{"id":"https://openalex.org/W3209067688","doi":"https://doi.org/10.1145/3459637.3481960","title":"Unsupervised Categorical Representation Learning for Package Arrival Time Prediction","display_name":"Unsupervised Categorical Representation Learning for Package Arrival Time Prediction","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209067688","doi":"https://doi.org/10.1145/3459637.3481960","mag":"3209067688"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3481960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3481960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & 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/A5101937667","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-9210-3012"},"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":"Yang Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101768800","display_name":"Xingyu Wu","orcid":"https://orcid.org/0000-0001-7802-0931"},"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":"Xingyu Wu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810063","display_name":"Jinglong Wang","orcid":"https://orcid.org/0000-0002-4969-2453"},"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":"Jinglong Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072988055","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-9031-9696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Alibaba-NTU Singapore Joint Research Institute, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Alibaba-NTU Singapore Joint Research Institute, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452962","display_name":"Xiaoqing Wang","orcid":"https://orcid.org/0000-0003-3965-5728"},"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":"Xiaoqing Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110790626","display_name":"Yuming Deng","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":"Yuming Deng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101937667"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":1.5903,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84458889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3935","last_page":"3944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9929999709129333,"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":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.9427316188812256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513666152954102},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6052149534225464},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5729784965515137},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5567483901977539},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5519945025444031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5367895364761353},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4859975278377533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4704270362854004},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4197002053260803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33310991525650024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08090436458587646}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.9427316188812256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513666152954102},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6052149534225464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5729784965515137},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5567483901977539},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5519945025444031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5367895364761353},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4859975278377533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4704270362854004},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4197002053260803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33310991525650024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08090436458587646},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3481960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3481960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & 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":30,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2030644393","https://openalex.org/W2094728533","https://openalex.org/W2143891888","https://openalex.org/W2154851992","https://openalex.org/W2161160262","https://openalex.org/W2295739661","https://openalex.org/W2412320034","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2743104969","https://openalex.org/W2809128166","https://openalex.org/W2809623940","https://openalex.org/W2898085636","https://openalex.org/W2911826336","https://openalex.org/W2950577311","https://openalex.org/W2951001079","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2963601856","https://openalex.org/W2964182926","https://openalex.org/W2979450518","https://openalex.org/W2985165384","https://openalex.org/W3043922872","https://openalex.org/W3080227975","https://openalex.org/W3101704389","https://openalex.org/W3104097132","https://openalex.org/W3104439459","https://openalex.org/W4312075150"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W2905271011","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006","https://openalex.org/W60493759","https://openalex.org/W4308619659"],"abstract_inverted_index":{"Estimated":[0],"Time":[1],"of":[2,24,34],"package":[3],"Arrival":[4],"(ETA)":[5],"is":[6,37,44],"an":[7],"essential":[8],"task":[9],"for":[10,51,73],"Alibaba":[11,35],"E-commerce":[12],"platforms":[13,36],"like":[14],"Taobao":[15],"and":[16,54],"Tmall,":[17],"which":[18,43],"may":[19],"influence":[20],"the":[21,56,69],"user":[22],"experiences":[23],"one":[25],"billion":[26],"customers.":[27],"The":[28],"main":[29],"challenge":[30],"in":[31],"ETA":[32],"prediction":[33],"learning":[38],"from":[39],"high-dimensional":[40],"categorical":[41,74],"attributes,":[42],"equally":[45],"important":[46],"to":[47],"obtain":[48],"appropriate":[49],"representations":[50],"each":[52],"feature,":[53],"describe":[55],"proximity":[57],"among":[58],"them.":[59],"Although":[60],"recent":[61],"supervised":[62],"end-to-end":[63],"methods":[64],"have":[65],"achieved":[66],"great":[67],"improvements,":[68],"unsupervised":[70],"embedding":[71],"method":[72],"attributes":[75],"has":[76],"not":[77],"been":[78],"well-studied":[79],"yet,":[80],"especially":[81],"when":[82],"dealing":[83],"with":[84],"large-scale":[85],"sparse":[86],"datasets.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}