{"id":"https://openalex.org/W4387848703","doi":"https://doi.org/10.1145/3583780.3614810","title":"CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression","display_name":"CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848703","doi":"https://doi.org/10.1145/3583780.3614810"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614810","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":"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/A5100357631","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0003-0161-3119"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"XiaoYu Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0161-3119","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058507941","display_name":"Yonghui Guo","orcid":"https://orcid.org/0009-0004-8594-2300"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YongHui Guo","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-8594-2300","affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052162023","display_name":"Xiaoyang Ma","orcid":"https://orcid.org/0000-0001-7783-0609"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Ma","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7783-0609","affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037220641","display_name":"Dongbo Huang","orcid":"https://orcid.org/0000-0003-3515-7481"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbo Huang","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3515-7481","affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467168","display_name":"Lan Xu","orcid":"https://orcid.org/0000-0003-0743-1965"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Xu","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0743-1965","affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067465324","display_name":"Haisheng Tan","orcid":"https://orcid.org/0000-0002-3133-1430"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Tan","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3133-1430","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068533528","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-7545-6745"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7545-6745","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341802","display_name":"Xiang\u2010Yang Li","orcid":"https://orcid.org/0000-0002-6070-6625"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang-Yang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6070-6625","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100357631"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3016,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56855247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2544","last_page":"2553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8395434021949768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347357273101807},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.6625828742980957},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.5645043849945068},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4731864929199219},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.46746280789375305},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4515945613384247},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43791621923446655},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42804357409477234},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4147898256778717},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.26279473304748535},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16819173097610474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13493359088897705}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8395434021949768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347357273101807},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.6625828742980957},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.5645043849945068},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4731864929199219},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.46746280789375305},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4515945613384247},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43791621923446655},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42804357409477234},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4147898256778717},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26279473304748535},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16819173097610474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13493359088897705},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3614810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614810","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1981658442","https://openalex.org/W2038804116","https://openalex.org/W2116522068","https://openalex.org/W2119885577","https://openalex.org/W2159651898","https://openalex.org/W2177978941","https://openalex.org/W2559997609","https://openalex.org/W2604847698","https://openalex.org/W2747599906","https://openalex.org/W2756203131","https://openalex.org/W2770058355","https://openalex.org/W2790781641","https://openalex.org/W2797846142","https://openalex.org/W2890096158","https://openalex.org/W2949988687","https://openalex.org/W2952990337","https://openalex.org/W2980994438","https://openalex.org/W3017160304","https://openalex.org/W3080253043","https://openalex.org/W3080566296","https://openalex.org/W3103720336","https://openalex.org/W3106125326","https://openalex.org/W3121975202","https://openalex.org/W3173539742","https://openalex.org/W3177318507","https://openalex.org/W3212890323","https://openalex.org/W4207080468","https://openalex.org/W4283721567","https://openalex.org/W4287814827","https://openalex.org/W4290927703","https://openalex.org/W4319781637"],"related_works":["https://openalex.org/W2327021330","https://openalex.org/W2316594088","https://openalex.org/W2397440126","https://openalex.org/W2409084359","https://openalex.org/W2931688134","https://openalex.org/W68571419","https://openalex.org/W4392328073","https://openalex.org/W2317327847","https://openalex.org/W2377919138","https://openalex.org/W2989908193"],"abstract_inverted_index":{"User":[0],"impression":[1],"forecasting":[2],"underpins":[3],"various":[4],"commercial":[5],"activities,":[6],"from":[7],"long-term":[8],"strategic":[9],"decisions":[10],"to":[11,38,89,103],"short-term":[12],"automated":[13],"operations.":[14],"As":[15],"a":[16,52],"representative":[17],"that":[18],"involves":[19],"both":[20],"kinds,":[21],"the":[22,48,69,75,79,90,115],"highly":[23],"profitable":[24],"Guaranteed":[25],"Delivery":[26],"(GD)":[27],"advertising":[28],"focuses":[29],"mainly":[30],"on":[31],"promoting":[32],"brand":[33],"effect":[34],"by":[35],"allowing":[36],"advertisers":[37],"order":[39],"target":[40],"impressions":[41,73],"weeksin":[42],"advance":[43],"and":[44,78],"get":[45],"allocatedonline":[46],"at":[47],"scheduled":[49],"time.":[50],"Such":[51],"business":[53],"mode":[54],"naturally":[55],"incurs":[56],"three":[57],"issues":[58],"making":[59],"existing":[60],"solutions":[61],"inferior:":[62],"1)":[63],"Timescale-granularity":[64],"dilemma":[65,99],"of":[66,71,74,93,100,106,111],"coherently":[67],"supporting":[68],"sales":[70],"day-level":[72],"distant":[76],"future":[77],"corresponding":[80],"fine-grained":[81],"allocation":[82],"in":[83],"real-time.":[84],"2)":[85],"High":[86],"dimensionality":[87],"due":[88],"Cartesian":[91],"product":[92],"user":[94],"attribute":[95],"combinations.":[96],"3)":[97],"Stability-plasticity":[98],"instant":[101],"adaptation":[102],"emerging":[104],"patterns":[105],"temporal":[107],"dependency":[108],"withoutcatastrophic":[109],"forgetting":[110],"repeated":[112],"ones":[113],"facing":[114],"non-stationary":[116],"traffic.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
