{"id":"https://openalex.org/W4385567729","doi":"https://doi.org/10.1145/3580305.3599320","title":"E-commerce Search via Content Collaborative Graph Neural Network","display_name":"E-commerce Search via Content Collaborative Graph Neural Network","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567729","doi":"https://doi.org/10.1145/3580305.3599320"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599320","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 SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5010425394","display_name":"Guipeng Xv","orcid":"https://orcid.org/0000-0001-5320-5489"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guipeng Xv","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707569","display_name":"Chen Lin","orcid":"https://orcid.org/0000-0002-2275-997X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lin","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076657105","display_name":"Wanxian Guan","orcid":"https://orcid.org/0000-0002-3774-886X"},"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":"Wanxian Guan","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/A5026982551","display_name":"Junqiang Gou","orcid":"https://orcid.org/0009-0007-1357-1469"},"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":"Jinping Gou","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/A5030627348","display_name":"Xubin Li","orcid":"https://orcid.org/0000-0002-1547-4052"},"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":"Xubin 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/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, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739665","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0003-3111-1005"},"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":"Jian Xu","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/A5073856221","display_name":"Bo Zheng","orcid":"https://orcid.org/0000-0002-4037-6315"},"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":"Bo Zheng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5010425394"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":8.1027,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97499598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2885","last_page":"2897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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":0.8107022047042847},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6782551407814026},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6105568408966064},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.565662145614624},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.5157849788665771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46573272347450256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.430914044380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4158652722835541},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39252033829689026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34698283672332764},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.342744916677475},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11198121309280396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107022047042847},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6782551407814026},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6105568408966064},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.565662145614624},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5157849788665771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46573272347450256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.430914044380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4158652722835541},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39252033829689026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34698283672332764},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.342744916677475},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11198121309280396},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599320","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 SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6588304666","display_name":null,"funder_award_id":"61972328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2463133191","https://openalex.org/W2625758617","https://openalex.org/W2748717891","https://openalex.org/W2808965910","https://openalex.org/W2945827670","https://openalex.org/W2951626319","https://openalex.org/W2962805116","https://openalex.org/W2963017945","https://openalex.org/W2963655167","https://openalex.org/W2976462669","https://openalex.org/W2982108874","https://openalex.org/W3010775781","https://openalex.org/W3034828204","https://openalex.org/W3045200674","https://openalex.org/W3048212149","https://openalex.org/W3089769000","https://openalex.org/W3094019450","https://openalex.org/W3095746859","https://openalex.org/W3096290703","https://openalex.org/W3100278010","https://openalex.org/W3101469547","https://openalex.org/W3112334685","https://openalex.org/W3153325943","https://openalex.org/W3154323687","https://openalex.org/W3154503084","https://openalex.org/W3155333579","https://openalex.org/W3157393048","https://openalex.org/W3166125679","https://openalex.org/W3166614311","https://openalex.org/W3170127813","https://openalex.org/W3192113933","https://openalex.org/W3201632862","https://openalex.org/W3217015614","https://openalex.org/W4212836229","https://openalex.org/W4213069590","https://openalex.org/W4221155074","https://openalex.org/W4221155633","https://openalex.org/W4224321132","https://openalex.org/W4284666445","https://openalex.org/W4284702440","https://openalex.org/W4285288414","https://openalex.org/W4290875860","https://openalex.org/W4290878031","https://openalex.org/W4292808932","https://openalex.org/W4296604434","https://openalex.org/W4297971002","https://openalex.org/W4322718576","https://openalex.org/W4322724043","https://openalex.org/W6891867974"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W3025615835","https://openalex.org/W4384133558","https://openalex.org/W173210993","https://openalex.org/W3200661810","https://openalex.org/W4389995241","https://openalex.org/W3213655484","https://openalex.org/W4320149722"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"E-commerce":[2,128],"search":[3,177],"models":[4,175],"are":[5,17],"based":[6],"on":[7,36,125,182],"Graph":[8,55],"Neural":[9,56],"Networks":[10],"(GNNs).":[11],"Despite":[12],"their":[13],"promising":[14],"performances,":[15],"they":[16],"(1)":[18],"lacking":[19],"proper":[20,72],"semantic":[21,77],"representation":[22],"of":[23,74,130,149,168,196],"product":[24],"contents;":[25],"(2)":[26],"less":[27,34],"efficient":[28,92],"for":[29,102,154,176],"industry-scale":[30],"graphs;":[31],"and":[32,39,76,98,115,158,178],"(3)":[33],"accurate":[35],"long-tail":[37,156],"queries":[38,157],"cold-start":[40,159],"products.":[41],"To":[42],"address":[43],"these":[44],"problems":[45],"simultaneously,":[46],"this":[47],"paper":[48],"proposes":[49],"CC-GNN,":[50],"a":[51,85,126,183],"novel":[52],"Content":[53],"Collaborative":[54],"Network.":[57],"Firstly,":[58],"CC-GNN":[59,80,107,135,169],"enables":[60],"content":[61],"phrases":[62,75],"to":[63,69,118,173],"participate":[64],"explicitly":[65],"in":[66,147],"graph":[67,88,93,103],"propagation":[68],"capture":[70],"the":[71,120,189,194],"meaning":[73],"drifts.":[78],"Secondly,":[79],"presents":[81],"several":[82,150],"efforts":[83],"towards":[84],"more":[86,143],"scalable":[87],"learning":[89,117],"framework,":[90],"including":[91],"construction,":[94],"MetaPath-guided":[95],"Message":[96],"Passing,":[97],"Difficulty-aware":[99],"Representation":[100],"Perturbation":[101],"contrastive":[104,116],"learning.":[105],"Furthermore,":[106],"adopts":[108],"Counterfactual":[109],"Data":[110],"Supplement":[111],"at":[112],"both":[113],"supervised":[114],"resolve":[119],"long-tail/cold-start":[121],"problems.":[122],"Extensive":[123],"experiments":[124],"real":[127],"dataset":[129,185],"100-million-scale":[131],"nodes":[132],"show":[133,186],"that":[134,187],"produces":[136],"significant":[137],"improvements":[138,146],"over":[139],"existing":[140],"methods":[141],"(i.e.,":[142],"than":[144],"10%":[145],"terms":[148],"key":[151],"evaluation":[152],"metrics":[153],"overall,":[155],"products)":[160],"while":[161],"reducing":[162],"computational":[163],"complexity.":[164],"The":[165],"proposed":[166,190],"components":[167,191],"can":[170,192],"be":[171],"applied":[172],"other":[174],"recommendation":[179,198],"tasks.":[180],"Experiments":[181],"public":[184],"applying":[188],"improve":[193],"performance":[195],"different":[197],"models.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
