jiang","orcid":"https://orcid.org/0000-0002-5463-7176"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoze Jiang","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059151247","display_name":"Z. H. Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiheng Qin","raw_affiliation_strings":["Independent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054552826","display_name":"Enyun Yu","orcid":"https://orcid.org/0009-0009-0847-7464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enyun Yu","raw_affiliation_strings":["Independent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070118117"],"corresponding_institution_ids":["https://openalex.org/I4401726859"],"apc_list":null,"apc_paid":null,"fwci":1.4558,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85166695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5018","last_page":"5028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9961000084877014,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9900000095367432,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detoxification","display_name":"Detoxification (alternative medicine)","score":0.7888509631156921},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.756880521774292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706558108329773},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4137669801712036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32966798543930054},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09223872423171997}],"concepts":[{"id":"https://openalex.org/C2780497538","wikidata":"https://www.wikidata.org/wiki/Q1192006","display_name":"Detoxification (alternative medicine)","level":3,"score":0.7888509631156921},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.756880521774292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706558108329773},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4137669801712036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32966798543930054},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09223872423171997},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737256","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737256","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412876903.pdf","grobid_xml":"https://content.openalex.org/works/W4412876903.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W1982858363","https://openalex.org/W1990387666","https://openalex.org/W2086751477","https://openalex.org/W2136189984","https://openalex.org/W2146717104","https://openalex.org/W2164986850","https://openalex.org/W2595653137","https://openalex.org/W2605788504","https://openalex.org/W2612690371","https://openalex.org/W2962791799","https://openalex.org/W2990138404","https://openalex.org/W2992252352","https://openalex.org/W3034238904","https://openalex.org/W3034999214","https://openalex.org/W3035085156","https://openalex.org/W3081108522","https://openalex.org/W3093599560","https://openalex.org/W3095319910","https://openalex.org/W3100355250","https://openalex.org/W3202026069","https://openalex.org/W3212973774","https://openalex.org/W4226278401","https://openalex.org/W4281765689","https://openalex.org/W4379474731","https://openalex.org/W4385571653","https://openalex.org/W4385637535","https://openalex.org/W4389524022","https://openalex.org/W4396736493","https://openalex.org/W4400524678","https://openalex.org/W4401042987","https://openalex.org/W6798038150"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2421782824","https://openalex.org/W2001138271","https://openalex.org/W2358980004","https://openalex.org/W4388133721","https://openalex.org/W2170632438","https://openalex.org/W2068847161","https://openalex.org/W2102311809"],"abstract_inverted_index":{"Query":[0],"auto-completion":[1],"(QAC)":[2],"plays":[3],"a":[4,27,43,127,172,188],"crucial":[5],"role":[6],"in":[7,11,50,236],"modern":[8],"search":[9,40],"systems.However,":[10],"real-world":[12],"applications,":[13],"there":[14,25],"are":[15,57],"two":[16,123,238],"pressing":[17],"challenges":[18],"that":[19,131],"still":[20,116],"need":[21,28],"to":[22,75,88,101,109,208,215],"be":[23],"addressed.First,":[24],"is":[26,96,147,210],"for":[29,33],"hierarchical":[30],"personalized":[31,133,145,160],"representations":[32],"users.Previous":[34],"approaches":[35],"have":[36,104],"typically":[37,58],"used":[38],"users'":[39],"behavior":[41],"as":[42,158,162],"single,":[44],"overall":[45],"representation,":[46],"which":[47],"proves":[48],"inadequate":[49],"more":[51],"nuanced":[52],"generative":[53],"scenarios.Additionally,":[54],"query":[55],"prefixes":[56],"short":[59],"and":[60,86,138,153,196,213,225],"may":[61],"contain":[62],"typos":[63],"or":[64],"sensitive":[65],"information,":[66],"increasing":[67],"the":[68,92,110,194,199,204,216,231,251],"likelihood":[69],"of":[70,240],"generating":[71,106],"toxic":[72,80],"content":[73,81],"compared":[74],"traditional":[76],"text":[77,206],"generation":[78,167],"tasks.Such":[79],"can":[82],"degrade":[83],"user":[84,119],"experience":[85],"lead":[87],"public":[89],"relations":[90],"issues.Therefore,":[91],"second":[93],"critical":[94],"challenge":[95],"detoxifying":[97],"QAC":[98],"systems.Recent":[99],"efforts":[100],"mitigate":[102],"toxicity":[103],"involved":[105],"queries":[107],"unrelated":[108],"given":[111,217],"prefix,":[112],"leading":[113],"this":[114],"approach":[115,156],"negatively":[117],"impacts":[118],"experience.To":[120],"address":[121],"these":[122],"limitations,":[124],"we":[125,175],"propose":[126,176],"novel":[128],"model":[129,200,243],"(LaD)":[130],"captures":[132],"information":[134,146,161],"from":[135],"both":[136,151,193,211],"long-term":[137],"short-term":[139],"interests,":[140],"incorporating":[141,187],"adaptive":[142,202],"detoxification.In":[143],"LaD,":[144],"captured":[148],"hierarchically":[149],"at":[150],"coarse-grained":[152],"fine-grained":[154],"levels.This":[155],"preserves":[157],"much":[159],"possible":[163],"while":[164],"enabling":[165],"online":[166,178,227],"within":[168],"time":[169],"constraints.To":[170],"move":[171],"further":[173],"step,":[174],"an":[177],"training":[179,195],"method":[180],"based":[181],"on":[182,222,247],"Reject":[183],"Preference":[184],"Optimization":[185],"(RPO).By":[186],"special":[189],"token":[190],"[Reject]":[191],"during":[192],"inference":[197],"processes,":[198],"achieves":[201],"detoxification.Consequently,":[203],"generated":[205],"presented":[207],"users":[209],"non-toxic":[212],"relevant":[214],"prefix.We":[218],"conduct":[219],"comprehensive":[220],"experiments":[221],"industrial-scale":[223],"datasets":[224],"perform":[226],"A/B":[228],"tests,":[229],"delivering":[230],"largest":[232],"single-experiment":[233],"metric":[234],"improvement":[235],"nearly":[237],"years":[239],"our":[241],"product.Our":[242],"has":[244],"been":[245],"deployed":[246],"Kuaishou":[248],"search,":[249],"driving":[250],"primary":[252],"traffic":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}